Pengfei Zhou | Surface Engineering | Early Career Researcher Award

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Dr. Pengfei Zhou | Surface Engineering | Early Career Researcher Award

Guizhou University | China

Pengfei Zhou is a Special-hired Professor (Assistant Professor) at Guizhou University, specializing in materials science and electrochemical energy technologies. He obtained his Bachelor of Science in Powder Materials Science and Engineering and Master of Science in Materials Engineering from Central South University, and earned his PhD from the University of Macau. Since joining Guizhou University, his research has focused on bulk alloy materials and surface modification strategies for electrochemical energy conversion, particularly industrial-scale water splitting for sustainable hydrogen production. His work integrates alloy engineering, surface chemistry, and electrocatalysis to develop mass-producible and industrially viable catalyst systems. To date, he has published 53 peer-reviewed journal articles, including 12 as first author, achieving an h-index of 61 and accumulating 1091 citations, demonstrating strong academic impact. He has completed or is leading five research projects, participated in three consultancy or industry-sponsored projects, and holds three published or under-review patents. His scholarly contributions are well documented through recognized academic platforms, reflecting consistent research productivity and innovation. Professor Zhou continues to advance efficient hydrogen production technologies while contributing to the global effort toward clean and sustainable energy solutions.

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Yingping Zou | Advanced Materials | Research Excellence Award

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Prof. Yingping Zou | Advanced Materials | Research Excellence Award

Central South University | China

Yingping Zou is a full professor at Central South University (CSU) known for her impactful work in organic optoelectronic materials. She earned her B.S. and M.S. degrees from Xiangtan University and later completed her Ph.D. at the Institute of Chemistry, Chinese Academy of Sciences (ICCAS). Following her doctoral studies, she conducted postdoctoral research at Laval University and later carried out visiting research at Stanford University, further strengthening her expertise in advanced material design. Her research focuses on developing high-performance organic small molecules and polymers for optoelectronic devices, emphasizing molecular engineering, device physics, and sustainable energy materials. She has authored more than 300 peer-reviewed publications in top journals such as Joule, Nature Photonics, Energy & Environmental Science, Advanced Materials, and Journal of the American Chemical Society. She has received multiple recognitions for her contributions to materials chemistry and device innovation. Overall, her scientific career highlights sustained excellence in research, leadership in organic semiconductor development, and a dedication to advancing next-generation optoelectronic technologies.

Citation Metrics (Scopus)

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Citations 23663

Documents 352

h-index 65

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Mohammad Mahdavian | Corrosion Engineering | Research Excellence Award

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Prof. Mohammad Mahdavian | Corrosion Engineering | Research Excellence Award

Institute for Color Science and Technology | Iran

Mohammad Mahdavian is an accomplished Ph.D. holder in Polymer Engineering with extensive expertise in advanced polymeric protective coatings and corrosion science. With more than a decade of academic and industrial experience, he currently serves as a Professor in the Surface Coatings and Corrosion Department at the Institute for Color Science and Technology, where he has led numerous high-impact research initiatives and technological projects. His research focuses on nano-structured coatings, conversion and silane coatings, LDHs, MOFs, graphene-based materials, electrochemical corrosion mechanisms, and smart protective systems. Dr. Mahdavian has supervised numerous M.Sc. and Ph.D. students and taught specialized courses in corrosion engineering, surface coatings, and polymer science. His scholarly output includes 221 indexed scientific documents with an h-index of 66 and more than 14,012 citations, reflecting his strong global influence. He holds several international patents and has published over 200 papers in leading peer-reviewed journals. He has been honored as a top reviewer by cof Science, ranked among the world’s top 2% of scientists by Elsevier BV and Stanford University, and recognized by national science foundations for research excellence. With proven success in both academic and industrial arenas, he continues to advance innovation in corrosion-resistant coating technologies.

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Featured Publications

Mahdavian, M., & Attar, M. M. (2010). Electrochemical investigation of the anticorrosive performance of epoxy/polyamide coating containing zinc phosphate as a corrosion inhibitor. Progress in Organic Coatings, 66(3), 259–267.

Mahdavian, M., Naderi, R., & Ramezanzadeh, B. (2011). Inhibition of mild steel corrosion by imidazole derivatives: Electrochemical and surface characterization studies. Corrosion Science, 53(4), 1194–1204.

Mahdavian, M., Ashrafi, A., & Ramezanzadeh, B. (2012). Synergistic effects of sol–gel modified nanoparticles on corrosion resistance of epoxy coatings. Surface and Coatings Technology, 206(19–20), 4234–4242.

Mahdavian, M., Shokrolahi, F., & Naderi, R. (2014). Corrosion protection evaluation of epoxy coatings containing hybrid organic–inorganic inhibitors. Journal of Applied Polymer Science, 131(8), 1–10.

Mahdavian, M., & Ashrafi, A. (2015). Development of nano-structured self-healing coatings using encapsulated corrosion inhibitors: Electrochemical assessment and surface analysis. Materials Chemistry and Physics, 149, 674–683.

Ali Arslan Kaya | Physical Metallurgy | Best Researcher Award

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Prof. Ali Arslan Kaya | Physical Metallurgy | Best Researcher Award

Mugla Sitki Kocman University, Engineering Faculty | Turkey

Prof. Dr. Ali Arslan Kaya is a distinguished academic in computer science with expertise in artificial intelligence, machine learning, deep learning, computer vision, image processing and data analytics. His research record includes an h-index of 21, 61 scientific documents and 1795 citations, reflecting strong global impact. He holds degrees in computer programming, computer engineering, software engineering and a Ph.D. in computer engineering, forming a broad technical foundation. His career spans roles as researcher, lecturer, senior lecturer, assistant professor and associate professor, contributing to both academic and applied technological fields. His research interests include neuromorphic computing, healthcare and medical AI, biomedical signal processing, anomaly detection, breast cancer diagnosis, pattern recognition, environmental monitoring and intelligent systems. He has participated in numerous national and international research projects and has served as reviewer, consultant, jury member and collaborator across multidisciplinary initiatives. His work integrates theoretical innovation with real-world applications, advancing data-driven technologies in science, industry and society. Recognized for academic excellence and research impact, he continues to contribute to the development of emerging technologies, mentor students and promote responsible use of artificial intelligence. His ongoing scholarship and leadership reflect a commitment to advancing computational sciences and shaping the future of intelligent systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kaya, A. A., & Ecer, A. (2024). Development of a crop type and growth phase classification system with crop awareness for precision agriculture applications (pp. 228–232). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

Kaya, A. A., Karakuzulu, E., Türeyen, M. T., & Akhan, E. (2024). ReGoDNet: Real-time road sign definement network (pp. 248–253). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

 Kaya, A. A., & Akhan, E. (2024). Real-time face detection and tracking using a gimbal system for human-robot interaction (pp. 38–43). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

Kaya, A. A., Ecer, A., & Karakuzulu, E. (2023). A YOLO-based intelligent recognition framework for real-time wildlife detection in forest environments. In Proceedings of the International Conference on Smart Technologies (pp. 112–118).

 Kaya, A. A., & Akhan, E. (2022). Hybrid deep learning approach for real-time facial expression classification using facial landmarks. In Proceedings of the World Conference on Information Systems and Technologies (pp. 129–139).