Announcements

MDPI will be presenting at the 7th Scientific Meeting of Ph.D. Students at the UAB campus (JPhD2023). The event will be held at the Sala d'Actes Institut de Ciència de Materials de Barcelona in Barcelona, Spain, from 7 to 9 June 2023.

JPhD2023 aims to facilitate the exchange of knowledge about scientific research from different fields, sharing of research works and communication among the Ph.D. students of the BNC-b in an academic and scientific environment.

MDPI Speaker

Dr. Gabriel Martínez Edo
Presentation theme: MDPI Open Access & Peer Review Process 

Dr. Gabriel Martínez Edo holds a bachelor’s degree in chemistry (2013) and a master’s degree in pharmaceutical chemistry (2015) from the IQS school of Engineering, Universitat Ramon Llull (Barcelona, Spain). He completed his Ph.D. (2020) in chemistry and chemical engineering at the same institution focusing on the use of nanomaterials as drug delivery systems.

He joined MDPI in June 2020 as Assistant Editor and Section Managing Editor for the journal Nanomaterials. In 2021, he was appointed Managing Editor of the journal Nanomanufacturing, a position he held until his recent appointment as Journal Relations Specialist.  

If you are also attending this conference, please feel free to stop by our booth. Our delegates look forward to meeting you in person to answer any questions you may have. For more information about the conference, please visit: https://jphd.icmab.es/.

Relevant Journals:

The fifth generation of wireless technology (5G) is the backbone of modern IoT-based critical sectors and it offers several benefits, including high speed, low latency, and greater availability. IoT devices and their related systems are expected to grow in number over the next few years. The 5G-enabled IoT has applications in a wide range of domains, such as transportation, healthcare, smart cities, and energy; however, it is also prone to cybersecurity threats. As a result, efficient and end-to-end security solutions are needed to ensure data integrity, confidentiality, and availability of 5G-enabled IoT networks. Digital twins (DTs), as virtual representations of a physical object, process, or service, are also receiving significant attention from academia and industry. DT technology is more efficient than simulations since it uses real data to mimic processes; it also provides significant benefits, such as saving costs and enhancing the decision-making process in a variety of application domains. DT technology can help organizations and industries to identify potential cyber threats, such as sensor attacks, spoof-node attacks, hardware manipulation attacks, energy manipulation attacks, sniffing, distributed denial of service, sensitive data leakage, and fault tolerance, by creating virtual clones. However, by creating a DT of any system, the potential attack surface effectively doubles. Therefore, the cybersecurity of 5G-enabled IoT systems employing DT technology, and the opportunities for DTs themselves to mitigate cybersecurity risks, must be considered.

In this webinar, we will be discussing 5G-enabled IoT and DT technology with respect to cybersecurity and resilience.

This webinar is supported by the Center for Research-Based Innovation (SFI), the Norwegian Center for Cybersecurity in Critical Sectors (NORCICS), the International Alliance for Strengthening Cybersecurity and Privacy in Healthcare (CybAlliance), and the European Knowledge Hub and Policy Testbed for Critical Infrastructure Protection (EU-CIP) projects.

Date: 24 May 2023 at 9:00 a.m. CEST | 3:00 a.m. EDT | 3:00 p.m. CST Asia

Webinar ID: 821 1625 2811

Register now for free!

After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.

Unable to attend? Register anyway and we will let you know when the recording is available to watch.

Webinar Chairs and Speakers:

Relevant Special Issue:

“Cybersecurity and Reliability for 5G and Beyond and IoT Applications”

Edited by: Dr. Sandeep Pirbhulal and Dr. Habtamu Abie

The purpose of the World Telecommunication and Information Society Day is to help raise awareness of the possibilities that the use of the Internet and other information and communication technologies (ICTs) can bring to societies and economies, as well as of ways to bridge the digital divide. 17 May marks the anniversary of the signing of the first International Telegraph Convention and the creation of the International Telecommunication Union (ITU).

This year, World Telecommunication and Information Society Day focuses on “Empowering the least developed countries (LDCs) through information and communication technologies.” As the world becomes increasingly adept at leveraging the Internet for value creation, LDCs risk falling further behind. To further explore the information about digital transformation in these LDCs and communication technologies in the rest of the world on the 2023 World Telecommunication and Information Society Day, we have gathered academic research from several journals on the topic of digital communication, all of which are open access, enabling practitioners, policymakers and people around the world to access and share up-to-date scientific knowledge.

Let us celebrate the World Telecommunication and Information Society Day together.

MDPI is attending the Japan Geoscience Union Meeting 2023 (JpGU 2023). The event will be held at the Makuhari Messe in Chiba, Japan, from 21 to 26 May 2023, and it is organized by the Japan Geoscience Union (JpGU). JpGU is an academic union that encompasses all the Earth and planetary science disciplines and related fields; additionally, it has been organizing annual meetings since 2005. JpGU 2023 will cover a wide range of Earth and planetary sciences, including space and planetary sciences, atmospheric and hydrospheric sciences, human geosciences, solid Earth sciences, and biogeosciences. The JpGU annual meeting provides participants with a good opportunity to become familiar with cutting-edge research and unique approaches to research objects within their own special field and beyond. Representatives of the following MDPI journals will be attending:

• Land;
• Remote Sensing;
• Minerals;
• Sustainability;
• Drones;
• Geographies;
• Climate;
• Geomatics;
• Geosciences;
• Water;
• Quaternary;
• Sensors;
• Earth.

If you are also attending this conference, please feel free to stop by our booth (#Pub05). Our delegates look forward to meeting you in person to answer any questions you may have. For more information about the conference, please visit: https://www.jpgu.org/meeting_e2023/.

A range of MDPI journals will be attending the 40th Annual Conference of Chinese Society for Imaging Science and Technology (SCIST 2023) as exhibitors. This meeting will be held in Kunming, Yunnan, China, from 13 to 16 May 2023.

The theme of this conference is "Strengthening the Driven by Technological Innovation and Building the Future of Photosensitive Imaging". The conference will invite well-known experts and scholars in the field of photosensitive imaging and related fields to make special reports and keynote reports of the conference. It will also organize academic exchanges in 17 sub-sessions in conjunction with various professional committees. The scale of the meeting is expected to be 1000 people.

The following MDPI journals will be represented:

• Applied Sciences;
• J. Imaging;
• Sensors;
• Chemosensors;
• Photonics.

If you are attending this conference, please feel free to start a conversation with us at our booth #1-12. Our delegates look forward to meeting you in person and answering any questions that you may have.

For more information about the conference, please visit https://2021csist.scimeeting.cn/cn/web/index/, or contact the Applied Sciences Editorial Office at [email protected].

As a leading open access publisher, MDPI provides scholars with a high-quality and rich academic exchange platform by continuously expanding into new and exciting research areas.

In December 2022, MDPI launched five new journals, covering multiple subjects such as life sciences, biology, medicine and pharmacology, social sciences and humanities. These new journals are being edited by established scholars across the world.

If you are interested in creating more open access journals with us to publish cutting-edge research, please send your journal proposal application to [email protected].

1. “IoT and Interpretable Machine learning based Framework for Disease Prediction in Pearl Millet”
by Nidhi Kundu, Geeta Rani, Vijaypal Singh Dhaka, Kalpit Gupta, Siddaiah Chandra Nayak, Sahil Verma, Muhammad Fazal Ijaz and Marcin Woźniak
Sensors 2021, 21(16), 5386; https://doi.org/10.3390/s21165386
Available online: https://www.mdpi.com/1424-8220/21/16/5386

2. “Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges”
by Sara Paiva, Mohd Abdul Ahad, Gautami Tripathi, Noushaba Feroz and Gabriella Casalino
Sensors 2021, 21(6), 2143; https://doi.org/10.3390/s21062143
Available online: https://www.mdpi.com/1424-8220/21/6/2143

3. “Internet of Things: Evolution, Concerns and Security Challenges”
by Parushi Malhotra, Yashwant Singh, Pooja Anand, Deep Kumar Bangotra, Pradeep Kumar Singh and Wei-Chiang Hong
Sensors 2021, 21(5), 1809; https://doi.org/10.3390/s21051809
Available online: https://www.mdpi.com/1424-8220/21/5/1809

4. “Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing”
by Shuran Sheng, Peng Chen, Zhimin Chen, Lenan Wu and Yuxuan Yao
Sensors 2021, 21(5), 1666; https://doi.org/10.3390/s21051666
Available online: https://www.mdpi.com/1424-8220/21/5/1666

5. “A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management”
by Mabrook S. Al-Rakhami and Majed Al-Mashari
Sensors 2021, 21(5), 1759; https://doi.org/10.3390/s21051759
Available online: https://www.mdpi.com/1424-8220/21/5/1759

6. “Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System”
by Abdulaziz Fatani, Abdelghani Dahou, Mohammed A. A. Al-qaness, Songfeng Lu and Mohamed Abd Elaziz
Sensors 2022, 22(1), 140; https://doi.org/10.3390/s22010140
Available online: https://www.mdpi.com/1424-8220/22/1/140

7. “UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones”
by Azza Allouch, Omar Cheikhrouhou, Anis Koubâa, Khalifa Toumi, Mohamed Khalgui and Tuan Nguyen Gia
Sensors 2021, 21(9), 3049; https://doi.org/10.3390/s21093049
Available online: https://www.mdpi.com/1424-8220/21/9/3049

8. “Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors”
by Pisana Placidi, Renato Morbidelli, Diego Fortunati, Nicola Papini, Francesco Gobbi and Andrea Scorzoni
Sensors 2021, 21(15), 5110; https://doi.org/10.3390/s21155110
Available online: https://www.mdpi.com/1424-8220/21/15/5110

9. “Sequential Model Based Intrusion Detection System for IoT Servers Using Deep Learning Methods”
by Ming Zhong, Yajin Zhou and Gang Chen
Sensors 2021, 21(4), 1113; https://doi.org/10.3390/s21041113
Available online: https://www.mdpi.com/1424-8220/21/4/1113

10. “SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks”
by Segun I. Popoola, Bamidele Adebisi, Ruth Ande, Mohammad Hammoudeh, Kelvin Anoh and Aderemi A. Atayero
Sensors 2021, 21(9), 2985; https://doi.org/10.3390/s21092985
Available online: https://www.mdpi.com/1424-8220/21/9/2985

MDPI is pleased to announce that we now display the co-authors’ email addresses in addition to the corresponding author’s email address on the webpage of published papers, protected by Captcha. For more information about this change, please visit the journal’s instructions for authors page. 

We believe this change will facilitate academic discussions and advance our cause of open science and research. The corresponding authors are responsible for communicating with their co-authors and indicating in our system (https://susy.mdpi.com/) if co-authors would prefer for their email addresses not to be displayed.

1. “Unobtrusive Health Monitoring in Private Spaces: The Smart Home”
by Ju Wang, Nicolai Spicher, Joana M. Warnecke, Mostafa Haghi, Jonas Schwartze and Thomas M. Deserno
Sensors 2021, 21(3), 864; https://doi.org/10.3390/s21030864
Available online: https://www.mdpi.com/1424-8220/21/3/864

2. “LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms”
by Mehran Behjati, Aishah Binti Mohd Noh, Haider A. H. Alobaidy, Muhammad Aidiel Zulkifley, Rosdiadee Nordin and Nor Fadzilah Abdullah
Sensors 2021, 21(15), 5044; https://doi.org/10.3390/s21155044
Available online: https://www.mdpi.com/1424-8220/21/15/5044

3. “A Secure and Lightweight Authentication Protocol for IoT-Based Smart Homes”
by JiHyeon Oh, SungJin Yu, JoonYoung Lee, SeungHwan Son, MyeongHyun Kim and YoungHo Park
Sensors 2021, 21(4), 1488; https://doi.org/10.3390/s21041488
Available online: https://www.mdpi.com/1424-8220/20/14/4051

4. “Deployment Strategies of Soil Monitoring WSN for Precision Agriculture Irrigation Scheduling in Rural Areas”
by Laura García, Lorena Parra, Jose M. Jimenez, Mar Parra, Jaime Lloret, Pedro V. Mauri and Pascal Lorenz
Sensors 2021, 21(5), 1693; https://doi.org/10.3390/s21051693
Available online: https://www.mdpi.com/1424-8220/21/5/1693

5. “Energy-Efficient Clustering Multi-Hop Routing Protocol in a UWSN”
by Nhat-Tien Nguyen, Thien T. T. Le, Huy-Hung Nguyen and Miroslav Voznak
Sensors 2021, 21(2), 627; https://doi.org/10.3390/s21020627
Available online: https://www.mdpi.com/1424-8220/21/2/627

6. “WSN-SLAP: Secure and Lightweight Mutual Authentication Protocol for Wireless Sensor Networks”
by Deok Kyu Kwon, Sung Jin Yu, Joon Young Lee, Seung Hwan Son and Young Ho Park
Sensors 2021, 21(3), 936; https://doi.org/10.3390/s21030936
Available online: https://www.mdpi.com/1424-8220/21/3/936

7. “An Enhanced Indoor Positioning Algorithm Based on Fingerprint Using Fine-Grained CSI and RSSI Measurements of IEEE 802.11n WLAN”
by Jingjing Wang and Joongoo Park
Sensors 2021, 21(8), 2769; https://doi.org/10.3390/s21082769
Available online: https://www.mdpi.com/1424-8220/21/8/2769

8. “ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks”
by Vaibhav Kotiyal, Abhilash Singh, Sandeep Sharma, Jaiprakash Nagar and Cheng-Chi Lee
Sensors 2021, 21(11), 3576; https://doi.org/10.3390/s21113576
Available online: https://www.mdpi.com/1424-8220/21/11/3576

9. “Development and Implementation of a Hybrid Wireless Sensor Network of Low Power and Long Range for Urban Environments”
by Juan Bravo-Arrabal, J. J. Fernandez-Lozano, Javier Serón, Jose Antonio Gomez-Ruiz and Alfonso García-Cerezo
Sensors 2021, 21(2), 567; https://doi.org/10.3390/s21020567
Available online: https://www.mdpi.com/1424-8220/21/2/567

10. “A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management”
by David Baldo, Alessandro Mecocci, Stefano Parrino, Giacomo Peruzzi and Alessandro Pozzebon
Sensors 2021, 21(8), 2600; https://doi.org/10.3390/s21082600
Available online: https://www.mdpi.com/1424-8220/21/8/2600

1. “Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions”
by Samuel Chukwuemeka Olisa, Muhammad A. Khan and Andrew Starr
Sensors 2021, 21(3), 811; https://doi.org/10.3390/s21030811
Available online: https://www.mdpi.com/1424-8220/21/3/811

