웹 콘텐츠 디스플레이 웹 콘텐츠 디스플레이

Professor  Hyunchul Shin

Electronic Engineering and Computer Science, Hanyang University

​- Phone   :   +082 -  031 - 400 - 5176 

- E-mail   : shin@hanyang.ac.kr

​-HomePage : http://digital.hanyang.ac.kr

- Office   : Department of Electronics and Communication Engineering ,
Hanyang University, 1271 Sa-3 dong ,Sangnok-gu, Ansan, Kyeonggi-do, 425-791, Korea

  Education


    Ph.D.(1987) Electrical Engineering and Computer Sciences (EECS), U.C. Berkeley, CA, USA

    M.S. (1980) Electrical Engineering, KAIST, KOREA

    B.S  (1978) Electronics Engineering, Seoul National University, KOREA

 

  Experience


    1
989 ~ present : Professor, Hanyang University

    2014 ~ present : Dirctor, IDEC Campus

    2014 ~ 2017: Chief, Creative Korea II

    2011 ~ 2013: Director, IPC

    2008 ~ 2009 : Director, ITRC

    2008 ~ 2009 : Vice President, Institute of Electronics and Information Eng.

    2008 ~ 2009 : Chairman, Semiconductor Society

    2011: Program Chair, ASP-DAC

    2007: General Chair, ISOCC

   1989 ~ present : IEEE Senior member

   1997 ~ 2008 : Director, IDEC at Hanyang University

   1987 ~ 1989 : MTS, AT&T Bell Lab’s, Murray Hill, N.J., U.S.A

   1985 ~ 1987 : Researcher, ERL, U.C. Berkeley, U.S.A

   1980 ~ 1983 : Full time lecturer, professor, Kumoh University

    2000: Founded a startup in CAD (Warhol Design Systems) in Saratoga, CA, U.S.A.

   

  Short Term Visiting Research

   (1/1993~2/1993)

   - Japan NEC Cerntral Rsearch Center

   (12/1994~2/1995)

   - USA IBM T.J.Watson Research Center Yorktwon Heights

 Technical Advisor (Experience)

    1. Sequence (U.S.A.)                        기술자문위원(Technical Adviser)
    2. Atrenta (U.S.A.)                             기술자문위원(Technical Adviser)
    3. Samsung Electronics Co.(한국)              기술자문위원(Technical Adviser)

 

  Research Interest


   1. SoC Design

   - SoC Design (MPEG, H.264 Design)
   -
VLSI Design Automation
   - Low Power Design Techniques

   2. Image/Vision System Design

   - Image Processing & Computer Vision
   - Vehicle/Pedestrian/Gesture Recognition
   - High Dynamic Range, Noise Reduction