Prof. Jichai Jeong

Department of Radio Engineering

Korea University, Korea (South)

Email: [email protected]

Qualifications

1988 Ph.D., in Electrical and Computer Engineering, Carnegie Mellon University, USA
1982 M.Sc., in Electrical Engineering, KAIST, Korea (South)
1980 B.Sc., in Electrical Engineering, Korea University, Korea (South)

Publications (Selected)

1. Bak, S. J., Yeu, M., Min, D., et al. (2024). Charitable crowdfunding donation-intention estimation depending on emotional project images using fNIRS-based functional connectivity. Plos One, 19(5), e0303144.
2. Bak, S. J., Park, J., Lee, J., et al. (2023). Memristor-based CNNs for detecting stress using brain imaging signals. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1).
3. Park, J., Shin, J., Lee, J., et al. (2023). Inter-brain synchrony pattern investigation on triadic board game play-based social interaction: An fNIRS study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 2923–2932.
4. Bak, S., & Jeong, J. (2023). User biometric identification methodology via eeg-based motor imagery signals. IEEE Access, 11, 41303–41314.
5. Bak, S. J., Park, J., & Jeong, J. (2023). Investigation of stealing passwords stored in human brain using hemodynamic responses measured by fNIRS. 2023 11th International Winter Conference on Brain-Computer Interface (BCI), 1–2.
6. Bak, S. J., Jeong, Y., Yeu, M., et al. (2022). Brain–computer interface to predict impulse buying behavior using functional near-infrared spectroscopy. Scientific Reports, 12(1), 18024.
7. Hwang, H. G., Pyo, Y., Woo, J. U., et al. (2022). Engineering synaptic plasticity through the control of oxygen vacancy concentration for the improvement of learning accuracy in a Ta2O5 memristor. Journal of Alloys and Compounds, 902, 163764.
8. Pyo, Y., Nahm, S., & Jeong, J. (2022). Classification performances due to asymmetric nonlinear weight updates in analog artificial synapse-based hardware neural networks. 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1–2.
9. Park, J., Shin, J., & Jeong, J. (2022). Inter-brain synchrony levels according to task execution modes and difficulty levels: An fNIRS/GSR study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 194–204.
10. Bak, S. J., Shin, J., & Jeong, J. (2022). Subdividing stress groups into eustress and distress groups using laterality index calculated from brain hemodynamic response. Biosensors, 12(1), 33.
11. Bak, S. J., Yeu, M., & Jeong, J. (2022). Forecasting unplanned purchase behavior under buy-one get-one-free promotions using functional near-infrared spectroscopy. Computational Intelligence and Neuroscience, 2022(1), 1034983.
12. Dong, S., Jin, Y., Bak, S. J., et al. (2021). Explainable convolutional neural network to investigate age-related changes in multi-order functional connectivity. Electronics, 10(23), 3020.
13. Pyo, Y., Woo, J. U., Hwang, H. G., et al. (2021). Effect of oxygen vacancy on the conduction modulation linearity and classification accuracy of Pr0.7Ca0.3MnO3 memristor. Nanomaterials, 11(10), 2684.
14. Bak, S. J., Jeong, J., & Shin, J. (2021). Mutual interaction between genders with stress or non-stress by positive stimulus characteristics using fNIRS. 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1–5.
15. Lee, J. H., Dong, S. H., Jeong, J. C., et al. (2020). Effects of transcranial direct current stimulation over the dorsolateral prefrontal cortex (PFC) on cognitive-motor dual control skills. Perceptual and Motor Skills, 127(5), 803–822.
16. Pyo, Y., Nahm, S., Jeong, J., et al. (2020). Implementation of hardware-based neural network using memristors with abrupt SET and gradual RESET characteristics. 2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1–3.
17. Park, J., Jeong, J., & Shin, J. (2020). Implementation of multi-connected single-channel functional near-infrared spectroscopy system for hyperscanning study. 2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1–2.
18. Bak, S. J., Park, J., Shin, J., et al. (2019). Open-access fNIRS dataset for classification of unilateral finger-and foot-tapping. Electronics, 8(12), 1486.