Dr. Sandeep Jain is a distinguished researcher in materials science and metallurgical engineering, specializing in high-entropy alloys, alloy design, and machine-learning-assisted material development. He earned his Ph.D. from IIT Indore and has held postdoctoral positions at Sungkyunkwan University and Yeungnam University, South Korea. His research focuses on developing lightweight, high-performance alloys for high-temperature applications. He has published in top-tier journals like Philosophical Magazine and Journal of Alloys and Compounds. A recipient of the Global Best Achievement Award (2024), Dr. Jain continues to drive innovation in computational materials science and metallurgy. 🚀🏆
Dr Sandeep Jain, Yeungnam University, Republic of Korea, India
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Education 🎓
Dr. Sandeep Jain holds a Ph.D. in Metallurgical Engineering and Materials Science from the Indian Institute of Technology (IIT) Indore (2017-2023), where he achieved a CGPA of 8.67. He completed his M.Tech in Metallurgical Engineering and Materials Science from IIT Indore (2015-2017) with a CGPA of 8.75. His academic journey began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured 68% marks. His strong educational foundation in materials science, metallurgy, and mechanical engineering has driven his innovative research in alloy design and high-performance materials. 🔬📖
Research and Teaching Experience 📚
Dr. Sandeep Jain has an extensive background in research and academia, currently serving as an International Research Professor (Assistant Professor) at Yeungnam University, South Korea (2025-Present), where he designs lightweight refractory high-entropy alloys for high-temperature applications using machine learning and experimental techniques. Previously, he was a Postdoctoral Researcher at Sungkyunkwan University (2023-2025), optimizing multicomponent alloys and injection molding parameters. He has also worked at IIT Delhi and IIT Indore, focusing on Ni-based superalloys, solidification simulations, and mechanical property analysis. Additionally, he has over seven years of teaching experience, mentoring students in materials science, metallurgy, and mechanical engineering. 🏅🔍
Software Proficiency 💻
Dr. Sandeep Jain is proficient in a wide range of computational and analytical tools essential for materials science and mechanical engineering research. He has expertise in ANSYS Fluent and COMSOL for solidification simulations and finite element analysis. He utilizes ThermoCalc for thermodynamic and phase equilibria studies, along with Origin and AutoCAD for data visualization and design modeling. His skills in MATLAB enable texture analysis, while his proficiency in Python-based machine learning helps in the design and optimization of novel alloys. His expertise in these advanced tools enhances his research efficiency and innovation in materials development. 🏗️📈🤖
Awards and Fellowships 🏆
Dr. Sandeep Jain has been recognized for his outstanding contributions to materials science and engineering through multiple prestigious awards and fellowships. He received the Global Best Achievement Award (2024) and the International Academic Achievement Award (2024) for his exceptional research in high-entropy alloys and computational materials design. He was also awarded the Ph.D. and M.Tech. Fellowships by the Ministry of Human Resource Development (MHRD), Government of India, supporting his advanced studies at IIT Indore. These accolades highlight his dedication, research excellence, and significant impact on metallurgical engineering and materials science. 🏅📚🔍
Research Focus 🔬
Dr. Sandeep Jain’s research expertise lies in advanced alloy design and development for lightweight and high-temperature applications. His work focuses on High-Entropy Alloys (HEAs), optimizing their mechanical properties for high-strength applications. He integrates machine learning to accelerate alloy discovery, improving materials for industrial and aerospace use. His expertise extends to solidification simulation analysis, materials characterization, and additive manufacturing, enabling the development of next-generation alloys. Through his interdisciplinary approach, he contributes to innovations in metallurgical engineering, enhancing material performance, sustainability, and efficiency. ⚡🛠️📊
Publications 📖
Machine Learning Approaches for Predicting and Validating Mechanical Properties of Mg Rare Earth Alloys for Lightweight Applications
📖 Science and Technology of Advanced Materials, 2025
✍️ Authors: Sandeep Jain, Ayan Bhowmik, Jaichan Lee
Reducing Experimental Dependency: Machine-Learning-Based Prediction of Co Effects on the Mechanical Properties of AlCrFeNiCox High-Entropy Alloys
📖 Materials Today Communications, 2025
✍️ Authors: Sandeep Jain, Reliance Jain, Naresh Kumar Wagri, Ajay Singh Sikarwar, Shweta J. Khaire, Sheetal Kumar Dewangan, Yongho Jeon, Byungmin Ahn
A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys
📖 SSRN, 2024
✍️ Authors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik
A Machine Learning Perspective on Hardness Prediction in Multicomponent Al-Mg Based Lightweight Alloys
📖 Materials Letters, 2024
✍️ Authors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik
Enhancing Flow Stress Predictions in CoCrFeNiV High-Entropy Alloy with Conventional and Machine Learning Techniques
📖 Journal of Materials Research and Technology, 2024
✍️ Authors: Sheetal Kumar Dewangan, Reliance Jain, Subhankar Bhattacharjee, Sandeep Jain, M. Paswan, S. Samal, Byungmin Ahn
Dr. Sandeep Jain’s contributions in machine-learning-assisted alloy design and high-entropy materials are shaping the future of metallurgical engineering! 🚀🔥