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Personal profile

Education/Academic qualification

PHD, University of Michigan-Ann Arbor

… → 2003

MS, University of Michigan-Ann Arbor

… → 2000

BS, Korea University

… → 1998

Fingerprint Dive into the research topics where Junseok Chae is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Microbial fuel cells Engineering & Materials Science
Microfluidics Engineering & Materials Science
MEMS Engineering & Materials Science
Acoustic resonators Engineering & Materials Science
Proteins Engineering & Materials Science
Accelerometers Engineering & Materials Science
Biosensors Engineering & Materials Science
Biofilms Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2001 2019

2 Citations (Scopus)

A wireless fully-passive acquisition of biopotentials

Liu, S., Meng, X., Zhang, J. & Chae, J., Aug 15 2019, In : Biosensors and Bioelectronics. 139, 111336.

Research output: Contribution to journalArticle

Electrooculography
Learning
Electromyography
Radio
Electrocardiography

Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model

Liu, S., Moncion, C., Zhang, J., Balachandar, L., Kwaku, D., Riera, J. J., Volakis, J. L. & Chae, J., Jan 1 2019, (Accepted/In press) In : ACS Sensors.

Research output: Contribution to journalArticle

recorders
rats
Rats
acquisition
electronics

Wireless Wearable Ultrasound Sensor on a Paper Substrate to Characterize Respiratory Behavior

Chen, A., Halton, A. J., Rhoades, R. D., Booth, J. C., Shi, X., Bu, X., Wu, N. & Chae, J., Jan 1 2019, In : ACS Sensors.

Research output: Contribution to journalArticle

Ultrasonics
sensors
Sensors
Substrates
spirometers
1 Citation (Scopus)

Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition

Karam, L., Borkar, T., Cao, Y. & Chae, J., Jun 26 2018, Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 100-105 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensors
Artificial intelligence
Deep neural networks
Deep learning
2 Citations (Scopus)

Recoverability of electrical conductivity of a Geobacter-enriched biofilm

Dhar, B. R., Ren, H., Chae, J. & Lee, H. S., Oct 31 2018, In : Journal of Power Sources. 402, p. 198-202 5 p.

Research output: Contribution to journalArticle

recoverability
biofilms
Biofilms
electrical resistivity
conductivity

Projects 2004 2022