Experience 

• 2023.03 -  : Professor and Chair, Department of Artificial Intelligence, Yonsei University

• 2023.03 -  2024.03: Associate Dean of Planning, College of Computing, Yonsei University  

• 2023.03 -  : Affiliate Faculty, Department of Oral Maxillofacilal Radiology, School of Dentistry, Yonsei University

• 2022.09 - 2023.02 : Associate Professor, Department of Artificial Intelligence, Yonsei University 

• 2022.09 -  : Affiliate Faculty, Department of Computer Science, Yonsei University

• 2022.08 -  : Founder and CEO, BareuneX Imaging Inc. 

• 2017.03 -  2022.08 : Associate Professor, School of Integrated Technology, Yonsei University 

• 2022.03 -  : Affiliate Faculty, Department of Radiology, School of Medicine, Yonsei University

• 2022.03 -  : Affiliate Faculty, Department of Radiation Oncology, School of Medicine, Yonsei University

• 2018.08 -  : Affiliate Faculty, POSTECH

• 2019.03 - 2020.02 : Visiting Professor at Stanford University, CA, United States

• 2017.01 - 2019.02 : Vice director of Yonsei Institute of Convergence Technology

• 2012.03 - 2017.02: Assistant Professor, School of Integrated Technology, Yonsei University

• 2009.10 - 2011.12 : Postdoctoral Fellow, Dept of Radiology, Stanford University, CA, United States

• 2008.07 - 2008.08  : Consultant, GE Global Research Center, NY, United States

• 2004.09 - 2009.09  : Research Assistant, Lucas Medical Imaging Center, Stanford University, CA, United States

Education

• 2004.09 - 2009.09 : M.S./Ph.D. in Electrical Engineering, Stanford University, CA, United States
  Thesis: Reconstruction aspects and noise properties in inverse geometry and volumetric CT (Advisor : Norbert J. Pelc) 

• 1997.03 -2004.02 : B.S. in Electrical Engineering and Management (minor), Yonsei University, Seoul, Republic of Korea
  Graduated with highest honor (ranked 1 /263)

Research

• X-ray Imaging Systems : Breast cone-beam CT, tomosynthesis, spectral imaging, stationary CT, inverse-geometry CT

• Artifact Correction : Metal artifact reduction, cone-beam artifact correction, scatter correction, motion correction.

• Image Quality Evaluation : X-ray imaging system performance evaluation (i.e., MTF, NPS, NEQ, and DQE), model observer.

• Reconstruction Algorithms : Analytical reconstruction, compressed sensing-based reconstruction, etc.

• Medical Image Processing : Image segmentation, deep learning-based image processing.