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Sandeep Jain | Engineering and Technology | Best Researcher Award

Dr Sandeep Jain, Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a metallurgical engineer and researcher with expertise in machine learning applications in alloy design, lightweight materials, and high-entropy alloys. He holds a Ph.D. (2023) and M.Tech. (2017) from IIT Indore and a B.E. in Mechanical Engineering (2013). Currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea, Dr. Jain focuses on designing multicomponent alloys and optimizing manufacturing processes. He has published extensively, including works on machine learning-driven phase prediction and flow stress modeling. Dr. Jain is a guest editor, reviewer for leading journals, and recipient of prestigious awards like the Global Best Achievement Award 2024. ๐Ÿงช๐Ÿค–๐ŸŒ

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. ๐ŸŽ“ He earned his Ph.D. (2017-2023) and M.Tech (2015-2017) in Metallurgical Engineering and Materials Science from the prestigious Indian Institute of Technology Indore, achieving impressive CGPAs of 8.67 and 8.75, respectively. ๐Ÿ“˜โœจ His journey in engineering began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured a commendable 68% score. ๐Ÿ”ง๐Ÿ“š Dr. Jainโ€™s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. ๐Ÿš€๐Ÿ”ฌ

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea ๐Ÿ‡ฐ๐Ÿ‡ท, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning ๐Ÿค–. As a Research Associate at IIT Delhi ๐Ÿ‡ฎ๐Ÿ‡ณ, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods ๐ŸŒŸ. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies ๐Ÿ”ฌ. Dr. Jainโ€™s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development ๐ŸŒ.

Teaching Experience

Dr. Sandeep Jain has an extensive teaching background in materials science and engineering. As a Teaching Assistant at the Indian Institute of Technology Indore (Dec 2017โ€“Nov 2022 and July 2015โ€“June 2017), he contributed to courses like Solidification and Phase Field Modelling, Computational Methods for Materials, and Physical Metallurgy. His expertise also spans practical modules, including Mechanical Workshop, Casting and Welding Lab. Earlier, he served as a Guest Faculty at Govt. Engineering College, Ajmer (Aug 2013โ€“June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jainโ€™s dedication to education blends technical knowledge with hands-on experience. ๐ŸŽ“๐Ÿ› ๏ธ๐Ÿ“š

Awards / Fellowships

Dr. Sandeep Jain has earned prestigious accolades for his outstanding achievements in academia and research. In 2024, he was honored with the Global Best Achievement Awards ๐ŸŽ–๏ธ๐ŸŒŸ, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship ๐Ÿง‘โ€๐ŸŽ“๐Ÿ“š and the M.Tech. Fellowship ๐ŸŽ“๐Ÿ”ฌ, both awarded by the Ministry of Human Resource Development (MHRD), Government of India. These honors highlight his dedication, innovation, and excellence in advancing knowledge and contributing to societal progress. Dr. Jain’s achievements continue to inspire and set benchmarks for aspiring scholars worldwide. ๐Ÿš€๐Ÿ“–

Research Focus

Dr. Sandeep Jain’s research focuses on the development and application of machine learning techniques to predict mechanical properties in lightweight alloys and high entropy alloys. His studies include hardness prediction, flow stress, phase prediction, and the influence of processing methods like friction stir processing. These investigations aim to enhance the performance of advanced materials such as Al-Mg-based alloys and CoCrFeNiV high entropy alloys. His work bridges the gap between experimental studies and computational simulations, contributing valuable insights into alloy design and optimization. ๐ŸŒŸ๐Ÿ”๐Ÿ“Š

Publication Top Notes

A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys

Sandeep Jain | Engineering and Technology | Best Researcher Award

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