PROFESSOR

Hyun-Chul Kim, Ph.D. (ResearchGate, Google Scholar, Frontiers)

Research interest

• Machine/deep learning, Signal processing

• Brain-computer interface, Neurofeedback

• Brain disease diagnosis/prognosis

• Neuromodulation

Work experience

• Oct. 2025 - Present: Associate Professor, Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea.

• Feb. 2023 - Sept. 2025: Assistant Professor, School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea.

• Sept. 2021 - Sept. 2025: Assistant Professor, Dept. of Artificial Intelligence, Kyungpook National University, Daegu, Republic of Korea.

• Sept. 2019 - Aug. 2021:  Postdoctoral Research Fellow, Dept. of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

• Mar. 2019 - Sept. 2019:  Research Professor, Institute of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.

Professional service

• 2026 - Present, Vice Director, AI Bootcamp Project Group, Kyungpook National University

• 2025 - Present, Academic Director, Brain Engineering Society of Korea (BESK)

• 2025 - Present, Administrative Secretary, Korean Society for EEG and Neurophysiology (KEEG)

• 2025 - Present, Information Secretary, Korean Society for Human Brain Mapping (KHBM)

• 2023 - Present, Vice Dean, AI Convergence and Open Sharing System, Kyungpook National University

• 2021 - Present, Review Editor, Frontiers in Radiology (Artificial Intelligence in Radiology) 

• 2024, Session Chiar, Time & Space Perception,  Exploring Cognition with fMRI Korea - Japan Workshop 

• 2024, Session Chair, Advanced Methodologies for BCI, The 12th International Winter Conference on Brain-Computer Interface 

• 2023, Session Chair, Spotlight 1, The 11th International Winter Conference on Brain-Computer Interface 

• 2023, Session Chair, Brain Computer Interface, 20th Annual World Congress of Society for Brain Mapping and Therapeutics (SBMT) 

• 2022 - 2024, Governing Board Member, Korean Society for Human Brain Mapping (KHBM)

• 2021, Program committee member, The International Conference on Neural Information Processing (ICONIP) 2021 

• 2018 - 2023, Abstract reviewer, The International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Award

• Best paper, Dept. of Brain and Cognitive Engineering, Korea University, 2018

• Best poster award, Annual meeting of Organization for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM) 2017

• Best poster award, real-time functional imaging and neurofeedback conference (rtFIN) 2017

• Travel award, rtFIN 2017

• Best poster award, Brain Engineering Society of Korea (BESK) 2017

Awards Received by Supervised Students 

• Best Paper award, Jin-Young Jung (integrated MS&Ph.D. student),  Brain Engineering Society of Korea (BESK) Summer Workshop 2025

• Best Paper award, Jin-Young Jung (integrated MS&Ph.D. student), KNU-EE Research Congress 2025 (KNU-EERC) 2025

• Best Poster award, Jaepil Lee (integrated MS&Ph.D. student),  Brain Engineering Society of Korea (BESK) 2025

• Best Poster award, SoJung Lee (MS student), Brain Engineering Society of Korea (BESK) 2025

• Participation  Award,  Chang-Hoon Pyun (Research Intern), Final Presentation of the Convergent Medical Scientist Undergraduate Research Support Project 2024

• Encouragement Poster Presentation Award (Ji-Hye Lim, BS&MS student), International Conference on Emotion and Sensibility 2023

• Best poster award (Min-Hu Yun, BS&MS student), Brain Engineering Society of Korea (BESK) 2023

• Top Prize (Ji-Hye Lim, BS&MS student), AI Convergence and Open Sharing System Project, 2022

• Best poster award (Jin-Young Jung, MS student), Korean Society for Human Brain Mapping (KHBM) 2022

• Best poster award (Jin-Young Jung, MS student), Brain Engineering Society of Korea (BESK) 2022

Invited Talks

• Sep. 15, 2026 — Toward Foundation Models for Brain Signals: fMRI and EEG Decoding with Multimodal NeuroAI. Korea University, Republic of Korea. [Scheduled]

• Aug. 19, 2026 — Brain-Based Predictive Intelligence: Neural Representation, Individual Differences, and Adaptive Control. KAIST, Republic of Korea. [Scheduled]

• Jun. 23, 2026 — Key Paradigms of AI-Driven Military Transformation and Strategies for AI-Based Decision-Making. K-2 Operations Command Military Innovation Seminar, Kyungpook National University, Daegu, Republic of Korea.