2. “A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis”
by Duy Tang Hoang, Xuan Toa Tran, Mien Van and Hee Jun Kang
Sensors 2021, 21(1), 244; https://doi.org/10.3390/s21010244
Available online: https://www.mdpi.com/1424-8220/21/1/244

3. “Serial MTJ-Based TMR Sensors in Bridge Configuration for Detection of Fractured Steel Bar in Magnetic Flux Leakage Testing”
by Zhenhu Jin, Muhamad Arif Ihsan Mohd Noor Sam, Mikihiko Oogane and Yasuo Ando
Sensors 2021, 21(2), 668; https://doi.org/10.3390/s21020668
Available online: https://www.mdpi.com/1424-8220/21/2/668

4. “Chiroptical Metasurfaces: Principles, Classification, and Applications”
by Joohoon Kim, Ahsan Sarwar Rana, Yeseul Kim, Inki Kim, Trevon Badloe, Muhammad Zubair, Muhammad Qasim Mehmood and Junsuk Rho
Sensors 2021, 21(13), 4381; https://doi.org/10.3390/s21134381
Available online: https://www.mdpi.com/1424-8220/21/13/4381

5. “A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte”
by Nazli Kazemi, Kalvin Schofield and Petr Musilek
Sensors 2021, 21(11), 3759; https://doi.org/10.3390/s21113759
Available online: https://www.mdpi.com/1424-8220/21/11/3759

6. “An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach”
by Tasbiraha Athaya and Sunwoong Choi
Sensors 2021, 21(5), 1867; https://doi.org/10.3390/s21051867
Available online: https://www.mdpi.com/1424-8220/21/5/1867

7. “Sensors and Measurements for Unmanned Systems: An Overview”
by Eulalia Balestrieri, Pasquale Daponte, Luca De Vito and Francesco Lamonaca
Sensors 2021, 21(4), 1518; https://doi.org/10.3390/s21041518
Available online: https://www.mdpi.com/1424-8220/21/4/1518

8. “MoS2 Based Photodetectors: A Review”
by Alberto Taffelli, Sandra Dirè, Alberto Quaranta and Lucio Pancheri
Sensors 2021, 21(8), 2758; https://doi.org/10.3390/s21082758
Available online: https://www.mdpi.com/1424-8220/21/8/2758

9. “Flexural Damage Diagnosis in Reinforced Concrete Beams Using a Wireless Admittance Monitoring System—Tests and Finite Element Analysis”
by Constantin E. Chalioris, Violetta K. Kytinou, Maristella E. Voutetaki and Chris G. Karayannis
Sensors 2021, 21(3), 679; https://doi.org/10.3390/s21030679
Available online: https://www.mdpi.com/1424-8220/21/3/679

10. “Review on Conductive Polymer/CNTs Nanocomposites Based Flexible and Stretchable Strain and Pressure Sensors”
by Olfa Kanoun, Ayda Bouhamed, Rajarajan Ramalingame, Jose Roberto Bautista-Quijano, Dhivakar Rajendran and Ammar Al-Hamry
Sensors 2021, 21(2), 341; https://doi.org/10.3390/s21020341
Available online: https://www.mdpi.com/1424-8220/21/2/341

1. “Recent Advances in Enzymatic and Non-Enzymatic Electrochemical Glucose Sensing”
by Mohamed H. Hassan, Cian Vyas, Bruce Grieve and Paulo Bartolo
Sensors 2021, 21(14), 4672; https://doi.org/10.3390/s21144672
Available online: https://www.mdpi.com/1424-8220/21/14/4672

2. “A Review on Functionalized Graphene Sensors for Detection of Ammonia”
by Xiaohui Tang, Marc Debliquy, Driss Lahem, Yiyi Yan and Jean-Pierre Raskin
Sensors 2021, 21(4), 1443; https://doi.org/10.3390/s21041443
Available online: https://www.mdpi.com/1424-8220/21/4/1443

3. “An Outlook of Recent Advances in Chemiresistive Sensor-Based Electronic Nose Systems for Food Quality and Environmental Monitoring”
by Alishba T. John, Krishnan Murugappan, David R. Nisbet and Antonio Tricoli
Sensors 2021, 21(7), 2271; https://doi.org/10.3390/s21072271
Available online: https://www.mdpi.com/1424-8220/21/7/2271

4. “Identification of the Olfactory Profile of Rapeseed Oil as a Function of Heating Time and Ratio of Volume and Surface Area of Contact with Oxygen Using an Electronic Nose”
by Robert Rusinek, Dominik Kmiecik, Marzena Gawrysiak-Witulska, Urszula Malaga-Toboła, Sylwester Tabor, Pavol Findura, Aleksander Siger and Marek Gancarz
Sensors 2021, 21(1), 303; https://doi.org/10.3390/s21010303
Available online: https://www.mdpi.com/1424-8220/21/1/303

5. “Fiber-Optic Localized Surface Plasmon Resonance Sensors Based on Nanomaterials”
By Seunghun Lee, Hyerin Song, Heesang Ahn, Seungchul Kim, Jong-ryul Choi and Kyujung Kim
Sensors 2021, 21(3), 819; https://doi.org/10.3390/s21030819
Available online: https://www.mdpi.com/1424-8220/21/3/819

6. “Preparation and Research of a High-Performance ZnO/SnO₂ Humidity Sensor”
by Fan Li, Peng Li and Hongyan Zhang
Sensors 2022, 22(1), 293; https://doi.org/10.3390/s22010293
Available online: https://www.mdpi.com/1424-8220/22/1/293

7. “Molecularly Imprinted Polymer-Based Sensors for Priority Pollutants”
by Mashaalah Zarejousheghani, Parvaneh Rahimi, Helko Borsdorf, Stefan Zimmermann and Yvonne Joseph
Sensors 2021, 21(7), 2406; https://doi.org/10.3390/s21072406
Available online: https://www.mdpi.com/1424-8220/21/7/2406

8. “Recent Advances in Quenchbody, a Fluorescent Immunosensor”
by Jinhua Dong and Hiroshi Ueda
Sensors 2021, 21(4), 1223; https://doi.org/10.3390/s21041223
Available online: https://www.mdpi.com/1424-8220/21/4/1223

9. “Electrochemical Sensors Based on the Electropolymerized Natural Phenolic Antioxidants and Their Analytical Application”
by Guzel Ziyatdinova, Ekaterina Guss and Elvira Yakupova
Sensors 2021, 21(24), 8385; https://doi.org/10.3390/s21248385
Available online: https://www.mdpi.com/1424-8220/21/24/8385

10. “Nanomaterial-Integrated Cellulose Platforms for Optical Sensing of Trace Metals and Anionic Species in the Environment”
by Carlos Bendicho, Isela Lavilla, Francisco Pena-Pereira, Inmaculada de la Calle and Vanesa Romero
Sensors 2021, 21(2), 604; https://doi.org/10.3390/s21020604
Available online: https://www.mdpi.com/1424-8220/21/2/604

1. “Rapid SARS-CoV-2 Detection Using Electrochemical Immunosensor”
by Biljana Mojsoska, Sylvester Larsen, Dorte Aalund Olsen, Jonna Skov Madsen, Ivan Brandslund and Fatima AlZahra’a Alatraktchi
Sensors 2021, 21(2), 390; https://doi.org/10.3390/s21020390
Available online: https://www.mdpi.com/1424-8220/21/2/390

2. “Biosensors Based on Isothermal DNA Amplification for Bacterial Detection in Food Safety and Environmental Monitoring”
by Sandra Leonardo, Anna Toldrà and Mònica Campàs
Sensors 2021, 21(2), 602; https://doi.org/10.3390/s21020602
Available online: https://www.mdpi.com/1424-8220/21/2/602

3. “Reduced Graphene Oxide and Polyaniline Nanofibers Nanocomposite for the Development of an Amperometric Glucose Biosensor”
by Anton Popov, Ruta Aukstakojyte, Justina Gaidukevic, Viktorija Lisyte, Asta Kausaite-Minkstimiene, Jurgis Barkauskas and Almira Ramanaviciene
Sensors 2021, 21(3), 948; https://doi.org/10.3390/s21030948
Available online: https://www.mdpi.com/1424-8220/21/3/948

4. “Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics”
by Ilaria Buja, Erika Sabella, Anna Grazia Monteduro, Maria Serena Chiriacò, Luigi De Bellis, Andrea Luvisi and Giuseppe Maruccio
Sensors 2021, 21(6), 2129; https://doi.org/10.3390/s21062129
Available online: https://www.mdpi.com/1424-8220/21/6/2129

5. “Recent Advancements in Enzyme-Based Lateral Flow Immunoassays”
by Donato Calabria, Maria Maddalena Calabretta, Martina Zangheri, Elisa Marchegiani, Ilaria Trozzi, Massimo Guardigli, Elisa Michelini, Fabio Di Nardo, Laura Anfossi, Claudio Baggiani et al.
Sensors 2021, 21(10), 3358; https://doi.org/10.3390/s21103358
Available online: https://www.mdpi.com/1424-8220/21/10/3358

6. “Carbon Nanotube Field-Effect Transistor-Based Chemical and Biological Sensors”
by Xuesong Yao, Yalei Zhang, Wanlin Jin, Youfan Hu and Yue Cui
Sensors 2021, 21(3), 995; https://doi.org/10.3390/s21030995
Available online: https://www.mdpi.com/1424-8220/21/3/995

7. “Deep Eutectic Solvents (DESs) and Their Application in Biosensor Development”
by Rossella Svigelj, Nicolò Dossi, Cristian Grazioli and Rosanna Toniolo
Sensors 2021, 21(13), 4263; https://doi.org/10.3390/s21134263
Available online: https://www.mdpi.com/1424-8220/21/13/4263

8. “Genetically Encoded Biosensors Based on Fluorescent Proteins”
by Hyunbin Kim, Jeongmin Ju, Hae Nim Lee, Hyeyeon Chun and Jihye Seong
Sensors 2021, 21(3), 795; https://doi.org/10.3390/s21030795
Available online: https://www.mdpi.com/1424-8220/21/3/795

9. “Emergent Biosensing Technologies Based on Fluorescence Spectroscopy and Surface Plasmon Resonance”
by Alessandra Camarca, Antonio Varriale, Alessandro Capo, Angela Pennacchio, Alessia Calabrese, Cristina Giannattasio, Carlos Murillo Almuzara, Sabato D’Auria and Maria Staiano
Sensors 2021, 21(3), 906; https://doi.org/10.3390/s21030906
Available online: https://www.mdpi.com/1424-8220/21/3/906

10. “Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only”
by Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino and Andrea Facchinetti
Sensors 2021, 21(5), 1647; https://doi.org/10.3390/s21051647
Available online: https://www.mdpi.com/1424-8220/21/5/1647

On 9 February 2023, Clarivate, a global leader in providing trusted insights and analytics, added the Preprint Citation Index to the Web of Science platform, streamlining the research process by allowing researchers to locate and link to preprints alongside other trusted content in the database.

The Preprint Citation Index will act as a bridge to connect cutting-edge preprints with peer-reviewed journal articles published within the Web of Science Core Collection. Alerts can be easily set to monitor new research across several repositories and authors will also be able to include preprints on their Web of Science Research Profile to more accurately display their various research outputs.

As of its launch, the Preprint Citation Index will provide nearly two million preprints from various repositories, including MDPI’s own Preprints.org.

MDPI's Preprints Platform – Preprints.org

To advance Open Science and the fast dissemination of research, MDPI offers researchers a free multidisciplinary preprint platform. Preprints.org accepts submissions from all research areas and offers authors high visibility, permanent archiving, article-level Metrics and immediately citable content by assigning a Digital Object Identifier (DOI) to all preprints.

During submission to any MDPI journal, authors have the option to share their research as a preprint. After an initial screening, the manuscript is available online in 48 hours or less. Once online, preprints can be downloaded, shared, commented on, and cited, providing authors maximum visibility.

We invite you to join the ranks of the over 100k researchers using Preprints.org and share your research.

For more information, please visit Preprints.org.

Conference: IEEE International Conference on Robotics and Automation (ICRA 2023)

Date: 29 May–2 June 2023
Place: London, UK

Machines (ISSN: 2075-1702) will be attending ICRA 2023 as an exhibitor. This meeting will take place from 29 May to 2 June 2023 in London, UK.

The largest and most prestigious event of the year in the robotics and automation calendar, the 2023 IEEE International Conference on Robotics and Automation (ICRA) will bring together the world's top academics, researchers, and industry representatives. With the conference taking place in the UK for the first time, London will provide the perfect backdrop to this world-class event.

The following MDPI journals will be represented:

• Machines;
• Sensors;
• Actuators;
• Applied Sciences;
• Electronics;
• Robotics;
• Systems;
• JSAN;
• Technologies;
• Inventions;
• Designs;
• Drones;
• JMMP;
• Telecom;
• AI;
• Automation.

If you are planning to attend this conference, please do not hesitate to start an online conversation with us. Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about the conference, please visit the following website: https://www.icra2023.org/.

This Season's Greetings video is from the Section Editor-in-Chief of the “Nanosensors” Section, Dr. Edgar Muñoz, who is a professor at the Universitat Rovira i Virgili, Spain.

The "Nanosensors" Section was established in 2020; it publishes high-quality, original, peer-reviewed papers covering all aspects of nanosensors and microsensors, including the design of the structure and composition of sensing materials, improvement of existing micro-/nanosensors, exploration of new sensing concepts and techniques, and various applications of the micro-/nanosensors.

We welcome high-quality original research papers and reviews. The topics include, but are not limited to:

• Nanosensors and devices; microsensors and devices;
• Nanoprobes;
• Micro-/nanoscale photodetectors;
• Micro-/nanorobotic drug delivery;
• Sensing and detection in theranostics;
• Sensors based on nanomaterials;
• Sensors based on two-dimensional materials;
• Sensing mechanisms;
• Nanophotonics;
• Micro-/nano-chip; lab-on-a-chip sensor devices;
• MEMS; NEMS; bioMEMS/NEMS;
• Microfluidics and nanofluidics;
• Nano-optics and nanospectroscopy;
• Microplasma devices;
• Electronic skin;
• Flexible sensors;
• Strain sensors;
• Capacitive and pressure sensors;
• Nano energy.

Prof. Dr. Eduard Llobet

Editor-in-Chief of “Chemical Sensors” Section.

Prof. Dr. Elisabetta Comini

Section Associate Editor of “Chemical Sensors” Section.

This Season's Greetings video is from the Section Editor-in-Chief of the "Chemical Sensors" Section, Prof. Dr. Eduard Llobet, who is a professor at Universitat Rovira i Virgili, and Section Associate Editor Prof. Dr. Elisabetta Comini, who is from the University of Brescia. The "Chemical Sensors" Section was established in 2010. The Section publishes original peer-reviewed papers covering all aspects of chemical sensors. This includes new developments and recent improvements in the design, synthesis, and performance evaluation of materials for sensitive layers and transducers; the study of their sensing mechanisms; the evaluation, processing approaches, and applications of chemical sensors; and the driving electronics, data processing, and chemical sensor array chemometrics.

This Season's Greetings video is from the Section Editor-in-Chief of the "Sensor Materials" Section, Dr. Mikhael Bechelany, who is a professor at the University of Montpellier, France.

The "Sensor Materials" Section was established in 2018, and this Section covers all aspects related to the materials of sensors and their relevant fields. In particular, it considers sensors where the transduction of sensing is obtained by exploiting some specific property of the used materials, and/or where advanced, smart, engineered, special, tailored, or exotic materials are utilized for transduction. The Section will also include sensors and measurements systems applied to the characterization of specific material properties. The "Sensors Materials" Section will include sensors based on (without being limited to) the following classes of materials: semiconducting materials, ceramic materials, metallic materials, organic materials, piezoelectric materials, two-dimensional materials, nanomaterials, biomaterials and biologically derived materials, metal–organic frameworks, soft materials, metamaterials, and chromogenic materials.

This Season's Greetings video is from the Section Board Member of “Electronic Sensors” Section of Sensors (ISSN: 1424-8220), Prof. Dr. Pak Kwong Chan, from Nanyang Technological University, China.

The "Electronic Sensors" Section was established in 2019. This Section addresses the electronic components that are part of devices used to measure a physical quantity, such as temperature, humidity, pressure, light, distance, acceleration, loudness, or other physical quantities, and convert it into an electrical signal. Submitted papers should focus on the design of innovative electrical and electronic circuitry configurations for the development of sensor systems, including interfaces, chips, SoC implementations, etc. Novel approaches for smart sensors and advances in electronic transduction mechanisms, enabling enhancements in selectivity, sensitivity, signal-to-noise ratio, dynamic range, miniaturization, as well as the detection of novel measurands, fall within the scope of this Section.

Prof. Dr. Xianbin Wang

Editor-in-Chief of the “Communications” Section

Prof. Dr. Peter Han Joo Chong

Section Associate Editor of the “Communications” Section

This Season’s Greetings video is from the Section Editor-in-Chief of the “Communications” Section, Prof. Dr. Xianbin Wang, who is the professor at Western University, and the Section Associate Editor Prof. Dr. Peter Han Joo Chong, who is from the Auckland University of Technology. The “Communications” Section of Sensors (ISSN: 1424-8220) was established in 2020 and publishes original peer-reviewed papers covering all aspects of the communications field, including, but not limited to, the design, implementation, and theoretical analysis of wireless communication, optical communication, and satellite communication systems; signal processing techniques; networking, data analytics; system operation; and emerging communication technologies.

This Season’s Greetings video is from the Section Associate Editor of the “Sensor Networks” Section in Sensors (ISSN: 1424-8220), Prof. Dr. Yuh-Shyan Chen, who is from National Taipei University.

The “Sensor Networks” Section was established in 2011. This Section covers topics, original research, and peer-reviewed articles related to the latest research and development in the field of sensor networks. It is an interdisciplinary domain that consists of wireless and wired communications, algorithms, and protocols, as well as energy sources to supply these networks. The section covers theoretical and experimental problems, especially considering the rise of the Internet of Things (IoT) applications that allow several devices to connect intelligently.

This Season's Greetings video is from the Section Editor-in-Chief of the "Navigation and Positioning" Section, Prof. Dr. Chris Rizos, who is a professor at the University of New South Wales.

The "Navigation and Positioning" Section of Sensors (ISSN: 1424-8220) was established in 2021 and publishes peer-reviewed papers covering all aspects of navigation and positioning.

 Potential Topics in this Section include:

• Global navigation satellite systems (GNSS);
• Satellite-based augmentation systems (SBAS);
• Indoor localization systems (ILS);
• Geographic information systems (GIS);
• Industrial metrology and geodetic systems;
• Location-based services (LBS) and applications;
• Simultaneous localization and mapping (SLAM);
• Ultrasound positioning;
• Ultra-Wide-Band (UWB) positioning;
• Precise positioning;
• Navigation guidance;
• Inertial navigation;
• Indoor positioning, navigation, tracking methods;
• AoA-, TOF-, and TDOA-based localization;
• Signal Strength-Based Methods;
• Fingerprinting;
• Seamless positioning systems;
• Optical Positioning Systems;
• Indoor maps and 3D building models;
• Vehicle and personal location;
• Intelligent transportation;
• Path planning;
• Object tracking;
• Wireless positioning technologies;
• Navigation and visual scanning technologies;
• Applications of location awareness and context detection;
• Visual odometry;
• Pedestrian dead reckoning (PDR);
• Standards and interoperability;
• Human motion monitoring and modeling.

This Season's Greetings video is from the Editorial Board Member Dr. Felipe Jiménez, from Universidad Politécnica de Madrid.

The "Vehicular Sensing" Section of Sensors (ISSN: 1424-8220) was established in 2021 and publishes original peer-reviewed papers and surveys covering all aspects of sensing technologies in relation to vehicles. "Vehicular Sensing" publishes studies on the collection of data by on-board sensors and their subsequent dissemination to other vehicles through vehicle-to-everything (V2X) communication. Thus, numerous applications and technologies have been, and continue to be, developed, including vehicle sensor networks (VSNs), vehicular transportation, unmanned underwater vehicles (UUVs), intelligent vehicles, vehicular communications, and traffic monitoring, etc.

This Season's Greetings video is from the Editor-in-Chief of Sensors, Prof. Dr. Vittorio Passaro, who is a professor of Politecnico di Bari. I send my best wishes of a happy new year to all our readers and contributors. I am sure that our journal will have a further success next year.

He is also leading the “Optical Sensors” section.  This section was established in 2019 and it addresses all aspects of optical sensing, including source and detection technologies, sensing architectures, physical effects for sensing, sensor performance, sensor technology, readout techniques, lab-on-a-chip optical devices, processing approaches and applications, as well as actuation and control by light. These optical sensors and actuators include micro- and nano-optical devices, large devices, sensor arrays, integrated optical sensors, fiber-optic sensors, as well as several materials and technologies for a very large number of applications, including civil infrastructure, aerospace, biomedical, environmental monitoring, etc.

We are pleased to announce the launch of a new initiative—the MDPI Special Issue Mentor Program.

This program will enable early career researchers (who must hold a Ph.D. in a related field) to experience editing a Special Issue in MDPI journals, under the mentorship of our experienced Editorial Board Members or other experienced scientists. The mentor program will provide an excellent opportunity for early career scientists to gain editorial experience, and to cultivate their ability to edit scientific research.

The mentee’s responsibilities include:

• Proposing a Special Issue title and assisting the mentor in preparing a summary (around 200–400 words) and 3–10 keywords describing the background, importance, and goal of the Issue;
• Writing a brief promotion plan for the Special Issue;
• Preparing a list of scholars who may be interested in the Issue and personally e-mailing invitations on behalf of Guest Editors;
• Writing an editorial for the online Special Issue together with the mentor.

The mentor’s responsibilities include:

• Conducting a final check before the Special Issue is published online;
• Performing editorial control of the Special Issue and quality control of the publications, both of which must be carried out in a timely manner;
• Providing suggestions to younger scholars if they have any doubts or concerns regarding submissions;
• Organizing video calls with young scholars and the Editorial Office regularly to discuss problems and improvement suggestions for the Special Issue;
• Making and submitting decisions regarding submissions with the assistance of mentees.

Certificates and awards:
After the Special Issue closes, the Editorial Office will provide official certificates for all the mentors and early career researchers.

If you are interested in this opportunity, please send your Special Issue proposal to the Editorial Office of a journal you choose, and we will discuss the process (i.e., mentor collaboration, Special Issue topic feasibility analysis, etc.) in further detail. The full list of MDPI journals is as follows: https://www.mdpi.com/about/journals.

In addition to the new Special Issue Mentor Program, we will continue to welcome all Special Issue proposals focusing on hot research topics.

MDPI has just become the first open access (OA) publisher to reach the milestone of one million articles published. That is one million articles freely available to all, to circulate and build upon! We are proud to share this special moment with the global scientific community.

This landmark has been reached thanks to the immeasurable support of more than 600,000 expert reviewers, 66,000 editorial board members and 6700 hard-working colleagues across MDPI’s global offices.

Within more than 25 years of publishing, our journals received 2.1 million manuscripts and generated 4.6 million peer review reports to get to one million papers published.

Reaching the milestone of one million articles published reinforces our mission to remove any existing barriers and to make scientific research accessible to all. Since its inception, MDPI’s goal has been to create reliable processes to make science open. This is a path towards facilitating the dissemination of novel insights in scientific communities.

Regular feedback from authors and reviewers shows that our service is greatly appreciated and needed. At the same time, the feedback helps us identify areas for further improvement.

As it stands, a significant share of published research findings remain closed access. More than half of the content published with the most well-known legacy publishers stays behind a paywall, and that is not including articles published in hybrid OA journals, or made available months or years after publication.

A new policy announced by the US administration in August 2022 requires that, as of January 2026, all US federally funded research be made freely and immediately available after publication. While the new policy does not mandate articles be published under an open access license, it is aligned with the open access movement in removing all barriers to research. Similarly, some of the most advanced research institutions in the world intend to have all funded research articles published in open access by 2025.

MDPI is proud to be the leading agent of the transition to open access.

"Thanks a Million" to all the contributors!

We are pleased to announce that the website of the MDPI Sustainability Foundation has been revamped! For the past couple of months, our UX UI team and front-end developers have been working hard to launch the website in time for the opening of the Sustainability Awards nominations.

The website is not the only thing that has had a remodeling. Indeed, the format of the Emerging Sustainability Leader Award (ESLA) has been updated. ESLA is now a competition open to individual researchers or start-ups founded by researchers under the age of 35. Nominee applications will go through 2 rounds of selection until the final 3 are decided. The finalists will then be invited to give pitch presentations during the Award Ceremony to win either first place (10,000 USD) or runner-up (2 x 5000 USD).

The World Sustainability Award, on the other hand, remains the same: a total prize money of 100,000 USD is up for grabs by senior individual researchers or groups of researchers from the international research community.

Nominations for both the World Sustainability Award and the Emerging Sustainability Leader award are now open! Check out our new website for more information on how to nominate.

We are pleased to announce that Dr. Mikhael Bechelany has been appointed Section Editor-in-Chief of the “Sensor Materials” Section in Sensors (ISSN: 1424-8220).

Name: Dr. Mikhael Bechelany
Email: [email protected]
Affiliation: European Institute of Membranes (IEM), University of Montpellier, 34090 Montpellier, France
Homepage: http://www.iemm.univ-montp2.fr/spip.php?article140&lang=en&lang=fr
Research Keywords: atomic layer deposition; photocatalysis; electrospinning; nanomaterials; sensors; thin films

 


Dr. Mikhael Bechelany is a CNRS Research Director at the European Institute of Membranes (IEM), University of Montpellier. His current research interests include novel synthesis methods for metals and ceramics nanomaterials such as Atomic Layer Deposition (ALD), electrodeposition, electrospinning, 3D printing and/or nanostructuring using natural lithography (nanospheres and/or membranes). His research efforts include the design of nanostructured membranes for health, the environment and renewable energy. He is the author and co-author of more than 300 publications, 15 book chapters and 12 patents (h-index = 57).

The following is a short Q&A with Dr. Mikhael Bechelany, who shared his vision for the journal with us, as well as his views of the research area and Open Access publishing:

1. What appealed to you about the journal that made you want to take the role as Section Editor-in-Chief?
Sensors is a leading journal in the field. The journal is very highly ranked, with a great impact factor and large visibility. The journal also benefits from the high-quality service of MDPI, a pioneer in scholarly, open access publishing. As a result, I was honored to be invited to be the Editor-in-Chief.

2. What is your vision for the Section?
The “Sensor Materials” Section is becoming highly important, tackling the key role of materials in transduction. Our Section will underscore high-impact research and manuscripts in innovative sensor applications and technology from around the world, appealing to scientists, researchers and professionals interested in designing innovative materials for sensor applications.

3. What does the future of this field of research look like?
The main key trend in the sensors field is miniaturization. In order to tackle this issue, materials design is playing a central role in sensor systems. The growing fundamental and applied research in this area will allow our Section to publish high-quality and interdisciplinary research in different classes of materials for use in sensor applications such as semiconducting materials, ceramic materials, metallic materials, organic materials, piezoelectric materials, two-dimensional materials, nanomaterials, biomaterials and biological-derived materials, metal organic frameworks, soft materials, metamaterials and chromogenic materials.

4. What do you think of the development of Open Access in the publishing field?
The development of Open Access in the publishing field has been very important for the scientific community, as it allows research findings to be shared as rapidly, openly and effectively as possible. Open Access will allow the excellent works published by our Section to be freely available to researchers all over the world. This will increase the potential for more people to see and download our Section publications, accelerating and amplifying the impact of the published works.

We wish Dr. Mikhael Bechelany every success in his new position, and we look forward to his contributions to the journal.

