报告人：chengkuo lee教授（新加坡国立大学）
报告题目：more than energy harvesting – triboelectric self-powered sensors and self-sustained aiot sensing system
报告时间：2024年12月30日（星期一）16:00
报告地点：独墅湖校区909-b厅
报告摘要：
abundant energy sources of various types are widely distributed in the surrounding environment, which can be converted into electrical energy by micro-nano energy harvesters based on different mechanisms. for vibrational energy sources, including human kinetic energy and kinetic energy existing in the environment, hybrid energy harvesters based on electromagnetic, piezoelectric and triboelectric effects are updated in this talk, respectively. when machine learning (ml) is applied to sensory data analytics at cloud server for numbers of distributed wireless internet of things (iot) sensor nodes, the emerging ml enhanced iot is defined as the artificial intelligence of things (aiot) technology. having the hybrid transducer mechanisms, we can achieve the energy harvesting and self-powered sensing in one aiot sensor node. for example, guo et al., introduced an ai-augmented walking stick as an all-encompassing, real-time monitoring platform tailored specifically for elderly individuals and people with disabilities, where the realized self-sustaining aiot system enables comprehensive monitoring of users by tracking their current motion status and location, and sending out an alert in the event of accidents, offering a holistic caregiving solution. secondly, huang et al. presented the design and characterization of a self-powered piezoelectric aiot sensor node, called icupe, which aims to be used in smart mining, factory automation, industry 4.0, transportation and smart city applications. beyond energy harvesting, few hybrid energy harvesters will be discussed in this talk, where these self-sustained systems can actively function as self-powered sensors and actuators to detect, monitor, interact and respond to the ambient changes induced by environment, moving objects or humans.
个人简介：
c. lee is the director of the center for intelligent sensors and mems (cism) and globalfoundries chair professor in engineering (21’-24’) at the national university of singapore, singapore. he co-founded asia pacific microsystems, inc. in 2000. he was a senior member of the technical staff at the institute of microelectronics (ime), a-star, singapore from 2005 to 2009. his research interests include mems, nems, nanophotonics, si photonics, metamaterials, energy harvesting, wearable sensors, flexible electronics, and artificial intelligence of things (aiot). his research contributions have been recognized with invited talks and keynotes at various prestigious conferences worldwide, and as an ieee ntc distinguished lecturer (2020 and 2021). he is also recognized as one of the 21 most influential professors at nus. furthermore, he is awarded as highly cited researcher designations in 2023 and 2024 (clarivate). his d-index (discipline h-index) ranks 300th among all electronics and electrical engineering scientists globally (research.com, dec. 2022). he has already published 510 articles in top notch journals. his expertise and industry experience have attracted the attention of singapore economic development board (edb) which has appointed him as the task force lead of the mems roadmap in the microelectronics 2.0 roadmap practice since april 2021. his google scholar citation is more than 39000 with an h-index of 106. along with impactful technological innovations, he has trained and graduated 43 ph.d. students so far.
联系人：文震 教授
