Mehmet Merdan | Applied Mathematic | Best Academic Researcher Award

Prof. Dr. Mehmet Merdan | Applied Mathematic | Best Academic Researcher Award

Gumushane University, Turkey

Prof. Dr. Mehmet Merdan began his academic career as a lecturer at K.T.Ü. Gümüşhane Faculty of Engineering and later completed his PhD on improved Lazer-McKenna suspension bridge oscillation models, after which he joined the Department of Geomatics Engineering as an assistant professor. He then became an assistant professor in the newly established Department of Mathematical Engineering and was subsequently promoted to associate professor and later to full professor within the same department. He has held several leadership roles, including director positions at Torul Vocational School, the Institute of Natural and Applied Sciences, and Gümüşhane Vocational School of Health Services, and currently serves as head of the Department of Mathematical Engineering and dean of the Faculty of Engineering and Natural Sciences at Gümüşhane University. Prof. Dr. Merdan has authored 104 publications, including 41 indexed in the SCI-Expanded scope, and has actively contributed to numerous national and international conferences and symposia.

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Alexey Menushenkov | Condensed Matter Physics | Physics Lifetime Achievement Award

Prof. Alexey Menushenkov | Condensed Matter Physics | Physics Lifetime Achievement Award

Professor in National Research Nuclear University MEPhI, Russia

Prof. Alexey Menushenkov is a distinguished physicist whose pioneering contributions have significantly advanced the understanding of high-temperature superconductivity and condensed matter systems. Educated at Moscow Engineering Physics Institute, he developed deep expertise in solid state physics and built a long-standing academic career, progressing from researcher to professor at the same institution. His work is particularly notable for the early application of EXAFS spectroscopy to superconducting oxides, laying foundational insights ahead of major breakthroughs in the field. He proposed an unconventional model of superconductivity based on real-space pairing of charge carriers, offering an alternative to traditional BCS theory. Through extensive experimental and theoretical research, he established correlations between local atomic structure and macroscopic superconducting properties. His leadership in advanced synchrotron and free-electron laser experiments enabled direct validation of his theoretical predictions regarding charge carrier pairing. Further, he demonstrated that the pairing mechanism in BaBiO₃-based materials is electronic rather than phononic in nature, introducing new perspectives on electron correlation effects. Over his career, he has supervised numerous doctoral and master’s students, contributing to the development of future scientists. He has also led major national and international research projects and actively participated in global scientific collaborations and expert councils. With a substantial publication record, strong citation impact, and multiple scientific honors, his work represents a transformative contribution to the ongoing quest to understand the fundamental mechanisms of high-temperature superconductivity.

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Rami Ahmad El-Nabulsi | Quantum Information Processing | Quantum Research Leader Award

Prof. Dr. Rami Ahmad El-Nabulsi | Quantum Information Processing | Quantum Research Leader Award

Professor in Czech Education and Scientific Network, Czech Republic

Prof. Dr. Rami Ahmad El-Nabulsi is a distinguished theoretical physicist and applied mathematician with affiliations spanning leading international institutions, where he contributes to quantum technology, optics, and advanced scientific research. His work has earned global recognition, including repeated listing among the world’s top scientists and numerous prestigious research awards across physics, nanotechnology, oncology, and biophotonics. He has served as a reviewer for hundreds of high-impact journals and as an editorial board member for many others, reflecting his strong influence in the academic community. His research focuses on developing innovative mathematical and theoretical frameworks to better understand complex physical systems, particularly nonlinear quantum dynamics, fractal systems, and advanced materials. He has successfully applied his expertise across diverse domains such as solid-state physics, nuclear engineering, space physics, and biomedical modeling. With a strong foundation in partial differential equations, numerical analysis, and computational tools, he has introduced new models that enhance the understanding of both classical and quantum phenomena. In teaching, he emphasizes simplicity, critical thinking, and student engagement, aiming to inspire confidence and leadership in physics and mathematics. His courses span core areas of physics and advanced mathematics, supported by strong programming and computational skills. He is also an active international speaker, contributing to major global conferences and fostering interdisciplinary collaboration. His work reflects a deep commitment to bridging theoretical insights with real-world scientific challenges.

