Dr. Mohammad Waseem | Sustainable Development | Research Excellence Award
Assistant Professor | Jamia Millia Islamia | India
Dr. Mohammad Waseem is an active researcher in the field of electric vehicle (EV) technology, with core expertise in dynamic vehicle modelling, simulation, and mechanical design. His research primarily focuses on battery energy storage systems, battery management and thermal management systems, lithium-ion and emerging solid-state batteries, fuel-cell-based hybrid vehicles, and the integration of renewable energy with electric mobility. He has made significant contributions to EV chassis design, finite element analysis, and system-level modelling using advanced tools such as ANSYS, MATLAB, and Simscape. His work also explores the application of artificial intelligence, IoT, and digital-twin approaches for smart battery diagnostics and energy optimization. Dr. Waseem has published extensively in SCI and Scopus-indexed journals, contributing high-impact review and research articles on EV propulsion systems, battery safety, charging infrastructure, and sustainable transportation technologies. He also serves in editorial and reviewer roles for international journals, supporting research quality and innovation in the EV and energy systems domain.
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Top 5 Featured Publications
Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives
– Journal of Power Sources, 2023 (Citations: 262)
Fuel cell-based hybrid electric vehicles: An integrated review of current status, key challenges, recommended policies, and future prospects
– Green Energy and Intelligent Transportation, 2023 (Citations: 213)
Integration of solar energy in electrical, hybrid, autonomous vehicles: A technological review
– SN Applied Sciences, 2019 (Citations: 90)
Energy storage technology and its impact in electric vehicle: Current progress and future outlook
– Next Energy, 2025 (Citations: 49)
Modelling and analysis of gradient effect on the dynamic performance of three-wheeled vehicle system using Simscape
– SN Applied Sciences, 2019 (Citations: 46)