Publications

see also Google Scholar

Journals & Conferences

Noise-Perturbed Adversarial Training for Hand Gesture Recognition in Surface EMG

Doheun Cha, Dong-Gyu Lee, Sangtae Ahn
under review

Reinforcement Learning-Based Prescribed-Time Fault-Tolerant Fuzzy Optimal Tracking Control for Stochastic Nonlinear Systems and Its Application to Robot Arm

G. Narayanan, Sangmoon Lee, Sangtae Ahn
under review

Observer-based Sampled-data Fuzzy Control for a Class of Fractional-order Nonlinear Systems via Average Delayed Impulses and Its Application

G. Narayanan, Sangtae Ahn, Jae Hoon Jeong, Young Hoon Joo, Mohamed Rhaima
under review

Neural-network-based stochastic faulty estimator sampled data controller for uncertain dynamical multi-agent systems with communication delay and its application to unmanned surface vehicles

Saravanan Shanmugam, G. Narayanan, G. Brundhashree, Karthikeyan Rajagopal, Sangmoon Lee, Sangtae Ahn
under review

Event-triggered Consensus for Fractional-order Multi-agent Systems with Finite-time Control Scheme: Its Application to Interconnected Power Systems

Mourad Kchaoua, G. Narayanan, M. Syed Ali, R. Perumald, Sangtae Ahn, Bandana Priya
under review

Context-aware dynamic integration for scene recognition

Chan Ho Bae, Sangtae Ahn
under review

Multimodal Feature Fusion for Human Activity Recognition Using Human-Centric Temporal Transformers

Samee Ullah Khan, Maryam Sultana, Sufyan Danish, Deepak Gupta, Norah Saleh Alghamdi, Dong-Gyu Lee, Sangtae Ahn
under review

Optimal Fractional Sliding-Mode Control for Fuzzy Systems Based on Actor-Critic Reinforcement Learning Scheme

G. Narayanan, Sangmoon Lee, Sangtae Ahn
under review

Intelligent Resilient Security Control for Fractional-Order Multi-Agent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism

G. Narayanan, Rajagopal Karthikeyan, Sangmoon Lee, Sangtae Ahn
in revision

Secure communication based on an impulsive and event-triggered synchronization control mechanism of fractional-order chaotic complex-valued memristive neural networks

G. Narayananan, M. Syed Ali, Sangtae Ahn, Rajagopal Karthikeyan, Girenggrai Rajchakit, J. Anuwat
in revision

STCNet: Spatio-Temporal Cross Network with Subject-Aware Contrastive Learning for Hand Gesture Recognition in Surface EMG

Jaemo Yang, Doheun Cha, Dong-Gyu Lee, Sangtae Ahn
Computers in Biology and Medicine (2025)

Fractional Impulsive Controller Design of Fractional-Order Fuzzy Systems with Average Dwell-Time Strategy and Its Application to Wind Energy Systems

G. Narayanan, M. Syed Ali, Sangtae Ahn, Young Hoon Joo, Rajagopal Karthikeyan, Girenggrai Rajchakit
Communications in Nonlinear Science and Numerical Simulation (2025)

Adaptive Event-Triggered Stochastic Estimator-Based Sampled-Data Fuzzy Control for Fractional-Order Permanent Magnet Synchronous Generator-Based Wind Energy Systems

G. Narayanan, Sangtae Ahn, Yong Wang, Jae Hoon Jeong, Young Hoon Joo
Expert Systems with Applications (2025)

DAFT-GAN: Dual Affine Transformation Generative Adversarial Network for Text-Guided Image Inpainting

Jihoon Lee, Yunhong Min, Hwidong Kim, Sangtae Ahn
ACM Multimedia 2024

Object Detection in Surveillance Video using EEG with Domain Adaptation Approach

Min-Hu Yun, Hyeonjin Jang, Sangtae Ahn, Hyun-Chul Kim
12th International Winter Conference on Brain-Computer Interface (2024)

Optimizing Prompts using In-Context Few-Shot Learning for Text-to-Image Generative Models

Seunghun Lee, Jihoon Lee, Chan Ho Bae, Myung-Seok Choi, Ryong Lee, Sangtae Ahn
IEEE Access (2024)

TSANet: Multibranch Attention Deep Neural Network for Classifying Tactile Selective Attention in Brain-Computer Interfaces

Hyeonjin Jang, Jae Seong Park, Sung Chan Jun, Sangtae Ahn
Biomedical Engineering Letters (2024)

Experimental Study of Morphological Analyzers for Topic Categorization in News Articles

Sangtae Ahn
Applied Sciences (2023)

Improving the performance of object detection by preserving balanced class distribution

Heewon Lee, Sangtae Ahn
Mathematics (2023)

