Dr. Sourabh Kumar Soni
Also known as: S K Soni
Ajou University, Kongju National University, Vellore Institute of Technology University, Bhilai Institute of Technology, Rungta College of Engineering and Technology
About
Dr. Sourabh Kumar Soni is currently serving as a Postdoctoral Researcher in the Division of Advanced Materials Engineering at Ajou University, Republic of Korea. He received his Ph.D. from Vellore Institute of Technology (VIT), Vellore, India, and his M.Tech. from Bhilai Institute of Technology, Bhilai, India. He brings over 11 years of teaching and research experience, with specialized skills in additive manufacturing, powder metallurgy, casting, hybrid and nanocomposites, mechanical characterization, microstructural investigation, and nanomaterial dispersion. Dr. Soni has published 26 articles in SCI/Scopus-indexed peer-reviewed journals, along with 20+ conference proceedings, 1 book chapter, and 2 patents, reflecting his strong academic and research contributions in advanced materials engineering.
Employment
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Ajou University Postdoctoral Fellow2026 - Present
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Kongju National University Postdoctoral Research Associate2024 - 2026
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Rungta College of Engineering and Technology Assistant Professor2022 - 2024
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Chhatrapati Shivaji Institute of Technology Assistant Professor Cum Workshop Superitendent2021 - 2022
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VIT University Teaching Cum Research Assistant2017 - 2020
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Rungta College of Engineering and Technology Assistant Professor2016 - 2017
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Garv Institute of Management and Technology Assistant Professor2011 - 2016
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Shri Shankaracharya Engineering College Bhilai Assistant professor2010 - 2011
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Oriental Institute of Science and Technology Lecturer2009 - 2010
Education
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Vellore Institute of Technology University Ph.D2017 - 2022
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Bhilai Institute of Technology M Tech.2011 - 2014
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Chhatrapati Shivaji Institute of Technology B.E2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Optimization and Predictive Modeling of Process Parameters in Wire-arc Additive Manufacturing Using Statistical and Machine Learning Approaches Save
- Influence of recycling-induced oxide inclusions on microstructure and mechanical properties of directed energy deposited 316L stainless steel Save
- Neural network-enabled prediction and optimization of mechanical properties and biocompatibility in high-entropy alloys: A data-driven approach to metallurgical innovation Save
- Build-orientation effects on microstructure and mechanical properties of electron-beam-welded dissimilar rolled/PBF Ti–6Al–4V joints Save
- Microstructure characterization and recyclability assessment of heat-affected 316L stainless steel powders processed via directed energy deposition Save
- Engineering hetero-lamellar structure in high-entropy alloys: Interface-driven strengthening and deformation behavior Save
- Impact of powder size distribution on the flowability of gas-atomized Inconel 625 powder for directed energy deposition Save
- Thermodynamic analysis of a solar-driven hybrid metal hydride–phase change material system for simultaneous cooling, thermal energy storage, and heat upgrading Save
- Influence of gas type on microstructure and characteristics of super duplex stainless steel alloy powders prepared via gas atomization Save
- Design and Thermodynamic Analysis of a Hybrid Two‐Stage Solar Thermal Energy Storage System Based on Hydrogen and Phase Change Materials Save