Announcements

Launched in 2001, Sensors (ISSN 1424-8220) is an international, peer-reviewed, open access journal on the science and technology of sensors. The past quarter century has witnessed a remarkable evolution in sensing science and technology—evolving from fundamental sensor design to the ubiquitous integration of smart sensing in the Internet of Things (IoT) and AI-driven systems. To commemorate this milestone, we have curated a special collection of 25 representative research articles and 25 review papers from our extensive publication history. These works were selected by the Editor-in-Chief and Editorial Board team based on the criteria of exceptional research impact and a key role in defining the key milestones of sensor research across diverse disciplines.

(I) Sensing Principles, Materials and Devices
Research Article
“Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications”
by Hend S. Magar, Rabeay Y. A. Hassan and Ashok Mulchandani
Sensors 2021, 21(19), 6578; https://doi.org/10.3390/s21196578
Cited by 1140+

Review Papers
“Electrochemical Biosensors - Sensor Principles and Architectures”
by Dorothee Grieshaber, Robert MacKenzie, Janos Vörös and Erik Reimhult
Sensors 2008, 8(3), 1400−1458; https://doi.org/10.3390/s80314000
Cited by 1360+

“Metal Oxide Gas Sensors: Sensitivity and Influencing Factors”
by Chengxiang Wang, Longwei Yin, Luyuan Zhang, Dong Xiang and Rui Gao
Sensors 2010, 10(3), 2088−2106; https://doi.org/10.3390/s100302088
Cited by 2700+

“Metal Oxide Semi-Conductor Gas Sensors in Environmental Monitoring”
by George F. Fine, Leon M. Cavanagh, Ayo Afonja and Russell Binions
Sensors 2010, 10(6), 5469−5502; https://doi.org/10.3390/s100605469
Cited by 1330+

“Metal Oxide Nanostructures and Their Gas Sensing Properties: A Review”
by Yu-Feng Sun, Shao-Bo Liu, Fan-Li Meng, Jin-Yun Liu, Zhen Jin, Ling-Tao Kong and Jin-Huai Liu
Sensors 2012, 12(3), 2610−2631; https://doi.org/10.3390/s120302610
Cited by 1130+

“A Survey on Gas Sensing Technology”
by Xiao Liu, Sitian Cheng, Hong Liu, Sha Hu, Daqiang Zhang and Huansheng Ning
Sensors 2012, 12(7), 9635−9665; https://doi.org/10.3390/s120709635
Cited by 1390+

“Humidity Sensors Principle, Mechanism, and Fabrication Technologies: A Comprehensive Review”
by Hamid Farahani, Rahman Wagiran and Mohd Nizar Hamidon
Sensors 2014, 14(5), 7881−7939; https://doi.org/10.3390/s140507881
Cited by 1180+

“Surface Plasmon Resonance: A Versatile Technique for Biosensor Applications”
by Hoang Hiep Nguyen, Jeho Park, Sebyung Kang and Moonil Kim
Sensors 2015, 15(5), 10481−10510; https://doi.org/10.3390/s150510481
Cited by 1210+

“A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors”
by Varnakavi. Naresh and Nohyun Lee
Sensors 2021, 21(4), 1109; https://doi.org/10.3390/s21041109
Cited by 1750+

(II) Wearable, Physiological and Biomedical Sensors
Research Articles
“Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers”
by Andrea Mannini and Angelo Maria Sabatini
Sensors 2010, 10(2), 1154−1175; https://doi.org/10.3390/s100201154
Cited by 660+

“IMU-Based Joint Angle Measurement for Gait Analysis”
by Thomas Seel, Jörg Raisch and Thomas Schauer
Sensors 2014, 14(4), 6891−6909; https://doi.org/10.3390/s140406891
Cited by 760+

“Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition”
by Francisco Javier Ordóñez and Daniel Roggen
Sensors 2016, 16(1), 115; https://doi.org/10.3390/s16010115
Cited by 2460+

“A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults”
by Dean J. Miller, Charli Sargent and Gregory D. Roach
Sensors 2022, 22(16), 6317; https://doi.org/10.3390/s22166317
Cited by 240+

