Announcements

We are pleased to announce that the Young Women in Engineering Award is open for nominations. This award was established to acknowledge the achievements of young women investigators in the field of engineering and to inspire young women to consider research and careers in engineering. All the nominations will be assessed by an Award Evaluation Committee, and winners will be announced online on 8 March 2026.

Prizes:

• CHF 1000;
• An electronic certificate;
• A voucher to waive the article processing charges (APCs) for one submission to a journal within the field of engineering (subject to peer review)—valid for one year.

Number of winners: 2.

Eligibility and requirements:

• This role is designated for female candidates;
• Must have received their Ph.D. no more than 10 years prior to 31 December 2025;
• Must have produced groundbreaking research and made a significant contribution to the advancement of engineering;
• Must be nominated by senior scientists.

List of documents for nomination:

• Detailed curriculum vitae, including an updated publication list and a list of the researcher’s own research grants;
• Scanned copy of doctorate certificate;
• Signed nomination letters from two established senior scientists.

Schedule:

Open for nominations: 23 June 2025;
Nomination deadline: 30 November 2025;
Winner announcement: 8 March 2026.

Nominations and contact:

All nomination materials and award-related communications must be submitted via our official email: ywe-award@mdpi.com.

Please do not hesitate to contact us if you have any questions. We look forward to receiving your nominations.

Young Women in Engineering Award Team

Understanding the long-term behavior of complex systems far from equilibrium remains one of the central challenges in nonlinear science. This workshop brings together recent advances in the study of non-equilibrium dynamics and weak chaos in both Hamiltonian many-body systems and externally driven (non-autonomous) models. Topics will include ergodicity breaking, metastable and quasi-stationary states, energy localization, and anomalous transport, as well as the use of diagnostic tools such as Lyapunov exponents and SALI to characterize dynamical behavior. Particular emphasis will be placed on systems with long-range interactions and mean-field models that exhibit integrable-like features in the thermodynamic limit, and on periodically forced systems where scattering, resonance, and sensitivity to external parameters play key roles in trajectory evolution. By exploring the interplay between structure, stability, and weak forms of chaos, this workshop aims to deepen our understanding of how order and unpredictability coexist in nonlinear dynamical systems. We invite researchers working across mathematical physics, dynamical systems theory, and computational modelling to attend, with the goal of fostering interdisciplinary dialogue and identifying new directions for exploration.

Keywords: non-equilibrium dynamic; weak chaos; Hamiltonian systems; externally perturbed systems; chaotic dynamics; Lyapunov exponents; smaller alignment index (SALI); chaotic indicators; mappings

Date: 7 July 2025 | 2:00 p.m. CEST | 8:00 p.m. CST Asia | 8:00 a.m. EDT
Webinar ID: 843 5663 2066
Website: https://sciforum.net/event/Mathematics-18

Register now for free!

After registering, you will receive a confirmation email 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 for viewing.

Webinar Chair and Keynote Speakers:

• Dr. Chris Antonopoulos, School of Mathematics, Statistics and Actuarial Science (SMSAS), University of Essex, Essex, UK;
• Prof. Dr. Jesús M. Seoane, Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Madrid, Spain;
• Dr. Juan C. Vallejo, Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Madrid, Spain;
• Dr. Helen Christodoulidi, School of Mathematics and Physics, University of Lincoln, Lincoln, UK.

We are delighted to announce that MDPI will be participating as an exhibitor in the 6th Big Data and Artificial Intelligence Science Conference, organized by the China Society for Industrial and Applied Mathematics (CSIAM). This event provides a platform for researchers to share insights, explore cutting-edge advancements, address pressing challenges, and envision future opportunities in the rapidly evolving fields of big data and artificial intelligence.

The conference will feature a diverse range of activities, including presentations, thematic seminars, and special forums. Key topics will include innovative theories and methodologies in big data and AI, such as high-dimensional data processing, advanced AI algorithms, geometric deep learning, large model security, data privacy protection, and more.

The following MDPI journals will be represented at the conference:

• Mathematics;
• Informatics;
• Information;
• AI;
• Algorithms;
• Axioms;
• BioMedInformatics;
• Data;
• Stats;
• International Journal of Topology;
• JCP;
• MCA.

We warmly invite researchers and professionals attending the conference to visit our booth, initiate meaningful conversations, and connect with our team. Our representatives are eager to meet you in person and provide any information or answers you may need during the event.