Individualized Classification of Target Detection in Brain-Computer Interface

Hyeonjin Jang, Min-Hu Yun, Jihoon Lee, Hyun-Chul Kim, Sangtae Ahn
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2023)

Alpha transcranial alternating current stimulation reduces depressive symptoms in people with schizophrenia and auditory hallucinations: a double-blind, randomized clinical trial

Mengsen Zhang, Rachel B. Force, Christopher Walker, Sangtae Ahn, L. Fredrik Jarskog, Flavio Frohlich
Schizophrenia (2022)

STARGen: Story to Art Generation using Fine-tuned Stable Diffusion

Seunghun Lee, Dongyeop Lee, Eunchan Lee, Sangtae Ahn
The 7th Joint Conference of Korean Artificial Intelligence Association (2022)

Individualized Diagnosis of Preclinical Alzheimer’s Disease using Deep Neural Networks

Jinhee Park, Sehyeon Jang, Jeonghwan Gwak, Byeong C. Kim, Jang Jae Lee, Kyu Yeong Choi, Kun Ho Lee, Sung Chan Jun, Gil-Jin Jang, Sangtae Ahn
Expert Systems with Applications (2022)

Development of Next-Generation Parking Management System using Deep Learning

Hee-Won Lee, Kyu-chul Jung, Hyun-Jung Lee, Hye-Won Son, Hee-Jin Yoon, Sangtae Ahn
Korea Institute of Information Technology Conference (2022)

Classification of Severity in Alzheimer's Disease using Deep Learning

Hyeonjin Jang, Sehyeon Jang, Jeonghwan Gwak, Byeong C. Kim, Jang Jae Lee, Kyu Yeong Choi, Kun Ho Lee, Sung Chan Jun, Sangtae Ahn
The Korean Society of Medical & Biological Engineering Fall Conference (2022)

Development of Electronic Device Recognition Model using YOLOv7

Hee-Won Lee, Sangtae Ahn
Annual Conference of Korea Information Processing Society (2022)

Image Generation from Korean Dialogue Text via Prompt-based Few-shot Learning

Eunchan Lee, Sangtae Ahn
The 34th Annual Conference on Human & Cognitive Language Technology (2022)

Improving Text Classification using Korean Text Style Transfer based Data Augmentation

Eunwoo Go, Eunchan Lee, Sangtae Ahn
The 34th Annual Conference on Human & Cognitive Language Technology (2022)

Generating Literature-Style Sentences based on Summarized Text

Bugwang Choe, Eunchan Lee, Sangtae Ahn
The 34th Annual Conference on Human & Cognitive Language Technology (2022)

Prompt-based In-Context Learning for Korean Question and Answering

Eunchan Lee, Sangtae Ahn
Korean Artificial Intelligence Association Summer Conference (2022)

Comparative Study of Multiclass Text Classification in Research Proposals Using Pretrained Language Models

Eunchan Lee, Changhyeon Lee, Sangtae Ahn
Applied Sciences (2022)

Differing dose details and controlling confounding covariates in modulating motor cortex excitability by transcranial direct current stimulation

Flavio Frohlich, Sangtae Ahn
Brain Stimulation (2021)

Transcranial Alternating Current Stimulation Reduces Network Hypersynchrony and Persistent Vertigo

Sangtae Ahn, Diamond Gleghorn, Benjamin C Doudican, Flavio Frohlich, Yoon-Hee Cha
Neuromodulation (2021)

Transcranial Alternating Current Stimulation Entrains Alpha Oscillations by Preferential Phase Synchronization of Fast-Spiking Cortical Neurons to Stimulation Waveform

Wei Huang, Iain Stitt, Ehsan Negahbani, D.J. Passey, Sangtae Ahn, Marshall Davey, Moritz Dannhauer, Thien Doan, Anna Hoover, Angel Peterchev, Susanne Radtke-Schuller, Flavio Frohlich
Nature Communications (2021)

Pinging the Brain with Transcranial Magnetic Stimulation Reveals Cortical Reactivity in Time and Space

Sangtae Ahn, Flavio Frohlich
Brain Stimulation (2021)

Progesterone modulates theta oscillations in the frontal-parietal network

Justin Riddle, Sangtae Ahn, Trevor McPherson, Susan Girdler, Flavio Frohlich
Psychophysiology (2020)

Neurophysiological Substrates of Configural Face Perception in Schizotypy

Sangtae Ahn, Caroline Lustenberger, L. Fredrik Jarskog, Flavio Frohlich
Schizophrenia Research (2020)

Exploring the relationship between geomagnetic activity and human heart rate variability

Matthew Mattoni†, Sangtae Ahn†, Flavio Frohlich
European Journal of Applied Physiology (2020)

Brain-derived neurotrophic factor (BDNF) polymorphism gates the efficacy of tACS to modulate neural oscillations