1. “In-Ear SpO₂: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation”
by Harry J. Davies, Ian Williams, Nicholas S. Peters and Danilo P. Mandic
Sensors 2020, 20(17), 4879; https://doi.org/10.3390/s20174879
Available online: https://www.mdpi.com/1424-8220/20/17/4879

2. “Iterative Learning Control for a Soft Exoskeleton with Hip and Knee Joint Assistance”
by Chunjie Chen, Yu Zhang, Yanjie Li, Zhuo Wang, Yida Liu, Wujing Cao and Xinyu Wu
Sensors 2020, 20(15), 4333; https://doi.org/10.3390/s20154333
Available online: https://www.mdpi.com/1424-8220/20/15/4333

3. “The Potential Role of Sensors, Wearables and Telehealth in the Remote Management of Diabetes-Related Foot Disease”
by Jonathan Golledge, Malindu Fernando, Peter Lazzarini, Bijan Najafi and David G. Armstrong
Sensors 2020, 20(16), 4527; https://doi.org/10.3390/s20164527
Available online: https://www.mdpi.com/1424-8220/20/16/4527

4. “Feasibility of a Wearable Reflectometric System for Sensing Skin Hydration”
by Raissa Schiavoni, Giuseppina Monti, Emanuele Piuzzi, Luciano Tarricone, Annarita Tedesco, Egidio De Benedetto and Andrea Cataldo
Sensors 2020, 20(10), 2833; https://doi.org/10.3390/s20102833
Available online: https://www.mdpi.com/1424-8220/20/10/2833

5. “Wearable Flexible Strain Sensor Based on Three-Dimensional Wavy Laser-Induced Graphene and Silicone Rubber”
by Lixiong Huang, Han Wang, Peixuan Wu, Weimin Huang, Wei Gao, .Feiyu Fang, Nian Cai, Rouxi Chen and Ziming Zhu
Sensors 2020, 20(15), 4266; https://doi.org/10.3390/s20154266
Available online: https://www.mdpi.com/1424-8220/20/15/4266

6. “Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review”
by Dylan Kobsar, Zaryan Masood, Heba Khan, Noha Khalil, Marium Yossri Kiwan, Sarah Ridd and Matthew Tobis
Sensors 2020, 20(24), 7143; https://doi.org/10.3390/s20247143
Available online: https://www.mdpi.com/1424-8220/20/24/7143

7. “Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease”
by Andrea Marcante, Roberto Di Marco, Giovanni Gentile, Clelia Pellicano, Francesca Assogna, Francesco Ernesto Pontieri, Gianfranco Spalletta, Lucia Macchiusi, Dimitris Gatsios, Alexandros Giannakis et al.
Sensors 2021, 21(1), 128; https://doi.org/10.3390/s21010128
Available online: https://www.mdpi.com/1424-8220/21/1/128

8. “Compact and Low-Profile UWB Antenna Based on Graphene-Assembled Films for Wearable Applications”
by Ran Fang, Rongguo Song, Xin Zhao, Zhe Wang, Wei Qian and Daping He
Sensors 2020, 20(9), 2552; https://doi.org/10.3390/s20092552
Available online: https://www.mdpi.com/1424-8220/20/9/2552

9. “Toward Using Wearables to Remotely Monitor Cognitive Frailty in Community-Living Older Adults: An Observational Study”
by Javad Razjouyan, Bijan Najafi, Molly Horstman, Amir Sharafkhaneh, Mona Amirmazaheri, He Zhou, Mark E. Kunik and Aanand Naik
Sensors 2020, 20(8), 2218; https://doi.org/10.3390/s20082218
Available online: https://www.mdpi.com/1424-8220/20/8/2218

10. “Wearable Design Requirements Identification and Evaluation”
by Leire Francés-Morcillo, Paz Morer-Camo, María Isabel Rodríguez-Ferradas and Aitor Cazón-Martín
Sensors 2020, 20(9), 2599; https://doi.org/10.3390/s20092599
Available online: https://www.mdpi.com/1424-8220/20/9/2599

1. “Human Emotion Recognition: Review of Sensors and Methods”
by Andrius Dzedzickis, Artūras Kaklauskas and Vytautas Bucinskas
Sensors 2020, 20(3), 592, https://doi.org/10.3390/s20030592
Available online: https://www.mdpi.com/1424-8220/20/3/592

2. “3D Deep Learning on Medical Images: A Review”
by Satya P. Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan and Balázs Gulyás
Sensors 2020, 20(18), 5097, https://doi.org/10.3390/s20185097
Available online: https://www.mdpi.com/1424-8220/20/18/5097

3. “Wireless Power Transfer Techniques for Implantable Medical Devices: A Review”
by Sadeque Reza Khan, Sumanth Kumar Pavuluri, Gerard Cummins and Marc P. Y. Desmulliez
Sensors 2020, 20(12), 3487, https://doi.org/10.3390/s20123487
Available online: https://www.mdpi.com/1424-8220/20/12/3487

4. “The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise”
by Andrea Nicolò, Carlo Massaroni, Emiliano Schena and Massimo Sacchetti
Sensors 2020, 20(21), 6396, https://doi.org/10.3390/s20216396
Available online: https://www.mdpi.com/1424-8220/20/21/6396

5. “ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges”
by Mohamed Adel Serhani, Hadeel T. El Kassabi, Heba Ismail and Alramzana Nujum Navaz
Sensors 2020, 20(6), 1796, https://doi.org/10.3390/s20061796
Available online: https://www.mdpi.com/1424-8220/20/6/1796

6. “Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques”
by Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B. Mahbub, M. Monir Uddin, Amith Khandakar and Mamun Bin Ibne Reaz
Sensors 2020, 20(11), 3127, https://doi.org/10.3390/s20113127
Available online: https://www.mdpi.com/1424-8220/20/11/3127

7. “Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images”
by Ansh Mittal, Deepika Kumar, Mamta Mittal, Tanzila Saba, Ibrahim Abunadi, Amjad Rehman and Sudipta Roy
Sensors 2020, 20(4), 1068, https://doi.org/10.3390/s20041068
Available online: https://www.mdpi.com/1424-8220/20/4/1068

8. “End-To-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism”
by Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park and Cheolsoo Park
Sensors 2020, 20(8), 2338, https://doi.org/10.3390/s20082338
Available online: https://www.mdpi.com/1424-8220/20/8/2338

9. “Contactless Vital Signs Measurement System Using RGB-Thermal Image Sensors and Its Clinical Screening Test on Patients with Seasonal Influenza”
by Toshiaki Negishi, Shigeto Abe, Takemi Matsui, He Liu, Masaki Kurosawa, Tetsuo Kirimoto and Guanghao Sun
Sensors 2020, 20(8), 2171, https://doi.org/10.3390/s20082171
Available online: https://www.mdpi.com/1424-8220/20/8/2171

10. “Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens”
by Harsh Kumar, Kamil Kuča, Shashi Kant Bhatia, Kritika Saini, Ankur Kaushal, Rachna Verma Tek Chand Bhalla and Dinesh Kumar
Sensors 2020, 20(7), 1966, https://doi.org/10.3390/s20071966
Available online: https://www.mdpi.com/1424-8220/20/7/1966

1. "Graphitic Carbon Nitride: A Highly Electroactive Nanomaterial for Environmental and Clinical Sensing"
by Azeez O. Idris, Ekemena O. Oseghe, Titus A. M. Msagati, Alex T. Kuvarega, Usisipho Feleni and Bhekie Mamba
Sensors 2020, 20(20), 5743; https://doi.org/10.3390/s20205743
Available online: https://www.mdpi.com/1424-8220/20/20/5743

2. "Insulator Based Dielectrophoresis: Micro, Nano and Molecular Scale Biological Applications"
by Prateek Benhal, David Quashie, Yoontae Kim and Jamel Ali
Sensors 2020, 20(18), 5095; https://doi.org/10.3390/s20185095
Available online: https://www.mdpi.com/1424-8220/20/18/5095

3. "Development of Nanoporous AAO Membrane for Nano Filtration Using the Acoustophoresis Method"
by Yatinkumar Patel, Giedrius Janusas, Arvydas Palevicius and Andrius Vilkauskas
Sensors 2020, 20(14), 3833; https://doi.org/10.3390/s20143833
Available online: https://www.mdpi.com/1424-8220/20/14/3833

4. "A Comprehensive Review of Integrated Hall Effects in Macro-, Micro-, Nanoscales and Quantum Devices"
by Avi Karsenty
Sensors 2020, 20(15), 4163; https://doi.org/10.3390/s20154163
Available online: https://www.mdpi.com/1424-8220/20/15/4163

5. “Graphene and Perovskite-Based Nanocomposite for Both Electrochemical and Gas Sensor Applications: An Overview"
by Tse-Wei Chen, Rasu Ramachandran, Shen-Ming Chen, Ganesan Anushya and Kumarasamy Ramachandran
Sensors 2020, 20(23), 6755; https://doi.org/10.3390/s20236755
Available online: https://www.mdpi.com/1424-8220/20/23/6755

6. "Geometric Nonlinear Model for Prediction of Frequency–Temperature Behavior of SAW Devices for Nanosensor Applications"
by Zhenglin Chen, Qiaozhen Zhang, Congcong Li, Sulei Fu, Xiaojun Qiu, Xiaoyu Wang and Haodong Wu
Sensors 2020, 20(15), 4237; https://doi.org/10.3390/s20154237
Available online: https://www.mdpi.com/1424-8220/20/15/4237

7. "Non-Enzymatic Glucose Sensing Based on Incorporation of Carbon Nanotube into Zn-Co-S Ball-in-Ball Hollow Sphere"
by Han-Wei Chang, Chia-Wei Su, Jia-Hao Tian and Yu-Chen Tsai
Sensors 2020, 20(15), 4340; https://doi.org/10.3390/s20154340
Available online: https://www.mdpi.com/1424-8220/20/15/4340

8. "Fluorometric Detection of Thiamine Based on Hemoglobin–Cu₃(PO₄)₂ Nanoflowers (NFs) with Peroxidase Mimetic Activity"
by Hangjin Zou, Yang Zhang, Chuhan Zhang, Rongtian Sheng, Xinming Zhang and Yanfei Qi
Sensors 2020, 20(21), 6359; https://doi.org/10.3390/s20216359
Available online: https://www.mdpi.com/1424-8220/20/21/6359

9. "Features of Sizing and Enumeration of Silica and Polystyrene Nanoparticles by Nanoparticle Tracking Analysis (NTA)"
by Zohair Usfoor, Katharina Kaufmann, Al Shahriar Hossain Rakib, Roland Hergenröder and Victoria Shpacovitch
Sensors 2020, 20(22), 6611; https://doi.org/10.3390/s20226611
Available online: https://www.mdpi.com/1424-8220/20/22/6611

10. "Piezoelectric Current Generator Based on Bismuth Ferrite Nanoparticles"
by Farid Orudzhev, Shikhgasan Ramazanov, Dinara Sobola, Nariman Alikhanov, Vladimír Holcman, Lubomír Škvarenina, Pavel Kaspar and Gamzat Gadjilov
Sensors 2020, 20(23), 6736; https://doi.org/10.3390/s20236736
Available online: https://www.mdpi.com/1424-8220/20/23/6736

1. “Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19”
by Bosheng Qin and Dongxiao Li
Sensors 2020, 20(18), 5236; https://doi.org/10.3390/s20185236
Available online: https://www.mdpi.com/1424-8220/20/18/5236

2. “Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video”
by Manuel Martinez, Kailun Yang, Angela Constantinescu and Rainer Stiefelhagen
Sensors 2020, 20(18), 5202; https://doi.org/10.3390/s20185202
Available online: https://www.mdpi.com/1424-8220/20/18/5202

3. “Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network”
by Dengji Zhou, Guizhou Wang, Guojin He, Tengfei Long, Ranyu Yin, Zhaoming Zhang, Sibao Chen and Bin Luo
Sensors 2020, 20(24), 7241; https://doi.org/10.3390/s20247241
Available online: https://www.mdpi.com/1424-8220/20/24/7241

4. “Review of Microfluidic Devices and Imaging Techniques for Fluid Flow Study in Porous Geomaterials”
by Amir Jahanbakhsh, Krystian L. Wlodarczyk, Duncan P. Hand, Robert R. J. Maier and M. Mercedes Maroto-Valer
Sensors 2020, 20(14), 4030; https://doi.org/10.3390/s20144030
Available online: https://www.mdpi.com/1424-8220/20/14/4030

5. “Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials”
by Xiaoxin Fang, Qiwu Luo, Bingxing Zhou, Congcong Li and Lu Tian
Sensors 2020, 20(18), 5136; https://doi.org/10.3390/s20185136
Available online: https://www.mdpi.com/1424-8220/20/18/5136

6. “The Use of Low-Cost Unmanned Aerial Vehicles in the Process of Building Models for Cultural Tourism, 3D Web and Augmented/Mixed Reality Applications”
by Tomasz Templin and Dariusz Popielarczyk
Sensors 2020, 20(19), 5457; https://doi.org/10.3390/s20195457
Available online: https://www.mdpi.com/1424-8220/20/19/5457

7. “Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method”
by Mohammad Akbar Faqeerzada, Santosh Lohumi, Geonwoo Kim, Rahul Joshi, Hoonsoo Lee, Moon Sung Kim and Byoung-Kwan Cho
Sensors 2020, 20(20), 5855; https://doi.org/10.3390/s20205855
Available online: https://www.mdpi.com/1424-8220/20/20/5855

8. “Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach”
by Francesca Manni, Fons van der Sommen, Himar Fabelo, Svitlana Zinger, Caifeng Shan, Erik Edström, Adrian Elmi-Terander, Samuel Ortega, Gustavo Marrero Callicó and Peter H. N. de With
Sensors 2020, 20(23), 6955; https://doi.org/10.3390/s20236955
Available online: https://www.mdpi.com/1424-8220/20/23/6955

9. “Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System”
by Yuping Huang, Yutu Yang, Ye Sun, Haiyan Zhou and Kunjie Chen
Sensors 2020, 20(18), 5120; https://doi.org/10.3390/s20185120
Available online: https://www.mdpi.com/1424-8220/20/18/5120

10. “Robust RGB-D SLAM Using Point and Line Features for Low Textured Scene”
by Yajing Zou, Amr Eldemiry, Yaxin Li and Wu Chen
Sensors 2020, 20(17), 4984; https://doi.org/10.3390/s20174984
Available online: https://www.mdpi.com/1424-8220/20/17/4984

1. “Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture”
by Dan Popescu, Florin Stoican, Grigore Stamatescu, Loretta Ichim and Cristian Dragana
Sensors 2020, 20(3), 817; https://doi.org/10.3390/s20030817
Available online: https://www.mdpi.com/1424-8220/20/3/817

2. “Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review”
by Jamil Fayyad, Mohammad A. Jaradat, Dominique Gruyer and Homayoun Najjaran
Sensors 2020, 20(15), 4220; https://doi.org/10.3390/s20154220
Available online: https://www.mdpi.com/1424-8220/20/15/4220

3. “IoT Wearable Sensors and Devices in Elderly Care: A Literature Review”
by Thanos G. Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos and Ioannis Kompatsiaris
Sensors 2020, 20(10), 2826; https://doi.org/10.3390/s20102826
Available online: https://www.mdpi.com/1424-8220/20/10/2826

4. “Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition”
by Yucel Cimtay and Erhan Ekmekcioglu
Sensors 2020, 20(7), 2034; https://doi.org/10.3390/s20072034
Available online: https://www.mdpi.com/1424-8220/20/7/2034

5. “LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture”
by Gaia Codeluppi, Antonio Cilfone, Luca Davoli and Gianluigi Ferrari
Sensors 2020, 20(7), 2028; https://doi.org/10.3390/s20072028
Available online: https://www.mdpi.com/1424-8220/20/7/2028

6. “Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals”
by Lin Chen, Jianting Fu, Yuheng Wu, Haochen Li and Bin Zheng
Sensors 2020, 20(3), 672; https://doi.org/10.3390/s20030672
Available online: https://www.mdpi.com/1424-8220/20/3/672

7. “An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare”
by William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi and Muhammad Ali Imran
Sensors 2020, 20(9), 2653; https://doi.org/10.3390/s20092653
Available online: https://www.mdpi.com/1424-8220/20/9/2653

8. “UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture”
by Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, and Paolo Gay
Sensors 2020, 20(9), 2530; https://doi.org/10.3390/s20092530
Available online: https://www.mdpi.com/1424-8220/20/9/2530

9. “Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review”
by Abdul Ahad, Mohammad Tahir, Muhammad Aman Sheikh, Kazi Istiaque Ahmed, Amna Mughees and Abdullah Numani
Sensors 2020, 20(14), 4047; https://doi.org/10.3390/s20144047
Available online: https://www.mdpi.com/1424-8220/20/14/4047

10. “EEG-Based BCI Emotion Recognition: A Survey”
by Edgar P. Torres, Edgar A. Torres, Myriam Hernández-Álvarez and Sang Guun Yoo
Sensors 2020, 20(5), 1271; https://doi.org/10.3390/s20051271
Available online: https://www.mdpi.com/1424-8220/20/18/5083

Recently, Clarivate^TM revealed its 2022 list of Highly Cited Researchers^TM—individuals at universities, research institutes and commercial organizations.

The scientists who were selected into this year’s list of Highly Cited Researchers have published highly cited papers in the 11-year period from January 2011 to December 2021, with citation frequency in the top 1% of academic subjects and the same year of publication in the Web of Science^TM database. Based on Web of Science Citation data, 6,938 researchers from across the globe who have demonstrated a disproportionate level of significant and broad influence in their chosen field or fields over the last decade have been awarded Highly Cited Researcher 2022 designations. The list is truly global, spanning 69 countries or regions and spread across a diverse range of research sciences and social sciences.

According to statistics, 15 members of the Editorial Board of Sensors (ISSN: 1424-8220) have been selected into the list of Highly Cited Researchers of Clarivate in 2022. They are being recognized for their high-quality scientific research achievements and outstanding contributions to professional fields. Sensors journal office sincerely congratulates all elected Editorial Board Members and hopes that they continue to have an academically productive relationship with the journal.

1. “Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting”
by Hanwen Kang, Hongyu Zhou, Xing Wang and Chao Chen
Sensors 2020, 20(19), 5670; https://doi.org/10.3390/s20195670
Avalable online: https://www.mdpi.com/1424-8220/20/19/5670

2. “Path Planning for Multi-Arm Manipulators Using Deep Reinforcement Learning: Soft Actor–Critic with Hindsight Experience Replay”
by Evan Prianto, Myeong Seop Kim, Jae-Han Park, Ji-Hun Bae and Jung-Su Kim
Sensors 2020, 20(20), 5911; https://doi.org/10.3390/s20205911
Avalable online: https://www.mdpi.com/1424-8220/20/20/5911

3. “Feature Sensing and Robotic Grasping of Objects with Uncertain Information: A Review”
by Chao Wang, Xuehe Zhang,Yubin Liu, Guanwen Ding, Wenxin Yin and Jie Zhao
Sensors 2020, 20(13), 3707; https://doi.org/10.3390/s20133707
Avalable online: https://www.mdpi.com/1424-8220/20/13/3707

4. “Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul”
by John Oyekan, Michael Farnsworth, Windo Hutabarat, David Miller and Ashutosh Tiwari
Sensors 2020, 20(16), 4637; https://doi.org/10.3390/s20164637
Avalable online: https://www.mdpi.com/1424-8220/20/16/4637

5. “Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm”
by Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li and Chuanqi Wang
Sensors 2020, 20(20), 5873; https://doi.org/10.3390/s20205873
Avalable online: https://www.mdpi.com/1424-8220/20/20/5873

6. “A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation”
by Fatemeh Mohammadi Amin, Maryam Rezayati, Hans Wernher van de Venn and Hossein Karimpour
Sensors 2020, 20(21), 6347; https://doi.org/10.3390/s20216347
Avalable online: https://www.mdpi.com/1424-8220/20/21/6347

7. “Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers”
by Luis V. Calderita, Araceli Vega, Sergio Barroso-Ramírez, Pablo Bustos and Pedro Núñez
Sensor 2020, 20(14), 4005; https://doi.org/10.3390/s20144005
Available online: https://www.mdpi.com/1424-8220/20/14/4005

8. “Absolute Positioning Accuracy Improvement in an Industrial Robot”
by Yizhou Jiang, Liandong Yu, Huakun Jia, Huining Zhao and Haojie Xia
Sensors 2020, 20(16), 4354; https://doi.org/10.3390/s20164354
Available online: https://www.mdpi.com/1424-8220/20/16/4354

9. “Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning”
by Guangda Chen, Shunyi Yao, Jun Ma, Lifan Pan, Yu’an Chen, Pei Xu, Jianmin Ji and Xiaoping Chen
Sensors 2020, 20(17), 4836; https://doi.org/10.3390/s20174836
Available online: https://www.mdpi.com/1424-8220/20/17/4836

10. “Robotic Localization Based on Planar Cable Robot and Hall Sensor Array Applied to Magnetic Capsule Endoscope”
by Min-Cheol Kim, Eui-Sun Kim, Jong-Oh Park, Eunpyo Choi and Chang-Sei Kim
Sensors 2020, 20(20), 5728; https://doi.org/10.3390/s20205728
Available online: https://www.mdpi.com/1424-8220/20/20/5728

1. “A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping”
by César Debeunne and Damien Vivet
Sensors 2020, 20(7), 2068; https://doi.org/10.3390/s20072068
Available online: https://www.mdpi.com/1424-8220/20/7/2068

2. “Machine Learning on Mainstream Microcontrollers”
by Fouad Sakr, Francesco Bellotti, Riccardo Berta and Alessandro De Gloria
Sensors 2020, 20(9), 2638; https://doi.org/10.3390/s20092638
Available online: https://www.mdpi.com/1424-8220/20/9/2638

3. “Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview”
by Balkis Aouadi, John-Lewis Zinia Zaukuu, Flora Vitális, Zsanett Bodor, Orsolya Fehér, Zoltan Gillay, George Bazar and Zoltan Kovacs
Sensors 2020, 20(19), 5479; https://doi.org/10.3390/s20195479
Available online: https://www.mdpi.com/1424-8220/20/19/5479

4. “Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics”
by Xiangzheng Yang, Jiahui Chen, Lianwen Jia, Wangqing Yu, Da Wang, Wenwen Wei, Shaojia Li, Shiyi Tian and Di Wu
Sensors 2020, 20(7), 1866; https://doi.org/10.3390/s20071866
Available online: https://www.mdpi.com/1424-8220/20/7/1866

5. “Innovation Strategy Selection Facilitates High-Performance Flexible Piezoelectric Sensors”
by Shengshun Duan, Jun Wu, Jun Xia and Wei Lei
Sensors 2020, 20(10), 2820; https://doi.org/10.3390/s20102820
Available online: https://www.mdpi.com/1424-8220/20/10/2820

6. “YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems”
by Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim and Seongwook Lee
Sensors 2020, 20(10), 2897; https://doi.org/10.3390/s20102897
Available online: https://www.mdpi.com/1424-8220/20/10/2897

7. “Development and Application of Resistance Strain Force Sensors”
by Yinming Zhao, Yang Liu, Yongqian Li and Qun Hao
Sensors 2020, 20(20), 5826; https://doi.org/10.3390/s20205826
Available online: https://www.mdpi.com/1424-8220/20/20/5826

8. “Miniaturized 0.13-μm CMOS Front-End Analog for AlN PMUT Arrays”
by Iván Zamora, Eyglis Ledesma, Arantxa Uranga and Núria Barniol
Sensors 2020, 20(4), 1205; https://doi.org/10.3390/s20041205
Available online: https://www.mdpi.com/1424-8220/20/4/1205

9. “Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques”
by Fanglin Mu, Yu Gu, Jie Zhang and Lei Zhang
Sensors 2020, 20(15), 4238; https://doi.org/10.3390/s20154238
Available online: https://www.mdpi.com/1424-8220/20/15/4238

10. “Development of Soft sEMG Sensing Structures Using 3D-Printing Technologies”
by Gerjan Wolterink, Pedro Dias, Remco G. P. Sanders, Frodo Muijzer, Bert-Jan van Beijnum, Peter Veltink and Gijs Krijnen
Sensors 2020, 20(15), 4292; https://doi.org/10.3390/s20154292
Available online: https://www.mdpi.com/1424-8220/20/15/4292

1. “A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks”
by Hugo Landaluce, Laura Arjona, Asier Perallos, Francisco Falcone, Ignacio Angulo, lorian Muralter and Florian Muralter
Sensors 2020, 20(9), 2495; https://doi.org/10.3390/s20092495
Available online: https://www.mdpi.com/1424-8220/20/9/2495

2. ‘’ A Systematic Review of IoT Solutions for Smart Farming”
by António Pereira, Emerson Navarro and Nuno Costa
Sensors 2020, 20(15), 4231; https://doi.org/10.3390/s20154231
Available online: https://www.mdpi.com/1424-8220/20/15/4231

3. “Federated Learning in Smart City Sensing: Challenges and Opportunities”
by Chu Jiang, Burak Kantarci, Sema Oktug and Tolga Soyata
Sensors 2020, 20(21), 6230; https://doi.org/10.3390/s20216230
Available online: https://www.mdpi.com/1424-8220/20/21/6230

4. “Blockchain-based Reputation for Intelligent Transportation Systems”
by Liviu-Adrian Hîrţan, Ciprian Dobre and Horacio González-Vélez
Sensors 2020, 20(3), 791; https://doi.org/10.3390/s20030791
Available online: https://www.mdpi.com/1424-8220/20/3/791

5. “Towards a Secure Thermal-Energy Aware Routing Protocol in Wireless Body Area Network Based on Blockchain Technology”
by Zeinab Shahbazi and Yung-Cheol Byun
Sensors 2020, 20(12), 3604; https://doi.org/10.3390/s20123604
Available online: https://www.mdpi.com/1424-8220/20/12/3604

6. “A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues”
by A. S. M. Kayes, Rudri Kalaria, Iqbal H. Sarker, Md. Saiful Islam, Paul A. Watters, Alex Ng, Mohammad Hammoudeh, Shahriar Badsha and Indika Kumara
Sensors 2020, 20(9), 2464; https://doi.org/10.3390/s20092464
Available online: https://www.mdpi.com/1424-8220/20/9/2464

7. “Detection and Classification of Multirotor Drones in Radar Sensor Networks: A Review”
by Angelo Coluccia, Gianluca Parisi and Alessio Fascista
Sensors 2020, 20(15), 4172; https://doi.org/10.3390/s20154172
Available online: https://www.mdpi.com/1424-8220/20/15/4172

8. “Enhancing the Sensor Node Localization Algorithm Based on Improved DV-Hop and DE Algorithms in Wireless Sensor Networks”
by Dezhi Han, Yunping Yu, Kuan-Ching Li and Rodrigo Fernandes de Mello
Sensors 2020, 20(2), 343; https://doi.org/10.3390/s20020343
Available online: https://www.mdpi.com/1424-8220/20/2/343

9. “A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks”
by Omar A. Saraereh, Amer Alsaraira, Imran Khan and Bong Jun Choi
Sensors 2020, 20(12), 3458; https://doi.org/10.3390/s20020407
Available online: https://www.mdpi.com/1424-8220/20/2/407

10. “Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios”
by Markus Bullmann, Toni Fetzer, Frank Ebner, Markus Ebner, Frank Deinzer and Marcin Grzegorzek
Sensors 2020, 20(16), 4515; https://doi.org/10.3390/s20164515
Available online: https://www.mdpi.com/1424-8220/20/16/4515

1. “Microwave Differential Frequency Splitting Sensor Using Magnetic-LC Resonators”
by Amir Ebrahimi, Grzegorz Beziuk, James Scott and Kamran Ghorbani
Sensors 2020, 20(4), 1066; https://doi.org/10.3390/s20041066
Available online: https://www.mdpi.com/1424-8220/20/4/1066

2. “Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors”
by Luis Sigcha, Nélson Costa, Ignacio Pavón, Susana Costa, Pedro Arezes, Juan Manuel López and Guillermo De Arcas
Sensors 2020, 20(7), 1895; https://doi.org/10.3390/s20071895   
Available online: https://www.mdpi.com/1424-8220/20/7/1895

3. “Photoacoustic-Based Gas Sensing: A Review”
by Stefan Palzer
Sensors 2020, 20(9), 2745; https://doi.org/10.3390/s20092745  
Available online: https://www.mdpi.com/1424-8220/20/9/2745

4. “Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities”
by Viviana Mulloni and Massimo Donelli
Sensors 2020, 20(7), 2135; https://doi.org/10.3390/s20072135  
Available online: https://www.mdpi.com/1424-8220/20/7/2135

5. “A Review of Thin-Film Magnetoelastic Materials for Magnetoelectric Applications”
by Xianfeng Liang, Cunzheng Dong, Huaihao Chen, Jiawei Wang, Yuyi Wei, Mohsen Zaeimbashi, Yifan He, Alexei Matyushov, Changxing Sun and Nianxiang Sun
Sensors 2020, 20(5), 1532; https://doi.org/10.3390/s20051532  
Available online: https://www.mdpi.com/1424-8220/20/5/1532

6. “Insights in the Application of Stoichiometric and Non-Stoichiometric Titanium Oxides for the Design of Sensors for the Determination of Gases and VOCs (TiO_2−x and Ti_nO_2n−1 vs. TiO₂)”
by Simonas Ramanavicius and Arunas Ramanavicius
Sensors 2020, 20(23), 6833; https://doi.org/10.3390/s20236833
Available online: https://www.mdpi.com/1424-8220/20/23/6833

7. “A Prototype Microwave System for 3D Brain Stroke Imaging”
by Jorge A. Tobon Vasquez, Rosa Scapaticci, Giovanna Turvani, Gennaro Bellizzi, David O. Rodriguez-Duarte, Nadine Joachimowicz, Bernard Duchêne, Enrico Tedeschi, Mario R. Casu, Lorenzo Crocco and Francesca Vipiana
Sensors 2020, 20(9), 2607; https://doi.org/10.3390/s20092607  
Available online: https://www.mdpi.com/1424-8220/20/9/2607

8. “Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review”
by Ive Weygers, Manon Kok, Marco Konings, Hans Hallez, Henri De Vroey and Kurt Claeys
Sensors 2020, 20(3), 673; https://doi.org/10.3390/s20030673
Available online: https://www.mdpi.com/1424-8220/20/3/673

9. “Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures”
by Christoph Kralovec and Martin Schagerl
Sensors 2020, 20(3), 826; https://doi.org/10.3390/s20030826  
Available online: https://www.mdpi.com/1424-8220/20/3/826

10. “Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring by Comparing Measurement Sites”
by Hsuan-Yu Chen, Andrew Chen and Chiachung Chen
Sensors 2020, 20(10), 2885; https://doi.org/10.3390/s20102885  
Available online: https://www.mdpi.com/1424-8220/20/10/2885

Stanford University has recently published an update of their World’s Top 2% Scientists List, which ranks the most widely cited researchers across the globe. The time node of the statistical data of this list is from 1960 to 2022, and it is divided into two lists: "Lifetime Scientific Influence Ranking" and "2022 Annual Scientific Influence Ranking". The "Lifetime Scientific Influence Ranking" counts the comprehensive influence performance of scientists during their careers, and the "2022 Annual Influence Ranking" focuses on highlighting the academic influence of scientists in the previous year. This ranking, considered the most prestigious worldwide, is based on the bibliometric information contained in the Scopus database and includes more than 200,000 researchers from the more than 10 million scientists considered to be active worldwide, with 22 scientific fields and 176 subfields taken into account.