Review Papers
“Brain Computer Interfaces, a Review”
by Luis Fernando Nicolas-Alonso and Jaime Gomez-Gil
Sensors 2012, 12(2), 1211−1279; https://doi.org/10.3390/s120201211
Cited by 1940+

“Wearable Electronics and Smart Textiles: A Critical Review”
by Matteo Stoppa and Alessandro Chiolerio
Sensors 2014, 14(7), 11957−11992; https://doi.org/10.3390/s140711957
Cited by 1910+

“Wearable Sensors for Remote Health Monitoring”
by Sumit Majumder, Tapas Mondal and M. Jamal Deen
Sensors 2017, 17(1), 130; https://doi.org/10.3390/s17010130
Cited by 1180+

“Biomarkers in Cancer Detection, Diagnosis, and Prognosis”
by Sreyashi Das, Mohan Kumar Dey, Ram Devireddy and Manas Ranjan Gartia
Sensors 2024, 24(1), 37; https://doi.org/10.3390/s24010037
Cited by 330+

“Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification”
by Elnaz Vafaei and Mohammad Hosseini
Sensors 2025, 25(5), 1293; https://doi.org/10.3390/s25051293
Cited by 80+

“Wearable and Flexible Sensor Devices: Recent Advances in Designs, Fabrication Methods, and Applications”
by Shahid Muhammad Ali, Sima Noghanian, Zia Ullah Khan, Saeed Alzahrani, Saad Alharbi, Mohammad Alhartomi and Ruwaybih Alsulami
Sensors 2025, 25(5), 1377; https://doi.org/10.3390/s25051377
Cited by 90+

(III) Sensor Fusion and Computer Vision
Research Articles
“Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications”
by Kourosh Khoshelham and Sander Oude Elberink
Sensors 2012, 12(2), 1437−1454; https://doi.org/10.3390/s120201437
Cited by 1450+

“Analysis of the Accuracy and Robustness of the Leap Motion Controller”
by Frank Weichert, Daniel Bachmann, Bartholomäus Rudak and Denis Fisseler
Sensors 2013, 13(5), 6380−6393; https://doi.org/10.3390/s130506380
Cited by 840+

“Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras”
by Dat Tien Nguyen, Hyung Gil Hong, Ki Wan Kim and Kang Ryoung Park
Sensors 2017, 17(3), 605; https://doi.org/10.3390/s17030605
Cited by 810+

“GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force”
by Wenzhen Yuan, Siyuan Dong and Edward H. Adelson
Sensors 2017, 17(12), 2762; https://doi.org/10.3390/s17122762
Cited by 1110+

“SECOND: Sparsely Embedded Convolutional Detection”
by Yan Yan, Yuxing Mao and Bo Li
Sensors 2018, 18(10), 3337; https://doi.org/10.3390/s18103337
Cited by 3340+

“Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs”
by Upesh Nepal and Hossein Eslamiat
Sensors 2022, 22(2), 464; https://doi.org/10.3390/s22020464
Cited by 420+

Review Paper
“Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review”
by De Jong Yeong, Gustavo Velasco-Hernandez, John Barry and Joseph Walsh
Sensors 2021, 21(6), 2140; https://doi.org/10.3390/s21062140
Cited by 960+

(IV) Industrial and Structural Sensing and Fault Diagnosis
Research Articles
“Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey”
by Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran and Sutharshan Rajasegarar
Sensors 2012, 12(12), 16838−16866; https://doi.org/10.3390/s121216838
Cited by 870+

“Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks”
by Rui Zhao, Ruqiang Yan, Jinjiang Wang and Kezhi Mao
Sensors 2017, 17(2), 273; https://doi.org/10.3390/s17020273
Cited by 750+

“A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals”
by Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen and Zhujun Zhang
Sensors 2017, 17(2), 425; https://doi.org/10.3390/s17020425
Cited by 1870+

Review Papers
“A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring”
by Sahar Hassani and Ulrike Dackermann
Sensors 2023, 23(4), 2204; https://doi.org/10.3390/s23042204
Cited by 420+

