Insoo Kim, PhD

Assistant Professor, Medicine, UConn Health Center (Affiliate)

Research Overview

My research focuses on developing innovative, disruptive technologies to sense/process physiological signals for therapeutic/assistive devices, disease diagnostics and management, and wearable technology. My particular interests lie in 1) Wireless, wearable, and/or implantable bio-sensors and bio-signal processing for neural interfaces, point-of-care devices, and chronic disease management, 2) Brain signal processing and for brain machine interface and prosthetic devices, 3) mobile/connected healthcare systems.

As an InCHIP affiliate, I would explore problems in bio-sensors and bio-electronic circuits and systems for realizing solutions towards the early prediction, monitoring and treatment of diseases. Specifically, my research directive will be aligned with development of unobtrusive wearable/attachable bio-sensors and implantable devices for closed loop disease control.

Over the past four years at Samsung Research America, Richardson, Texas, I led a research team working on various advanced research projects focusing on analog and RF circuits and system for biomedical devices. In particular, I have been leading the development of a wearable blood pressure sensor using RF radar technology; multi-modal biosensor analog front-end ICs; and brain computer interface devices for an individual’s cognitive state monitoring. I also managed clinical validation projects for bio-impedance analyzer and sleep monitoring sensors with external clinical research groups.


Ph.D., 2009 Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
M.S., 1999 Electrical Engineering, Korea University, Seoul, Korea.
B.S., 1997 Electrical Engineering, Korea University, Seoul, Korea

Featured Publications

Insoo Kim, Ryan Lobo, Johnny Homer and Yusuf A. Bhagat, “Multimodal Analog Front-end for Wearable Biosensors,” IEEE Journal of Sensors. In Press.

Insoo Kim, Miyoung Kim, Taseho Hwang, and Chang Lee, “Outside the Head Thinking: A Novel Approach for Detecting Human Brain Cognition: International Conference on Human-Computer Interaction, 203-208.

Yusuf Bhagat, Insoo Kim, Ahyoung Choi, Justin Young-hyun Kim, Seong Wook Jo and Jaegeol Cho, “Mind Your Composition” IEEE Pulse Magazine, Sep. 28, 2015.

Ahyoung Choi, Justin Younghyun Kim, Seongwook Jo, Jae Hwan Jee, Steven Heymsfield, Yusuf Bhagat, Insoo Kim, Jaegeol Cho, “Smartphone-based Bioelectrical Impedance Analysis Devices for Daily Obesity Management”, Sensors (MDPI), 15(9), pp. 22151-22166, Sep. 2015.

Po-Hsiang Lai and Insoo Kim, “Lightweight Wrist Photoplethysmography for Heavy Exercise: Motion Robust Heart Rate Monitoring Algorithm,” Healthcare Technology Letters, IET Journals, Vol. 2, Issue 1, pp. 6-11, 2015.

Lim, Insoo Kim, N. M. Son, J. Yoo, J. Kim, K. Choi, “Low Power Flash A/D Converter with TIQ Comparators for Multi-Standard Mobile Applications,” International Review of Electrical Engineering, Vol. 4, No. 6, Dec. 2009.

Insoo Kim, Hyunsoo Kim, Flavio Griggio, Richard L. Tutwiler, Thomas N. Jackson, Susan Trolier-McKinstry, and Kyusun Choi, “CMOS Ultrasound Transceiver Chip for High Resolution Ultrasonic Imaging Systems,” IEEE Trans. on Biomedical Circuits and Systems, Vol. 3, No. 5, pp. 293 – 303, Oct. 2009.

Insoo Kim, Jincheol Yoo, JongSoo Kim, and Kyusun Choi, “Highly Efficient Comparator Design Automation for TIQ Flash A/D Converter,” IEICE Trans. on Fundamentals, Vol. E91-A, No. 12, pp. 3415-3422, Dec. 2008.

Contact Information
Mailing AddressUConn Health Center
263 Farmington Ave.
Farmington, CT 06030