• Apr. 4, 2026 — Whole-Brain Decoding and NeuroAI for AGI Systems. MIGHTY AGI-AX Forum, Sookmyung Women’s University, Seoul, Republic of Korea.

• Dec. 3, 2025 — Adaptive Generalization: Attention Sparsity (Sparceiver) and GCAM for Stable Optimization. Hanyang University, Seoul, Republic of Korea.

• Oct. 24, 2025 — Medical AI Models with Explainability and Reliability. MIGHTY AGI-AX Forum, Kyungpook National University, Daegu, Republic of Korea.

• Oct. 16, 2025 — Integrating AI and Neuroscience: From Decoding to Modulating the Human Brain. Kyungpook National University Hospital, Daegu, Republic of Korea.

• Aug. 19, 2025 — AI-Based Analysis of Functional Magnetic Resonance Imaging. KBRI–KWSE, Daegu, Republic of Korea.

• Jul. 4, 2025 — How to Write a Research Paper Using AI. Korean Foot & Ankle Society, Daegu, Republic of Korea.

• Jun. 22, 2025 — Learn More About the Brain Science That Hits the Nail on the Head. Daegu National Science Museum, Daegu, Republic of Korea.

• Sep. 12, 2024 — Mitigating Catastrophic Forgetting in Transformers Through Gradient Confusion Reduction by Sparse Dynamic Thresholding. KNU–WUT Joint Research Workshop, Daegu, Republic of Korea.

• Aug. 27, 2024 — NeuroAI: An Introduction to Recent Research. Korea Brain Research Institute, Daegu, Republic of Korea.

• Jun. 4, 2024 — An Introduction to Neuroimaging and Its Applications in Deep Learning. CO-WEEK Academy, Keimyung University, Daegu, Republic of Korea.

• May 16 and 23, 2024 — Introduction to Generative AI. Samsung Electronics, Gumi, Republic of Korea.

• Jun. 21, 2023 — Transcranial Focused Ultrasound and Its Applications. Summer Workshop, Brain Engineering Society of Korea, Jeju, Republic of Korea.

• Feb. 16, 2023 — fMRI-Based Brain–Computer Interface for Mindfulness Neurofeedback. 20th Annual World Congress of the Society for Brain Mapping and Therapeutics, Los Angeles, CA, USA.

• Dec. 26, 2022 — fMRI Data-Based Brain Imaging Analysis. Medical Engineering Research Institute, Kyungpook National University, Daegu, Republic of Korea.

• Dec. 9, 2022 — Applications of fMRI- and EEG-Based AI. Hyundai Motor Group, Online.

• Nov. 18, 2022 — Deep Neural Network Predicts Emotional Responses of the Human Brain from Functional Magnetic Resonance Imaging. Korean Artificial Intelligence Association & NAVER 2022, Seoul, Republic of Korea.

• Nov. 5, 2022 — Deep Learning Methods in fMRI Data Analysis. 10th International Congress on Magnetic Resonance Imaging, Seoul, Republic of Korea.

• Oct. 24, 2022 — Introduction to Deep Learning Studies in EEG and fMRI. Korea Brain Research Institute, Daegu, Republic of Korea.

• Aug. 12, 2022 — Introduction to fMRI Research. Yonsei University, Seoul, Republic of Korea.

• Jun. 26, 2022 — Effects of Pulse Durations of Focused Ultrasound in Stimulating Sensorimotor Circuitry of Awake Sheep and Humans. Summer Workshop, Brain Engineering Society of Korea, Jeju, Republic of Korea.

