Title: Machine Learning for Electrochemical Energy Storage

Time: 2021-12-15 10:00

Venue: Institute for Energy Research, 1501

Organizer: Institute for Energy Research

Research Profile: Professor Akeel A. Shah graduated with a first-class honours degree in Mathematical Physics in 1995 and a PhD in Applied Mathematics (both from University of Manchester Institute of Science and Technology) in 2001. He is currently a Professor in University of Warwick, UK and a specially appointed Professor in Chongqing University, China, with expertise in electrochemical energy conversion, computational engineering and applied machine learning. He previously held position at University of Southampton. His work is primarily focused on the modelling and simulation of energy-conversion devices, including computational modelling, and the development of fast algorithms for computer codes in science and engineering based on machine learning and computational statistics. Between 2004 and 2006, he held a joint Pacific Institute of Mathematics Sciences (PIMS) and Mathematics of Information Technology and Complex Systems (MITACS) Fellowship. He is the author of over 85 publications in leading, international peer-reviewed journals. Professor Shah has worked closely with the fuel cell and battery industry (Ballard Power Systems, Johnson Matthey Corp., Sharp Laboratories, ACAL Energy Ltd) to develop models/numerical codes for design purposes. He has received funding from the TSB, FP7, dstl and directly from the industry.