Dr. Anurag Kumar is an Assistant Professor at IILM University, Gurugram, with a Ph.D. from the International Management Institute (IMI), New Delhi, specializing in Operations Research, Supply Chain Management, and Multimodal Transportation Optimization. He is actively engaged in teaching, academic administration, and research. His research work has been published in reputed ABDC ‘A’ category journals, and he has presented at several national and international conferences. Prior to joining academia, he served as a Senior Research Fellow at the Technology Information, Forecasting and Assessment Council (TIFAC), an autonomous organization under the Ministry of Science and Technology. His research interests include operations and supply chain management, logistics networks, and decision sciences.

Educational Qualifications

• Ph.D. – International Management Institute (IMI), Delhi, New Delhi, India
  Thesis – Optimizing Logistics Performance Through Synchromodality: Models & Methodologies.
• M.Phil. – Applications of Multi-Criteria Decision Making & Fuzzy Systems for Managerial Decision Making, Department of Operations Research, University of Delhi. (2018)
• M.Sc. – Applied Operational Research, Department of Operations Research, University of Delhi (2016).
• B.Sc. – Applied Sciences (Physics & Mathematics), Ramjas College, University of Delhi (2013).

Projects

• Global Technology Watch Group (Ministry of Science & Technology)- As a Senior Research Fellow at TIFAC, he has contributed to the Global Technology Watch Group (GTWG) project by carrying out technology mapping and prioritization using technology foresight methodologies and Multi-Criteria Decision Analysis (MCDA). His work involved evaluating emerging technologies, assessing their strategic relevance, and supporting evidence-based technology planning and policy formulation for national priority sectors.

Research Publications

• Kumar, A., & Mishra, S. (2026). Synchromodal readiness through neutrosophic DEA: Indian port efficiency under uncertainty. Journal of Advances in Management Research, 1-32. https://doi.org/10.1108/JAMR-07-2025-0358 (Scopus, SCI Impact Factor 3.3)
• Kumar, A., Mishra, S., & Lamba, K. (2026). Sustainable synchromodal logistics: unveiling key enablers through neutrosophic interpretive structural modeling analysis. Industrial Management & Data Systems, 126(1), 288-322. https://doi.org/10.1108/IMDS-11-2024-1090 (ABDC-A / ABS 2)
• Kumar, A., & Mishra, S. (2025). A low carbon multi-modal logistics network optimization: A novel neutrosophic mixed integer linear programming approach. Journal of Environmental Management, 387, 125924. https://doi.org/10.1016/j.jenvman.2025.125924 (ABDC-A / ABS 3)

Book Chapter

• Aggrawal, D., Singh, J., Kumar, A., & Anand, A. (2019). Interpretive Structural Modeling to Understand Factors Influencing Buying Behaviour of Air Freshener. In Optimization and Inventory Management (pp. 445-458). Singapore: Springer Singapore.

Conferences

• Kumar, A., Mishra, S., & Lamba, K (2024). Assessing critical success factors of flexible synchromodal logistics: utilizing Neutrosophic ISM approach: 24th GLOGIFT International Conference, Montpellier Business School, France.
• Kumar, A. & Mishra, S., (2024). Carbon-efficient multi-modal logistics network optimization: 24th GLOGIFT International Conference, Montpellier Business School, France.
• Kumar, A. & Mishra, S. (2024). Optimizing Cost, Emissions, and Delivery Delays in Multi-Modal Logistics Networks under Uncertainty: 21st International Conference on Business Management (ICBM), Sri Lanka.

Workshops

• Participated in the Doctoral Participant Centred Learning (DPCL) workshop 2025 conducted by Harvard Business School, Mumbai.
• Attended the Large-Scale Optimization Summer School (LSO) 2025 conducted by the various faculty members of IIMs and IITs at IEOR Department IIT Bombay.