Indian Institute of Technology Kharagpur |

Dr. Akhilesh Kumar is currently working as an Associate Professor in the Department of Industrial & Systems Engineering at Indian Institute of Technology, Kharagpur. Previously, he worked as a Solution Architect in Consulting Team at JDA Software, Bangalore. He received his B.Tech degree in Manufacturing Engineering from National Institute of Foundry and Forge Technology (India) and Ph.D. degree in Industrial Engineering from Wayne State University (U.S.A.) in the year 2005 and 2011, respectively. He has authored several technical papers. His publications appeared in such journals as International Journal of Production Economics, European Journal of Operational Research, Expert System with Applications, IEEE. Currently, he is working on a consultancy project with Shell on Conditioned Based Maintenance. He is also team lead for IoT in predictive maintenance project with Department of Heavy Industry and Tata Sons. He was part of collaborative research team in US with Ford Motor Company and Delphi Automotive LLP. His teaching interests include non-linear programming, multivariate statistical models, generalized linear models, machine learning and data analytics. He has authored various courses, lectures and workshops on applied machine learning and data analytics at IIT Kharagpur, other premier institutes and companies such as ZS Associates, CDAC, JDA. He has delivered lectures on various topics in companies as TELCON, HAL, McNally Bharat. He also appeared on Marquis Who’s Who in America in 2011 and in World in 2017. Dr. Kumar is also recipient of Faculty Excellence Award 2020.

All Publications

Multi-Period Green Reverse Logistics Network Design: An Improved Benders-Decomposition-based Heuristic Approach Reddy K. N., Kumar A. , Choudhary A. , Cheng T. E. By European Journal of Operational Research - (Accepted/In-Press)
Effect of Carbon Tax on Reverse Logistics Network Design Reddy K. R., Kumar A. , Sarkis J. , Tiwari M. K. By Computers & Industrial Engineering 139 - (Accepted/In-Press)
An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools Kumar A., Chinnam R. B., Tseng F. By Computers & Industrial Engineering 128 1008-1014 (2019)
Modelling and analysis of sustainable freight transportation Kumar A., Calzavara M. , Velaga N. , Choudhary A. , Shankar R. By International Journal of Production Research 57 6086-6089 (2019)
A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach De A., Pratap S. , Kumar A. , Tiwari M. K. By Annals of Operations Research - (Accepted/In-Press)
Hazard rate models for core return modeling in auto parts remanufacturing Kumar A., Chinnam R. B., Murat A. By International Journal of Production Economics 183 354-361 (2017)
Effects of driver work-rest patterns, lifestyle and payment incentives on long-haul truck driver sleepiness Mahajan K., Velaga N. R., Kumar A. , Choudhary A. , Choudhary P. By Transportation Research Part F 60 366-382 (2019)