Justin Riddle, Trevor McPherson, Alana K. Atkins, Christopher P. Walker, Sangtae Ahn, Flavio Frohlich
Brain Stimulation (2020)

Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction

Hyun Jae Baek, Hyun Seok Kim, Minkyu Ahn, Hohyun Cho, Sangtae Ahn
Computational Intelligence and Neuroscience (2020)

Targeting the Autonomic Nervous System Balance in Patients with Chronic Low Back Pain Using Transcranial Alternating Current Stimulation: A Randomized, Crossover, Double-Blind, Placebo-Controlled Pilot Study

Julianna H. Prim†, Sangtae Ahn†, Morgan L. Alexander, Karen L. McCulloch, Flavio Frohlich
Journal of Pain Research (2019)

Targeting reduced neural oscillations in patients with schizophrenia by transcranial alternating current stimulation

Sangtae Ahn, Juliann M. Mellin, Sankaraleengam Alagapan, Morgan L. Alexander, John H. Gilmore, L. Fredrik Jarskog, Flavio Frohlich
NeuroImage (2019)

Identifying and Engaging Neuronal Oscillations by Transcranial Alternating Current Stimulation in Patients with Chronic Low Back Pain: A Randomized, Crossover, Double-Blind, Sham-Controlled Pilot Study

Sangtae Ahn†, Julianna H. Prim†, Morgan L. Alexander, Karen L. McCulloch, Flavio Frohlich
Journal of Pain (2019)

Modulating Neural Oscillations by Transcranial Static Magnetic Field Stimulation of the Dorsolateral Prefrontal Cortex: A crossover, double‐blind, sham‐controlled pilot study

Alec Sheffield, Sangtae Ahn, Sankaraleengam Alagapan, Flavio Frohlich
European Journal of Neuroscience (2019)

Inter-brain phase synchronization during turn-taking verbal interaction – A hyperscanning study using simultaneous EEG/MEG

Sangtae Ahn, Hohyun Cho, Moonyoung Kwon, Kiwoong Kim, Hyukchan Kwon, Bong Soo Kim, Won Seok Chang, Jin Woo Chang, Sung Chan Jun
Human Brain Mapping (2018)

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun
Frontiers in Human Neuroscience (2018)

Multi-modal integration of EEG-fNIRS for brain-computer interface – current limitations and future directions

Sangtae Ahn, Sung Chan Jun
Frontiers in Human Neuroscience (2017)

EEG datasets for motor imagery brain computer interface

Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon, Sung Chan Jun
GigaScience (2017)

Cognitive responses and cortical oscillatory processing at various stereoscopic depths – a simultaneous EEG/MEG study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim, Sung Chan Jun
Journal of Integrative Neuroscience (2017) Journal of Integrative Neuroscience (2017)

Utilization of a combined EEG/NIRS system to predict driver drowsiness

Thien Nguyen†, Sangtae Ahn†, Hyojung Jang, Jae Gwan Kim, Sung Chan Jun
Scientific Reports (2017)

Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim, Sung Chan Jun
NeuroSignals (2016)

Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data

Sangtae Ahn†, Thien Nguyen†, Hyojung Jang, Jae Gwan Kim, Sung Chan Jun
Frontiers in Human Neuroscience (2016)

Steady-state somatosensory evoked potential for brain-computer interface–present and future

Sangtae Ahn, Kiwoong Kim, Sung Chan Jun
Frontiers in Human Neuroscience (2016)

Achieving a hybrid brain-computer interface with tactile selective attention and motor imagery

Sangtae Ahn, Minkyu Ahn, Hohyun Cho, Sung Chan Jun
Journal of Neural Engineering (2014)

Gamma band activity associated with BCI performance - Simultaneous MEG/EEG study

Minkyu Ahn, Sangtae Ahn, Jun Hee Hong, Hohyun Cho, Kiwoong Kim, Bong Soo Kim, Jin Woo Chang, Sung Chan Jun
Frontiers in Human Neuroscience (2013)

High Theta and Low Alpha Powers may be Indicative of BCI-Illiteracy in Motor Imagery

Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun
PLoS ONE (2013)

Brain Game-Application of Brain Computer Interface: Usability Test through the Demonstration

Minkyu Ahn, Sung Chan Jun, Hohyun Cho, Sangtae Ahn
Journal of KIISE (2012)

Comparative Study on Motor Imagery Feature Extraction Algorithms for EEG (Electroencephalograph) based Brain-Computer Interface

Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Sung Chan Jun
Journal of KIISE (2011)



Patents

Apparatus and method for detecting a state of a driver based on biometric signals of the driver
Nam Woong Hur, Seul Ki Jeon, Hyun Sang Kim, Eung Hwan Kim, Sang Tae Ahn, Hyo Jung Jang, Sung Chan Jun
US Patent US10022082B2 (2018) link