Professor

Ph.D., Dept. of Computer Science and Engineering, Korea University, 2017

M.S., Dept. of Computer Science and Engineering, Korea University, 2011

B.S., Dept. of Computer Science and Engineering, Korea University, 2009

2017.04 - 2019.08

Researcher, Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA

Deep Learning / Machine Learning

Healthcare / Brain Disease Diagnosis

Medical Image Analysis / Neuroimaging

● Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam, “Deep Attentive Spatio-Temporal Feature Learning for Automatic Resting-State fMRI Denoising,” NeuroImage, 119127, 2022.

● T.-E. Kam, H. Zhang, Z. Jiao, and D. Shen, “Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection,” IEEE Transactions on Medical Imaging, Vol. 39, No. 2, pp. 478-487, 2020.

● T.-E. Kam, H.-I. Suk, and S.-W. Lee, “Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis,” Human Brain Mapping, Vol. 38, No. 11, pp. 5804-5821, 2017.

more publications

Global Ph.D. Fellowship, National Research Foundation of Korea, 2011-2013

Best Paper Award, Korea Computer Congress, 2011

Best Paper Award, Korea University, 2011

Topic editor, Frontiers in Human Neuroscience: Neural Decoding for Direct Communication in Brain-Computer Interface, 2023.

Publication Co-Chairs, IEEE International Winter Conference on Brain-Computer Interface, 2021-2023.

Local Organizing Co-Chairs, 6th Asian Conference on Pattern Recognition, 2021.

Local Arrangements Chair, IEEE International Winter Conference on Brain-Computer Interface, 2020.

● "뇌질환 진단을 위한 의료인공지능", 경북대학교 BK21 세미나, 2021년 9월

● "의과학 4차 산업혁명: 의료인공지능 기술 현황-뇌질환 진단 중심으로", 고려대학교 의과대학, 2021년 4월

● "A.I. Techniques for Brain Network Analysis", 고려대학교 안암병원, 2020년 6월

● "의과학 4차 산업혁명: 의료인공지능 기술 현황", 고려대학교 의과대학, 2020년 6월

● "Deep Learning for fMRI Denosing" 대한뇌기능매핑학회 추계학술대회, 2019년 11월.

● "Deep Learning-based fMRI Analysis for Brain Disease Diagnosis", 2019 China-Korea Frontier Symposium on Artificial Intelligence and Brain Science, Oct. 18, 2019.