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个人简介
Li-Chia Tai (Member, IEEE) received the Ph.D. degree in electrical engineering and computer sciences from UC Berkeley, Berkeley, CA, USA, in 2020.
Subsequently, he was an Insight Health Data Science Fellow before joining the Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan. In the past six years, he has authored or coauthored articles in top-ranking journals and conferences, such as IEEE IEDM, Advanced Materials Science Advances Nano Letters ACS Nano, and ACS Sensors. His research expertise spans across wearable sensors, biomedical devices, and artificial intelligence for health data analytics. He has developed wearable electronics to monitor pharmaceutical drugs for dosage optimization and other xenobiotic molecules for health analysis. He has integrated machine learning algorithms, optoelectronics, and microfluidics to classify circulating tumor cells for early cancer diagnosis.
研究兴趣
论文共 22 篇作者统计合作学者相似作者
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Getaneh Berie Tarekegn,Li-Chia Tai,Hsin-Piao Lin,Belayneh Abebe Tesfaw,Rong-Terng Juang, Huan-Chia Hsu, Kai-Lun Huang,Kanishk Singh
IEEE Sensors Lettersno. 9 (2023): 1-4
IEEE Sensors Journalno. 9 (2023): 9025-9032
CHEMOSENSORSno. 1 (2022): 22-22
Chien-Hung Fan,Sucharita Khuntia,Sue-Yuan Fan, Po-Hsiang Juan,Getaneh Berie Tarekegn,Jen-Wen Chang,Bing Zhang,Li-Chia Tai
2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )pp.94-98, (2022)
Mallika Bariya,Lu Li, Rahul Ghattamaneni,Christine Heera Ahn,Hnin Yin Yin Nyein,Li-Chia Tai,Ali Javey
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