Hahnz

AI R&D Engineer

About me

Han Ji Hoon

Jihoon Han is currently graduate student (integrated PhD program) in Department of Biomedical Engineering at SungKyunkwan University. He got Bachelor of Engineering at the Hongik University. He majored in Computer & Information Communication Engineering. He is working in Cocoan lab, Institute for Basic Science(IBS) Center for Neuroscience Imaging Research (CNIR) in Sungkyunkwan University. His research interests include computational neuroscience, clinical neuroimaging(esp. Emotion) and Medical Image Processing(CT, MRI, fMRI).

Now He is focusing on how emotions work on brain and figuring out language can explain someone’s individual status and brain representation by spoken words using Natural Language Processing.

Brief Bio

  • Graduate Course in Department of Biomedical Engineering at SungKyunkwan University 2020.03 ~ Current
    Computational Cognitive Affective Neuroscience Laboratory PI : Choongwan Woo.
  • Bachelor of Engineering : Department of computer information and communication engineering - Hongik University 2020.02
  • Data Scientist of Artificial Intelligence Team in InfiniGru 2019.03 - 2019.12

Publications

  • Sungwoo Lee, Jihoon Han, Choong-Wan Woo, 2022, Modeling pain in the brain with conditional variational autoencoder, Conference on Cognitive Computational Neuroscience, paper
  • Byeol Kim, Jessica R. Andrews-Hanna, Jihoon Han, Eunjin Lee, Choong-Wan Woo, 2022, When self comes to a wandering mind: Brain representations and dynamics of self-generated concepts in spontaneous thought, Science Advences
  • Jessica R. Andrews-Hanna, Choong-Wan Woo, Ramsey Wilcox, Hedwig Eisenbarth, Byeol Kim, Jihoon Han, Elizabeth A. Reynolds Losin, Tor D. Wager, Journal of Experimental Psychology: General, 2021, The Conceptual Building Blocks of Everyday Thought: Tracking the Emergence and Dynamics of Ruminative and Non-Ruminative Thinking, Journal of Experimental Psychology: General, American Psychological Association
  • Eun Ji Choi, Jin Woo Moon, Ji-hoon Han, Yongseok Yoo, 2021, Development of a Deep Neural Network Model for Estimating Joint Location of Occupant Indoor Activities for Providing Thermal Comfort, Energies
  • YongWook Hong, Yejong Yoo, Jihoon Han, Tor D. Wager, Choong-Wan Woo, 2019, False-positive neuroimaging: Undisclosed flexibility in testing spatial hypotheses allows presenting anything as a replicated finding, NeuroImage, Elsevier
  • Jihoon Han, Eunji Choi, Jinwoo Moon and Yongseok Yoo, Human Joints Estimation model through Analysis of Occupant Image based on Deep Neural Network, Proceedings of The Korean Society of Living Environment System 2018 Autumn Annual Conference, pp. 47-48, December 1, 2018. poster

Patents

Contact

  • Cocoan Lab, Sungkyunkwan University - 2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Republic of Korea