• May 13, 2022 — Deep Neural Network-Based Analysis of fMRI Data. Korean Society for Human Brain Mapping, Seoul, Republic of Korea.

• Mar. 30, 2022 — Effects of Transcranial Focused Ultrasound Pulse Duration on Stimulation of Sheep and Human Sensorimotor Circuitry. Brain Imaging Research Community, Online.

• Mar. 13, 2022 — Effects of Pulse Durations of Focused Ultrasound in Stimulating Motor Circuits of Awake Sheep. 19th Annual World Congress of the Society for Brain Mapping and Therapeutics, Los Angeles, CA, USA.

• Feb. 25, 2022 — fMRI Data Analysis Using Deep Neural Networks. Brain Engineering Society of Korea, Online.

• Dec. 22, 2021 — Machine and Deep Learning Techniques for EEG/fMRI Data Analysis. Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.

• Jul. 9, 2021 — Transcranial Focused Ultrasound Modulates Cortical and Thalamic Motor Areas in Awake Sheep. 17th/18th Annual World Congress of the Society for Brain Mapping and Therapeutics, Los Angeles, CA, USA.

• Oct. 31, 2020 — Awake Ovine Model of Brain Stimulation Using Transcranial Focused Ultrasound. Korean Society for Therapeutic Ultrasound, Republic of Korea.

• Oct. 25, 2019 — Introduction to Resting-State Functional Connectivity in fMRI Studies. Mini-Workshop on Skin/Neuro-Biotechnology, Boston, MA, USA.

• Jul. 3, 2019 — Restricted Boltzmann Machines and Autoencoders: Applications to Neuroimaging. Neuroscience Joint Meeting, Asan Medical Center, Seoul, Republic of Korea.

Tutorials and Workshops

• May 15, 2026 — Hands-On Workshop on Deep Learning for fMRI Data Analysis. Korean Society for Human Brain Mapping, Daegu, Republic of Korea.

• Dec. 6, 2024 — EEG Analysis Using Artificial Intelligence. Korean Society for EEG and Neurophysiology, Seoul, Republic of Korea.

• Aug. 7–11, 2023 — Bootcamp: Hands-On Practice in Neuroimaging Data-Based Deep Learning. Kyungpook National University, Daegu, Republic of Korea.

• Feb. 24, 2023 — PyTorch: Classification Models Based on fMRI Functional Connectivity—Hands-On Practice Using Google Colab. Korean Society for Human Brain Mapping Winter School, Hongcheon, Republic of Korea.

• Feb. 23, 2023 — Introduction to PyTorch. Korean Artificial Intelligence Association, Seoul, Republic of Korea.

• Feb. 4–6, 2023 — Winter Bootcamp: Hands-On Practice in Machine and Deep Learning Using fMRI and EEG Data. Kyungpook National University, Daegu, Republic of Korea.

• Jun. 14–Aug. 11, 2022 — Bootcamp: fMRI and EEG Data Analysis. Kyungpook National University, Daegu, Republic of Korea.

• May 26–27, 2022 — PyTorch Basics, Neural Networks, LSTMs, and RNNs. Korean Artificial Intelligence Association, Online.

• Feb. 18, 2022 — Preprocessing and Basic Analysis of fMRI and EEG Data Using MATLAB. OHBM Korea Chapter Program, Korean Society for Human Brain Mapping, Online.

• Dec. 1, 2018 — Real-Time fMRI Neurofeedback for Mindfulness and Deep Neural Networks for Emotion Prediction. Fall CUPAN Neuroimaging Workshop, Catholic University Psychiatry Affective Neuroimaging Laboratory, Seoul, Republic of Korea.

• Oct. 27, 2017 — Introduction to Real-Time fMRI Neurofeedback. Fall CUPAN Workshop, Catholic University Psychiatry Affective Neuroimaging Laboratory, Pocheon, Republic of Korea.

• Jun. 21, 2017 — Algorithms and Hands-On Experience Using Python-Based Toolboxes. Pattern Recognition in Neuroimaging, Toronto, Canada.

