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. 🧪🤖🌍

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. 🎓 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. 📘✨ 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. 🔧📚 Dr. Jain’s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. 🚀🔬

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea 🇰🇷, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning 🤖. As a Research Associate at IIT Delhi 🇮🇳, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods 🌟. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies 🔬. Dr. Jain’s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development 🌍.

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 2017–Nov 2022 and July 2015–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 2013–June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jain’s dedication to education blends technical knowledge with hands-on experience. 🎓🛠️📚

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 🎖️🌟, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship 🧑‍🎓📚 and the M.Tech. Fellowship 🎓🔬, 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. 🚀📖

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. 🌟🔍📊

Publication Top Notes

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

A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility

Machine learning-driven insights into phase prediction for high entropy alloys

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

Educational Background

Dr. Abderrezzaq Benalia holds a Ph.D. in Environmental Engineering from Salah Boubnider University, Constantine 3, Algeria. His doctoral research focused on the extraction and valorization of natural plant products as bio-coagulants for improving water quality, showcasing his commitment to sustainable environmental practices. Additionally, his M.Sc. thesis on the coagulation-flocculation process for drinking water treatment further solidifies his expertise in environmental engineering.

Positions Held and Teaching Experience

Dr. Benalia has held several notable positions, including being a representative of the environment in Yahia Beni Guecha, Mila, Algeria, from 2011 to 2016. His teaching experience spans various prestigious institutions, such as the Higher Normal School of Constantine and the National Polytechnic School of Constantine, where he has taught subjects like Chemical Kinetics, Analytical Chemistry, and Water Chemistry. His teaching excellence is reflected in his consistent contributions to environmental and process engineering education.

Research Interests and Supervision

His areas of interest include biomaterials, water and wastewater treatment, water pollution, and the extraction of natural substances. Dr. Benalia has also shown a strong commitment to mentoring students, having supervised several graduate projects, including Long Cycle and Engineer/Master students.

Additional Contributions

Dr. Benalia has been actively involved in organizing scientific events, such as the Inaugural National Congress in Physical and Chemistry Science (INCPCS 2024). He has also led significant research projects, including the improvement of bioenergy production from biodegradable waste, demonstrating his leadership and innovation in environmental research.

Prizes, Awards, and Honors

Dr. Benalia has received numerous accolades, including the Young Researcher Award from Salah Boubnider University in 2016, and the Best Researcher Award in Environmental Engineering from World Top Scientists in 2024. These awards recognize his impactful contributions to the field of environmental engineering.

Publications and Communications

Dr. Benalia has authored several high-impact publications in renowned journals. His research on the removal of dyes from water using aluminum-based water treatment sludge and the application of plant-based coagulants in water treatment highlights his innovative approach to environmental challenges. His work on the synthesis and application of bio-sorbents from artichoke and orange peels for wastewater treatment further emphasizes his focus on sustainable solutions.

Conclusion

Dr. Abderrezzaq Benalia’s extensive educational background, diverse teaching experience, and impactful research contributions make him a strong candidate for the Best Researcher Award. His dedication to environmental sustainability, innovative research, and student mentorship exemplifies the qualities of a top researcher in his field.