Dr. Adnan Mehonic is an Associate Professor in nanoelectronics and Senior Royal Academy of Engineering Research Fellow at the Department of Electronic and Electrical Engineering, University College London. He has authored more than 100 journal publications and international conference proceedings on memristive technologies, energy-efficient AI and neuromorphic systems. He is the inventor of numerous international patents and co-founder of a spinout company (IntrinSic Semiconductor Technology). In 2021 he received the MIT’s Technology Review’s The 35 Innovators Under 35 award, recognising him among 35 exceptionally talented technologists whose work has great potential to transform the world. His work includes co-designing functional materials, devices, circuits, and algorithms to enable energy-efficient on-chip implementation of machine learning/artificial intelligence.
Dr. Shjijing Sun is an assistant professor at the University of Washington. Her research primarily focuses on autonomous materials design specifically aimed at advancing clean energy technologies. Before joining UW, Dr. Sun held the position of a senior research scientist at the Toyota Research Institute located in Silicon Valley. During her time there, she dedicated her efforts to the development of AI-powered solutions that aimed to accelerate research and development in the fields of electric vehicle (EV) batteries and fuel cells. Prior to her work at Toyota Research Institute, Dr. Sun worked as a research scientist at the Department of Mechanical Engineering at MIT, where she led a team that focused on the development of high-throughput synthesis and characterisation methods for thin-film solar cells. Dr. Sun completed her academic studies at Trinity College, University of Cambridge, where she obtained her B.A. in Natural Sciences, and M.Sci., and Ph.D. degrees in materials science. She has published over 50 papers and conference proceedings.
Yuchao Yang is Professor with tenure at School of Integrated Circuits, Peking University. He also serves as Director of Center for Brain Inspired Chips. His research interests include memristors, neuromorphic computing, and in-memory computing chips. He has published over 120 papers, as well as 5 book chapters. He was invited to give over 40 keynote/invited talks at international conferences and serves as TPC chair or member for 9 international conferences. He is a recipient of the Qiu Shi Outstanding Young Scholar Award, Wiley Young Researcher Award, MIT Technology Review Innovators Under 35 in China, and the EXPLORER PRIZE. He was recognized as Highly Cited Chinese Researchers by Elsevier in 2020 and 2021.
Jie Xu is an Assistant Scientist at Argonne National Lab since 2018, and a CASE Affiliated Scientist at the University of Chicago. Her research focuses on developing an AI-integrated automated laboratory to accelerate the discovery of a new class of polymer-based electronic materials that are flexible, stretchable, durable, degradable, and easy-to-manufacture for our future electronics. She received the MRS Postdoctoral Award and is named to the MIT Technology Review’s list of Innovators Under 35 (TR35 Global List) and the Newsweek list of America’s Greatest Disruptors as a budding disruptor.
Jason K. Eshraghian
Jason K. Eshraghian is an Assistant Professor with the Department of Electrical and Computer Engineering, University of California, Santa Cruz. Prior to that, he was a Fulbright Post-Doctoral Fellow with the University of Michigan. His research interests include neuromorphic computing, spiking neural networks, and in-memory computing accelerators. He was awarded several IEEE Best Paper and Live Demo Awards, and is the developer of snnTorch, a widely used Python library for training and modeling spiking neural networks.