Selected Oral Presentations

• Oct. 21, 2022 — Development of Technology for the Evaluation of Neuroplasticity Using Functional and Structural Brain Imaging. Korean Society for Precision Engineering, Daegu, Republic of Korea.

• Jun. 8, 2021 — Focused Ultrasound-Mediated Enhancement of Topical Lidocaine Anesthesia in Rats. 20th Annual International Symposium for Therapeutic Ultrasound, Gyeongju, Republic of Korea.

• Nov. 9, 2020 — Focused Ultrasound-Mediated Functional Modulation of Cortical and Thalamic Motor Areas in Awake Sheep. 7th International Symposium on Focused Ultrasound, Virtual Meeting.

• Jun. 27, 2017 — Deep Neural Network Predicts Emotional Responses Using Whole-Brain Neuronal Activations. Organization for Human Brain Mapping Annual Meeting, Vancouver, Canada.

• Mar. 6, 2017 — Evaluation of Weight Sparsity Regularization Schemes for Deep Neural Networks Applied to Functional Neuroimaging Data. IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, USA.

• May 28, 2016 — Human Emotion Estimation from fMRI Data Using a Deep Neural Network. Korean Society for Cognitive Science, Seoul, Republic of Korea.

• Jan. 13, 2015 — Desynchronization of Mu Oscillatory Activity During Motor Imagery: A Preliminary EEG–fMRI Study. IEEE International Winter Workshop on Brain–Computer Interface, Jeongseon, Republic of Korea.

• Nov. 5, 2013 — MR Gradient Artifacts in Simultaneous EEG–fMRI: A Preliminary Study. International Conference on Neural Information Processing, Daegu, Republic of Korea.

Ad hoc manuscript reviewer

• NeuroImage, IEEE Transactions on Neural Systems & Rehabilitation Engineering , IEEE Transactions On Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics, Expert Systems With Applications, Social Cognitive and Affective Neuroscience, Biomedical Engineering, Frontiers in Psychiatry, Translational Psychiatry , Neuroscience, Biomedical Engineering Letters, Psychiatry Investigation, BMC Psychiarty, Current Psychology, Experimental Neurobiology and etc...

Teaching 

• 2026-1, MOBI22301, Deep learning (Undergraduate) 

• 2026-1, COMP0739, Advanced Artificial Intelligence (Graduate) 

• 2025-2, COMP0739, Advanced Artificial Intelligence (Graduate) 

• 2025-2, CAIB0234, Introduction to Neural Networks (Undergraduate)

• 2025-2, ITEC0514, Introduction to Brain and Cognitive Engineering (Undergraduate)

• 2025-1, MOBI22301, Deep learning (Undergraduate) 

• 2025-1, ARIN707001, Advanced Medical Image Processing (Graduate) 

• 2024-2, CAIB0234, Introduction to Neural Networks (Undergraduate)

• 2024-2, ARIN703001, Medical Image Processing (Graduate)  

• 2024-1, MOBI22301, Deep learning (Undergraduate) 

• 2024-1, ARIN707001, Advanced Medical Image Processing (Graduate) 

• 2023-2, ELEC0253, Introduction to Electrical and Electronic Engineering (Undergraduate)

• 2023-2, ARIN703001, Medical Image Processing (Graduate)  

• 2023-1, MOBI22301, Deep learning (Undergraduate) 

• 2023-1, ARIN707001, Advanced Medical Image Processing (Graduate) 

• 2022-2, CAIB208001, Undergraduate Research Project 1(AI) (Undergraduate) 

• 2022-2, ARIN703001, Medical Image Processing (Graduate) 

• 2022-1, MOBI22301, Deep learning (Undergraduate) 

• 2022-1, ARIN707001, Advanced Medical Image Processing (Graduate) 

• 2021-2, CAIB206001, Advanced Programming for AI 1 (Undergraduate) 

• 2021-2, ARIN703001, Medical Image Processing (Graduate)