I am an Assistant Professor at the Centre for Automotive Research and Tribology (CART), IIT Delhi, India, where I lead the Battery Analytics, Testing, Characterisation, and Health (BATCH) Lab as Principal Investigator and serve as Assistant Coordinator of the Hyundai Centre of Excellence (CoE) for Future Mobility Technology. Prior to joining IIT Delhi, I worked as a battery algorithm engineer at Apple Inc., USA and as a postdoctoral researcher in the Applied Materials Division at Argonne National Laboratory, USA. I received my Ph.D. degree (2020) in mechanical engineering from the University of Maryland, College Park, USA, and B.Tech. degree (2011) in electrical engineering from the IIT (BHU) Varanasi, India.
Batteries, despite being ubiquitous, are the most performance and reliability-limiting component of any electronic/electrical assembly. Batteries have also been a limiting factor in electric vehicles' driving range, charging time, and operational life. A two-pronged approach can overcome these battery limitations: either improve the battery materials or the one I take, create engineering tools to improve the performance and reliability of state-of-the-art battery systems. At BATCH lab, we are building a research program at the intersection of batteries, reliability engineering, and machine learning to create intelligent battery systems of the future. We strive to foster innovation that drives real-world solutions, guided by ethical practices, safety, inclusivity, and strong industry–academia collaboration.
Electrochemical Energy Storage, Lithium-ion Batteries, Battery Management System, Machine Learning for Prognostics and Health Management, Accelerated Degradation Testing, Physics of Failure
Machine Learning Algorithms for Battery Safety Diagnostics (Apr 2025 - Present)
Development of Indian EV Drive Cycles and Battery Use Cases (Apr 2025 - Present)
Degradation and Aging Mechanisms of Li-ion Cells in Indian Conditions (Apr 2025 - Present)
Battery BMS Development for Two and Three-wheelers (Apr 2024 - Present)
Battery SOC, SOP, and SOH Estimation Algorithms (Nov 2023 - Present)
Cell to Pack Design and Modelling (May 2024 - June 2025)
Please see my Google Scholar page for a detailed list of publications.
CTL707/7007: Batteries for Electric Vehicles: Multidisciplinary Perspectives
CTL729/7029: Automotive Reliability and Life Testing (with Prof. S Fatima)
CTL7050: Applied Machine Learning for EV Diagnostics and Prognostics (with Prof. S Fatima)
Certificate Programme in Hybrid Electric Vehicles (HEVs) Design (with Prof. Husain Kanchwala and Prof. Mandeep Rana)
Battery Technology For Electric Mobility (Sponsored by IOCL)
Automotive Operation and Future Technologies (Sponsored by FADA, with CART faculty members)
Vasudha Khubchandani
Tushar Shikhola
Rittik Das
Haseeba Maqbool
Rohit Xavier Chatterjee
Prasoon Mishra
Mayank Jaiswal
Shubham Chaudhary
Gautham B
Dheeraj Gurijala
ParulI am looking for motivated master's and PhD students to join our lab and work in the promising areas of battery management system (BMS) development, lithium-ion battery degradation analysis, battery modelling, and machine learning enabled battery health management. Please send me a short email attaching your CV with a subject line of "Research Positions at BATCH Lab" if you are interested in working with me.
Kavi Ajay Bhatia (MTech 2025) - Presently at RIL
Vivek Patidar (MTech 2024, Co-supervised with Prof B K Panigrahi) - Presently at ISRO
Birthday Celebration
Hyundai Korea Team's Visit
DST Inspire Fellows' Visit
Group Lunch
Gautham in IMBRS 2025
Rittik in IMBRS 2025
HMIE Team's Visit
Group Lunch
Best Paper Award for Vivek