For more details about the conference, including its program and committee, please visit the official website: http://bdai2025.icrp.xjtu.edu.cn/123227712/index?pageId=123227769.

We are pleased to share that Mathematics (ISSN: 2227-7390) has received an increased CiteScore of 4.6 in June 2025. The CiteScore ranks the journal 32 out of 414 titles (Q1) in the “General Mathematics” category, an impressive achievement for a journal running in Volume 13.

You can find more statistics on our website.

The current CiteScores measure the average number of citations within a journal over a four-year window (2021–2024). The Scopus database provides a comprehensive suite of metrics that support informed publishing strategies, research evaluation and enable benchmarking of journal performance.

This achievement reflects the collective efforts of our authors, reviewers, and editors. Together we will continue to track the progress of Mathematics and its growing impact in mathematical research.

Prof. Dr. Vladica Stojanović is a full professor at the Department of Informatics and Computer Sciences of the University of Criminal Investigation and Police Studies in Belgrade, Serbia. He completed his undergraduate and master's studies at the Department of Mathematics of the Faculty of Science in Niš and received his Ph.D. at the Department of Mathematics of the Faculty of Science in Kosovska Mitrovica. His main research interests are in the field of applied mathematics, primarily statistics, probability theory, time series analysis, and data analytics. In 2023, he received the award for outstanding reviewer for the journal Mathematics, and in 2025, he has received two more awards for the journals Mathematics and Axioms. 

Name: Prof. Dr. Vladica Stojanović
Affiliation: Department of Informatics and Computer Sciences, University of Criminal Investigation and Police Studies, Cara Dušana Street 196, Belgrade, Serbia
Research interests: statistics; probability theory; time series analysis; data analytics; applied mathematics; computing in mathematics and natural science 

The following is a short interview with Prof. Dr. Vladica Stojanović:

1. How do you feel about winning the award?
The role of reviewer has always been interesting to me. I try to keep up with what people are working on, which helps me learn, and I enjoy helping my colleagues improve their papers with my advice. I have reviewed 141 papers for MDPI. This is the second time I have won the award. The first time, I did not expect it since I had just started reviewing. I made sure to be as precise, clear, and illustrative as possible in my reviews.

2. What is the average time to write a review?
There is no specific rule. It takes a few days to really focus on a paper, but it varies. Some papers are easy to read and review, while others are more enjoyable, and some are harder to understand. In those cases, I need to search for additional sources to learn more myself.

3. How often would you like to review?
I sign up for reviews myself and am happy to be invited as often as needed. Since winning this award, I have been getting more invitations to review, but that is perfectly fine with me. 

4. How do you manage to write detailed and efficient reviews quickly? What are the key points for reviews to be outstanding?
Deadlines are not long, so I treat reviewing as an interesting hobby between my teaching and other responsibilities. The key is to love what you do; if you love your job, it does not feel like work at all. It is very fulfilling, and I would recommend it to other scientists, as it is a great way to stay informed about current research and upcoming papers that could be helpful. 

5. Can you recommend hot topics?
I completed my Ph.D. on time series, a specialized area within statistics and probability theory, which is always relevant. My colleagues are leaning toward artificial intelligence, and my field has a lot of applications there as well. I would recommend topics related to applied mathematics, especially those related to software implementations or security. 

6. What do you think about OA (Open Access)?
I support open access because of the speed; it is easier for scientists to quickly know where they stand. Mathematics is one of my favorite journals, which is why I have reviewed the most papers there. It offers a wide range of topics, is highly ranked, publishes quickly, and has great visibility. I rarely choose journals outside MDPI nowadays. I also think the deadline for reviewers could be a bit longer; while I am used to the current deadlines, some papers are quite long.

7. Do you have any suggestions?
I have no further suggestions. I am a Guest Editor for the journal Axioms, and the first Special Issue was a great success. I may open a Special Issue in Mathematics in the future, as I am working on a new mathematical model for analyzing the dynamics of criminal activity.

Organized by Shanghai Jiao Tong University, China, the 2025 2nd International Conference on Computer Vision, Robotics and Automation Engineering will be held from 27 to 29 June 2025 in Shanghai, China.

