Sandeep Jain | Engineering | Editorial Board Member

Dr. Sandeep Jain | Engineering | Editorial Board Memberย 

Sungkyunkwan University, Republic of Korea | India

Dr. Sandeep Jain is an emerging researcher in metallurgical engineering and materials science, recognized for his strong academic record and diverse research experience across leading institutions in India and South Korea. His scholarly contributions reflect consistent growth, supported by 339 citations, 29 documents, and an h-index of 14, demonstrating both productivity and influence in the fields of alloy design, high-temperature materials, and computational materials engineering. His research spans multicomponent alloy development, high-entropy alloys, solidification simulation, and machine-learning-driven materials design, contributing to advanced structural and lightweight alloy systems. As a Postdoctoral Researcher at Sungkyunkwan University, he focuses on designing lightweight multicomponent alloys through machine-learning predictions of mechanical properties and optimizing injection-molding parameters using integrated simulation tools. His previous roles at IIT Delhi and IIT Indore strengthened his expertise in EBSD, XRD, creep behavior studies, solidification simulation, and alloy design through integrated computational approaches. With extensive teaching experience, he has assisted in courses on material science, solidification, computational modeling, mechanical workshop practices, and physical metallurgy, reflecting a strong commitment to academic mentorship. Dr. Jain has presented his work at multiple international conferences in India and abroad, and has actively contributed to academic workshops, cultural events, and technical festivals. His research interests include alloy development for high-strength and high-temperature applications, machine-learning-based materials design, high-entropy alloys, additive manufacturing, and advanced materials characterization. Driven by a passion for innovation and interdisciplinary collaboration, he aims to pursue impactful research as a Postdoctoral Fellow or Assistant Professor in a globally competitive academic environment.

Profile: Scopus ย | Orcid

Featured Publicationsย 

Jain, S., Jain, R., Saxena, N. V., Bux, S., Mourya, R. S., Lee, J., Han, H., Bhowmik, A., & Park, N. (2026). Predicting the magnetic behaviour of CoFeNi high entropy alloys: Reducing experimental dependency through machine learning approaches. Materials Letters.

Jain, S., Wagri, N. K., Arya, M., Bhowmik, A., & Park, N. (2025). Predicting the magnetic behaviour of homogenized CoCrFeNiAlx high entropy alloys at different aluminium content and temperatures: Reducing experimental dependency through machine learning approaches. Materials Chemistry and Physics.

Weiquan Sun | Mechanical Engineering | Best Researcher Award

Dr. Weiquan Sun | Mechanical Engineering | Best Researcher Award

Dr. Weiquan Sun, University of Science and Technology Beijing, China.

Sun Weiquan is an ๐Ÿ”ง Intermediate Engineer at the ๐Ÿ›๏ธ University of Science and Technology Beijing. He holds a ๐ŸŽ“ master’s degree from Northwestern Polytechnical University and a PhD from UST Beijing. His research focuses on โš™๏ธ vibration suppression in heavy machinery, leading to 3 SCI-indexed publications, 2 invention patents, and 3 software copyrights. As a project leader, his innovations generated ๐Ÿ’ฐ $1 million in revenue. Recognized as an ๐Ÿ† Outstanding Employee, he continues advancing engineering technology with impactful solutions.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits