Dr. Fred Legrand Tsafack Tayong | Computational physics in biological systems | Distinguished Scientist Award

Dr. Fred Legrand Tsafack Tayong | Computational physics in biological systems | Distinguished Scientist Award

Faculty of Science – University of Douala, Cameroon

Dr. Fred Legrand Tsafack Tayong is a theoretical physicist specializing in nonlinear dynamics and complex systems, currently affiliated with the Fundamental Physics Laboratory, Department of Physics, Faculty of Science, University of Douala, Cameroon. He earned his PhD in Theoretical Physics from the University of Douala after completing his Master’s and Bachelor’s degrees in Physics at the same institution. His academic training is strongly grounded in mathematical modeling, analytical methods, and numerical simulations of nonlinear systems. Dr. Tsafack Tayong’s research focuses on nonlinear dynamics and chaos, van der Pol–type oscillators, stochastic dynamics, circadian rhythm modeling, and the application of nonlinear electronics concepts to biological systems. His doctoral research explored stochastic dynamics and entrainment phenomena in sleep–wake cycle models, contributing to a deeper understanding of biological oscillators under the influence of light and noise. He has published several peer-reviewed articles in reputable international journals, including Brazilian Journal of Physics, Nonlinear Dynamics, and Chaos, Solitons & Fractals, and actively collaborates with international researchers. Through his scientific contributions and conference presentations, he has gained academic recognition within the field of nonlinear physics. Dr. Tsafack Tayong continues to advance research at the interface of physics and biology, aiming to strengthen theoretical modeling approaches and foster scientific collaboration.

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Featured Publications

Shuangcheng Li l Machine Learning Applications | Research Excellence Award

Prof. Shuangcheng Li l Machine Learning Applications | Research Excellence Award

Peking University | China

Shuangcheng Li is a professor of physical geography with a doctoral background and extensive leadership in integrated land–environment research. He holds a Ph.D. and has developed a distinguished academic career as a professor, doctoral supervisor, and director of national key laboratories, leading numerous major research projects. His research interests focus on ecosystem services and human well-being, land system carbon source–sink assessment, land–climate–vegetation interactions, renewable energy impacts, and environmental health effects of climate change. His research skills include spatial analysis, ecosystem modeling, climate–land interaction analysis, interdisciplinary integration, and high-impact academic publishing, with professional recognition reflected through national leadership roles, editorial responsibilities, and influential scholarly contributions shaping physical geography research.

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Featured Publications

Land Use Impacts the Environmental Benefits of Wind Energy Farms in China

Communications Earth & Environment, 2025 · Open Access
Research on Low-Carbon, Green and High-Quality Development of Prefecture-Level Cities in Henan Province Based on LCGH Model from the Perspective of Carbon Neutrality

Acta Scientiarum Naturalium Universitatis Pekinensis, 2025
Ecological Risks and Patterns Associated With Land Use/Cover Changes Along the Belt and Road Initiative Routes

Land Degradation & Development, 2025 · 4 citations
Dynamics of Carbon Emissions in Yunnan Province: Spatiotemporal Characteristics and Influencing Factors

China Environmental Science, 2025 · 4 citations
Dynamic Responses of Soil Organic Carbon to Urbanization: A Global Perspective

Global Change Biology, 2024 · 7 citations

Akiko Morimoto l Data Analysis | Research Excellence Award

Prof. Akiko Morimoto l Data Analysis | Research Excellence Award

Osaka Metropolitan University | Japan

Prof. Akiko Morimoto is a senior academic leader and researcher in nursing informatics with a doctoral background in health sciences and extensive experience in higher education and research governance. She holds a Ph.D. in Health Sciences and has progressed through lecturer, associate professor, and professor roles, alongside senior university leadership responsibilities. Her research interests center on nursing informatics, nursing data science, evidence-based practice, cardiovascular epidemiology, and health communication. Her research skills include epidemiological analysis, health data analytics, evidence synthesis, program evaluation, and scholarly publishing, with multiple awards and national committee roles underscoring her sustained contributions to nursing science, education innovation, and evidence-based healthcare advancement.

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Featured Publications

Associations of Total Daily Working Hours Encompassing Unpaid Care and Domestic Work with Nonrestorative Sleep and Mental Health

Social Science & Medicine, 2026
Social Determinants of Health Associated with Underweight among Middle-Aged Japanese Men and Women

Frontiers of Nursing, 2025 (in press)
Current State of the Experience of Receiving Evidence-Based Practice Education

NSC Nursing, 4(4), 64–104, 2025
Development and Evaluation of a Clinical Scenario‐Based Education Program

Japan Journal of Nursing Science, 22(4), 2025
Risk for Physical Inactivity Due to Inadequate Health Literacy

Frontiers of Nursing, 2025

Yingchun Niu l Data Processing | Research Excellence Award

Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

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Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

