Prof. Jaeseok Kim received B.S degree from Yonsei University in Korea, M.S degree from KAIST in Korea and Ph. D degree from RPI, USA in 1988. From 1988 to 1993, he was a member of technical staff at the AT&T Bell Lab., Murray Hill, NJ, USA. He is currently a professor of the electrical and electronic engineering department at Yonsei University, Seoul, Korea.
He was the best research achievement professor of year 2006 at Yonsei University and received the best brain award in Korea semiconductor technology area in 2005.
He has published more than a hundred refereed papers with five text books in electrical engineering area. He holds 45 patents and transferred 5 patents to ten companies.
He is now serving as a distinguished lecturer of IEEE Circuit & System society. His current research interests include wireless communication So C design, high performance video codec and image signal processing algorithm and So C platform architecture.
Prof. Hyunchul Shin received B.S. degree and M.S. degree, from SNU and KAIST, respectively and Ph. D degree from U.C. Berkeley in 1987. He received Fulbright Scholarship. From 1987 to 1989, he was a member of technical staff at the AT&T Bell Lab., Murray Hill, NJ, USA. Since 1989, he has been a professor of the Department of Electronics Engineering at Hanyang University, Ansan, Korea. He has published more than a hundred technical papers and holds 15 patents. He worked as a Technical Adviser for several companies, including Samsung Electronics Co. and Atrenta. He served as General Chair of ISOCC 2007 and as Program Chair of ASP-DAC 2011. He is the president of IDEC Platform Center at Hanyang University. His research interests include So C design, Computer Aided Design and Design and Synthesis of Integrated Systems for Vision and Image Processing applications.
1 كتب إلكترونية بواسطة Hyunchul Shin
Jaeseok Kim & Hyunchul Shin: Algorithm & SoC Design for Automotive Vision Systems
An emerging trend in the automobile industry is its convergence with information technology (IT). Indeed, it has been estimated that almost 90% of new automobile technologies involve IT in some form. …
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