“Additive Manufacturing: A Comprehensive Review”
by Longfei Zhou, Jenna Miller, Jeremiah Vezza, Maksim Mayster, Muhammad Raffay, Quentin Justice, Zainab Al Tamimi, Gavyn Hansotte, Lavanya Devi Sunkara and Jessica Bernat
Sensors 2024, 24(9), 2668; https://doi.org/10.3390/s24092668
Cited by 460+

“Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities”
by Denis Leite, Emmanuel Andrade, Diego Rativa and Alexandre M. A. Maciel
Sensors 2025, 25(1), 60; https://doi.org/10.3390/s25010060
Cited by 110+

“Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies”
by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman and Dimitrios Chronopoulos
Sensors 2025, 25(5), 1424; https://doi.org/10.3390/s25051424
Cited by 100+

(V) Agriculture and Remote Sensing
Research Articles
“Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest”
by Bunkei Matsushita, Wei Yang, Jin Chen, Yuyichi Onda and Guoyu Qiu
Sensors 2007, 7(11), 2636−2651; https://doi.org/10.3390/s7112636
Cited by 730+

“DeepFruits: A Fruit Detection System Using Deep Neural Networks”
by Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez and Chris McCool
Sensors 2016, 16(8), 1222; https://doi.org/10.3390/s16081222
Cited by 1050+

Review Papers
“A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques”
by Mohammad Haji Gholizadeh, Assefa M. Melesse and Lakshmi Reddi
Sensors 2016, 16(8), 1298; https://doi.org/10.3390/s16081298
Cited by 980+

“Machine Learning in Agriculture: A Review”
by Konstantinos G. Liakos, Patrizia Busato, Dimitrios Moshou, Simon Pearson and Dionysis Bochtis
Sensors 2018, 18(8), 2674; https://doi.org/10.3390/s18082674
Cited by 2740+

“A Review of CNN Applications in Smart Agriculture Using Multimodal Data”
by Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari and Josiane Mothe
Sensors 2025, 25(2), 472; https://doi.org/10.3390/s25020472
Cited by 120+

“The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies”
by Tymoteusz Miller, Grzegorz Mikiciuk, Irmina Durlik, Małgorzata Mikiciuk, Adrianna Łobodzińska and Marek Śnieg
Sensors 2025, 25(12), 3583; https://doi.org/10.3390/s25123583
Cited by 150+

(VI) Wireless Communication and IoT Sensor Networks
Research Articles
“Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology”
by Carles Gomez, Joaquim Oller and Josep Paradells
Sensors 2012, 12(9), 11734−11753; https://doi.org/10.3390/s120911734
Cited by 800+

“A Study of LoRa: Long Range & Low Power Networks for the Internet of Things”
by Aloÿs Augustin, Jiazi Yi, Thomas Clausen and William Mark Townsley
Sensors 2016, 16(9), 1466; https://doi.org/10.3390/s16091466
Cited by 1390+

“Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction”
by Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Ma, Yong Wang and Yunpeng Wang
Sensors 2017, 17(4), 818; https://doi.org/10.3390/s17040818
Cited by 1350+

“CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment”
by Euclides Carlos Pinto Neto, Sajjad Dadkhah, Raphael Ferreira, Alireza Zohourian, Rongxing Lu and Ali A. Ghorbani
Sensors 2023, 23(13), 5941; https://doi.org/10.3390/s23135941
Cited by 920+

(VII) AI-Enabled Sensing and Data Analytics
Research Articles
“A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition”
by Alvaro Fuentes, Sook Yoon, Sang Cheol Kim and Dong Sun Park
Sensors 2017, 17(9), 2022; https://doi.org/10.3390/s17092022
Cited by 1410+

“Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery”
by Phan Thanh Noi and Martin Kappas
Sensors 2018, 18(1), 18; https://doi.org/10.3390/s18010018
Cited by 950+

“A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities”
by Chiou-Jye Huang and Ping-Huan Kuo
Sensors 2018, 18(7), 12220; https://doi.org/10.3390/s18072220
Cited by 640+

“UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios”
by Gang Wang, Yanfei Chen, Pei An, Hanyu Hong, Jinghu Hu and Tiange Huang
Sensors 2023, 23(16), 7190; https://doi.org/10.3390/s23167190
Cited by 940+

“PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection”
by Zhou Wang, Yuting Su, Feng Kang, Lijin Wang, Yaohua Lin, Qingshou Wu, Huicheng Li and Zhiling Cai
Sensors 2025, 25(2), 348; https://doi.org/10.3390/s25020348
Cited by 70+

Review Papers
“Survey of Explainable AI Techniques in Healthcare”
by Ahmad Chaddad, Jihao Peng, Jian Xu and Ahmed Bouridane
Sensors 2023, 23(2), 634; https://doi.org/10.3390/s23020634
Cited by 500+

“From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI”
by Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi and Antonio Puliafito
Sensors 2025, 25(6), 1763; https://doi.org/10.3390/s25061763
Cited by 150+

We extend our deepest gratitude to all the authors, reviewers, and Editorial Board Members who have contributed to the journal's success over the years. It is our sincere hope that the collection not only honors the past but also inspires the next generation of sensing innovations to come.

Please note that citations refer to data as of 1 July 2026.

Sensors Editorial Office

We are pleased to announce that MDPI will be participating as an exhibitor at the 2nd National Conference on Analytical Science and Instrumentation, which will be held from 30 October to 2 November 2026 in Wuhan, China.

This conference will uphold the core concept of “Analytical Science, Creating the Future” and closely follow the conference theme of “AI Assisting Scientific Instruments, Innovating and Reshaping Analytical Science”. It will support a variety of research exchange formats, such as plenary reports, parallel sessions, poster presentations, and special forums, focusing on hot topics such as artificial intelligence, biological sciences, chemistry and materials science, and ecological and environmental sciences, as well as create a high-level exchange platform integrating academic discussion, technology demonstration, and achievement transformation.

The following open access journals will be represented at the conference:

• Analytica;
• Biosensors;
• Molecules;
• Separations;
• Liquids;
• Micro;
• Micromachines;
• Purification;
• Chemosensors;
• Instruments;
• Sensors;
• Spectroscopy Journal.

If you are planning to attend this event, please feel free to contact us online. Our delegates look forward to meeting you in person at our booth and answering any questions you may have. For more information about the conference, please visit the following website: https://ncasi2026.scimeeting.cn/.

We invite you to submit your abstract and participate in the upcoming 4th International Conference on AI Sensors and Transducers (AIS 2027), co-organized by MDPI’s Sensors (ISSN 1424-8220), Micromachines (ISSN 2072-666X), AI Sensors (ISSN 3042-5999), Micro (ISSN 2673-8023) and Robotics (ISSN 2218-6581). The conference will be held from 29 July to 3 August 2027 in Kunming, Yunnan, China.

Following successful editions in Singapore (2024), Kuala Lumpur, Malaysia (2025), and Jeju, South Korea (2026), which collectively brought together nearly 1,350 participants from over 40 countries, AIS 2027 will continue to bring together leading researchers, engineers, and industry experts to explore emerging technologies and future directions.

Event Chairs:

• Prof. Eric M. Yeatman, University of Glasgow, Scotland, UK;
• Prof. Alexander Star, University of Pittsburgh, USA;
• Prof. Wen Jung Li, City University of Hong Kong, China;
• Prof. Chengkuo Lee, National University of Singapore, Singapore.

Plenary Speaker:

• Prof. Zhonglin Wang, Beijing Institute of Nanoenergy and Nanosystems, China.

(The speaker lineup will be updated continuously.)

Important dates:
Deadline for abstract submission: 26 March 2027;
Abstract acceptance notification: 30 April 2027;
Early Bird registration deadline: 7 June 2027;
Covering author registration deadline: 11 June 2027;
Registration deadline: 30 July 2027.

Guide for authors:
To submit your abstract, please click: 

To register for the event, please click:

For details regarding abstract submission, poster and slide submission, please refer to the “Instructions for Authors” Section: https://sciforum.net/event/AIS2027/instructions-for-authors.