This conference aims to serve as a platform for academic exchanges between specialists and scholars in computer vision, robotics and automation engineering, addressing the key challenges and research directions in this field. It seeks to promote the development and application of relevant theories and technologies in universities and enterprises and provide scholars, engineers and industry experts with the opportunity to present new ideas and research results.

The following MDPI journals will be represented at the conference:

• Symmetry;
• Algorithms;
• Mathematics;
• Signals.

If you are planning to attend this conference, please feel free to visit our booth and talk to our representatives. We look forward to meeting you in person and answering any questions that you may have. For more information about this event, please visit the official website via https://www.ic-crae.org/.

MDPI will be attending the 3rd Joint Conference on Statistics and Data Science in China as an exhibitor. We warmly welcome researchers from diverse backgrounds to visit our booth and share their latest ideas.

The conference is hosted by the Data Science Research Centre at Zhejiang University. It will feature nearly 160 academic presentations and is expected to attract over 2,000 participants. The event will include a variety of formats, such as conference presentations, invited talks, contributed presentations, academic poster sessions, corporate booths, and talent recruitment opportunities. This conference aims to showcase new ideas, technologies, and advancements in the fields of statistics and data science from multiple perspectives and in a comprehensive manner.

The following MDPI journals will be represented at the conference:

• Mathematics;
• Axioms;
• Data;
• Stats;
• Algorithms;
• Analytics;
• Big Data and Cognitive Computing;
• Computation;
• Forecasting;
• AppliedMath;
• Machine Learning and Knowledge Extraction.

We are thrilled to share the updated Exceptional Reviewers List for 2025. This program is designed to recognize and honor scholars who have delivered consistently exceptional review reports to our journal. Committed to fostering rigorous research and promoting knowledge exchange, Mathematics (ISSN: 2227-7390) recognizes its reviewers' significant role in maintaining the quality and integrity of all published articles. Based on survey statistics from 2024, 92% of our authors rate the peer review process as good or excellent, thanks to our pool of excellent reviewers.

We would like to express our sincere appreciation to all of the reviewers who have generously volunteered their time and expertise to assist in the peer review process for Mathematics. Their dedication and attention to detail in evaluating manuscripts, offering valuable feedback, and contributing to academic rigor are truly commendable.

Each quarter, we will be selecting a group of outstanding reviewers and introducing them here, as part of the Exceptional Reviewers List, as follows:

Q2
Name: Dr. Cristian Felipe Jiménez-Varón
Affiliation: University of York, UK

Name: Dr. Bo Yu
Affiliation: Hunan University of Technology, China

Name: Dr. Rui Zhong
Affiliation: Hokkaido University, Japan

Name: Dr. Christian Budde
Affiliation: University of the Free State, South Africa

Name: Dr. Thodsaporn Kumduang
Affiliation: Rajamangala University of Technology Rattanakosin, Thailand

Name: Dr. Wei Ju
Affiliation: Peking University, China

Name: Dr. Roman Chertovskih
Affiliation: University of Porto, Portugal

Name: Dr. Lin Ge
Affiliation: Indiana University Bloomington, United States

Name: Dr. Samadhan A. Pawar
Affiliation: University of Toronto Institute for Aerospace Studies, Canada

Name: Dr. Charles Dunkl
Affiliation: University of Virginia, United States

Name: Dr. Liang Wang
Affiliation: Yunnan Normal University, China

Name: Dr. Gianluca Fabiani
Affiliation: Johns Hopkins University, Baltimore, United States

Name: Dr. Daniele Ritelli
Affiliation: University of Bologna, Italy

Name: Dr. Vladica Stojanović
Affiliation: University of Criminal Investigation and Police Studies, Serbia

See what our reviewers have to say about the review process of Mathematics：

“Reviewing for MDPI has sharpened my critical analysis skills while allowing me to contribute to rigorous, timely peer review. Each manuscript offers new insights, fostering mutual learning.”—Dr. Liang Wang

“Though I reviewed only a few manuscripts, I approached each with care and critical attention. As I see it: An award for reviewing is a curious thing - like applauding the referee rather than the game. Yet, rigorous critique is the hidden engine of progress, even if it goes unnoticed."—Dr. Gianluca Fabiani

