Personal profile
In Korean
안상태 교수(IT대학 전자공학부)
Education
o (2010) B.S., Chungnam National University
o (2012) M.S., Gwangju Institute of Science and Technology
o (2016) Ph.D., Gwangju Institute of Science and Technology
o (2012) M.S., Gwangju Institute of Science and Technology
o (2016) Ph.D., Gwangju Institute of Science and Technology
Professional Experience
o (2020~Present) Assistant Professor, Kyungpook National University
o (2016~2020) Postdoctoral Researcher, University of North Carolina at Chapel Hill, USA
o (2016~2020) Postdoctoral Researcher, University of North Carolina at Chapel Hill, USA
Research Interests
Brain-Inspired Artificial Intelligence, Neuromodulation, Brain-Computer Interface, Text-to-Image Synthesis, Physical Intelligence
Major Research Achievements
o TSANet: Multibranch Attention Deep Neural Network for Classifying Tactile Selective Attention in Brain-Computer Interfaces
o Individualized Diagnosis of Preclinical Alzheimer’s Disease using Deep Neural Networks
o Transcranial Alternating Current Stimulation Entrains Alpha Oscillations by Preferential Phase Synchronization of Fast-Spiking Cortical Neurons to Stimulation Waveform
o Pinging the Brain with Transcranial Magnetic Stimulation Reveals Cortical Reactivity in Time and Space
o Individualized Diagnosis of Preclinical Alzheimer’s Disease using Deep Neural Networks
o Transcranial Alternating Current Stimulation Entrains Alpha Oscillations by Preferential Phase Synchronization of Fast-Spiking Cortical Neurons to Stimulation Waveform
o Pinging the Brain with Transcranial Magnetic Stimulation Reveals Cortical Reactivity in Time and Space
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Collaborations and top research areas from the last five years
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Adversarially regularized transformer with channel-wise noise for robust hand gesture recognition using surface electromyography
Cha, D., Lee, D. G. & Ahn, S., Mar 2026, In: Biomedical Engineering Letters. 16, 2, p. 463-472 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Embedded machine learning framework for respiratory disease detection
Bijoy, M. H., Fuad, M., Kawsar, H. M. N., Islam, M. T., Hasan, K. & Ahn, S., Mar 2026, In: Biomedical Signal Processing and Control. 113, 109132.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Reinforcement Learning-Based IT-2 Fuzzy Fractional-Order Sliding Mode Control for Leader–Follower Formation Tracking of Flexible-Joint Robots
Narayanan, G., Lee, S. & Ahn, S., Feb 2026, In: IEEE Transactions on Fuzzy Systems. 34, 2, p. 503-516 14 p.Research output: Contribution to journal › Article › peer-review
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Reinforcement Learning-Based Prescribed-Time Fault-Tolerant Fuzzy Optimal Tracking Control for Stochastic Nonlinear Systems and Its Application to Robot Arm
Narayanan, G., Lee, S. & Ahn, S., 2026, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 56, 1, p. 656-670 15 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Adaptive event-triggered stochastic estimator-based sampled-data fuzzy control for fractional-order permanent magnet synchronous generator-based wind energy systems
Narayanan, G., Ahn, S., Wang, Y., Jeong, J. H. & Joo, Y. H., 1 Feb 2025, In: Expert Systems with Applications. 261, 125536.Research output: Contribution to journal › Article › peer-review
13 Scopus citations