About Me

Hwasup Lim (임화섭)

Postdoctoral positions are available.

Education

  • Ph.D : Electrical Engineering, Pennsylvania State University, USA (2007)
  • M.S : Electrical Engineering, Pennsylvania State University, USA (2003)
  • B.S : Electronics Engineering, Hanyang University, Korea (2000) (Army Service 1994~1997)

Work Experience

  • [2011 - Present] Principal Research Scientist at Korea Institute of Science and Technology (KIST)
  • [2007 - 2011] R&D Staff Member at Samsung Advanced Institute of Technology (SAIT)
  • [2003 - 2007] Research Assistant at Pennsylvania State University

Awards

  • KIST's Person of the Month, 2018
  • Superior R&D Team Award, Korea Institute of Science and Technology, 2017, 2018
  • Unsung Hero, Korea Institute of Science and Technology, 2015
  • Teaching Award, UST, 2014
  • Excellent Patent Examiner, Samsung Electronics, 2011
  • Innovative Invention Award, Samsung Advanced Institute of Technology, 2010
  • Information and Telecommunication National Scholarship, Korean Ministry of Information and Communication, Fall 2001~Spring 2005

Talks

  • Recent Advances and Trends in Real-time 3D Hand Tracking: A Review, UNIST, 2018
  • Recent Advances and Trends in 3D Hand Tracking : A Review, Kyung hee University, 2016
  • Recent Research and Applications using RGB-D Cameras, UNIST, 2015
  • RGB-D Camera Applications & Research, Kyung hee University, 2014
  • RGBD Image Processing for 3D Modeling and Texturing, Tutorial, International Conference of Image Processing (ICIP), 2013
  • Depth Cameras for Computer Graphics, ACM SIGGRAPH ASIA, Course, 2012
  • Making Your Buzz Alive, Workshop on Color-Depth Camera Fusion in Robotics, International Conference on Intelligent Robots and Systems (IROS), 2012
  • 3D TOF Sensor and Its Application to Object Modeling, Korea University, 2012, Seoul, Korea
  • Novel View Synthesis from a Pair of Color/Depth Images, Digital Broadcasting Workshop 2012, Seoul, Korea
  • ToF (Time of Flight) Depth Sensor Image Processing: from Principle to Applications, Tutorial, International Conference of Image Processing (ICIP), 2011

Teaching

  • Computer Vision and Pattern Recognition, Spring, 2019, UST
  • Machine Learning for Computer Vision, Spring, 2017, UST
  • Computer Vision and Pattern Recognition, Spring, 2016, UST
  • Machine Learning for Computer Vision, Spring, 2015, UST
  • Computer Vision and Pattern Recognition, Spring, 2014, UST
  • Machine Learning for Computer Vision, Spring, 2013, UST
  • Computer Vision and Augmented Reality (with Dr. Hwang), Fall, 2012, UST