“My review experience: 1) Be respectful; 2) Be constructive; 3) Request authors to provide a minimal overview of the topic, along with general bibliographic references in addition to the specialized ones; 4) Review the bibliography to determine whether the cited authors have published additional work on the subject of the paper that has not been previously reported; 5) Utilize databases in the field of mathematics, employing the paper's keywords to verify the originality of the manuscript.”—Dr. Daniele Ritelli

“The role of reviewer is interesting; it helps both learning and further development. It is very fulfilling, and a great way to stay informed about current research and upcoming works that might be useful.”—Dr. Vladica Stojanović

Q1
Name: Dr. Yang Liu
Affiliation: Beihang University, China

Name: Dr. Raul Matsushita
Affiliation: University of Brasilia, Brazil

Name: Dr. Zhijia Wang
Affiliation: Guangzhou University, China

Name: Dr. Weican Li
Affiliation: Brown University, United States

Name: Dr. Tsvetelin S. Zaevski
Affiliation: Bulgarian Academy of Sciences, Bulgaria

Name: Dr. Qingan Qiu
Affiliation: Beijing Institute of Technology, China

Name: Dr. Paulo Jefferson Dias De Oliveira Evald
Affiliation: Federal University of Pelotas, Brazil

Name: Dr. Mark A. Coletti
Affiliation: Oak Ridge National Laboratory, United States

Name: Dr. Claudio Lupi
Affiliation: University of Molise, Italy

Name: Dr. Ting Fung Ma
Affiliation: University of South Carolina, United States

Name: Dr. Tomasz Krzywicki
Affiliation: University of Warmia and Mazury, Poland

Name: Dr. Rafael Henrique Palma Lima
Affiliation: Federal University of Technology—Parana, Brazil

Name: Dr. Keke Shang
Affiliation: Nanjing University, China

Name: Dr. José Fernando Fontanari
Affiliation: Universidade de São Paulo, Brazil

Name: Dr. Kristina P. Sinaga
Affiliation: Istituto di scienza e tecnologie dell'informazione “Alessandro Faedo” (ISTI), Italy

See what our reviewers have to say about Mathematics’ peer review process:

“As a reviewer for the prestigious journal Mathematics, I frequently assessed original and high-value research that supports global scientific research at the highest level.”—Dr. Tomasz Krzywicki

“My experience reviewing for Mathematics has been very good, because the review process and systems are well organized and optimized to make reviewing fast and pleasant.”—Dr. Rafael Henrique Palma Lima

“I have published in top journals including PRE, Chaos, and NJP, averaging over 40 citations per article. My peer review experience with Mathematics shows that its standards match those of leading traditional publications.”—Dr. Keke Shang

“Clear conditions for rejection, which exclude well-done original work regardless of subjective opinions on topic interest, greatly facilitate the reviewer's work.”—Dr. José Fernando Fontanari

“Rigorous peer review advances scientific integrity. I focus on methodological soundness and theoretical foundations while providing constructive feedback that helps authors improve their work and contributes to mathematical knowledge advancement.”—Dr. Kristina P. Sinaga

Conference: The 29th International Conference on Statistical Physics—StatPhys29
Date: 13–18 July 2025
Location: Florence, Italy

MDPI will be attending StatPhys29 as an exhibitor, which will be held from 13 to 18 July 2025. We welcome researchers from diverse backgrounds to attend and share their latest ideas with us.

The Statistical Physics (C3) Commission of the International Union of Pure and Applied Physics (IUPAP) has entrusted the organization of StatPhys29 to the Italian Society of Statistical Physics.  Held every three years, StatPhys29 is the most prestigious event in the global statistical physics community. The conference serves as an interdisciplinary forum for cutting-edge research, spanning fundamental methods and applications in fields such as biophysics, quantum technologies, economics, and finance. StatPhys29 serves as the premier gathering for the global statistical physics community and your participation will significantly contribute to the scientific discourse and enhance the conference’s intellectual impact.

The following MDPI journals will be represented at the conference:

• Entropy;
• Biophysica;
• Axioms;
• Condensed Matter;
• Dynamics;
• Fluids;
• Foundations;
• Particles;
• Plasma;
• Physics;
• Quantum Reports;
• Modern Mathematical Physics;
• Liquids;
• Mathematics.

If you are planning to attend the above conference, please do not hesitate to start conversation with us. Our delegates look forward to meeting you in person at the booth and answering any questions that you may have. For more information about the conference, please visit the following website: https://statphys29.org/.