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).

Hamid Sazegaran | Powder Metallurgy | Best Researcher Award

Published on by Metallurgy Award

Dr. Hamid Sazegaran | Powder Metallurgy | Best Researcher Award

Quchan University of Technology | Iran

Dr. Hamid Sazegaran is an Assistant Professor of Industrial Engineering whose research focuses on systems optimization and decision analysis. With a Ph.D. in Industrial Engineering, he has developed strong expertise in multi-objective and stochastic optimization, supply chain management, production planning, decision-making under uncertainty, meta-heuristic algorithms, and simulation modeling. His academic portfolio includes numerous peer-reviewed journal articles, textbooks, and conference papers, contributing to advancements in industrial systems and operational efficiency. He has served as a reviewer for international journals and participated on scientific committees at national conferences. His teaching experience spans courses in operations research, production control, supply chain management, advanced optimization, simulation, and statistics. With an h-index of 6 and over 80 citations across more than 13 scholarly documents, he has established a growing academic influence. His research has been supported by university and national funding agencies, and he has received recognition as an Outstanding Researcher and Best Paper Award recipient. Through innovative research, mentorship, and interdisciplinary collaboration, he continues to advance the field of industrial engineering and contribute to data-driven decision-making and optimization in complex systems.

Profiles: Scopus | Google Scholar 

Featured Publications

Sazegaran, H., Kiani-Rashid, A.-R., & Vahdati Khaki, J. (2016). Effects of copper content on the shell characteristics of hollow steel spheres manufactured by advanced powder metallurgy technique. International Journal of Minerals, Metallurgy and Materials, 23(4), 434-441.

Sazegaran, H., Kiani-Rashid, A.-R., & Vahdati Khaki, J. (2016). Effects of the sphere size on microstructural and mechanical properties of ductile iron–steel hollow sphere syntactic foams. International Journal of Minerals, Metallurgy and Materials, 23(6), 676-682.

Sazegaran, H., & Hojati, M. (2021). Investigation on production parameters of steel foam manufactured through powder metallurgical space-holder technique. Metals and Materials International, 27, 3371-3384.

Sazegaran, H., Bahari, H., Naserian-Nik, A. M., & Khorram Shahi, F. (2022). The influence of aluminum content on the porosity, microstructure, and mechanical properties of powder metallurgy steels. Archives of Metallurgy and Materials, 67(1), 105-111.

Firoozbakht, D., Sajjadi, S. A., Beygi, H., & Sazegaran, H. (2018). Low-temperature pressureless sintering of Al₂O₃-SiC-Ni nanocermets in air environment. Ceramics International, 44(15), 18156-18163.