Wooyoung Jang (S’08-M'11) received the B.E. degree in radio science and technology from Kyunghee University, South Korea, in 1998, the M.S. degree in electrical and computer engineering from Yonsei University, South Korea in 2000 and the Ph.D. degree in electrical and computer engineering from the University of Texas at Austin, USA in 2011.
From 2000 to 2013, he was with the System LSI Division, Samsung Electronics, as a Senior Engineer. He is currently an Associate Professor with the Department of Electronics and Electrical Engineering, Dankook University. He has published more than 37 papers in highly referred conferences and journals, and holds four U.S. patents. His current research interests include interconnection networks, computer architecture, low-power SoC design, and machine learning.
He has served in the Technical Program Committee for the IEEE International Conference on Computer-Aided Design (ICCAD), the Technical Program Committee of IEEE International Conference on Computer Design (ICCD), the International Symposium on VLSI Design, Automation and Test (VLSI-DAT), and the International Program Committee of International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics). He has also served as a reviewer in premier journals and conferences, including IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems (TCAD), IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM/IEEE Design Automation Conference (DAC), IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Asian and South Pacific Design Automation Conference (ASPDAC), among others.
-  doctor's degree Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin
- System LSI, Samsung Electronics (2000-02-14)
Artificial-intelligence system (machine learning)
Low-power SoC design
High-performance computing system
Next-generation memory system