Dr. Sandeep Jain | High Entropy Alloys | Best Researcher Award

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

Orcid

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

Sandeep Jain | High Entropy Alloys | Best Researcher Award