Wenyan Wu | Modeling | Best Researcher Award

Published on 18/10/202518/10/2025 by Composite Awards

Wenyan Wu | Modeling | Best Researcher Award

Dr. Wenyan Wu at Guangdong University of Technology | China

Dr. Wenyan Wu is an emerging researcher whose work focuses on the intersection of artificial intelligence, multimodal learning, and intelligent systems with applications in emotion recognition, sentiment analysis, and human-computer interaction. Since creating her ORCID record in August 2022, Dr. Wu has actively contributed to advancing research in cross-modal data analysis, integrating deep learning frameworks with cognitive and affective computing techniques. Her recent publication, “Modality-Enhanced Multimodal Integrated Fusion Attention Model for Sentiment Analysis” (Applied Sciences, 2025), introduces a novel attention-based fusion approach to improve sentiment analysis accuracy by effectively capturing inter-modal dependencies across text, audio, and visual cues. In “Collaborative Analysis of Learners’ Emotional States Based on Cross-Modal Higher-Order Reasoning” (Applied Sciences, 2024), Dr. Wu explores emotion-aware learning environments, presenting innovative reasoning mechanisms for identifying and analyzing learners’ affective states to enhance adaptive education systems. Her research on “Mask-Wearing Detection in Complex Environments Based on Improved YOLOv7” (Applied Sciences, 2024) demonstrates her interdisciplinary expertise, combining computer vision and deep neural networks to address real-world safety monitoring challenges. Earlier, her foundational study, “A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era” (Applied Sciences, 2022), laid the groundwork for her later research by proposing an integrated model for data collaboration across modalities in intelligent environments. Dr. Wu’s scholarly output reflects her strong analytical and technical acumen, emphasizing multimodal integration, attention mechanisms, and deep learning optimization. Her contributions not only advance theoretical understanding but also provide practical frameworks for developing emotionally intelligent and context-aware AI systems, bridging the gap between computational models and human-centered design in modern intelligent applications.

Profile: Orcid

Featured Publications

Zhang, Z., Wu, W., Yuan, T., & Feng, G. (2025). Modality-enhanced multimodal integrated fusion attention model for sentiment analysis. Applied Sciences, 15(19), 10825.

Wu, W., Zhao, J., Shen, X., & Feng, G. (2024). Collaborative analysis of learners’ emotional states based on cross-modal higher-order reasoning. Applied Sciences, 14(13), 5513.

Feng, G., Yang, Q., Tang, C., Liu, Y., Wu, X., & Wu, W. (2024). Mask-wearing detection in complex environments based on improved YOLOv7. Applied Sciences, 14(9), 3606.

Wu, W., Hu, Q., Feng, G., & He, Y. (2022). A novel method for cross-modal collaborative analysis and evaluation in the intelligence era. Applied Sciences, 13(1), 163.

Memet Şahin | Modeling | Best Researcher Award

Published on 11/07/202511/07/2025 by Composite Awards

Memet Şahin | Modeling | Best Researcher Award

Prof. Dr. Memet Şahin, Gaziantep University, Turkey.

Prof. Dr. Memet Şahin 🎓 is a distinguished academic in mathematics, specializing in algebra, mathematical logic, and fuzzy measures. He earned his Ph.D. in Mathematics from Karadeniz Technical University in 2004, with a focus on generalized 963-algebras and fuzzy measures. His academic career spans over three decades, primarily at Gaziantep University 📘, where he has served in various roles from Research Assistant to Professor. A dedicated educator and researcher, Prof. Şahin has significantly contributed to the field of functional analysis, algebraic structures, and logic. His passion for mathematics and education continues to inspire students and fellow scholars alike. 🔍📚

Publication Profiles

Google Scholar

Education & Experience

👨‍🏫 Teaching & Academic Roles:

Instructor & Guest Lecturer, University of Cyprus 📚
Secondary Education Teacher, Greece (Geology, Physics, Chemistry, Math) 👨‍🏫
Lab Supervisor & Seminar Leader for Corrosion & Materials Science 🧫

Suitability for the Award

Prof. Dr. Memet Şahin, a prominent scholar at Gaziantep University, is highly suitable for the Best Researcher Award due to his profound and sustained contributions to mathematics, especially in the fields of algebra, mathematical logic, and fuzzy systems. His research over more than 30 years has significantly advanced foundational mathematics and inspired academic inquiry in both theoretical and applied domains.

Professional Development

Prof. Dr. Memet Şahin has continually advanced his professional career through rigorous academic involvement and interdisciplinary study 📘. Beginning as a Research Assistant in the early 90s, he steadily progressed through academic ranks to attain full professorship by 2020 🎓. His background uniquely combines mathematics and law, demonstrating a broad intellectual horizon ⚖️🧠. Throughout his career at Gaziantep University, he has actively contributed to curriculum development, research mentoring, and publication in high-impact journals. His experience across multiple mathematical subfields and openness to interdisciplinary dialogue underline his dedication to lifelong learning and academic leadership 🌟📖.