Expert Systems with Applications, 2025

Erman Kavlu l Preventive Health Approach | Research Excellence Award

Dr. Erman Kavlu l Preventive Health Approach | Research Excellence Award

Eskişehir Osmangazi University | Turkey

Dr. Erman Kavlu is a physician–researcher specializing in public health and epidemiology with a strong focus on preventive health, aging, and mental health. Dr. Erman Kavlu received medical training and advanced academic education in public health, currently serving as a research assistant with active involvement in national and international peer-reviewed studies. Dr. Erman Kavlu has professional experience in population-based research, data analysis, and interdisciplinary health studies. Research interests include frailty, geriatric health, health and nutrition literacy, chronobiology, and psychosocial determinants of health. Research skills encompass epidemiological methods, survey design, statistical analysis, and scientific writing. Dr. Erman Kavlu has contributed to high-impact journals and scientific congresses, demonstrating academic merit and scholarly recognition. Overall, Dr. Erman Kavlu continues to contribute meaningfully to evidence-based public health research and preventive medicine.


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Featured Publications

Evaluation of the effect of resilience and general quality of life on frailty in the elderly


M Tepetaş, A Ay, E Yücel, E Kavlu, MF Önsüz, S Metintaş – European Psychiatry, 67(S1), S200 (2024)

Conhecimento e atitudes em relação a pacientes adultos com psoríase: estudo transversal da Turquia


E Kavlu, E Ağaoğlu, B Karagöz, HK Erdoğan, MF Önsüz, S Metintaş – Anais Brasileiros de Dermatologia, 100(6) (2025)

Knowledge and attitudes towards psoriasis patients among adults: a cross-sectional study from Türkiye


E Kavlu, E Ağaoğlu, B Karagöz, HK Erdoğan, MF Önsüz, S Metintaş – Anais Brasileiros de Dermatologia, 100(6) (2025)

Chronotype, eating disorders, and perceived stress among medical students in Eskişehir, Türkiye


E Kavlu, B Karagöz, D Arslantaş, A Ünsal, F Köşger – European Journal of Public Health, 35(Suppl. 4) (2025)

Bir Üniversite Hastanesine Başvuranlarda Sağlıklı Beslenmeye İlişkin Tutum ve Algılanan Gıda Okuryazarlığının Değerlendirilmesi (ESOGÜ SUAH Örneği)


OH Aydilek, D Arslantaş, A Ünsal, E Kavlu, E Yücel – Osmangazi Tıp Dergisi, 47(4), 582–592 (2025)

Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Assoc. Prof. Dr. Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Kanagawa University | Japan

Assoc. Prof. Dr. Bin Zhang is an associate professor and principal investigator specializing in intelligent machines, robotics, and AI-driven systems. Education includes a Ph.D. and M.S. in Mechanical and Intelligent Systems Engineering from The University of Electro-Communications and a B.S. in Automation. Professional experience spans academia and industry, with roles in mechanical engineering education and robotics research. Research interests focus on service robots, autonomous navigation, human–robot interaction, perception, deep learning, and assistive systems. Research skills include robot design, control, SLAM, computer vision, sensor fusion, and machine learning. Awards and honors recognize excellence in robotics, AI applications, and assistive technologies. Overall, Assoc. Prof. Dr. Bin Zhang contributes impactful research and education advancing intelligent robotic systems for society.

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Featured Publications

A Study on Improving the Accuracy of Semantic Segmentation for Autonomous Driving
Computers, Materials & Continua, 2026 · Open Access
A Quantitative Diagnosis Method for Assessing the Severity of Intake Filter Blockage of Heavy-Duty Gas Turbines Based on the Fusion of Physical Mechanisms and Deep Learning
Applied Thermal Engineering, 2025

A Performance Diagnosis Method for Full Gas-Path Components of Heavy-Duty Gas Turbines Based on Model- and Data-Hybrid Drive

Proceedings of the Chinese Society of Electrical Engineering, 2025

An End-to-End Pillar Feature-Based Neural Network Improved by Attention Modules for Object Detection of Autonomous Vehicles

IEEJ Transactions on Electrical and Electronic Engineering, 2025

2D Mapping Considering Potential Occupancy Space of Mobile Objects for a Guide Dog Robot

IEEJ Transactions on Electronics, Information and Systems, 2025

Imran Rehan l Data Classification | Best Researcher Award

Assist. Prof. Dr. Imran Rehan l Data Classification | Best Researcher Award

Gomal University | Pakistan

Assist. Prof. Dr. Imran Rehan is a physicist specializing in biophotonics with a Ph.D. in Physics and a postdoctoral focus on AI in healthcare. With over a decade of teaching and research experience, Dr. Imran Rehan integrates Raman spectroscopy, LIBS, fluorescence spectroscopy, and phase-lock-in polarimetry with machine learning to develop noninvasive, label-free diagnostic tools for diseases such as diabetes, cancer, and kidney disorders. His research emphasizes clinical spectroscopy, biomarker discovery, and optical instrumentation development. Dr. Imran Rehan has published extensively, contributed to book chapters, designed advanced spectroscopic systems, and received honors including the International Outstanding Scientist Award and Best Researcher of the Year, demonstrating impactful interdisciplinary innovation.

