Jeong Hoon Lee, Ph.D.
Professor
PI, mHealth Lab (mobile health & sensor lab) Department of Electrical Engineering, Kwangwoon University,Nowon, Seoul, 01897 South Korea (Office: Chambit Rm #503)
CTO, Calth Inc. #321, 54, Changeop-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13449 Republic of Korea
Homepage: http://www.mhealthlab.io/
E-mail: jhlee@kw.ac.kr
Office | +82-2-940-8372
Fax | +82-2-940-5141
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)
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Professor KU-KIST Graduate School of Converging Science and Technology, and Department of Integrative Energy Engineering, College of Engineering, Korea University, South Korea (2025.03~)
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Professor Electrical Engineering, Kwangwoon university, South Korea (2018.03-)
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Associate Professor in Electrical Engineering, Kwangwoon university (2013.03-2018.02)
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Assistant Professor in Electrical Engineering, Kwangwoon university (2008.09-2013.02)
CTO (2023.04- Present)
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Calth Inc., South Korea
-be listed on KONEX 2021.11
-now preparing KOSDAQ
CO-founder (2018.03-2023.03)
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Calth Inc., South Korea
Postdoctoral Associate (2005.08- 2008.08)
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EECS, Massachusetts Institute of Technology (MIT), USA
-Advisor: Prof. Jay Han
Postdoctoral Associate (2004.08- 2005.08)
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Microsystem, Korea Institute of Science and Technology (KIST), South Korea
-Advisor: Dr. Tae Song Kim
Research Scientist (in Ph.D course) (1999.03- 2004.03)
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Microsystem, Korea Institute of Science and Technology (KIST), South Korea
-Advisor: Dr. Tae Song Kim
Education
Ph.D. (1999-2004)
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Advanced Material Engineering (Ceramic Engineering), in Yonsei University, Seoul 03722 South Korea
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Advisor: Prof. Ki Hyun Yoon and Dr. Tae Song Kim
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Major: BioMEMS
M.S. (1997-1999)
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Advanced Material Engineering (Ceramic Engineering), in Yonsei University, Seoul 03722 South Korea
B.S. (1993-1997)
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Advanced Material Engineering (Ceramic Engineering), in Yonsei University, Seoul 03722 South Korea
Research Interests
AI-based healthcare
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mhealthcare
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digital healthcare
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Smartphone AI
Precision medicine
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sample preparation,
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molecular POCT
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nanofluidics
Biomimetics
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sensing
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drug screening
Activities
Editor & reviewers
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Book editor by Springer-Natures.“Paper-Based Medical Diagnostic Devices” (2020)
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Review Editor Frontiers Bioengineering and Biotechnology: Lausanne, CH (2020)
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Special Issue editor, ”Recent Advances in High Sensitive Point-of-Care (POC) Diagnostics" in Sensors (MDPI) (2019)
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Editorial board Micromachines (ISSN 2072-666X) (2019~)
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Guest editor Special Issue in Sensors (MDPI) (2019)
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Reviewers: Advanced Materials, Nano Letters, Biosensors and Bioelectronics, Lab Chip, Sensors and Actuators B: Chemical, Biochip, Micromachines, ACS nano, ACS sensor, Analytical Chemistry, IEEE Sensors, RSC, Scientific Reports, ACS Applied Materials & Interfaces, Analytical Sciences, Biosensors, Analyst
Awards
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Outstanding National R&D Achievements of 2024. (Top 12 Achievements in Solving Social Issues among the Top 100) (2025/01)
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Excellent Academic Award (Hwado award) by Kwangwoon University (2019)
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Marquis Who's Who LLC: Berkeley Heights, NJ, US (33rd Edition) by Marquis Who's Who
2016-01-01 to present Membership (2015)
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ACS contributing award (2011)
Members
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board member | KMEMS (2016~)
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board member | BioChips (2016~)
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member | KIM (2016~)
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member | IEEE (2015~)
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member | Specialized Committee on Industrial Technology Protection in Biotechnology : 생명공학분야 산업기술보호전문위원회 (2023~)
Research Summary
111 SCI papers (as of Jan 2024)
including 5 Nature Communications as corresponding author
Technology transfer: IP transferred to industry (2018, 2018, 2020, 2022, 2023)
BEETLES (2023) : 1.5 billion KRW (approx. 1.1 million USD)
Co-founder & CTO of CALTH Inc.,
which was listed on KONEX on Nov 30, 2021, is now preparing for KOSDAQ listing.
Teaching & Classes
Graduate Biosensors, Digital Healthcare, Engineering healthcare, Micro/nano device and systems, Interactive sensor technology, Topics of advanced materials, Nanobio device, IT fusion technology for start-up,, Electronic sensor system. etc.
Undergraduate Electromagnetic, Electronic physics, Semiconductor & Nanofabrication, Sensor Technology, Material Engineering and Microelectronic Processing. Advanced mathematics. Capstone design, Circuit Analysis and Logic Circuit lab, AC and Electronic Circuits Lab. Electrical Engineering Machine Learning Lab etc.
The CV is provided below.