Imran Rehan l Data Classification | Best Researcher Award

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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

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

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

Mingming Wu l Quantitative Magnetresonanztomographie | Research Excellence Award

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Dr. Mingming Wu l Quantitative Magnetresonanztomographie | Research Excellence Award

Technical University of Munich | Germany

Dr. Mingming Wu is a physician–scientist and radiology resident with a strong background in physics and biomedical engineering. She completed a PhD in physics focused on MR thermometry and later obtained a medical degree, combining clinical training with advanced quantitative MRI research. Her experience spans academic hospitals, international research centers, and industry collaborations. Her research interests include quantitative MRI, adipose tissue imaging, MR thermometry, and AI-based image analysis. She has authored numerous high-impact publications and book chapters. Her work has been recognized with prestigious fellowships, merit awards, and competitive research grants, reflecting sustained excellence in translational imaging research.

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Ammar Khaleel l Reinforcement Learning | Research Excellence Award

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Mr. Ammar Khaleel l Reinforcement Learning | Research Excellence Award

Széchenyi István Egyetem | Hungary

Mr. Ammar Khaleel PhD-level researcher in computer science with ongoing doctoral training, focusing on reinforcement learning–based decision making for autonomous vehicles. Experience includes designing, training, and evaluating deep reinforcement learning and control algorithms for autonomous driving, particularly lane-changing, within large-scale traffic simulations using SUMO and the TraCI Python API. Research interests span reinforcement learning, deep learning, model predictive control, intelligent transportation systems, and traffic modeling. Technical expertise covers Python, C/C++, simulation frameworks, and reproducible research workflows. Academic contributions emphasize simulation-driven experimentation and algorithmic innovation; no formal awards are listed. Overall, the work aims to advance safe, efficient, and intelligent mobility systems.

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A Multi-Levels RNG Permutation

– Indonesian Journal of Electrical Engineering and Computer Science, 2019

A New Permutation Method for Sequence of Order 28

– Journal of Theoretical and Applied Information Technology, 2019

N/A and Signature Analysis for Malwares Detection and Removal

– Indian Journal of Science and Technology, 2019

Jixing Peng l Nutritional Evaluation of Aquatic Products | Research Excellence Award

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Assoc. Prof. Dr. Jixing Peng l Nutritional Evaluation of Aquatic Products | Research Excellence Award

 Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences | China

Jixing Peng is an associate researcher at the Yellow Sea Fisheries Research Institute, Chinese Academy of Fisheries Sciences. Education: Jixing Peng earned a PhD in pharmaceutical chemistry from Ocean University of China in 2015. Professional experience: Since joining the institute, Jixing Peng has presided over or participated in more than 10 national and provincial projects, including National Key R&D Program and NSFC Youth Fund projects. Research interests: nutritional quality evaluation of aquatic products and bioactive natural products from marine organisms. Research skills: chemical analysis, bioactivity evaluation, natural product isolation, and standard development. Awards and honors: over 20 SCI papers (8 first-authored), 5 invention patents, and 5 national/agricultural industry standards. Conclusion: Jixing Peng contributes significantly to marine food science and fisheries innovation.

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Ibrahim Momoh-Bello Omiogbemi l Engineering | Worldwide Excellence in Research Analytics Advancement Award

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Assist. Prof. Dr. Ibrahim Momoh-Bello Omiogbemi l Engineering | Worldwide Excellence in Research Analytics Advancement Award

Nile University of Nigeria | Nigeria

Assist. Prof. Dr. Ibrahim Momoh-Bello Omiogbemi is a Mechanical Engineering academic and researcher with over eight years of teaching, research, and industry experience in materials, production, and welding engineering. He holds a Ph.D., M.Sc., and B.Eng. in Mechanical/Materials and Production Engineering, complemented by certifications in project management, leadership, health and safety, and management. He has served in reputable institutions including Nile University of Nigeria and the Air Force Institute of Technology. His research focuses on welding electrodes, duplex stainless steels, corrosion, and mechanical behavior of engineering materials. He is a recipient of multiple international awards, fellowships, and scholarships, reflecting his strong commitment to impactful research, innovation, and capacity building in engineering education and applied materials science.

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Michele Matera l Vector Control | Research Excellence Award

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Mr. Michele Matera l Vector Control | Research Excellence Award

Liverpool School of Tropical Medicine | Germany

Michele Matera is a PhD student at the Liverpool School of Tropical Medicine, specializing in innovative control of urban malaria vectors. Michele Matera earned his Bachelor’s in Agro-Industrial Biotechnology and Master’s in Biotechnology and Genomics for the Industry and the Environment from Sapienza University of Rome, including an Erasmus+ Traineeship at the Institute for Molecular Biology and Biotechnology in Crete, Greece. Michele Matera has extensive experience in vector control through his thesis projects and professional work. His research interests include vector biology, genomic approaches, and sustainable disease control. Michele Matera is skilled in molecular biology, genomics, and applied entomology and has been recognized for academic excellence and innovation.