For more information, you may refer to the following link: https://sciforum.net/event/AIS2027.

For any inquiries regarding the event, please contact ais@mdpi.com.

Please feel free to share information about this conference with your colleagues and students. We look forward to receiving your submissions and learning about your research at AIS 2027!

Sensors (ISSN 1424-8220) is delighted to announce the winner of the Sensors Best PhD Thesis Award, which honors outstanding doctoral research in the field of sensors. This award recognizes early career researchers whose PhD work demonstrates exceptional scientific quality, innovation, and potential impact.

This year’s award has been granted to the following paper:
“Battery-free, Wireless, Optoelectronic Platform for Multimodal Monitoring of Chronic Wounds and Metabolic Diseases”
by Dr. Seokjoo Cho (Korea Advanced Institute of Science and Technology)

As the awardee, Dr. Seokjoo Cho will receive CHF 1000, an electronic certificate, and a voucher to waive the Article Processing Charge (APC) for one submission to the journal (subject to peer review)—this voucher will be valid for one year.

With an impressive number of high-quality submissions, the selection process was highly competitive. The Sensors Editorial Office and Award Evaluation Committee would like to thank all applicants for their excellent contributions, which covered a wide variety of research topics.

On behalf of the Editorial Office, we congratulate Dr. Seokjoo Cho and wish him continued success in his research career.

Sensors Editorial Office

Conference: The 2nd Cross-Domain Intelligent Flight Technology Conference
Date: 18–20 September 2026
Location: Nanjing, China

We are pleased to announce that MDPI will participate as an exhibitor at the 2nd Cross-Domain Intelligent Flight Technology Conference. We warmly invite researchers and professionals to visit our booth and engage with our team.

To address the development needs of cross-domain aircraft and focus on intelligent empowerment and cutting-edge cross-domain flight technologies, the 2nd Cross-Domain Intelligent Flight Technology Conference is scheduled to be held from September 18 to 20 in Nanjing, Jiangsu Province.

Jointly hosted by the National Key Laboratory of Advanced Technology for Cross-Domain Flight and the Institute of Aerospace Technology under the China Aerodynamics Research and Development Center, and organized by Nanjing University of Aeronautics and Astronautics, the conference aims to facilitate the exchange of the latest research progress regarding fundamental issues, key technologies, and engineering applications in cross-domain flight. It seeks to accelerate the development of cross-domain flight technology while serving national development strategies and the needs of the national economy. Centered on the theme “Intelligent Connectivity in Aerospace and Cross-Domain Flight,” the conference will feature five specialized sessions dedicated to cross-domain intelligent flight technology.

The following open access journals will be represented:

• Aerospace;
• Aeronautics;
• AI for Aerospace;
• Inventions;
• Machines;
• Sensors.

If you are planning to attend the above event, please do not hesitate to start a conversation with us. Our delegates look forward to meeting you in person and answering any questions you may have. For more information, please visit: https://skl.nuaa.edu.cn/2026/0509/c4739a398758/page.htm.

As part of the 10th GOSPEL Workshop: Gas Sensors Based on Semiconducting Metal Oxides: Novel Materials & Mechanism Analyses & Application Fields, an Academic Publishing Workshop (APW) will be organized to provide participants with practical insights into scientific publishing and to disseminate high-quality research.

The workshop will take place during the conference in Tarragona, Spain, and is scheduled for:
Date: 4 September 2026
Time: 15:30–16:00
Duration: 30 minutes

The workshop will cover the following topics:

• Introduction to MDPI’s Sensors and Chemosensors journals;
• Editorial process and peer review;
• Responsible use of artificial intelligence in academic publishing.

The workshop will be sponsored by the journals Sensors (ISSN 1424-8220) and Chemosensors (ISSN 2227-9040).

In addition to sponsoring the Academic Publishing Workshop, the journals will also sponsor the conference coffee break, providing participants with an opportunity to network and interact with fellow researchers and speakers.

This initiative will complement the scientific program of the 10th GOSPEL Workshop by providing participants with practical knowledge and tools to support their future scientific publishing activities while fostering networking among attendees.

