About Me

Babar is a distinguished researcher with robust energy management and optimization expertise, showcased through his extensive publication record of over 50 peer-reviewed articles in top-tier international journals and conferences. His proficiency extends to mentoring, having supervised numerous final-year projects and theses, as well as guiding doctoral students in engineering and computer science disciplines. His influence also transcends academia, as demonstrated by his pivotal role in European Union-funded projects focused on grid-to-vehicle and vehicle-to-grid integration using machine learning and optimization algorithms. Babar's contributions reach beyond research, as he serves as a respected reviewer for esteemed journals like IEEE, Elsevier, Wiley, Springer, IET, and Taylor & Francis, underscoring his deep understanding of the field. Currently a GET-COFUND Marie Curie Fellow at UAH, Babar continues to push the boundaries of energy management by developing innovative algorithms for efficient energy demand management. His holistic impact, ranging from research to application, cements his position as a dynamic force driving energy optimization and management advancements.