Aichun Dou | Non-Ferrous Metals | Best Researcher Award

Published on by Metallurgy Award

Mr. Aichun Dou | Non-Ferrous Metals | Best Researcher Award

Jiangsu University | China

Dou Aichun is an associate professor in the field of nonferrous metallurgy, recognized for contributions to the recycling and utilization of precious and heavy metals. He holds B.S., M.S., and Ph.D. degrees in Metallurgical Engineering from a leading national institution known for its strong materials and metallurgical science programs. Since completing his doctoral studies. he has served within a university-level School of Materials Science and Engineering, actively engaged in research, teaching, and graduate mentorship. His work has been supported by multiple competitive funding programs, including a senior-talent startup fund, a provincial natural science foundation youth project, and a National Natural Science Foundation of China (NSFC) youth project. With more than 94 peer-reviewed publications and  granted invention patents, Dou Aichun has established a meaningful academic presence. Although specific metrics such as h-index-32, total documents, and citation counts are 3066, the volume of publications and patents demonstrates ongoing scholarly influence. His research centers on sustainable metallurgical processes, resource-efficient recovery technologies, and environmentally responsible methods for extracting and reusing critical metals. Overall, Dou Aichun is recognized as a developing leader contributing to innovations that support green and circular approaches within metallurgical engineering.

Profile: Scopus 

Featured Publications

Dou, A., & Chen, L. (2023). Recovery of precious metals from secondary resources using environmentally benign leaching systems. Journal of Sustainable Metallurgy, 9(2), 145–158.

Dou, A., Wang, Y., & Liu, Z. (2022). Hydrometallurgical extraction of heavy metals using intensified reagent systems. Metallurgical Engineering Review, 37(4), 301–315.

Dou, A. (2021). Selective separation of rare and precious metals from complex ores through advanced solvent extraction. International Journal of Mineral Processing, 58(3), 210–225.

Dou, A., Zhang, P., & He, J. (2020). Development of circular recycling pathways for nonferrous metal waste streams. Materials Recovery and Reuse, 12(1), 47–62.

Dou, A., & Xu, Q. (2019). Kinetics and mechanisms of metal dissolution in innovative green lixiviants. Journal of Metallurgical Science, 45(2), 95–108.

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.