Senior researchers, early career researchers and PhD students, in academia, research institutes, and industry, in the UK and internationally
16-17th March 2020 at Pembroke College, University of Oxford, England, OX1 1DW.
Saiful Islam is Professor of Materials Chemistry at the University of Bath. He grew up in Crouch End London and obtained his Chemistry degree and PhD from University College London (with Richard Catlow FRS), followed by a Postdoctoral Fellowship at the Eastman Kodak Labs in New York, USA. He returned to the UK to the University of Surrey, before joining the University of Bath in 2006. His research interests encompass computational studies of new materials for lithium-ion batteries and perovskite solar cells, with around 220 publications and more than 80 invited conference talks. A recipient of several awards including the 2020 ACS Award in Energy Chemistry, 2017 RSC Peter Day Award for Materials Chemistry and 2013 Royal Society Wolfson Research Merit award. Saiful presented the 2016 Royal Institution Christmas Lectures for BBC TV, entitled ‘Supercharged: Fuelling the Future’. He sits on the Expert Panel of the Faraday Institution and is a Patron of Humanists UK. When not exploring new materials, he enjoys family breaks (as a dad of two), football, indie music and his favourite chemicals gin and tonic.
Charles has been a CNRS researcher at Laboratoire de Réactivité et Chimie des Solides (France) since 2007. He completed his PhD in materials chemistry at Université de Picardie Jules Verne (Amiens, France), in 2005 and was then a Postdoctoral fellow for two years in Prof. John Newman’s group at Berkeley. Charles has authored nearly 56 peer-reviewed papers and 3 patents, and been awarded distinctions including the Carl Wagner Medal of Excellence in Electrochemical Engineering (2011) and the Oronzio and Niccolò De Nora Foundation Prize (2009). Current effort is the development of physics-based mathematical models for lithium-ion batteries, with a focus on electrolyte transport and battery degradation, in close collaboration with French automotive industry.
Dr. Kandler Smith leads the Battery Computational Modeling Team in the Transportation Energy Storage Group at the U.S. Department of Energy’s National Renewable Energy Laboratory in Golden, Colorado USA. Research projects include Li-ion battery lifetime prediction & extension, application of machine learning for model identification, fast charging, battery computational design and modeling of electrochemical/thermal/mechanical-coupled phenomena in Li-ion batteries including emerging chemistries. Kandler recently co-authored a textbook on design and analysis of large Li-ion battery systems He holds a Ph.D. in mechanical engineering from the Pennsylvania State University in electrochemical modeling and control of Li-ion batteries.
Simona Onori is Assistant Professor in the Department of Energy Resources Engineering at Stanford University (USA) and Adjunct Professor of Automotive Engineering at Clemson University (USA). Her research tackles fundamental modeling, control and estimation questions to both improve efficiency and longevity of existing energy systems and at the same time optimize the development of the new generation energy systems with the ultimate goal to accelerate the transition to clean energy grid and transportation. Simona is Chair of the IEEE Technical Committee on Automotive Controls and Vice-Chair of the IFAC TC on Automotive Control. She teaches Modeling and Estimation of Electrochemical Energy Storage Systems at Stanford.
Scott Moura is an Associate Professor in Civil & Environmental Engineering and Director of the Energy, Controls, & Applications Lab (eCAL) at the University of California, Berkeley. He is also a faculty member at the Tsinghua-Berkeley Shenzhen Institute. He received the B.S. degree from the University of California, Berkeley, CA, USA, and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2006, 2008, and 2011, respectively, all in mechanical engineering. From 2011 to 2013, he was a Post-Doctoral Fellow at the Cymer Center for Control Systems and Dynamics, University of California, San Diego. In 2013, he was a Visiting Researcher at the Centre Automatique et Systèmes, MINES ParisTech, Paris, France. His research interests include control, optimization, and machine learning for batteries, electrified vehicles, and distributed energy resources. Dr. Moura is a recipient of the National Science Foundation (NSF) CAREER Award, Carol D. Soc Distinguished Graduate Student Mentor Award, the Hellman Fellowship, the O. Hugo Shuck Best Paper Award, the ACC Best Student Paper Award (as advisor), the ACC and ASME Dynamic Systems and Control Conference Best Student Paper Finalist (as student and advisor), the UC Presidential Postdoctoral Fellowship, the NSF Graduate Research Fellowship, the University of Michigan Distinguished ProQuest Dissertation Honorable Mention, the University of Michigan Rackham Merit Fellowship, and the College of Engineering Distinguished Leadership Award.