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Wen-Liang Hwang | Signal Processing | Research Excellence Award

Dr. Wen-Liang Hwang | Signal Processing | Research Excellence Award

Academia Sinica, Taiwan

Dr. Wen-Liang Hwang is a distinguished computer scientist with a Ph.D. from Courant Institute of Mathematical Sciences, along with advanced degrees in electrical engineering and nuclear engineering from leading institutions in the United States and Taiwan. He has held long-term academic positions at Academia Sinica, progressing from assistant to research fellow, equivalent to full professor, and is currently a co-founder of Explain AI. His research focuses on optimization, deep neural network analysis, time-frequency analysis, wavelets, and signal and image processing applications. Recognized internationally, he has been listed among ISI Highly Cited Researchers and received prestigious research awards for contributions to time-frequency analysis. He has served extensively as an associate editor for multiple international journals related to data science, signal processing, and wavelet theory. Dr. Hwang is a sought-after keynote and invited speaker at major global conferences across Asia, Europe, and Australia, contributing to advancements in computational science and engineering. His work bridges mathematical theory with practical applications in imaging, artificial intelligence, and data analysis. He has actively participated in interdisciplinary workshops and conferences, promoting collaboration in areas such as biomathematics, statistical physics, and digital media. Throughout his career, he has demonstrated sustained leadership in both academic research and professional service within the global scientific community.

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Erman Kibritoglu | Bioengineering | Research Excellence Award

Dr. Erman Kibritoglu | Bioengineering | Research Excellence Award

Doctoral Researcher in Bogazici University, Turkey

Dr. Erman Kibritoglu is a motivated and research-driven professional with a Ph.D. in Electrical and Electronics Engineering from Bogazici University, complemented by a multidisciplinary academic background including a master’s degree in Biomedical Engineering and a bachelor’s degree in Electrical and Electronics Engineering. His research focuses on the design and development of electromagnetic stimulation devices to accelerate bone fracture healing, reflecting a strong integration of engineering and biomedical applications. He has gained extensive experience as a researcher at Bogazici University Research Project Foundation, contributing to advanced scientific investigations. Previously, he served as a Project Manager specializing in Organic Rankine Cycle technology, where he developed engineering solutions to enhance energy efficiency in biomass, geothermal, and waste heat recovery systems. His work supported sustainable and environmentally responsible power generation across multiple regions. He also has industry experience as a Project Engineer in control and automation, where he designed and implemented advanced control systems for glass furnace operations, improving temperature precision and production consistency. His expertise includes system optimization, thermal and electrical analysis, and renewable energy integration. He has actively presented technical findings in professional settings, demonstrating strong communication and collaboration skills. With a passion for innovation and applied research, he aims to contribute to high-impact academic and technological advancements.

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Mary Ann George | Building Lighting | Research Excellence Award

Dr. Mary Ann George | Building Lighting | Research Excellence Award

Independent Researcher in Manipal Institute of Technology, India

Dr. Mary Ann George is a highly accomplished academic and researcher in Electronics and Communication Engineering, specializing in analog circuits, controllers, and intelligent control systems for applications such as electric vehicles and motor control. She holds a Ph.D. from Manipal Academy of Higher Education, along with M.Tech and B.E degrees from Manipal Institute of Technology, and has further enhanced her expertise through professional training in AI and machine learning from the Massachusetts Institute of Technology. Her research contributions include multiple high-impact journal publications in IEEE Access and other reputed journals, along with numerous international conference presentations. She has extensive teaching experience as an adjunct lecturer at institutions including the University of Wollongong in Dubai and De Montfort University Dubai, where she delivered courses across physics, electronics, control systems, and engineering computing. Her professional background also includes roles as a research assistant working on fractional order controllers and earlier academic experience mentoring engineering students and supervising projects. In addition, she has industry experience in electrical estimation and technical sales, complemented by strong technical skills in MATLAB, embedded systems, circuit design tools, artificial intelligence, and machine learning.

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Yufeng Hao | 2D Semiconductors | Outstanding Contribution Award

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Cristina Cazan | Research Excellence | Research Excellence Award

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Mohamed Ibraheem | Control System | Research Excellence Award

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Jawher Makhlouf | Chemistry | Young Scientist Award

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