Post Doctoral Researcher at Sungkyunkwan University, India
Dr. Sandeep Jain is a metallurgical engineer and materials scientist specializing in the design and development of high-entropy alloys (HEAs) and lightweight materials. His research focuses on integrating machine learning with alloy design, solidification simulation, and materials characterization. Dr. Jain has published extensively in high-impact journals, contributing to advancements in high-temperature materials, additive manufacturing, and computational modeling. He has also served as a guest editor and peer reviewer for multiple scientific journals.
Publication Profile
Scopus
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Educational Background 🎓
- Ph.D. in Metallurgical Engineering and Materials Science (2017-2023)
- Indian Institute of Technology Indore (CGPA: 8.67)
- M.Tech in Metallurgical Engineering and Materials Science (2015-2017)
- Indian Institute of Technology Indore (CGPA: 8.75)
- B.E. in Mechanical Engineering (2009-2013)
- MBM Engineering College Jodhpur (Percentage: 68%)
Professional Experience 💼
- International Research Professor (Assistant Professor) (March 2025 – Present)
- Yeungnam University, South Korea
- Researching lightweight refractory HEAs for high-temperature applications using machine learning and experimental methods.
- Postdoctoral Researcher (Nov 2023 – Feb 2025)
- Sungkyunkwan University, South Korea
- Designing novel lightweight multicomponent alloys using machine learning.
- Optimizing injection molding simulation parameters.
- Research Associate (April 2023 – Oct 2023)
- Indian Institute of Technology Delhi
- Investigated mechanical and creep behavior of Ni-based superalloys using EBSD analysis.
- Developed a sustainable plating method for rose gold coatings.
- Project Associate (Dec 2022 – March 2023)
- Indian Institute of Technology Indore
- Designed lightweight Ni-based multi-component alloys using machine learning.
- Ph.D. Research Scholar (Dec 2017 – Nov 2022)
- Indian Institute of Technology Indore
- Conducted phase equilibria studies and mechanical property analysis of multicomponent alloys.
- Performed solidification simulation using ANSYS Fluent.
Research Interests 🔬
- High-Entropy Alloys (HEAs) for high-strength and high-temperature applications.
- Machine learning-driven alloy design and materials development.
- Solidification simulation analysis and computational materials science.
- Additive manufacturing and advanced materials processing.
- Materials characterization techniques such as EBSD, SEM, and XRD.
Awards and Honors🏆✨
- Global Best Achievement Awards 2024
- International Academic Achievement Award 2024
- Ph.D. and M.Tech Fellowship (MHRD, Government of India)
- GATE 2015 Qualified (Score: 663)
- GATE 2013 Qualified (Score: 426)
Conclusion🌟
Dr. Sandeep Jain is an accomplished researcher with a strong background in metallurgical engineering and materials science. His expertise in high-entropy alloys, computational modeling, and machine learning-driven materials design has led to numerous high-impact publications. With experience in academia and international research collaborations, he continues to contribute to cutting-edge advancements in lightweight and high-temperature materials. His role as a peer reviewer, guest editor, and conference presenter underscores his leadership in the field. Dr. Jain seeks to further his research career through interdisciplinary collaborations and innovative approaches in materials science.
Publications 📚
📌 Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications
📅 2025-12-31 | 📖 Science and Technology of Advanced Materials
🔗 DOI: 10.1080/14686996.2025.2449811
👥 Contributors: 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
📅 2025-03 | 📖 Materials Today Communications
🔗 DOI: 10.1016/j.mtcomm.2025.112055
👥 Contributors: 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
📅 2024 | 📖 SSRN
🔗 DOI: 10.2139/ssrn.4715816
👥 Contributors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik
📌 A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys
📅 2024 | 📖 Materials Letters
🔗 DOI: 10.1016/j.matlet.2024.136473
👥 Contributors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik
📌 Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques
📅 2024 | 📖 Journal of Materials Research and Technology
🔗 DOI: 10.1016/j.jmrt.2024.03.164
👥 Contributors: Sheetal Kumar Dewangan, Reliance Jain, Subhankar Bhattacharjee, Sandeep Jain, Mukesh Paswan, Sumanta Samal, Byungmin Ahn
📌 Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility
📅 2024 | 📖 Arabian Journal for Science and Engineering
🔗 DOI: 10.1007/s13369-023-08063-6
👥 Contributors: Sandeep Jain, Mahesh Patel, Jayaprakash Murugesan, Sumanta Samal
📌 Machine learning-driven insights into phase prediction for high entropy alloys
📅 2024 | 📖 Journal of Alloys and Metallurgical Systems
🔗 DOI: 10.1016/J.JALMES.2024.100110
👥 Contributors: Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, Lokesh Kumar Boriwal, Sumanta Samal
📌 Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation
📅 2024-09 | 📖 Transactions of the Indian National Academy of Engineering
🔗 DOI: 10.1007/s41403-024-00455-w
👥 Contributors: Sandeep Jain, Reliance Jain, Vinod Kumar, Sumanta Samal
📌 Investigation of Mechanical Properties, Fretting Wear, and Corrosion Behaviour of AA6063/Si₃N₄ Nanocomposites Fabricated via Friction Stir Processing
📅 2024-09-12 | 📖 Arabian Journal for Science and Engineering
🔗 DOI: 10.1007/s13369-024-09551-z
👥 Contributors: Mahesh Patel, Sandeep Jain, Jayaprakash Murugesan
📌 Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy
📅 2024-07 | 📖 Journal of Materials Research and Technology
🔗 DOI: 10.1016/j.jmrt.2024.07.048
👥 Contributors: Sijia Li, Wenning Chen, Sandeep Jain, Dongwon Jung, Jaichan Lee