Projects and Grants per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, University Of Florida
2013
Master of Science, University Of Florida
2009
Bachelor of Engineering, Kyung-Pook National University
2007
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Collaborations and top research areas from the last five years
Projects & Grants
- 2 Finished
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Optimizing FINDERS workflow and refining EEG-fMRI post-processing (RPA Pilot / Seed Project)
Bae, J. (PI), Mirza, F. (CoPI), Koupparis, A. (CoPI), Raslau, F. (CoI), Clay, J. L. (CoI) & Ainger, T. (CoI)
University of Kentucky Neuroscience Research Priority Area
9/26/23 → 12/31/24
Project: Research project
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Evaluation of Postictal Electroencephalogram (EEG) Slowing and Development of a Postictal EEG Source Imaging Technique to Localize Seizure Onset in Epilepsy (RPA Pilot / Seed Project)
Bae, J. (PI), Clay, J. L. (CoI), Raslau, F. (CoI) & Sunderam, S. (CoI)
University of Kentucky Neuroscience Research Priority Area
6/1/23 → 6/30/24
Project: Research project
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Computer vision for kinematic metrics of the drinking task in a pilot study of neurotypical participants
Huber, J., Slone, S. & Bae, J., Dec 2024, In: Scientific Reports. 14, 1, 20668.Research output: Contribution to journal › Article › peer-review
Open Access -
Transforming Alzheimer’s Digital Caregiving through Large Language Models
Kim, S., Han, D. Y. & Bae, J., 2024, In: Current Alzheimer Research. 21, 7, p. 503-516 14 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy
Bae, J., Clay, J. L., Thapa, B. R., Powell, D., Turpin, H., Partovi, S. T., Ward-Mitchell, R., Krishnan, B., Koupparis, A., Owen, M. B. & Raslau, F. D., 2023, In: Journal of Visualized Experiments. 2023, 196, e64919.Research output: Contribution to journal › Article › peer-review
Open Access -
Kernel Temporal Differences for EEG-based Reinforcement Learning Brain Machine Interfaces
Thapa, B. R., Tangarife, D. R. & Bae, J., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. p. 3327-3333 7 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Metric Learning in Freewill EEG Pre-Movement and Movement Intention Classification for Brain Machine Interfaces
Plucknett, W., Sanchez Giraldo, L. G. & Bae, J., Jul 1 2022, In: Frontiers in Human Neuroscience. 16, 902183.Research output: Contribution to journal › Article › peer-review
Open Access