Dr. Gulshan Kumar Gaur
Indian Institute of Technology Delhi, Indian Institute of Technology Kanpur, Maharshi Dayanand University
About
I completed PhD from IIT Delhi & M.Tech from IIT Kanpur. Current research focuses on the intersection of sustainability, supply chain systems, operations research, and advanced decision-making. My work focuses on optimizing packaging supply chains in emerging economies to enhance sustainability using hybrid metaheuristic algorithms (e.g., PSO, GA-SA), multi-criteria decision-making (e.g., Fuzzy AHP, DEMATEL, Bayesian BWM), system dynamics modeling, artificial intelligence, and deep learning. I aim to contribute to data-driven policy and industrial innovation by integrating simulation, optimization, and real-world complexity into scalable solutions. My research is published in leading journals such as the Flexible Services and Manufacturing Journal (Q1, ABDC C), Management of Environmental Quality (Q1, ABDC C), and Environment Systems and Decisions (Q2). Presented my research work at international conferences such as SIET (Bali, Indonesia), IEOM (Vietnam), POMS (India), SWSM (Bangkok, Thailand), ICFBP, and the Cybersecurity Management Conference—IIM Nagpur.
Employment
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Indian Institute of Technology Delhi Early Doctoral Researcher2026 - Present
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Indian Institute of Technology Delhi Research Scholar2018 - 2026
Education
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Indian Institute of Technology Kanpur Master of Technology2015 - 2017
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Maharshi Dayanand University Bachelor of Technology2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (4)
- Sustainability focused decision modeling framework for improving performance of packaging supply chain system Save
- A Bayesian-based decision modeling approach for prioritizing barriers to sustainability in packaging supply chain Save
- Critical success factors for improving economic and environmental performance of packaging supply chain system Save
- MCDM Approach for Prioritizing Barriers to Improve Performance of Sustainability-Focused Packaging Supply Chain Save