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CenBRAIN Neurotech专题学术讲座 | Kea-Tiong (Samuel) Tang: Miniature electronic nose systems and applications
时间
2025年1月9日(周四)
10:30-12:00
地点
西湖大学云谷校区E10-205
主持
西湖大学工学院讲席教授 Mohamad Sawan
受众
全体师生
分类
学术与研究
CenBRAIN Neurotech专题学术讲座 | Kea-Tiong (Samuel) Tang: Miniature electronic nose systems and applications
时间:2025年1月9日(周四)10:30-12:00
Time: 10:30-12:00, Thursday, January 9, 2025
地点:西湖大学云谷校区E10-205
Venue:E10-205, Yungu Campus
主持人: 西湖大学工学院讲席教授 Mohamad Sawan
Host: Mohamad Sawan, Chair Professor of School of Engineering, Westlake University
主讲嘉宾/Speaker:
Kea-Tiong (Samuel) Tang教授
国立清华大学
主讲人简介/Biography:
Dr. Kea-Tiong (Samuel) Tang received the Ph.D. degree in electrical engineering from California Institute of Technology, Pasadena, CA, USA in 2001. During 2001-2006, he was a Senior Electrical Engineer with Second Sight Medical Products, Inc., Sylmar, CA, USA, designing mixed signal ASIC for retina prosthetic device. Since 2006, he has joined the Electrical Engineering Faculty at National Tsing Hua University, Hsinchu, Taiwan, and is currently Professor. Dr. Tang served as the Editor-in-Chief of IEEE Transactions on Biomedical Circuits and Systems. He was the Chair of IEEE Taipei Section. He is currently the Vice President of Regional Activities and Membership of IEEE Circuits and Systems Society. His research interests include neuromorphic SoC design, Energy efficient AI accelerator, bio/chemical sensing system, analog and mixed signal IC design, and biomedical SoC design. Prof. Tang was elected IEEE Fellow starting this January 2025.
讲座摘要/Abstract:
Gas sensing has found many applications in our daily life. However, conventional gas analysis methods require examining the gas samples in the laboratory using either a gas chromatography-mass spectrometry (GC-MS) analyzer or a Fourier infrared spectrometer (FT-IR). Although GC-MS and FTIR offer relatively accurate results, they do not suit for monitoring an individual’s daily life since these instruments are bulky and the procedure is time-consuming. A light-weight device with fast and accurate detection is therefore ideal for gas analysis. The electronic nose (e-nose) offers an alternative for gas identification. The e-nose uses an array of sensors to acquire the specific response pattern for each type of gas and identifies this specific pattern for odor classification. Although e-noses are available in the market, the current products are still not popular owing to its massive volume and high cost. This talk will introduce the development of miniaturized gas sensing circuits and systems based on e-nose principle. Gas sensors, interface circuits, system architecture, algorithms, and real-life application scenarios will be discussed.
讲座联系人/Contact:
Yitian(Claire) Zhang
Fangyuan(Tiffany) Tian