Pallab Sarmah | Powder Metallurgy | Editorial Board Member

Published on by Metallurgy Award

Dr. Pallab Sarmah | Powder Metallurgy | Editorial Board Member

University of Johannesburg | South Africa

Dr. Pallab Sarmah is a Post-Doctoral Research Fellow at the Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, South Africa. He obtained his Ph.D. in Composite Materials and Advanced Machining, following an M.Tech. in Computer Integrated Manufacturing and Automation, and a B.E. in Mechanical Engineering. His primary research interests include metal matrix composites, non-conventional machining processes, additive manufacturing, and sustainable materials processing. Dr. Sarmah has held academic and research positions at reputed institutes and contributed to several sponsored projects focused on energy and materials innovation. He has published extensively in peer-reviewed international journals, conferences, and edited books, with an h-index of 6, over 21 research documents, and around 102 citations. His editorial and peer-review roles in recognized journals demonstrate his scholarly influence in the engineering community. He has co-edited books with global publishers such as Elsevier and De Gruyter, contributing to advancements in hybrid and intelligent manufacturing technologies. Through his research, Dr. Sarmah continues to promote innovation in machining and material development for industrial and sustainable applications.

Profile: Scopus

Featured Publications

Sarmah, P., Shailendra, P., & Gupta, K. (2025). Fabrication of novel hybrid AlSiC–ZrO₂ composites via powder metallurgy route and intelligent modeling for their microhardness. Ceramics, 8(3), 91–101.

Barman, P., Kalita, A., Sarmah, P., Bhattarai, S., Bordoloi, S., & Khalid, F. (2025). Governance strategies, policy measures, and regulatory framework for hydrogen energy in India: A comprehensive review. International Journal of Hydrogen Energy, 140, 505–518.

Gupta, K., Sarmah, P., & Shailendra, P. (2025). Analysis of recent research and innovations in vibration-assisted hybrid machining processes. Journal of Engineering and Technological Sciences, 57(2), 125–138.

Sarmah, P., & Gupta, K. (2024). Recent advancements in fabrication of metal matrix composites: A systematic review. Materials, 17(8), 4635–4649.

Sarmah, P., & Patowari, P. K. (2023). Machinability study of Al6063-based MMCs with SiC reinforcement particles using WEDM process. Materials and Manufacturing Processes, 38(7), 783–796.

Lin Yue-Feng | Surface Engineering | Best Researcher Award

Published on by Metallurgy 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.