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

• Sept. 2021 - Present    :  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

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

• 2021 - Present, Editorial Board, Frontiers in Radiology (Artificial Intelligence in Radiology) 

• 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

• 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

• 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

Tutorial, invited talk, and seminar

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

• May 16 & 23, 2024. Introduction to Generative AI, Samsung Electronics, Gumi, Repulbic of Korea.

• Aug. 7-11, 2023. Bootcamp: Hands-on practice on neuroimaging data-based deep learning (tutorial), Kyungpook National University, Daegu, Republic of Korea. 

• Jun. 21, 2023. Transcranial focused ultrasound and its applications (invited talk), Summer workshop, Brain Engineering Society of Korea 2023, Jeju, Republic of Korea.

• Feb. 24, 2023. Pytorch: Classification model based on fMRI Functional Connectivity (Practice: Google Colab), Korean Society for Human Brain Mapping 2023 Winter School, Hongcheon, Republic of Korea.

• Feb. 23, 2023.  PyTorch Introduction (Tutorial), Korean Artificial Intelligence Association 2023, Seoul, Republic of Korea. 

• Feb. 16, 2023. fMRI-based Brain Computer Interface for Mindfulness Neurofeedback (invited talk), 20th Annual World Congress of Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.

• Feb. 4-6, 2023. Winter Bootcamp: Hands-on Practice on Machine/Deep Learning using fMRI & EEG data (tutorial), Kyungpook National University, Daegu, Republic of Korea. 

• Dec. 26, 2022. fMRI Data based Brain Imaging Analysis (invited seminar), Medical Engineering Research Institute, Kyungpook National University, Daegu, Republic of Korea.

• Dec. 9, 2022. Applications of fMRI/EEG-based AI (invited seminar), Hyundai Motor Group, Republic of Korea (online). 

• Nov. 18, 2022. Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging (invited talk), Korean Artificial Intelligence Association & Naver 2022, Seoul, Republic of Korea. 

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

• Oct. 24, 2022. Introduction on Deep Learning Studies in EEG and fMRI (invited seminar),  Korea Brain Research Institute, Daegu, Republic of Korea.

• Oct. 21, 2022. Development of Technology for Evaluation of Neuroplasticity using Functional-structural Brain Imaging (selected as oral presentation), Korean Society for Precision Engineering 2022, Daegu, Republic of Korea.

• Aug. 12, 2022. Introduction on fMRI research (invited seminar), Yonsei University, Seoul, Republic of Korea.

• Jun. 14-Aug. 11, 2022. Bootcamp: fMRI & EEG data analysis (tutorial), Kyungpook National University, Daegu, Republic of Korea. 

• Jun. 26, 2022. Effects of pulse durations of focused ultrasound in stimulating sensorimotor circuitry of awake sheep and humans (invited talk), Summer workshop, Brain Engineering Society of Korea 2022, Jeju, Republic of Korea.

• May 26-27, 2022. PyTorch basic, Neural Network, LSTM, and RNN (tutorial), Korean Artificial Intelligence Association 2022. (online)

• May 13, 2022. Deep neural network-based analysis of fMRI data (invited talk), Korean Society for Human Brain Mapping 2022, Seoul, Republic of Korea

• Mar. 30, 2022. Effects of transcranial focused ultrasound pulse duration on stimulation of sheep and human sensorimotor circuitry (seminar), Brain Imaging Research Community (online).

• Mar. 13, 2022. Effects of pulse durations of focused ultrasound in stimulating motor circuits of awake sheep (invited talk), 19th Annual World Congress of Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA. 

• Feb. 25, 2022. fMRI data analysis using deep neural networks (invited talk), Brain Engineering Society of Korea 2022. (online)

• Feb. 18, 2022. Preprocessing and Basic Analysis for fMRI and EEG Data Using MATLAB (tutorial), OHBM Korea Chapter Program, Korean Society for Human Brain Mapping 2022. (online)

• Dec. 22, 2021. Machine/deep learning techniques for EEG/fMRI data analysis (invited seminar), 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 (invited talk), 17/18th Annual World Congress of Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA.

• Jun. 8, 2021. Focused ultrasound-mediated enhancement of topical lidocaine anesthesia in rats (selected as oral presentation), the 20th Annual International Symposium for Therapeutic Ultrasound (ISTU 2021), Gyeongju, Republic of Korea.

• Nov. 9, 2020. FUS-mediated Functional Modulation of Cortical and Thalamic Motor Areas in Awake Sheep (selected as oral presentation), 7th International Symposium on Focused Ultrasound, Virtual Meeting.

• Oct. 31, 2020. Awake Ovine Model of Brain Stimulation using Transcranial Focused Ultrasound (invited talk), The Korea Society for Therapeutic Ultrasound (KSTU), Republic of Korea.

• Oct. 25, 2019. Introduction of Resting-State Functional Connectivity in fMRI study (invited seminar), Mini-workshop on Skin- / Neuro- Biotechnology, Boston, MA, USA.

• Jul. 3, 2019. Restricted Boltzmann Machine & Autoencoder: Application to Neuroimaging (invited talk), Neuroscience Joint Meeting, Asan Medical Center, Seoul, Republic of Korea.

• Dec. 1, 2018. rtfMRI-Neurofeedback on mindfulness & Deep neural network for emotion prediction (invited tutorial), Fall Catholic University Psychiatry Affective Neuroimaging Lab (CUPAN) NEUROIMAGING Workshop, Seoul, Republic of Korea.

• Oct. 27, 2017. Introduction of real-time fMRI neurofeedback (invited tutorial), Fall Catholic University Psychiatry Affective Neuroimaging Lab (CUPAN) Workshop, Pocheon-si, Republic of Korea.

• Jun. 27, 2017. Deep neural network predicts emotional responses using whole brain neuronal activations (selected as oral presentation), Organization for Human Brain Mapping (OHBM), Vancouver, Canada. 

• Jun. 21, 2017. Algorithms and Hands-on experience using Python-based toolboxes (invited tutorial), Pattern Recognition in Neuroimaging (PRNI), Toronto, Canada.

• Mar. 6, 2017. Evaluation of weight sparsity regularization schemes of deep neuronal networks applied to functional neuroimaging data (invited talk), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, Los Angeles, CA, USA.

• May. 28, 2016. Human emotion estimation from fMRI data using deep neural network (selected as oral presentation), The Korean Society for Cognitive Science (KSCS), Seoul, Republic of Korea.

• Jan. 13, 2015. Desynchronization of the mu oscillatory activity during motor imagery: A preliminary EEG-fMRI study (selected oral abstract), IEEE International Winter Workshop on Brain-Computer Interface (BCI), Jeongseon-gun, Republic of Korea. 

• Nov. 5, 2013. MR Gradient Artifact in the Simultaneous EEG/fMRI: A Preliminary Study (selected as oral presentation), The International Conference on Neural Information Processing (ICONIP), Daegu, Republic of Korea.

Ad hoc manuscript reviewer

• NeuroImage

• Expert Systems With Applications

• Social Cognitive and Affective Neuroscience

• Biomedical Engineering

• Frontiers in Psychiatry

• Translational Psychiatry 

• Neuroscience