We are pleased to share that 587 Editorial Board Members from MDPI’s journal Sensors (ISSN: 1424-8220) were featured in Stanford’s List of the World’s Top 2% Scientists in 2022.

The latest Stanford rankings reflect the significant influence and research excellence of these scientists, whom are all committed to furthering their knowledge for the benefit of the world.

We would like to congratulate our Editorial Board Members on their excellent achievement and thank them for their immense contribution to the scientific progression and development of Sensors.

Conference: The 13th China Satellite Navigation Conference
Date: 16–18 November 2022
Place: Beijing, China

Sensors (ISSN: 1424-8220) will be attending the 13th China Satellite Navigation Conference as an exhibitor. This meeting will take place from 16 to 18 November in Beijing, China.

The China Satellite Navigation Conference (CSNC) is an open academic exchange platform. It aims to strengthen academic innovation and promote the cooperation and exchange of satellite navigation systems, strengthen technological innovation and promote the engineering construction of satellite navigation systems, strengthen theoretical innovation and promote the progress of satellite navigation theories, and strengthen application innovation and promote the scientific development of satellite navigation industry. The conference has been successfully held for 12 years and has produced a large number of excellent results in academic, technical, theoretical, application, and talent aspects.

The following MDPI journals will be represented:

• Sensors;
• Remote Sensing;
• Atmosphere;
• Aerospace;
• Technologies;
• Drones;
• Signals;
• Smart Cities;
• AI;
• Geomatics.

If you are planning to attend this conference, please do not hesitate to start an online conversation with us (booth #B18). Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about the conference and virtual booth, please visit the following website: https://www.beidou.org/annualmeeting.html.

1. “Ultra-Wideband Diversity MIMO Antenna System for Future Mobile Handsets”
by Naser Ojaroudi Parchin et al.
Sensors 2020, 20(8), 2371; https://doi.org/10.3390/s20082371
Available online: https://www.mdpi.com/1424-8220/20/8/2371

2. “Dual Circularly Polarized Planar Four-Port MIMO Antenna with Wide Axial-Ratio Bandwidth”
by Sachin Kumar et al.
Sensors 2020, 20(19), 5610; https://doi.org/10.3390/s20195610
Available online: https://www.mdpi.com/1424-8220/20/19/5610

3. “A Modular Experimentation Methodology for 5G Deployments: The 5GENESIS Approach”
by Almudena Díaz Zayas et al.
Sensors 2020, 20(22), 6652; https://doi.org/10.3390/s20226652
Available online: https://www.mdpi.com/1424-8220/20/22/6652

4. “Time-Interleaved SAR ADC with Background Timing-Skew Calibration for UWB Wireless Communication in IoT Systems”
by Kiho Seong et al.
Sensors 2020, 20(8), 2430; https://doi.org/10.3390/s20082430
Available online: https://www.mdpi.com/1424-8220/20/8/2430

5. “Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems”
by Alexandru Martian et al.
Sensors 2020, 20(13), 3614; https://doi.org/10.3390/s20133614
Available online: https://www.mdpi.com/1424-8220/20/13/3614

6. “Performance Analysis of Cooperative and Non-Cooperative Relaying over VLC Channels”
by Waled Gheth et al.
Sensors 2020, 20(13), 3660; https://doi.org/10.3390/s20133660
Available online: https://www.mdpi.com/1424-8220/20/13/3660

7. “Dynamic RFID Identification in Urban Traffic Management Systems”
by Bartosz Pawłowicz et al.
Sensors 2020, 20(15), 4225; https://doi.org/10.3390/s20154225
Available online: https://www.mdpi.com/1424-8220/20/15/4225

8. “Full-Duplex Relay for Millimeter Wave Vehicular Platoon Communications”
by Jong-Ho Lee et al.
Sensors 2020, 20(21), 6072; https://doi.org/10.3390/s20216072
Available online: https://www.mdpi.com/1424-8220/20/21/6072

9. “An Energy-Efficient Unselfish Spectrum Leasing Scheme for Cognitive Radio Networks”
by Denis Bilibashi et al.
Sensors 2020, 20(21), 6161; https://doi.org/10.3390/s20216161
Available online: https://www.mdpi.com/1424-8220/20/21/6161

10. “On the Application of K-User MIMO for 6G Enhanced Mobile Broadband”
by Anil Kumar Yerrapragada et al.
Sensors 2020, 20(21), 6252; https://doi.org/10.3390/s20216252
Available online: https://www.mdpi.com/1424-8220/20/21/6252

1. “Concrete Crack Monitoring Using a Novel Strain Transfer Model for Distributed Fiber Optics Sensors”
by Antoine Bassil et al.
Sensors 2020, 20(8), 2220; https://doi.org/10.3390/s20082220
Available online: https://www.mdpi.com/1424-8220/20/8/2220

2. ‘’Antiresonant Hollow-Core Fiber-Based Dual Gas Sensor for Detection of Methane and Carbon Dioxide in the Near- and Mid-Infrared Regions”
by Piotr Jaworski et al.
Sensors 2020, 20(14), 3813; https://doi.org/10.3390/s20143813
Available online: https://www.mdpi.com/1424-8220/20/14/3813

3. “SPR Biosensor Based on Polymer Multi-Mode Optical Waveguide and Nanoparticle Signal Enhancement”
by Johanna-Gabriela Walter et al.
Sensors 2020, 20(10), 2889; https://doi.org/10.3390/s20102889
Available online: https://www.mdpi.com/1424-8220/20/10/2889

4. “Strain Transfer in Surface-Bonded Optical Fiber Sensors”
by Francesco Falcetelli et al.
Sensors 2020, 20(11), 3100; https://doi.org/10.3390/s20113100
Available online: https://www.mdpi.com/1424-8220/20/11/3100

5. “Subwavelength Grating Double Slot Waveguide Racetrack Ring Resonator for Refractive Index Sensing Application”
by Nikolay Lvovich Kazanskiy et al.
Sensors 2020, 20(12), 3416; https://doi.org/10.3390/s20123416
Available online: https://www.mdpi.com/1424-8220/20/12/3416

6. “Wavefront Aberration Sensor Based on a Multichannel Diffractive Optical Element”
by Svetlana N. Khonina et al.
Sensors 2020, 20(14), 3850; https://doi.org/10.3390/s20143850
Available online: https://www.mdpi.com/1424-8220/20/14/3850

7. “Lab-On-Fiber Technology: A Roadmap toward Multifunctional Plug and Play Platforms”
by Marco Piscoet al.
Sensors 2020, 20(17), 4705; https://doi.org/10.3390/s20174705
Available online: https://www.mdpi.com/1424-8220/20/17/4705

8. “InAsSb-Based Infrared Photodetectors: Thirty Years Later On”
by Antoni Rogalski et al.
Sensors 2020, 20(24), 7047; https://doi.org/10.3390/s20247047
Available online: https://www.mdpi.com/1424-8220/20/24/7047

9. “Evaluation of Two Low-Cost Optical Particle Counters for the Measurement of Ambient Aerosol Scattering Coefficient and Ångström Exponent”
by Krzysztof M. Markowicz et al.
Sensors 2020, 20(9), 2617; https://doi.org/10.3390/s20092617
Available online: https://www.mdpi.com/1424-8220/20/9/2617

10. “Silicone Rubber Based Highly Sensitive Fiber-Optic Fabry–Perot Interferometric Gas Pressure Sensor”
by Xin Cheng et al.
Sensors 2020, 20(17), 4927; https://doi.org/10.3390/s20174927
Available online: https://www.mdpi.com/1424-8220/20/17/4927

1. “Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers”
by Rafia Nishat Toma et al.
Sensors 2020, 20(7), 1884; https://doi.org/10.3390/s20071884
Available online: https://www.mdpi.com/1424-8220/20/7/1884

2. “A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults”
by Alex Shenfield et al.
Sensors 2020, 20(18), 5112; https://doi.org/10.3390/s20185112
Available online: https://www.mdpi.com/1424-8220/20/18/5112

3. ‘’Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input”
by Davor Kolar et al.
Sensors 2020, 20(14), 4017; https://doi.org/10.3390/s20144017
Available online: https://www.mdpi.com/1424-8220/20/14/4017

4. “Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems”
by Gerhard P. Hancke et al.
Sensors 2020, 20(23), 6886; https://doi.org/10.3390/s20236886
Available online: https://www.mdpi.com/1424-8220/20/23/6886

5. “Process Parameters for FFF 3D-Printed Conductors for Applications in Sensors”
by Tibor Barši Palmić et al.
Sensors 2020, 20(16), 4542; https://doi.org/10.3390/s20164542
Available online: https://www.mdpi.com/1424-8220/20/16/4542

6. “Image-Processing-Based Low-Cost Fault Detection Solution for End-of-Line ECUs in Automotive Manufacturing”
by Adrian Korodi et al.
Sensors 2020, 20(12), 3520; https://doi.org/10.3390/s20123520
Available online: https://www.mdpi.com/1424-8220/20/12/3520

7. “Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes”
by Len Gelman et al.
Sensors 2020, 20(18), 5131; https://doi.org/10.3390/s20185131
Available online: https://www.mdpi.com/1424-8220/20/18/5131

8. “Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network”
by Ming-Chang Lin et al.
Sensors 2020, 20(21), 6169; https://doi.org/10.3390/s20216169
Available online: https://www.mdpi.com/1424-8220/20/21/6169

9. “Railway Point-Operating Machine Fault Detection Using Unlabeled Signaling Sensor Data”
by Pritesh Mistry et al.
Sensors 2020, 20(9), 2692; https://doi.org/10.3390/s20092692
Available online: https://www.mdpi.com/1424-8220/20/9/2692

10. “Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions”
by Ruben Puche-Panadero et al.
Sensors 2020, 20(21), 3398; https://doi.org/10.3390/s20123398
Available online: https://www.mdpi.com/1424-8220/20/12/3398

Peer Review Week began 19 September 2022 under the theme of “Research Integrity: Creating and Supporting Trust in Research”. Through various blog articles, podcast, and webinar, we discussed this crucial subject throughout the week, celebrating the essential role peer review plays in maintaining research quality.

To begin, we held a Webinar on the topic. Professor Peter W. Choate and Dr. Emmanuel Obeng-Gyasi joined Dr. Ioana Craciun, one of MDPI’s scientific officers, for an in-depth discussion.

We invite you to view the event recording:

During the week, the MDPI Blog in a series articles highlighted how good Peer Review safeguards research integrity. The following topics were covered:

• Peer Review Week 2022
• Research Integrity
• What We’ve Learned About Peer Review Reports
• 4 Steps to the Perfect Peer Review Report
• How to Write the Perfect Peer Review Report: An Interview
• Inviting Great Peer Reviewers

In a new edition of Insight Faster, an MDPI podcast, we were delighted to talk to the co-chairs of the Peer Review Week committee, Jayashree Rajagopalan (Senior Manager of Global Community Engagement for CACTUS) and Danielle Padula (Head of Marketing and Community Development at Scholastica) to get their take on this year’s event and its related topics.

You can find the Podcast here.

We hope you enjoy the contents!

1. “How Reliable Is the Electrochemical Readout of MIP Sensors?”
by Yarman, A. et al.
Sensors 2020, 20(9), 2677; https://doi.org/10.3390/s20092677
Available online: https://www.mdpi.com/1424-8220/20/9/2677

2. “Reduced Graphene Oxide (rGO)-Loaded Metal-Oxide Nanofiber Gas Sensors: An Overview”
by Majhi S.M. et al.
Sensors 2021, 21(4), 1352; https://doi.org/10.3390/s21041352
Available online: https://www.mdpi.com/1424-8220/21/4/1352

3. “Advances in ZnO-Based Carbon Monoxide Sensors: Role of Doping”
by Pineda-Reyes, A. M. et al.
Sensors 2021, 21(13), 4425; https://doi.org/10.3390/s21134425   
Available online: https://www.mdpi.com/1424-8220/21/13/4425

4.“Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements”
by Arroyo, P. et al.
Sensors 2020, 20(3), 786; https://doi.org/10.3390/s20030786  
Available online: https://www.mdpi.com/1424-8220/20/3/786

5. “Application of Ag/AgCl Sensor for Chloride Monitoring of Mortar under Dry-Wet Cycles”
by Tian, Y. et al.
Sensors 2020, 20(5), 1394; https://doi.org/10.3390/s20051394
Available online: https://www.mdpi.com/1424-8220/20/5/1394

6. “Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS”
by Marek, G. et al.
Sensors 2020, 20(7), 2124; https://doi.org/10.3390/s20072124
Available online: https://www.mdpi.com/1424-8220/20/7/2124

7. “Non-Enzymatic Amperometric Glucose Sensor Based on Carbon Nanodots and Copper Oxide Nanocomposites Electrode”
by Sridara, T. et al.
Sensors 2020, 20(3), 808; https://doi.org/10.3390/s20030808
Available online: https://www.mdpi.com/1424-8220/20/3/808

8. “Recent Advances in Enzymatic and Non-Enzymatic Electrochemical Glucose Sensing”
by Hassan, M.H. et al.
Sensors 2021, 21(14), 4672; https://doi.org/10.3390/s21144672
Available online: https://www.mdpi.com/1424-8220/21/14/4672

9. “Nanostructured Metal Oxide-Based Acetone Gas Sensors: A Review”
by Amiri, V. et al.
Sensors 2020, 20(11), 3096; https://doi.org/10.3390/s20113096
Available online: https://www.mdpi.com/1424-8220/20/11/3096

10. “Chiral Plasmonics and Their Potential for Point-of-Care Biosensing Applications”
by Paiva-Marques, A. W. et al.
Sensors 2020, 20(3), 944; https://doi.org/10.3390/s20030944
Available online: https://www.mdpi.com/1424-8220/20/3/944

MDPI will be attending the 6th Micro-Nano Optical Technology and Application Conference (MOTA2022) in Nanjing, China, which will take place from 21 to 23 October 2022. The MOTA2022 is organized by the Chinese Society for Optical Engineering, aiming to build a communication platform between researchers and industrial application teams, as well as promote scientific research progress and the industrialization development of micro-nano optics.

