Position: Ph.D. Student, (Electrical Engineering)
Abhinav Tiwari is a dedicated researcher and expert in electrical and computer engineering with a strong focus on integrating artificial intelligence (AI) responsibly into distributed energy resources (DERs), the energy grid, and electric mobility systems. He received his Master of Engineering Science (MESc, with Honors) degree in electrical and computer engineering from the University of Western Ontario, London, Canada, in 2014. Currently, he is pursuing a Ph.D. in electrical engineering and computer science at York University, Toronto, Canada.
Abhinav’s research centers on maximizing the value of distributed energy resources, fostering grid modernization, and delivering impactful outcomes for stakeholders and the environment through AI-driven solutions. A key advocate of ethical AI practices, he aims to establish responsible AI implementation as the foundational pillar for energy and mobility systems of the future. With significant contributions to grid modernization, non-wires alternative (NWA) strategies, and transactive energy systems, Abhinav has played a crucial role in advancing electric and energy utilities, natural resource management, and public service initiatives. He has also contributed to various smart city projects, focusing on the convergence of hardware and software design, system performance optimization, and scalability improvement. His expertise has led to the development of intellectual property in these domains.
Abhinav continues to explore innovative ways of bridging the gap between AI, sustainable energy practices, and electric mobility to create systems that are not only efficient but also equitable and sustainable for the future.
Research Interests:
Current research interests include Grid Modernization, Non-Wires Alternatives, Responsible and Generative Artificial Intelligence, Smart Cities, Electric Mobility.
Refereed Journal:
A. Tiwari, and H. Farag, “Analysis and Modeling of Value Creation Opportunities and Governing Factors for Electric Vehicle Proliferation.” Energies, vol. 16, no. 1, p. 483, 2023. https://doi.org/10.3390/en16010438 – link