| With the growing demand for energy-efficient AI applications, the rapid development of MEMS/NOEMS and self-powered sensors together with edge computing and edge AI technology at the sensor nodes has led to the new era of AI sensors. Traditional sensors and sensing systems can no longer meet the demands for real-time multimodal sensing and large-scale data processing, leading to a shift towards a new paradigm of AI Sensors and Artificial Intelligence of Things (AIoT) sensing systems with integrated computational intelligence. The convergence of sensing, computing, and actuation at the chip level is redefining the future of intelligent systems. Recent progress in MEMS/NOEMS technology has unlocked new pathways for embedding reconfigurability, adaptability, and intelligence directly into the physical layer of sensors. This talk explores how emerging microsystems—built at the intersection of MEMS, integrated photonics, and AI—are enabling a new generation of AI sensors optimized for edge intelligence.
Biography
Dr. Chengkuo Lee is an Optica Fellow, GlobalFoundries Chair Professor in Engineering (’22~’25) 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, and artificial intelligence of things (AIoT). He has trained 40+ Ph.D. students graduated from the ECE Dept., NUS. He has co-authored 540+ journal articles and 400+ conference papers. He holds 10 US patents. His Google Scholar citation is more than 47000. His research contributions have been recognized with invited talks and keynotes at various prestigious conferences worldwide. He is also recognized as one of the 21 most influential professors at NUS. Furthermore, he is Highly Cited Researcher Designations in 2023, 2024 and 2025 (Clarivate). He is the associate editor-in-chief of Trans. Nanotechnology (IEEE), editor-in-chief of Intern. J. Optomechatronics (Taylor & Francis), editor-in-chief of npj Self-powered Electronics (NATURE), and editor-in-chief of AI Sensors (MDPI). He is the Executive Editor of J Micromechanics and Microeng. (IOP, UK). He is the Associate Editor of J. MEMS (IEEE), Chip (Elsevier), and Internet of Things (Elsevier).
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