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).

Hatem Ksibi | Mechanical Metallurgy | Best Scholar Award

Published on by Metallurgy Award

Prof. Hatem Ksibi | Mechanical Metallurgy | Best Scholar Award

University of Sfax, IPEIS | Tunisia

Prof. Dr. Eng. Hatem Ksibi is a Full Professor of Chemical Engineering at the University of Sfax and a Senior Researcher at the Laboratory of Materials Applications in Environment, Water and Energy, University of Gafsa. He holds a PhD in Chemical Engineering from the University of Paris–Sorbonne North and an Advanced Diploma in Energy Conversion from the University Pierre and Marie Curie. His academic and research career spans over two decades, focusing on materials science, process engineering, and environmental technologies. His work emphasizes the valorization of industrial by-products such as phosphogypsum, supercritical fluid extraction, powder technology, crystallization processes, and biogas production through anaerobic digestion. Prof. Ksibi integrates advanced numerical modeling, simulation, image analysis, and machine learning techniques in engineering problem-solving and education. He has authored numerous scientific publications, supervised several doctoral theses, and contributed extensively to interdisciplinary research linking theory, experimentation, and sustainable industrial practice. With an h-index of 10, over 305 citations, and more than 39 documents indexed in major scientific databases, he actively reviews for international journals and participates in national and international scientific committees. His research advances sustainable engineering solutions and promotes digital transformation in industrial and environmental systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Ksibi, H. (2025). Refined covolume approach for heavy alkanes in Abel–Noble EOS at high pressures. International Journal of Thermodynamics, 28(2), 35–44.

Ksibi, H. (2024). Morphology and size comparison of crystallized materials using image-based counting techniques: Conventional vs. supercritical processes. Journal of Chemistry and Technologies, 33(2), 312576.*

Ksibi, H. (2023). Bioactive Chemlali olive derivatives and compounds useful for pharmaceutical purposes: A review. International Journal of Plant Based Pharmaceuticals, 3(2), 215–227.

Ksibi, H. (2024). Valorization of phosphogypsum waste into sustainable materials for environmental applications. Environmental Engineering and Management Journal, 23(4), 451–460.

Ksibi, H. (2022). Application of machine learning and image analysis in materials characterization and process modeling. Journal of Materials and Environmental Science, 13(8), 785–794.