The following MDPI journals will be represented:

• Electronics (leading journal);
• Photonics (leading journal);
• Coatings;
• Sensors;
• Crystals;
• Journal of Imaging.

If you are attending this conference, please feel free to stop by our booth. Our delegates look forward to meeting you in person to answer any questions that you may have.

For more information about the conference, please visit the following link: https://b2b.csoe.org.cn/meeting/MOTA2022.html.

Sensors is the leading international, peer-reviewed, open access journal on the science and technology of sensors. It is published semimonthly online by MDPI.

To develop different research areas and continue to attract high-quality papers, Sensors (ISSN:1424-8220) is recruiting Section Editors-in-Chief (https://www.mdpi.com/journal/sensors/sections) for the following Sections:

• “Fault Diagnosis & Sensors”;
• “Vehicular Sensing”;
• “Environmental Sensing”;
• “Industrial Sensors";
• “Sensors Development”.

If you are an active researcher in one of the aforementioned fields and are passionate about publishing cutting-edge research, please do not hesitate to contact us at [email protected]. More information can be found on our homepage: https://www.mdpi.com/journal/sensors.

Responsibilities of the Section Editor-in-Chief include the following:

• Deciding whether a manuscript should be accepted based on the reports we collect;
• Reviewing a small number of papers per year and managing the Section in collaboration with other editors;
• Promoting Sensors and increasing its visibility at academic conferences.

As a Section Editor-in-Chief, you have the opportunity to publish one paper per year free of charge in any of our journals. The term for this position is two years and can be renewed. 

By combining our rigorous editorial policies with your expertise, we can maintain a high-quality journal. Thank you in advance for your interest. We look forward to collaborating with you soon.

Sensors Editorial Office

1. “Advances in Smart Environment Monitoring Systems Using IoT and Sensors”
by Silvia Liberata Ullo et al.
Sensors 2020, 20(11), 3113; https://doi.org/10.3390/s20113113
Available online: https://www.mdpi.com/1424-8220/20/11/3113

2. “Towards a Remote Monitoring of Patient Vital Signs Based on IoT-Based Blockchain Integrity Management Platforms in Smart Hospitals”
by Faisal Jamil et al.
Sensors 2020, 20(8), 2195; https://www.mdpi.com/1424-8220/20/8/2195
Available online: https://www.mdpi.com/1424-8220/20/8/2195

3. ‘’ 5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps”
by Pal Varga et al.
Sensors 2020, 20(3), 828; https://doi.org/10.3390/s20030828
Available online: https://www.mdpi.com/1424-8220/20/3/828

4. “Edge Machine Learning for AI-Enabled IoT Devices: A Review”
by Massimo Merenda et al.
Sensors 2020, 20(9), 2533; https://doi.org/10.3390/s20092533
Available online: https://www.mdpi.com/1424-8220/20/9/2533

5. “An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture”
by Khalid Haseeb et al.
Sensors 2020, 20(7), 2081; https://doi.org/10.3390/s20072081
Available online: https://www.mdpi.com/1424-8220/20/7/2081

6. “IoT-Blockchain Enabled Optimized Provenance System for Food Industry 4.0 Using Advanced Deep Learning”
by Prince Waqas Khan et al.
Sensors 2020, 20(10), 2990; https://doi.org/10.3390/s20102990  
Available online: https://www.mdpi.com/1424-8220/20/10/2990

7. “Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach”
by Jesús Galeano-Brajones et al.
Sensors 2020, 20(3), 816; https://doi.org/10.3390/s20030816  
Available online: https://www.mdpi.com/1424-8220/20/3/816

8. “LoRaWAN for Smart City IoT Deployments: A Long Term Evaluation”
by Philip J. Basford et al.
Sensors 2020, 20(3), 648; https://doi.org/10.3390/s20030648
Available online: https://www.mdpi.com/1424-8220/20/3/648

9. “IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings”
by Raffaele Carli et al.
Sensors 2020, 20(3), 781; https://doi.org/10.3390/s20030781
Available online: https://www.mdpi.com/1424-8220/20/3/781

10. “Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0”
by Tahera Kalsoom et al.
Sensors 2020, 20(23), 6783; https://doi.org/10.3390/s20236783
Available online: https://www.mdpi.com/1424-8220/20/23/6783

Sensors (ISSN: 1424-8220) will be attending the 8th International Symposium on Sensor Science–China (I3S-CN 2022). This symposium will be held in Nanjing, China, from 14 to 16 September 2022.

The 8th International Symposium on Sensor Science—China is organized by the MDPI open access journal Sensors (IF: 3.847). With the finding and artificial synthesis of new recognition elements, the significant advancement in the synthesis of nanomaterials and understanding of their properties, and the innovation of signal transduction principles, sensor science has become one of the most active research areas. This conference will provide leading scientists working in this field with a platform to share their latest research and engage in exciting discussions.

The main topics of the conference include:

• Biosensors and Bioelectronics;
• Chemical Sensors;
• Internet of Things and Sensor Networks;
• Wearable Sensors;
• Bioimaging;
• Optical Sensors;
• Sensors and Actuators.

There will also be two specific topics in the Remote Sensing Science Workshop:

• Remote Sensors, Data Acquisition and Processing;
• Remote Sensing Application.

If you are attending this conference, please feel free to start a conversation with us. Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about the conference and our booth, please visit the following link: https://sciforum.net/event/I3S-CN2021.

1. “UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective”
by Mingjie Liu et al.
Sensors 2020, 20(8), 2238; https://doi.org/10.3390/s20082238
Available online: https://www.mdpi.com/1424-8220/20/8/2238

2. “Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility”
by Shahab S. Band et al.
Sensors 2020, 20(19), 5609; https://doi.org/10.3390/s20195609
Available online: https://www.mdpi.com/1424-8220/20/19/5609

3. ‘’Voxel-FPN: Multi-Scale Voxel Feature Aggregation for 3D Object Detection from LIDAR Point Clouds”
by Hongwu Kuang et al.
Sensors 2020, 20(3), 704; https://doi.org/10.3390/s20030704
Available online: https://www.mdpi.com/1424-8220/20/3/704

4. “Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data”
by Tuuli Soomets et al.
Sensors 2020, 20(3), 742; https://doi.org/10.3390/s20030742
Available online: https://www.mdpi.com/1424-8220/20/3/742

5. “Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network”
by Li Zhu et al.
Sensors 2020, 20(6), 1576; https://doi.org/10.3390/s20061576
Available online: https://www.mdpi.com/1424-8220/20/6/1576

6. “Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review”
by Qian Zhang et al.
Sensors 2020, 20(5), 1520; https://doi.org/10.3390/s20051520
Available online: https://www.mdpi.com/1424-8220/20/5/1520

7. “Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques”
by Mohammad Mehrabi et al.
Sensors 2020, 20(6), 1723; https://doi.org/10.3390/s20061723
Available online: https://www.mdpi.com/1424-8220/20/6/1723

8. “Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery”
by Daliana Lobo Torres et al.
Sensors 2020, 20(2), 563; https://doi.org/10.3390/s20020563
Available online: https://www.mdpi.com/1424-8220/20/2/563

9. “Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar”
by Yong Wang et al.
Sensors 2020, 20(10), 2999; https://doi.org/10.3390/s20102999
Available online: https://www.mdpi.com/1424-8220/20/10/2999

10. “Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data”
by Huilin Tao et al.
Sensors 2020, 20(5), 1296; https://doi.org/10.3390/s20051296
Available online: https://www.mdpi.com/1424-8220/20/5/1296

We are pleased to announce that Prof. Dr. Chris Rizos has been appointed Editor-in-Chief of the “Navigation and Positioning” Section of Sensors (ISSN: 1424-8220).

Prof. Dr. Chris Rizos is an Emeritus Professor in the School of Civil and Environmental Engineering and a co-director of the Satellite Navigation and Positioning (SNAP) Lab at the University of New South Wales (UNSW). Professor Rizos’s expertise and research interests include:

• Modern geodesy technologies and applications as well as geospatial technologies in general;
• Technologies and applications of satellite-, wireless- and inertia-based sensors for navigation and positioning;
• GNSS for all classes of uses from geodesy to navigation;
• GNSS positioning infrastructure as well as geodetic and height datums in general.

Prof. Dr. Chris Rizos has been researching the technology and applications of GPS (and later GNSS) since the mid-1980s and has authored or co-authored over 650 journal and conference papers across the technological and scientific fields of geodesy, GPS/GNSS and precise navigation (a full list can be viewed at http://research.unsw.edu.au/people/professor-chris-rizos/publications).

The following is a short Q&A with Prof. Dr. Chris Rizos, who shared his vision for the journal with us as well as his views of the research area and open access publishing:

1. What appealed to you about the journal that made you want to take the role as its Section Editor-in-Chief?
The high quality of author contributions across a broad spectrum of topics that include electronics, signal processing, measurement modeling and processing, and applications associated with all types of navigation and positioning sensors and technologies. We are in an era where positioning information is increasingly used to support a wide range of navigation applications. Many critical defense, civil, professional and mass-market applications demand ubiquitous positioning. GNSS cannot, on its own, satisfy many of these requirements. This will spur the increased research and development of sensor technologies, which augurs well for the future of the journal as a place where researchers will be able to report on their work.

2. What is your vision for the Section?
That the “Navigation and Positioning” Section of the journal is the preferred option for publishing exciting work on new navigation and positioning sensor technologies as well as new developments in GNSS.

3. What does the future of this field of research look like?
Extracting the maximum accuracy, availability and integrity from GNSS technology has been the primary driver for navigation and positioning research in universities and industry over the last several decades. Other sensor research has often been justified as addressing the need to “augment” GNSS when it cannot deliver the performance demanded by specific applications. In the future, we are likely to see accelerated navigation and positioning sensor development in non-GNSS technologies, including using signals from LEO satellite constellations, advances in inertial technologies, and new concepts for terrestrial range-based systems. These will complement GNSS in environments where GNSS cannot be considered the primary technological option, such as indoors, underground, underwater and in chaotic urban environments.

4. What do you think of the development of open access in the publishing field?
I am in favor of any innovations in publishing that provide universal and timely access to advances in engineering research.

We wish Prof. Dr. Chris Rizos every success in his new position, and we look forward to his contributions to the journal.

MDPI will be attending the 5th China Intelligent Optimization and Scheduling Conference from 12 to 14 August 2022, in Taiyuan, China.

Themed “Intelligent Optimisation for Scheduling”, the conference will focus on big data, artificial intelligence, simulation optimization, intelligent optimization, scheduling optimization, and other directions through conference presentations, group presentations, wall presentations, enterprise application demonstrations, etc., to carry out cutting-edge theories, methods, technologies, and applications, and will invite famous publishers at home and abroad to introduce journal submissions. The conference will select outstanding academic papers, young scientists, outstanding Ph.D. theses, outstanding M.Sc. theses, innovative application practice projects, etc.

The following MDPI journals will be represented:

• Sensors;
• Systems;
• Mathematics;
• Axioms;
• Smart Cities;
• Future Internet;
• Data;
• Algorithms;
• Automation;
• Signals.

If you are attending this conference, please feel free to start a conversation with us. Our delegates look forward to meeting you in person and answering any questions that you may have.

The purpose of our Best Paper Awards is to promote and recognize the most impactful contributions published within MDPI journals.

The academic editors of each journal carefully selected reviews and research papers through a rigorous judging process based on criteria such as the scientific merit, overall impact, and the quality of presentation of the papers published in the journal.

We are honored to present the winners in the “Engineering” category, who were selected amongst extensive competition, and congratulate the authors for their outstanding scientific publications.