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Featured Publications

Machine learning assisted laser spectroscopy for simultaneous multiclass diabetes detection from blood plasma
Microchemical Journal, 2026
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
Biomedical Physics Engineering Express, 2025
A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data
Microchemical Journal, 2025
Synthesis and characterization of CNTs doped polymeric composites: comparative studies on exploring impact of CNT concentration on morphological, structural, thermokinetic and mechanical attributes
Zeitschrift Fur Physikalische Chemie, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 Diabetes
Applied Spectroscopy, 2025

Shaokai Wang l Engineering Geology | Research Excellence Award

Dr. Shaokai Wang l Engineering Geology | Research Excellence Award

North China University of Water Resources and Electric Power | China

Dr. Shaokai Wang is a geological engineering scholar with a Ph.D. in Geological Engineering and academic affiliation at North China University of Water Resources and Electric Power. With five years of teaching and research experience, Dr. Shaokai Wang has contributed to undergraduate and postgraduate instruction while advancing scientific research. His research interests focus on geological engineering, geotechnical engineering, loess geohazards, soil improvement technologies, and disaster mechanisms. He has led and participated in National Natural Science Foundation of China projects, published SCI-indexed journal articles, and developed strong research skills in field investigation, laboratory testing, numerical analysis, and academic writing. His work demonstrates sustained innovation and growing academic impact in geological engineering.

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Featured Publication

Static liquefaction capacity of saturated undisturbed loess in South Jingyang platform
Water (Switzerland), 2020

Article · Open Access · Co-authored · Citations: 11

Rodney Tatenda Muringai | Data Analysis | Research Excellence Award

Dr. Rodney Tatenda Muringai | Data Analysis | Research Excellence Award

University of Johannesburg | South Africa

Dr. Rodney Tatenda Muringai is a climate change and food security scholar with over six years of experience spanning teaching, postdoctoral research, and applied policy work. He holds a PhD, MSc, PGDip, and BSS from the University of KwaZulu-Natal, with additional training in sustainability from Beijing Normal University. His professional experience includes roles as Postdoctoral Research Fellow and Ad Hoc Lecturer at the University of Johannesburg, Research Assistant, and Ecosystem Services Analyst. Dr. Rodney Tatenda Muringai’s research interests focus on climate change adaptation, fisheries and aquaculture, livelihoods, and socio-ecological resilience, supported by strong skills in policy analysis, GIS, stakeholder engagement, and data analysis. He has received NRF, SARChI, and LIMA awards and continues to contribute impactful, policy-relevant research that advances sustainable development in Africa.

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Featured Publications

Vulnerability of inland small-scale fishing communities to climate change and variability: Insights from the Zambezi River Basin, Zimbabwe

Rodney T. Muringai, Paramu L. Mafongoya, Romano Lottering – Environment, Development and Sustainability, 2025
Living in the wild: The bidirectional impacts of human–wildlife interaction in Binga and Nyaminyami rural districts, Zimbabwe

Rodney T. Muringai, Walter Musakwa, Phindile Mthembu, Takafara Gozo – Transactions of the Royal Society of South Africa, 2025
Sub-Saharan Africa freshwater fisheries under climate change: Impacts, adaptation, and mitigation measures

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering – Fishes, 2022
Climate change perceptions, impacts and adaptation strategies: Insights from fishers in the Zambezi River Basin, Zimbabwe

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering – Sustainability, 2022
Unlocking the potential of fish to improve food and nutrition security in Sub-Saharan Africa

Rodney T. Muringai, Paramu Mafongoya, Romano T. Lottering et al. – Sustainability, 2021

Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

Dr. Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

 University of South Africa | South Africa

Fulufhelo H. Mudau, PhD (Chem) is a South African chemist and postdoctoral fellow at the University of South Africa, Institute of Nanotechnology and Water Sustainability, with strong expertise in membrane science, water treatment, and nanomaterials. She holds a PhD in Chemistry, along with an MSc in Chemistry, BSc Honours, and a BSc in Chemistry and Applied Chemistry. Her professional experience includes postdoctoral research, e-tutoring, laboratory teaching, project administration, and water and wastewater operations. Her research interests focus on ion exchange membranes, polymer–nanoparticle interactions, and sustainable water technologies, supported by strong skills in experimental design, analytical chemistry, data analysis, and academic supervision. Fulufhelo H. Mudau, PhD (Chem) has received multiple awards for innovation, research excellence, and science communication, reflecting her commitment to impactful research, education, and youth development.

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