National University of Singapore
新加坡国立大学教授
elelc@nus.edu.sg
时间：2024. 10. 25 下午14：30-15：30
地点：苏州大学阳澄湖校区行政楼300会议室
题目：Progress in AI Sensors
Abstract:
Leveraging the lightweight, compliant, and comfortable nature of wearable sensors, our group harnesses artificial intelligence (AI) to unlock new realms in personalized healthcare, human-machine interaction, and metaverse immersion through intelligent data analytics. With the fast development of internet of things (IoT), the technology fusion of IoT, microelectromechanical systems (MEMS) and nanosensors leads to a new pathway of ubiquitous sensing in our living environment, manufacturing lines, and city infrastructures. When MEMS/Nanosensors integrated with the artificial intelligence (AI) technology to enable the data analytics at cloud servers, such AI-assisted IoT systems, i.e., artificial intelligence of things (AIoT) system, become reality and achieve a higher level of intelligence for the aforementioned applications. Edge computing aims to reduce unnecessary data transfers and enhance the privacy protection of original sensory information. Hence, in-sensor computing is developed as an emerging approach to achieve the edge computing for IoT sensing systems. In this talk, the progress in the AI sensors and AIoT sensing systems are reviewed and highlighted.
Biography: Dr. Chengkuo Lee is the Global Foundries Chair Professor in Engineering (21’~24’) and director of the Center for Intelligent Sensors and MEMS at the National University of Singapore, Singapore. He co-founded Asia Pacific Microsystems, Inc. (APM) in 2001, where he was Vice President of R&D from 2001 to 2005. From 2006 to 2009, he was a Senior Member of the Technical Staff at the Institute of Microelectronics (IME), A-STAR, Singapore. His research interests include MEMS, NEMS, Nanophotonics, Si Photonics, metamaterials, energy harvesting, wearable sensors, flexible electronics, artificial intelligence of things (AIoT). He has trained 43+ Ph.D. students graduated from the ECE Dept., NUS. He has co-authored 510+ journal articles and 380+ conference papers. His Google Scholar citation is more than 37500. He is also recognized as one of the 21 most influential professors at NUS. Furthermore, he is one of the 39 professors at NUS and one of the 131 researchers in the Engineering field worldwide awarded Highly Cited Researcher Designations in 2023 (Clarivate). His D-index (Discipline H-index) ranks 300th among all electronics and electrical engineering scientists globally (Research.com, Dec. 2022).