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Susceptibility of Anopheles stephensi SDA500 Strain to Common Insecticides and Efficacy of Glazed Tile Bioassay for Resistance Characterization


Current Research in Parasitology & Vector-Borne Diseases, 2026
| Michele Matera, Melanie Nolden, Sebastian Horstmann, Derric Nimmo, Mark J.I. Paine, David Weetman

 

Integrated De Novo Transcriptome of Culex pipiens Mosquito Larvae as a Resource for Genetic Control Strategies


Scientific Data, 2024
| Mastrantonio, V.; Libro, P.; Di Martino, J.; Matera, M.; Bellini, R.; Castrignanò, T.; Urbanelli, S.; Porretta, D.

 

Mohd Faizan l Diagnostic Analytics | Research Excellence Award

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Mr. Mohd Faizan l Diagnostic Analytics | Research Excellence Award

University of Lille | France

Mohd Faizan is a PhD Candidate in Control Systems at the University of Lille, France, specializing in resilience control, fault-tolerant systems, power electronics, and DC microgrids. He holds an M.Tech and B.E. in Electrical Engineering from Aligarh Muslim University with first-class distinction. His professional experience includes PhD research at CRIStAL Laboratory on RTTR-based performance degradation prediction and prior research at NTUST, Taiwan, on LSTM-based PV fault detection. His research interests span resilience control, fault diagnosis, DC microgrids, and ML for control, supported by strong skills in MATLAB, Python, power converters, and hardware prototyping. He has received multiple scholarships, academic honors, and IEEE publications, positioning him for impactful research and engineering roles.

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Online Estimation of Remaining Time to Recovery to Enhance Resilience Using Bond Graph Based Power Loss Estimation


IFAC Journal of Systems and Control, 2026
| Mohd Faizan, Mahdi Boukerdja, Anne Lise Gehin, Belkacem Ould Bouamama, Sumit Sood

Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach


IEEE Access, 2025
| Avinash Mishra, Sanjoy Mandal, Jean-Yves Dieulot, Mrinal R. Bachute, Mohd Faizan et al.

Long Short-Term Memory-Based Feedforward Neural Network Algorithm for Photovoltaic Fault Detection Under Irradiance Conditions


IEEE Transactions on Instrumentation and Measurement, 2024
| Nien-Che Yang, Mohd Faizan

 

Design of 31-Level Asymmetrical Inverter With Reduced Components


International Journal of Circuit Theory and Applications, 2022

Design of Single Phase Five Level Packed U-Cell Inverter for Standalone and Grid Connected Modes


IEEE SEFET 2022 – International Conference on Sustainable Energy and Future Electric Transportation

Sooyoun Lee l Data Analysis Software | Women Researcher Award

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Dr. Sooyoun Lee l Data Analysis Software | Women Researcher Award

National Institute of Health | South Korea

Dr. Sooyoun Lee is a Research Assistant Professor at Ajou University’s Bio-AI Center, specializing in bioinformatics, biomedical science, and computational biology. She holds a PhD in Bioinformatics from Seoul National University and an M.S. in Biomedical Science from Ajou University. Her research focuses on multi-omics data analysis, cancer genomics, precision medicine, and AI-driven drug repositioning. Dr. Lee has extensive experience in bioinformatics tool development, transcriptome analysis, and proteogenomics, with numerous high-impact publications and patents. Her work bridges computational methods and medical applications, advancing personalized healthcare solutions and integrative approaches in biomedical research.

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Esther Babatunde l Data Analysis Software | Research Excellence Award

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Dr. Esther Babatunde l Data Analysis Software | Research Excellence Award

 University of Ilorin | Nigeria

Dr. Esther Babatunde is a Senior Lecturer and Postdoctoral Research Fellow specializing in chemical engineering with expertise in renewable energy, biomass and solid waste management, clean fuel reaction engineering, and process optimization. She earned her PhD and M.Eng. from the Federal University of Technology, Minna, and B.Tech. from Ladoke Akintola University of Technology. With extensive teaching and research experience, she has contributed to sustainable energy solutions and process innovations. Dr. Babatunde has received multiple awards, including the Global Excellence Stature Award and Q1 Publications Award. Her work bridges academia and industry, advancing clean energy technologies and chemical engineering research.

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