李翔傑副教授的簡傳 - Biography of Hsiang-Chieh Lee

李翔傑 Hsiang-Chieh Lee

Photo of Hsiang-Chieh Lee

Dr. Hsiang-Chieh Lee is currently an Associate Professor at the Graduate Institute of Photonics and Optoelectronics (GIPO) and the Department of Electrical Engineering at National Taiwan University (NTU). He received his Bachelor's and Master's degrees in Civil Engineering and Electro-Optical Engineering from NTU in 2004 and 2006, respectively. He then pursued a Ph.D. in Electrical Engineering at the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), focusing on the bioelectronics division, and obtained his doctorate in 2017. Dr. Lee joined NTU as an Assistant Professor in February 2017 and founded the Advanced Biomedical Optical Imaging Laboratory (ABOIL)at GIPO.

Dr. Lee is a member of the Phi Tau Phi Scholastic Honor Society of the Republic of China (R.O.C.) and a recipient of both the Young Scholar Fellowship Program and the Career Development Grant awarded by the Ministry of Science and Technology (MOST, now the National Science and Technology Council, NSTC) and the National Health Research Institutes (NHRI) in Taiwan, respectively. In 2023, he was also honored with the NSTC Ta-You Wu Memorial Award in recognition of his contributions to the field of optics and photonics.

Dr. Lee's current research interests include the development of optical coherence tomography (OCT) and functional OCT imaging technologies for a variety of biomedical applications, such as endoscopy, dentistry, dermatology, oncology, and ophthalmology. In collaboration with the laser industry, he is also working on the development of novel laser light sources for OCT and nondestructive inspection or testing applications. In addition, Dr. Lee has been developing machine learning and artificial intelligence (AI)-based image processing algorithms for biomedical and industrial nondestructive inspection. Recently, his group has focused on creating low-cost yet intelligent imaging instruments that leverage edge computing and heterogeneous computation frameworks.