Research output per year
Research output per year
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
url
Fingerprint
Dive into the research topics where Sangtae Ahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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
9 Scopus citations -
Deep scene understanding with extended text description for human object interaction detection
Hong, H. S., Lee, J. C., Kumar, A., Ahn, S. & Lee, D. G., 1 Jan 2025, In: Expert Systems with Applications. 259, 125297.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Dynamic Adaptive Event-Triggered Mechanism for Fractional-Order Nonlinear Multi-Agent Systems with Actuator Saturation and External Disturbances: Application to Synchronous Generators
Narayanan, G., Baskar, M., Gokulakrishnan, V. & Ahn, S., Feb 2025, In: Mathematics. 13, 3, 524.Research output: Contribution to journal › Article › peer-review
Open Access -
Fractional impulsive controller design of fractional-order fuzzy systems with average dwell-time strategy and its application to wind energy systems
Narayanan, G., Ali, M. S., Ahn, S., Joo, Y. H., Karthikeyan, R. & Rajchakit, G., Jan 2025, In: Communications in Nonlinear Science and Numerical Simulation. 140, 108394.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Intelligent Resilient Security Control for Fractional-Order Multiagent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism
Narayanan, G., Karthikeyan, R., Lee, S. & Ahn, S., Nov 2025, In: IEEE Transactions on Cybernetics. 55, 11, p. 5103-5116 14 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations