Ramin Ebrahimi | Mechanical Metallurgy | Best Researcher Award

Published on by Metallurgy Award

Prof. Ramin Ebrahimi | Mechanical Metallurgy | Best Researcher Award

Shiraz University | Iran

Ramin Ebrahimi is a leading researcher in materials science and engineering, with deep expertise in metal forming, severe plastic deformation (SPD) techniques, and processing of ultrafine-grained (UFG) and nanostructured materials. His research encompasses a broad spectrum of metal forming processes  including die design, metal flow, friction modeling, microstructural evolution during deformation, and thermomechanical processing. Over the past two decades, his group has pioneered novel SPD-based methods such as Dual Equal Channel Extrusion, Simple Shear Extrusion, Cyclic Expansion Extrusion, Vortex Extrusion, Circular Simple Shear Extrusion, Twin Parallel-Channel Angular Extrusion, and Double Twin Parallel-Channel Angular Extrusion  achieving high-quality UFG and nanomaterials from aluminum alloys, copper, magnesium alloys, TWIP steel, and IF steel. His work has opened pathways for advanced applications including biodegradable magnesium-based implants. With a portfolio of over journal papers, supervision of numerous M.Sc. and Ph.D. students, and leadership of a research team, his scholarly impact is significant. He also contributes to the scientific community as founder and Editor-in-Chief of a specialized journal, and serves on multiple editorial boards. The h-index of 29 than documentation is 112 and citation over 3142. Ebrahimi’s research excellence has been recognized through honors such as “hot paper” selection and high citation impact. His ongoing work continues to push the frontier of metal forming science and advanced material processing for sustainable and high-performance applications.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Ebrahimi, R. (2010). Different processing routes for deformation via simple shear extrusion (SSE). Journal of Materials Processing Technology.

Ebrahimi, R., & Pardis, N. (2015). An analytical approach for simple shear extrusion process with a linear die profile. Materials & Design, 83, 1–10.

Ebrahimi, R. (2021). Iranian Journal of Materials Forming. Iranian Journal of Materials Forming, 8(1), 2-3. 

Ebrahimi, R., & Davoodi, A. (2011). Effect of thermomechanical parameters on dynamically recrystallized grain size of AZ91 magnesium alloy. Materials Science and Engineering A.

Ebrahimi, R., & Solhjoo, S. (2007). Characteristic points of stress–strain curve at high temperature. Journal of Materials Processing Technology.

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).