讲座人：韩素婷 教授

讲座题目：Self-powered memristor for biomimetic sensory computing

讲座时间:   2025年11月26日（星期三）下午14：00

讲座地点：大讲堂中心报告厅

讲座摘要：

With the deepening development of the Internet of Things and artificial intelligence, building efficient and low-power bionic perception computing systems has become a cutting-edge research hotspot. In traditional computing architectures, sensing, storage, and processing units are physically separated, and frequent data transfer between them leads to significant latency and power consumption, known as the "von Neumann bottleneck". To address this challenge, this report focuses on the emerging device of self driving memristors and explores its enormous potential in achieving integrated biomimetic sensing and computing. Self driving memristors cleverly integrate energy harvesting, information sensing, and non-volatile storage/computing functions into a single device. Its core lies in the ability to directly convert external environmental stimuli (such as pressure, light, humidity) into electrical signals, and use this signal to synchronously change its own resistive state, thereby encoding sensory information directly into the device's conductivity value. The working mechanism of "sensory storage computing integration" is highly similar to the efficient processing of sensory information by neurons and synapses in the human brain.

个人简介：

Prof. Suting Han is an associate professor in the Department of Applied Biology and Chemical Engineering at The Hong Kong Polytechnic University. She received Ph.D. in Physics and Materials Science from City University of Hong Kong, Hong Kong SAR in 2014. From 2014 to 2016, she was a postdoctoral research fellow at City University of Hong Kong. She joined Shenzhen University in 2016 as associate professor (tenure track) and was promoted to full professor (tenured) in 2021 and then distinguished professor in 2022. She was visiting professor in department of electrical engineering and computer science at the University of Michigan, US in 2019. She joined The Hong Kong Polytechnic University as associate professor (tenured) in 2023. Her research interest includes flash memory, memristor, neuromorphic computing and in-memory computing systems. To date Prof. Han has published over 180 journal articles with 16,800 citations and h-index of 68 (Google Scholar) as first and corresponding author. She is the reviewer for over 50 journal including Science, Nature etc. Prof. Su-Ting Han is an Associate Editor of Journal of Materials Chemistry C and Materials Advances, She is an awardee of NSFC Excellent Young Scientist Fund and she has been listed as world's top 2% scientists by Stanford University (career-long impact). She is also the associate editor of JMCC and Materials Advances.