Jeong Hoon Lee, Ph.D.

Professor

PI, mHealth Lab (mobile health & sensor lab) in the KU-KIST Graduate School of Converging Science and Technology and the Department of Integrative Energy Engineering,

KOREA UNIVERSITY 145 Anam-Ro, Seongbuk-Gu, Seoul 02841 Republic of Korea

CTO, Calth Inc. #321, 54, Changeop-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13449 Republic of Korea

Homepage: **http://www.mhealthlab.io/**

E-mail: [email protected]

Office | +82-2-3290-5963 Fax | +82-2-921-0688

ORCID: https://orcid.org/0000-0001-7344-6060

google scholar: https://scholar.google.com/citations?user=AeP0iR8AAAAJ&hl=en

My Story

Jeong Hoon Lee is a faculty member in the KU-KIST Graduate School of Converging Science and Technology and the Department of Integrative Energy Engineering at Korea University, South Korea. He earned his B.S. in Advanced Materials Engineering (Ceramic Engineering) from Yonsei University in 1997 and subsequently obtained his Ph.D. from the same institution in 2004. His doctoral and postdoctoral research focused on MEMS (BioMEMS) and Nanomechanics at the Korea Institute of Science and Technology (KIST) from 1999 to 2005. Following a one-year postdoctoral fellowship at KIST, he continued his research as a Postdoctoral Associate in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), USA, from 2005 to 2008. He has been a faculty member at Kwangwoon University since September 2008. In March 2025, he joined Korea University as a faculty member in the KU-KIST Graduate School of Converging Science and Technology and the Department of Integrative Energy Engineering, College of Engineering, where he continues his interdisciplinary research in artificial intelligence and biomedical diagnostics. He co-founded CALTH Inc. in 2018 and has been serving as the Chief Technology Officer (CTO) since 2023.

Professor Lee's research focuses on the development of micro- and nano-scale convergence technologies, with a particular emphasis on integrating electronic and fluidic systems for bio-applied devices. More recently, his work has expanded to mobile healthcare technologies, including AI-driven field diagnostics and smartphone-based point-of-care testing. His research aims to advance personalized diagnostics for precision medicine and improve point-of-care testing methodologies. A key objective of his work is to integrate deep learning algorithms, such as CNN and LSTM, into POCT hardware to realize a truly advanced point-of-care technology. Professor Lee's contributions to the field are demonstrated by his h-index of 35 as of January 2024.

Experience

Professor (2008- Present)

CTO (2023.04- Present)

CO-founder (2018.03-2023.03)

Postdoctoral Associate (2005.08- 2008.08)

Postdoctoral Associate (2004.08- 2005.08)

Research Scientist (in Ph.D course) (1999.03- 2004.03)

Education

Ph.D. (1999-2004)