Ilker Murat Koç | Metallurgical Engineering Design | Best Researcher Award

Published on by Metallurgy Award

Prof. Dr. Ilker Murat Koç | Metallurgical Engineering Design | Best Researcher Award

Istanbul Technical University, Faculty of Mechanical Engineering | Turkey

Prof. Dr. İlker Murat Koç is a senior mechanical engineering academic with extensive experience in tribology, system dynamics, control, mechatronics and high-pressure flow systems has contributed significantly to research, education and technological development. Holding a PhD in Mechanical Engineering with a focus on vibration absorption using energy sinks, preceded by graduate and undergraduate degrees in machine theory and mechanical engineering, this researcher has built a strong international academic profile through appointments at multiple globally recognized universities. Their scholarly output includes more than twenty-four peer-reviewed journal articles, numerous conference papers and eight patents, supported by an h-index of 8, 306 citations, and 29 documentations cross mechanical systems, sensing technologies and propulsion. Contributions span vibration control, tactile sensing, piezoelectric energy harvesting, hydraulic and pneumatic proportional systems, multi-axis force/moment sensing, autonomous mechanisms and cold gas propulsion concepts for soft-landing missions. This researcher has led major industry-driven projects in defense, automotive and manufacturing sectors and has established advanced laboratories for propulsion, sensing and additive manufacturing. Their editorial roles, technical committee memberships and leadership in national innovation programs reflect long-standing impact. Continuing to bridge fundamental mechanics with applied engineering, their work drives forward advancements in tribology, mechatronics and aerospace-related technologies.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Koç, İ. M. (2023). Nonlinear energy sink–based vibration absorption for lightweight mechanical structures. Journal of Vibration and Control, 29(4), 512–528.

Koç, İ. M., & Yılmaz, A. (2022). Design and characterization of a high-pressure motorized pneumatic needle valve for precision flow control. Mechanical Systems and Signal Processing, 168, 108743.

Koç, İ. M., Demir, H., & Arslan, M. (2021). Development of a multi-axis force and moment sensing system for robotic applications. IEEE/ASME Transactions on Mechatronics, 26(5), 2450–2462.

Koç, İ. M. (2020). Cold gas propulsion system modeling and experimental validation for soft-landing demonstrators. Acta Astronautica, 176, 334–345.

Koç, İ. M., & Çelik, O. (2019). Tribological performance evaluation of coated surfaces under high-speed sliding conditions. Tribology International, 137, 337–348.

Ali Arslan Kaya | Physical Metallurgy | Best Researcher Award

Published on by Metallurgy Award

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).