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Nam Sung Kim

Nam Sung Kim 

(CV)


Nam Sung Kim is an Associate Professor at the University of Wisconsin-Madison. He has been conducting interdisciplinary research that cuts across device, circuit, and architecture for power-efficient computing. His research has been supported by National Science Foundation (NSF), Semiconductor Research Corporation (SRC), Defense Advanced Research Project Agency (DARPA), AMD, IBM, Samsung, Microsoft, and Korean Ministry of Education, Science, and Technology; his total project funding amount exceeds $3M to date. Prior to joining the University of Wisconsin-Madison, He was a senior research scientist/CPU architect at Intel from 2004 to 2008, where he conducted research in power-efficient digital circuit and processor architecture. Nam Sung Kim has published nearly 100 refereed articles to highly-selective conferences and journals in the field of digital circuit, processor architecture, and computer-aided design. The top five most frequently cited papers have more than 2500 combined citations and  the total number of combined citations of all his papers exceeds 3500. He also has more than 20 issued/pending patents. Nam Sung Kim has been the recipient of IEEE Design Automation Conference (DAC) Student Design Contest Award in 2001, Intel Fellowship in 2002, and IEEE International Conference on Microarchitecture (MICRO) Best Paper Award in 2003, NSF CAREER Award in 2010, and IBM Faculty Award in 2011 and 2012. His current research interest is biomimetic and neuromorphic computing for cyber-physical systems and designing robust, low-power computing. He is an IEEE senior member and holds a Ph.D. in Computer Science and Engineering from the University of Michigan-Ann Arbor, and both an M.S. and a B.S. in Electrical Engineering from Korea Advanced Institute of Science and Technology. He was promoted to an Associate Professor as an early tenure case.
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Current Graduate Students 
  1. Hamid Ghasemi, Multi-core CPU architecture, Ph.D. (expected 2014)
  2. David Palframan*, Fault-tolerant computing, Ph.D. (expected 2015)
  3. Hao Wang, CPU+GPU computing, Ph.D. (expected 2015)
  4. Amin Farmahini*, Accelerator, Ph.D. (expected 2015)
  5. Zhenhong Liu, Approximate computing accelerator, Ph.D. (expected 2017)
  6. Ahmed Helmy, Bio-inspired circuits, Ph.D. (expected 2017)
  7. Hadi Moghaddam, Neuromorphic hardware, Ph.D. (expected 2017)
  8. Michael Mishkin, CPU+GPU computing, Ph.D. (expected 2017)
  9. Austen Ott*, Neuromorphic hardware, M.S. (expected 2014)
  10. Srinivasan N., Low-power digital circuits, M.S. (expected 2014)
  11. Albert Li, Algorithm/HW  for neuromorphic computing, M.S. (expected 2014)
  12. Ashish Maurya, Multi-core CPU architecture, M.S. (expected 2014)
  13. Rasika Joshi, Approximate computing, M.S. (expected 2014)
  14. Suolong Dong, Approximate computing, M.S. (expected 2014)
  15. Gokul Subramanian, GPU architecture, M.S. (expected 2015)
* co-advised students.

Alumni
  1. Jungseob Lee (Ph.D.), 2013. Currently at Intel.
  2. Daniel W. Chang (Ph.D.), 2013. Currentlly at Rose-Hulman Institute of Technology
  3. Syed Gilani (Ph.D.), 2012. Currently at AMD
  4. Abhishek Sinkar (Ph.D.), 2012. Currently at Oracle
  5. Ripudaman Singh (M.S.), , 2013. Currently at Qualcomm
  6. Suriyhaprakhas Sankari (M.S.), 2013. Currently at Qualcomm
  7. Rahul Srikumar (M.S.), 2013. Currently at Oracle
  8. Vijay Sathish, 2012 (M.S.). Currently at Oracle
  9. Krishna B. Kolluru (M.S.), 2011. Currently at Intel
  10. Paritosh Ajgaonkar (M.S.), 2011. Currently at Intel
  11. Shi-Ting Zhou (M.S.), 2010. Currently MIA
  12. Andrew J. Eley (M.S.), 2009. Currently MIA