Research Focus

Prof. Şahin’s research primarily focuses on algebraic structures, particularly generalized algebras (F-algebras, D-algebras, 963-algebras) and mathematical logic 🤖. He has delved deeply into functional analysis and fuzzy measure theory 🌫️, bridging abstract mathematical theory with real-world applications. His work often intersects set theory, logic, and algebraic frameworks, contributing valuable insights into the foundations of mathematics 📐. Additionally, his studies explore mathematical modeling in complex systems where logical structures and uncertainty are key. His contributions enhance the mathematical understanding of fuzzy logic systems and algebraic generalizations. 🔍📊

Awards & Honors

🏅 Promotion to Full Professorship – Gaziantep University (2020)
🥇 Recognized for Outstanding Service in Mathematical Education – Gaziantep University
🎖️ Honored for Contributions to Algebraic Logic and Functional Analysis Research
📜 Multiple student-supervised theses accepted with distinction
📚 Acknowledged for Interdisciplinary Achievement in Justice and Mathematics

Publication Top Noted

Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making – 220 citations, 2018 ⚖️
Neutrosophic soft expert sets – 137 citations, 2015 👥
Neutrosophic Sets: An Overview – 125 citations, 2018 📚
Neutrosophic triplet G-module – 99 citations, 2018 📐
Generalized Neutrosophic Soft Expert Set For Multiple-Criteria Decision Making – 89 citations, 2019 🧮
A new approach for multi-attribute decision-making problems in bipolar neutrosophic sets – 89 citations, 2018 🧭
Neutrosophic triplet normed space – 84 citations, 2017 🧱
A new similarity measure based on falsity value between single valued neutrosophic sets… – 81 citations, 2017 🔍

Jacques Demongeot | Biomathematics | Lifetime achievement Award

Published on 19/10/202419/10/2024 by Composite Awards

Jacques Demongeot | Biomathematics | Lifetime achievement Award

Prof. Jacques Demongeot, University Grenoble Alpes, France.

Jacques Demongeot is a renowned French mathematician and medical researcher born in 1946 in Dijon, France. With an impressive career spanning over five decades, he has significantly contributed to biomathematics, biostatistics, and medical informatics. He is currently a Lifetime Emeritus Professor at the University of Grenoble Alpes, where he led groundbreaking research in medical technologies. His work has fostered international collaborations and impacted various fields like medical engineering and health technologies. Demongeot has published over 500 research papers, holds numerous patents, and has been recognized globally for his scientific contributions.

Publication profile

Orcid

Googlescholar

Education and Experience

B.Sc. in Mathematics – University of Dijon (1966)
M.Sc. in Mathematics – University Joseph Fourier of Grenoble (1970)
Second Lieutenant Diploma – Artillery School EAA, France (1968)
Ph.D. in Computer Science – UJF Grenoble (1974)
M.D. in Medicine – UJF Grenoble (1978)
D.Sc. in Mathematics – UJF Grenoble (1983)
Agrégation in Medicine – Ministry of National Education (1984)
Professor and Head of Biostatistics at University Hospital Grenoble (1985-2022)
Director of TIM3, TIMC, and TIMC-IMAG labs (1986-2011)

Suitability for The Award

Dr. Jacques Demongeot’s illustrious career, spanning over five decades, exemplifies exceptional contributions to mathematics, biostatistics, and medical informatics. His extensive research output, leadership roles, and commitment to education and mentorship position him as a highly deserving candidate for the Lifetime Achievement Award.

Professional Development ()

Jacques Demongeot’s professional development is marked by leadership roles in pioneering medical and mathematical research, with an interdisciplinary approach that combines AI, biostatistics, and medical informatics. He led the creation of major scientific initiatives, such as the TIMC laboratory, and directed groundbreaking programs like “Technologies for Health” in France. His leadership extended to global collaborations in mathematical biology, mentoring over 100 Ph.D. and MD students worldwide. Demongeot’s passion for applying biomathematics to medical engineering has shaped future healthcare technologies, making him an influential figure in both research and education.

Research Focus

Jacques Demongeot’s research focus spans a variety of interdisciplinary fields, including biomathematics, medical informatics, and health technologies. He has contributed significantly to the modeling of complex systems in biology, such as brain stroke rehabilitation, AI applications in elderly care, and the intersection of computer science with health. His innovative work on home surveillance systems for dependent people and the mathematical modeling of biological processes has helped bridge the gap between theoretical biology and practical healthcare solutions. Demongeot’s research emphasizes improving public health through technology and bioengineering.

Awards and Honors ()

Victoires de la Médecine – CHU National Network (1989)
Trophée National de l’Innovation – INPI (2001)
Honorary Senior Member – Institut Universitaire de France (1994-2004)
Foreign Fellow – Academy of Sciences of Chile (2000)
Fellow IAMBE – International Academy of Medical and Biological Engineering (2012)
Fellow – The Third Way Group (2020

Publication

René Thom and His Impact on Modeling in Biology – J Demongeot (2024)
The Relevance of René Thom: The Morphological Dimension in Today’s Sciences – J Demongeot (2024)
Forecasting the changes between endemic and epidemic phases of a contagious disease, with the example of COVID-19 – J Demongeot, P Magal, K Oshinubi (2024)
Information Gradient among Nucleotide Sequences of Essential RNAs from an Evolutionary Perspective – HB Khalfallah, M Jelassi, H Rissaoui, M Barchouchi, C Baraille, J Gardes, … (2024)
Hereditary angioedema with normal C1 Inhibitor associated with Carboxypeptidase N deficiency – D Vincent, F Parsopoulou, L Martin, C Gaboriaud, J Demongeot, G Loules, … (2024)
Revolutionizing Radiological Analysis: The Future of French Language Automatic Speech Recognition in Healthcare – M Jelassi, O Jemai, J Demongeot (2024)
Enhancing Mental Health Support through Artificial Intelligence: Advances in Speech and Text Analysis within Online Therapy Platforms – M Jelassi, K Matteli, HB Khalfallah, J Demongeot (2024)
Social and Community Networks and Obesity – HB Khalfallah, M Jelassi, NBB Saoud, J Demongeot (2024)
The Mathematical Modeling of the Host–Virus Interaction in Dengue Virus Infection: A Quantitative Study – Z Xu, H Zhang, D Yang, D Wei, J Demongeot, Q Zeng (2024)