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.
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Modelling and analysis of sustainable freight transportation by Kumar A., Calzavara M. , Velaga N. , Choudhary A. , Shankar R. International Journal of Production Research 57 6086-6089 (2019)
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Hazard rate models for core return modeling in auto parts remanufacturing by Kumar A., Chinnam R. B., Murat A. International Journal of Production Economics 183 354-361 (2017)
Principal Investigator
- AI-Driven Resilient Semiconductor Supply Chain Scheme for Promotion of Academic and Research Collaboration (SPARC), Apex Committee of SPARC, Ministry of Education
Co-Principal Investigator
- Ram Sharma CoE in Data Science and Business Analytics, Department of ISE Dr Ram Sharma
Ph. D. Students
Gourav Das
Area of Research: Supply Chain Optimization
Rima Dolai
Area of Research: Supply Chain Optimization
Shashi Kumar
Area of Research: Supply Chain
Sumit Pal
Area of Research: Predictive Maintainence
Vineet Chauhan
Area of Research: Predictive Maintenance
