Dr. Gaurav Kumar

About

Dr. Gaurav Kumar is an Assistant Professor of Operations Management at the Indian Institute of Management Ranchi since May 2026. Prior to joining IIM Ranchi, he worked as a Lecturer (Sessional) and Postdoctoral Research Fellow in the Industrial Engineering Division at the University of British Columbia, Vancouver, Canada, focusing on applied operations research and predictive analytics in logistics, supply chain, and operations management. He completed his Ph.D. from the Indian Institute of Technology Kharagpur, where his research focused on railway freight operations planninng using operations research and predictive analytics. He worked on various research consultancy projects with industries i.e., (1) Centre for Railway Information Systems (CRIS), Ministry of Railways, India; (2) Truck Transportation funded by Sutco Transportation Specialists, British Columbia, Canada; (3) Rail freight transportation funded by TMILL, India; (4) Covid-19 vaccine supply chain project funded by CISCO, USA; and (5) Drone deployment strategy for Blue Yonder. He has published his research in the well-known ABDC/SCI-indexed journal "Transportation Research Part E"; Computers & Industrial Engineering"; "International Transactions in Operational Research" and "Benchmarking: An International Journal" and many Scopus-indexed conference proceedings.

Employment

• Indian Institute of Management Ranchi Assistant Professor
  2026 - Present
• University of British Columbia Postdoctoral Research Fellow
  2024 - 2025
• University of British Columbia Lecturer (Sessional)
  2024 - 2025
• Indian Institute of Technology Kharagpur PhD Research Scholar
  2019 - 2024

Education

• Indian Institute of Technology Kharagpur Doctor of Philosophy
  2019 - 2024
• Indian Institute of Technology Dhanbad Master of Technology
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Hybrid optimization-predictive analytics model for dynamic rake scheduling and ETA prediction in rail freight operations
  Journal of the Operational Research Society 2026 DOI: 10.1080/01605682.2026.2624009
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• Applications of machine learning for decision support in biomass supply chains: A systematic review
  Computers and Chemical Engineering 2026 DOI: 10.1016/j.compchemeng.2025.109451
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• Optimal drone deployment for cost‐effective and sustainable last‐mile delivery operations
  International Transactions in Operational Research 2025 DOI: 10.1111/itor.13527
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• Hybrid Simulation Optimization Method for Biomass Supply Chain Planning: A Systematic Review
  BioEnergy Research 2025 DOI: 10.1007/s12155-025-10903-2
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• A Systematic Review of Forest-Based Biomass Supply Chain Optimization Incorporating Governmental Policies and Programs
  BioEnergy Research 2025 DOI: 10.1007/s12155-025-10899-9
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• Artificial intelligence and ESG in resources-intensive industries: Reviewing the use of AI in fisheries, mining, plastics, and forestry
  The Extractive Industries and Society 2025 DOI: 10.1016/j.exis.2025.101690
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• Data-driven predictive model for dynamic expected travel time estimation in rail freight networks: A case study
  Transportation Research Part E: Logistics and Transportation Review 2025 DOI: 10.1016/j.tre.2025.104201
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• Chili-Net: An Approach for Classifying Chili Leaf Diseases Using Deep Neural Networks
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-66594-3_5
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• Enhancing Diabetic Retinopathy Detection with Image Processing Techniques and Deep Learning EfficientNetB0: A Comparative Analysis
  2024 DOI: 10.1007/978-3-031-66594-3_8
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• Efficient Decision-Making for Rail Freight Operators: A Real-Time IoT-Based Approach for Rake Rescheduling
  2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2023 DOI: 10.1109/ieem58616.2023.10406346
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