Pervaiz Kareem
Ph.D. candidate, μComputing Lab., EE, KAIST

291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
Phone: +82-42-350-5479 / Fax: +82-42-351-9895
Email:  pervaiz at
Office: NanoSoC S-204

Personal Information
  • Date of Birth:  July 31, 1993
  • Place of Birth: D. G. Khan, Pakistan
  • Interests:  Photography, Book Reading

  • COMSATS Institute of Information Technology, B.S. (2011.09 ~ 2015.06)
  • KAIST, Dept of Electrical Engineering M.S. (2015.9 ~ 2017.8)
  • KAIST, Dept of Electrical Engineering Ph.D. (2017.9 ~)

Research Interests
  • Machine Learning for EDA 
  • Design for manufacturability (DFM)

  • Journal Papers
    1. Pervaiz Kareem, Yonghwi Kwon, and Youngsoo Shin, "Layout pattern synthesis for lithography optimizations," IEEE Transactions on Semiconductor Manufacturing, vol. 33, no. 2, pp. 283-290, May 2020.
    2. Khan, Asim, Pervaiz Kareem, and Chong-Min Kyung. "ROM and recursion free high accuracy approximation of base-2 logarithm using MacLaurin series." Electronics Letters 54.10 (2018): 622-624.
  • Conference Papers
    1. Pervaiz  Kareem, Syed Ramiz Naqvi, Chong-Min Kyung," A low error add and shift-based efficient implementation of base-2 logarithm", Proc. Int. Conference on Electrical Engineering (ICEE), March 2017, 1-6.
    2. Woojin Yun, Young-Gyu Kim, Yeongmin Lee, Jinyeon Lim, Wonseok Choi, Muhammas Umar Karim Khan, Asim Khan, Said Homidov, Pervaiz Kareem, Hyun Sang Park, Chong-Min Kyung, " Offset aperture based hardware architecture for real time depth extraction", Int. 2017 IEEE International Conference on Image Processing (ICIP) 2017. 
    3. Pervaiz Kareem, Asim Khan, and Chong-Min Kyung. "Memory efficient self guided image filtering." 2017 International SoC Design Conference (ISOCC). IEEE, 2017.