Chair:

Dr. Eduard Llobet Valero Professor of electronic technology in the Department of Electronic, Electrical and Automatic Engineering

Speaker:

Tijana Radojicic Deputy Managing Editor in MDPI (Sensors)

Conference: The 28th Annual Conference of the Chinese Society of Micro-Nano Technology & 17th International Conference of the Chinese Society of Micro-Nano Technology (CSMNT2026)
Date: 16-18 October 2026
Location: Shaoxing, China
Booth number: 23

MDPI will be attending the 28th Annual Conference of the Chinese Society of Micro-Nano Technology & 17th International Conference of the Chinese Society of Micro-Nano Technology (CSMNT2026) as an exhibitor. The conference will be held from 16 to 28 October 2026. We welcome researchers from different backgrounds to visit and share their latest ideas with us.

Micro-nano technology is a highly interdisciplinary research area that encompasses the latest research results of various fields like electronics, mechanics, materials, physics, chemistry, biology, and so on. It integrates all kinds of cutting-edge technology from design to manufacturing, testing, and application.

This conference is organized by CSMNT and co-organized by Shaoxing University, Zhejiang University, the State Key Laboratory of Sensor Technology, Hangzhou Dianzi University, and Shaoxing University of Science and Technology.

The following open access journals will be represented:

• Micromachines;
• Materials;
• Biosensors;
• Biophysica;
• Hardware;
• Sensors;
• Eng;
• Nanomaterials;
• Coatings;
• Journal of Nanotheranostics.

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://annual2026.csmnt.org.cn/?sid=6019&mid=1521&v=556.

Conference: BMES 2026 Annual Meeting
Organization: Biomedical Engineering Society
Date: 21–24 October 2026
Place: Orlando, USA

We are delighted to invite you to the 2026 BMES Annual Meeting, taking place from 21 to 24 October 2026 in Orlando, FL. This year’s theme, “Engineers Empower Human Health”, highlights the central role of biomedical engineering in enabling transformative biomedical discoveries and addressing grand challenges in health and medicine.

The meeting will feature cutting-edge engineering and translational research that drives the development of next-generation therapeutics, medical devices, and integrative diagnostics. To foster the future of biomedical engineering, we will provide meaningful opportunities for trainees to connect, collaborate, and network with leaders across academia and the industry.

The following open access journals will be represented:

• Bioengineering;
• BioMedInformatics;
• BioChem;
• Biomolecules;
• Applied Mechanics;
• Biomimetics;
• Biomechanics;
• Biosensors;
• Micromachines;
• Antioxidants;
• Sensors;
• AI in Medicine.

If you are attending the BMES 2026 Annual Meeting, we invite you to visit us at our booth #1302. Our representatives will be available to discuss publishing opportunities, the benefits of open access, and answer any questions that you may have.

Join us in Orlando to discover what is next in biomedical engineering! For more information about the conference, please visit its official website at https://www.bmes.org/2026/annualmeeting.

MDPI will be attending the 6th International Conference on Autonomous Unmanned Systems held in Harbin, China, from 18 to 20 September 2026. The conference builds a professional academic platform for experts, scholars and industry practitioners in China’s unmanned systems science, technology and engineering. It focuses on key R&D and applications of unmanned systems and the innovative development of an intelligent society, featuring high-level academic exchanges and achievement exhibitions. It shares cutting-edge concepts and research results in unmanned systems, robotics, automation and intelligent systems, addresses key bottlenecks and hot topics, promotes industrial innovation, and enhances the international influence of China’s unmanned systems technology and industry.

The following MDPI journals will be represented:

• Drones;
• Vehicles;
• AgriEngineering;
• Biomimetics;
• Acoustics;
• Sensors;
• ASI;
• Electronics;
• Aerospace;
• Automation;
• Imaging;
• Future Internet;
• Logistics;
• Technologies;
• Computers;
• Future Transportation.

If you are planning to attend the conference, please visit our booth. 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://icaus2026.scimeeting.cn/cn/web/index/34629.