Владимир Бажин | Non-Ferrous Metals | Research Excellence Award

Prof. Владимир Бажин | Non-Ferrous Metals | Research Excellence Award

Горный университет | Russia

Prof. Vladimir Yu. Bazhin is a Doctor of Technical Sciences and Professor, currently serving as Head of the Department of Metallurgy at a leading mining and engineering university. He holds a degree in Metallurgical Engineering and has completed additional education in management and engineering economics. He has more than 35 years of experience integrating industrial practice, academic leadership, and international project activity in the field of aluminum metallurgy. His professional background includes senior engineering, managerial, and academic positions related to electrolytic aluminum production, melting and casting of high-alloy aluminum alloys, aluminum rolling and foil production, and automation of complex metallurgical processes. He has played key roles in the development and implementation of large-scale industrial and research projects in the aluminum industry. Prof. Bazhin is the author  monographs, 165 scientific documents, and 80 patents. His total citation count is 1,156, with a current h-index of 15. He has supervised 20 PhD candidates and more than 80 graduate engineers. His research interests focus on aluminum electrolysis, advanced aluminum alloys, metallurgical process automation, and industrial safety. He serves as an expert and member of multiple scientific and professional councils and editorial boards. His achievements have been recognized through numerous professional and academic awards, reflecting a significant contribution to metallurgical science, engineering education, and industrial innovation.

 

Citation Metrics (Scopus)

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Citations 1156

Documents 165

h-index 15

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Featured Publications

Lin Yue-Feng | Surface Engineering | Best Researcher Award

Mr. Lin Yue-Feng | Surface Engineering | Best Researcher Award

National Chin-Yi University of Technology | Taiwan

Dr. Yue-Feng Lin is an accomplished researcher and academic specializing in intelligent manufacturing, semiconductor material processing, and precision machining. His work integrates ultrasonic-assisted machining, diamond-wire wafer slicing, and AI-based optimization to enhance precision, efficiency, and sustainability in modern manufacturing. He has completed eight government-funded projects, including two ongoing, and collaborated on industry-academia projects focused on semiconductor process optimization, smart manufacturing, and low-carbon production. which have received 16 citations from 13 documents, with an h-index of 3. He also holds four granted patents and has authored two technical books on advanced material processing and ultrasonic vibration-assisted machining. In addition to his research achievements, he serves as a reviewer for Sensors and Materials and CSME Journal. Dr. Lin’s interdisciplinary expertise bridges academic research and industrial application, driving innovation in precision engineering and sustainable manufacturing. His continued dedication to research excellence and collaborative development contributes significantly to advancing smart manufacturing technologies and promoting global competitiveness in next-generation production systems.

Profiles: Scopus Orcid

Featured Publications

Lin, Y.-F., Chen, M.-C., Ven, S.-I., Tzoi, M.-R., & Chuong, T.-M. (2025). Intelligent casting method integrating anomaly detection and semantic segmentation. Machines, 13(1), 317.

Lin, Y.-F., Wang, Y.-C., Lien, H.-H., & Tzoi, M. (2016). Geometric-overlap modeling and sweep uniformity optimization of five diamond conditioning disks. International Journal of Advanced Manufacturing Technology, 87(5–8), 225–3710.

Lin, Y.-F., & Wang, Y.-C. (2021). Optimization of ultrasonic-assisted cutting parameters using AI-based prediction models. Applied Sciences, 11(22), 11840.

Lin, Y.-F., Chen, M.-C., & Lien, H.-H. (2020). Analysis of diamond-wire slicing characteristics in semiconductor wafer processing. Materials, 13(15), 3325.

Lin, Y.-F., & Tzoi, M.-R. (2019). Precision control of ultrasonic vibration-assisted machining for difficult-to-cut materials. International Journal of Advanced Manufacturing Technology, 102(1–4), 145–156.