Actuators:

• “Position Control of Pneumatic Actuators Using Three-Mode Discrete-Valued Model Predictive Control”
  by Haitao Qi, Gary M. Bone and Yile Zhang
  Actuators 2019, 8(3), 56; doi: 10.3390/act8030056
• “Review of Electrothermal Actuators and Applications”
  by Alissa Potekhina and Changhai Wang
  Actuators 2019, 8(4), 69; doi: 10.3390/act8040069

Batteries:

• “Pre-Lithiation Strategies for Rechargeable Energy Storage Technologies: Concepts, Promises and Challenges”
  by Florian Holtstiege, Peer Bärmann, Roman Nölle, Martin Winter and Tobias Placke
  Batteries 2018, 4(1), 4; doi: 10.3390/batteries4010004
• “A Critical Review of Lithium-Ion Battery Recycling Processes from a Circular Economy Perspective”
  by Omar Velázquez-Martínez, Johanna Valio, Annukka Santasalo-Aarnio, Markus Reuter and Rodrigo Serna-Guerrero
  Batteries 2019, 5(4), 68; doi: 10.3390/batteries5040068
• “Critical Review of the Use of Reference Electrodes in Li-Ion Batteries: A Diagnostic Perspective”
  by Rinaldo Raccichini, Marco Amores and Gareth Hinds
  Batteries 2019, 5(1), 12; doi: 10.3390/batteries5010012
• “Life Cycle Analysis of Lithium-Ion Batteries for Automotive Applications”
  by Qiang Dai, Jarod C. Kelly, Linda Gaines and Michael Wang
  Batteries 2019, 5(2), 48; doi 10.3390/batteries5020048
• “Design Strategies for High Power vs. High Energy Lithium Ion Cells”
  by Michael J. Lain, James Brandon and Emma Kendrick
  Batteries 2019, 5(4), 64; doi: 10.3390/batteries5040064

Chemosensors:

• “Influence of Humidity on NO₂-Sensing and Selectivity of Spray-CVD Grown ZnO Thin Film above 400 °C”
  by Roussin Lontio Fomekong and Bilge Saruhan
  Chemosensors 2019, 7(3), 42; doi: 10.3390/chemosensors7030042
• “Low Molecular Weight Fluorescent Probes (LMFPs) to Detect the Group 12 Metal Triad”
  by Ashley D. Johnson, Rose M. Curtis and Karl J. Wallace
  Chemosensors 2019, 7(2), 22; doi: 10.3390/chemosensors7020022

Journal of Marine Science and Engineering:

• “Marine Application of Fiber Reinforced Composites: A Review”
  by Felice Rubino, Antonio Nisticò, Fausto Tucci and Pierpaolo Carlone
  Mar. Sci. Eng. 2020, 8(1), 26; doi: 10.3390/jmse8010026
• “Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan”
  by Shih-Chun Hsiao, Hongey Chen, Han-Lun Wu, Wei-Bo Chen, Chih-Hsin Chang, Wen-Dar Guo, Yung-Ming Chen and Lee-Yaw Lin
  Mar. Sci. Eng. 2020, 8(3), 217; doi: 10.3390/jmse8030217
• “Development of Deterministic Artificial Intelligence for Unmanned Underwater Vehicles (UUV)”
  by Timothy Sands
  Mar. Sci. Eng. 2020, 8(8), 578; doi: 10.3390/jmse8080578

Lubricants:

• “Solid Lubrication with MoS₂: A Review”
  by Mohammad R. Vazirisereshk, Ashlie Martini, David A. Strubbe and Mehmet Z. Baykara
  Lubricants 2019, 7(7), 57; doi:10.3390/lubricants7070057
• “Investigations of the Friction Losses of Different Engine Concepts. Part 1: A Combined Approach for Applying Subassembly-Resolved Friction Loss Analysis on a Modern Passenger-Car Diesel Engine”
  by Christoph Knauder, Hannes Allmaier, David E. Sander and Theodor Sams
  Lubricants 2019, 7(5), 39; doi: 10.3390/lubricants7050039
• “A Discussion on Present Theories of Rubber Friction, with Particular Reference to Different Possible Choices of Arbitrary Roughness Cutoff Parameters”
  by Andrea Genovese, Flavio Farroni, Antonio Papangelo and Michele Ciavarella
  Lubricants 2019, 7(10), 85; doi: 10.3390/lubricants7100085

Micromachines:

• “4D Printing of Multi-Hydrogels Using Direct Ink Writing in a Supporting Viscous Liquid”
  by Takuya Uchida and Hiroaki Onoe
  Micromachines 2019, 10(7), 433; doi: 10.3390/mi10070433
• “Enhanced Photocatalytic Performance and Mechanism of [email protected]iO₃ Composites with Au Nanoparticles Assembled on CaTiO₃ Nanocuboids”
  by Yuxiang Yan, Hua Yang, Zao Yi, Ruishan Li and Xiangxian Wang
  Micromachines 2019, 10(4), 254; doi: 10.3390/mi10040254
• “Three-Dimensionally Structured Flexible Fog Harvesting Surfaces Inspired by Namib Desert Beetles”
  by Jun Kyu Park and Seok Kim
  Micromachines 2019, 10(3), 201; doi: 10.3390/mi10030201

Processes:

• “Accelerating Biologics Manufacturing by Modeling or: Is Approval under the QbD and PAT Approaches Demanded by Authorities Acceptable without a Digital-Twin?”
  by Steffen Zobel-Roos, Axel Schmidt, Fabian Mestmäcker, Mourad Mouellef, Maximilian Huter, Lukas Uhlenbrock, Martin Kornecki, Lara Lohmann, Reinhard Ditz and Jochen Strube
  Processes 2019, 7(2), 94; doi: 10.3390/pr7020094
• “Multiscale Agent-Based and Hybrid Modeling of the Tumor Immune Microenvironment”
  by Kerri-Ann Norton, Chang Gong, Samira Jamalian and Aleksander S. Popel
  Processes 2019, 7(1), 37; doi: 10.3390/pr7010037
• “Dynamic Flowsheet Model Development and Sensitivity Analysis of a Continuous Pharmaceutical Tablet Manufacturing Process Using the Wet Granulation Route”
  by Nirupaplava Metta, Michael Ghijs, Elisabeth Schäfer, Ashish Kumar, Philippe Cappuyns, Ivo Van Assche, Ravendra Singh, Rohit Ramachandran, Thomas De Beer, Marianthi Ierapetritou and Ingmar Nopens
  Processes 2019, 7(4), 234; doi: 10.3390/pr7040234

Sensors:

• “A Decentralized Privacy-Preserving Healthcare Blockchain for IoT”
  by Ashutosh Dhar Dwivedi, Gautam Srivastava, Shalini Dhar and Rajani Singh
  Sensors 2019, 19(2), 326; doi: 10.3390/s19020326
• “The Progress of Glucose Monitoring—A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors”
  by Wilbert Villena Gonzales, Ahmed Toaha Mobashsher and Amin Abbosh
  Sensors 2019, 19(4), 800; doi: 10.3390/s19040800
• “Contact-Based Methods for Measuring Respiratory Rate”
  by Carlo Massaroni, Andrea Nicolò, Daniela Lo Presti, Massimo Sacchetti, Sergio Silvestri and Emiliano Schena
  Sensors 2019, 19(4), 908; doi: 10.3390/s19040908

World Electric Vehicle Journal:

• “Dynamic Wireless Power Transfer Charging Infrastructure for Future EVs: From Experimental Track to Real Circulated Roads Demonstrations”
  by Stéphane Laporte, Gérard Coquery, Virginie Deniau, Alexandre De Bernardinis and Nicolas Hautière
  World Electr. Veh. J. 2019, 10(4), 84; doi: 10.3390/wevj10040084

MDPI’s Young Investigator Awards recognize promising junior researchers, acknowledge their contributions, and enhance communication among scientists. We are proud to present the winners for the year 2021 in the “Engineering” category. The winners were selected by the journals’ editors.

We warmly congratulate the awarded Young Investigators for their outstanding contributions. MDPI will continue to provide support and recognition to the academic community.

Biosensors:

• Amay J. Bandodkar, North Carolina State University, USA.

ChemEngineering:

• Andrew S. Paluch, Miami University, USA.

Chemosensors:

• Mindy Levine, Ariel University, Israel.

Electronics:

• Amir H. Gandomi, University of Technology Sydney, Australia.

Journal of Marine Science and Engineering:

• Tiago Fazeres-Ferradosa, University of Porto, Portugal.

Machines:

• Chen Lv, Nanyang Technological University (NTU), Singapore;
• Ignacio Gonzalez-Prieto, University of Malaga (UMA), Spain;
• Ning Sun, Nankai University, China.

Processes:

• Anton Rassõlkin, Tallinn University of Technology, Estonia.

Sensors:

• Qammer H. Abbasi, Queen Mary University of London, UK;
• Chi Hwan Lee, Purdue University, USA.

We are proud to recognize the winners of MDPI’s 2021 Travel Awards in the “Engineering” category for their outstanding presentations and to present them with the prize.

MDPI journals regularly offer travel awards to encourage talented junior scientists to present their latest research at academic conferences in specific fields, which helps to increase their influence.

The winners mentioned below were carefully selected by the journal editors based on an outline of their research and the work to be presented at an academic conference.

We would like to warmly congratulate the winners of this year’s Travel Awards and wish them the greatest success with their future research endeavors. MDPI will continue to enhance communication among scientists.

Actuators:

• Matthew Wei Ming Tan, Nanyang Technological University, Singapore.

Applied Sciences:

• Márcia de Sousa Oliveira, University of León, Spain;
• Caroline Sarah Taylor, University of Sheffield, UK;
• Raquel Viveiros, NOVA University of Lisbon, Portugal;
• Alfonso González Briones, University of Salamanca, Spain;
• Alen Horvat, University Carlos III Madrid, Spain;
• Marie Švecová, University of Chemistry and Technology, Czech Republic;
• Venanzio Giannella, University of Salerno, Italy;
• Michaël Lobet, University of Namur, Belgium;
• Lam Thi Ngoc Tran, National Research Council, Italy;
• Hanfei Mei, University of South Carolina, USA.

Applied System Innovation:

• Mert Nakip, Polish Academy of Sciences, Poland.

Biosensors:

• Mengdi Bao, Rochester Institute of Technology, USA;

Yichi Su, Stanford University, USA.

Buildings:

• Karthik Panchabikesan, Concordia University, Canada;
• Xiaolei Yuan, Tongji University, China.

Chemosensors:

• Verónica Montes García, Université de Strasbourg & CNRS, France.

Electronics:

• Peng Hang, Nanyang Technological University, Singapore;
• Alfonso González Briones, University of Salamanca, Spain.

Fluids:

• Alberto Zingaro, Politecnico di Milano, Italy;
• Sarah E. Morris, Auburn University, USA.

Infrastructures:

• Angelo Aloisio, University of L’Aquila, Italy;
• André Filipe Castanheira Alves Furtado, University of Porto, Portugal.

Journal of Low Power Electronics and Applications:

• Tommaso Zanotti, University of Modena and Reggio Emilia, Italy.

Journal of Manufacturing and Materials Processing:

• Nagalingam Arun Prasanth, [email protected] Corporate Lab, Singapore.

Machines:

• Muhammad Jamil, Nanjing University of Aeronautics and Astronautics (NUAA), China;
• Mariagrazia Tristano, Sheffield Hallam University, UK.

Processes:

• Michele Schlich, University of Cagliari, Italy;
• Álvaro Santana Mayor, University of La Laguna, Spain.

Sensors:

• Eleonora Macchia, Åbo Akademi University, Finland;
• Alfonso Gonzalez Briones, University of Salamanca, Spain;
• Saúl Vallejos Calzada, University of Burgos, Spain;
• Ana Novo, University of Vigo, Spain;
• Yalin Liu, Macau University of Science and Technology, China;
• Marilena Giglio, Politecnico of Bari, Italy;
• Yuzhi Shi, Nanyang Technological University (NTU), Singapore.

In order to acknowledge our reviewers, who so generously dedicate their time to reviewing papers and demonstrate diligence, professionalism, and timeliness when reviewing manuscripts, MDPI journals regularly offer outstanding reviewer awards to scholars who participate in the peer-review process.

We are proud to recognize the winners for the year 2021 in the “Engineering” category for their outstanding contributions among extensive competition by presenting them with an Outstanding Reviewer Award.

We would like to take this opportunity to congratulate all of the winners on their achievement. MDPI will continue to provide support and recognition to the academic community.

Actuators:

• Ryszard Dindorf, Kielce University of Technology, Poland.

Applied Sciences:

• Khaled Giasin, University of Portsmouth, UK;
• Jakub Krzysztof Grabski, University of Technology, Poland;
• Marcos Tostado-Véliz, University of Jaén, Spain;
• Luigi Pugliese, University of Calabria, Italy;
• Francesco Bennardo, University of Catanzaro, Italy;
• Heriberto Perez-Acebo, University of the Basque Country UPV/EHU, Spain.

Biosensors:

• Amir Hatamie, University of Gothenburg, Sweden.

Buildings:

• Francesco Fiorito, Polytechnic University of Bari, Italy;
• Paul G. O’Brien, York University, Canada.

Chemosensors:

• Verónica Montes García, University of Strasbourg, France.

Machines:

• Piotr Gierlak, Rzeszow University of Technology, Poland;
• Sebastian A. Nugroho, University of Michigan, USA;
• Viorel Paleu, Gheorghe Asachi Technical University of Iasi, Romania.

Processes:

• Marcin Dębowski, University of Warmia and Mazury in Olsztyn, Poland;
• Bartłomiej Zieniuk, Warsaw University of Life Sciences, Poland;
• Zbigniew Nadolny, Poznan University of Technology, Poland;
• Attila Egedy, University of Pannonia, Hungary;
• Seok-Ho Rhi, Chungbuk National University, Korea.

Sensors:

• Hojong Choi, Kumoh National Institute of Technology, Korea;
• Li Fu, Hangzhou Dianzi University, China;
• Leonardo De Mello Honorio, Federal University of Juiz De Fora Juiz De Fora, Brazil;
• Mario Versaci, Mediterranea University, Italy;
• Robertas Damasevicius, Kaunas University of Technology, Lithuania.

We are pleased to announce that Prof. Dr. Bijan Shirinzadeh has been appointed Section Editor-in-Chief of the “Sensors and Robotics” Section in Sensors (ISSN 1424-8220).

Prof. Dr. Bijan Shirinzadeh received a B.Eng. degree in mechanical engineering, a B.Eng. degree in aerospace engineering, and an M.S.Eng. degree in mechanical engineering from the University of Michigan, Ann Arbor, as well as a Ph.D. degree in mechanical engineering from the University of Western Australia (UWA). He is currently a full professor and the director of the Robotics and Mechatronics Research Laboratory (RMRL). His areas of expertise are automation, CAE/CAD/CAM/CAPP manufacturing, computational geometry, contact and quasistatic motion analysis, flexible fixturing, mechatronics, robotics and sensing, and control.

The following is a short Q&A with Prof. Dr. Shirinzadeh, who shared his vision for the journal with us, as well as his views of the research area and open access publishing:

1. What appealed to you about the journal that made you want to take the role as its Section Editor-in-Chief?
The journal has very professional and excellent administrative and editorial teams. The journal also has an excellent impact factor that has been steadily increasing. As a result, I was honored to be invited to be the Editor-in-Chief.

2. What is your vision for the Section?
The “Sensors and Robotics” Section is becoming increasingly important, given the developments of sensing and control strategies in all aspects of robotics. It is envisaged that the Section will endeavor to publish high-quality manuscripts from around the world and be a leading source of research reporting to established researchers as well as early career researchers.

3. What does the future of this field of research look like?
The fundamental and strategic research in this field will continue to grow, and this will enable the Section to publish leading-edge and innovative research in many areas such as robotics in medicine and rehabilitation, micro and nano technologies and systems, autonomous and complex systems, sensing in robotic and automated manufacturing, AI and ML-based sensing and robotics systems, and many more.

4. What do you think of the development of Open Access in the publishing field?
The development of Open Access in the publishing field has been excellent for readers, as it provides an easy avenue for researchers to obtain excellent publications in a free access environment. However, it has also been challenging for Open Access journals to compete with long-established journals for relevance, publication volume, quality manuscripts, and impact factor.

We warmly welcome Prof. Dr. Bijan Shirinzadeh in his role as Section Editor-in-Chief, and we look forward to him leading Sensors to achieve more milestones.

The 2021 citation metrics have been released in the Journal Citation Reports (JCR), and we’re pleased to announce the following results for MDPI journals: