Education
MS, Clinical Investigation, Feinberg School of Medicine, Northwestern University, 2007
PhD, Biomedical Engineering, Northwestern University, 2004
MS, Biomedical Engineering, Northwestern University, 2002
BS, Mechanical Engineering, Hanyang University, Seoul, South Korea, 1997
Prior Appointments
Postdoctoral Fellow, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 2005 – 2007
Health Scientist, Centers for Disease Control and Prevention, 2022 – 2025
Research Areas
Medical Device Security, Physically Unclonable Functions, Mobile Health, Hybrid Machine Learning
Biography
Young Kim is a Professor of Biomedical Engineering and a University Faculty Scholar and Showalter Faculty Scholar at Purdue University. His research focuses on integrating physical and digital approaches for hybrid machine learning as well as hardware security for biomedical applications . He received his PhD from Northwestern University and completed postdoctoral training supported by the National Institutes of Health’s National Cancer Institute. He has led a broad range of studies spanning optical imaging, spectroscopy, biomaterials, metamaterials, and cryptographic primitives. His work is rooted in machine learning and artificial intelligence, aiming to enhance mobility, simplicity, and affordability in various digital health and cyberphysical security applications. Specifically, he has pioneered cyber-physical biomedical security technologies for pharmaceutical products and medical devices. The need for serialization, track-and-trace systems, and authentication continues to grow as counterfeiting practices become increasingly sophisticated. His work has focused on integrating hardware security methods such as physically unclonable functions (PUFs) with emerging biomedical applications.
