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 kaist.ac.kr
Office: NanoSoC S-204



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

Educations
  • 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)

Publications
  • Journal Papers
    1. Pervaiz Kareem, and Youngsoo Shin, "Synthesis of Lithography Test Patterns Using Machine Learning Model," IEEE Transactions on Semiconductor Manufacturing, under review.
    2. 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.
    3. 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, Yonghwi Kwon, Gangmin Cho, and Youngsoo Shin, "Fast prediction of process variation band through machine learning models," Proc. SPIE Advanced Lithography, Feb. 2021, submitted.
    2. Gangmin Cho, Yonghwi Kwon, Pervaiz Kareem, Sungho Kim, and Youngsoo Shin, "Test pattern extraction for lithography modeling under design rule revisions,Proc. SPIE Advanced Lithography, Feb. 2021, submitted.
    3. 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.
    4. 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. 
    5. Pervaiz Kareem, Asim Khan, and Chong-Min Kyung. "Memory efficient self guided image filtering." 2017 International SoC Design Conference (ISOCC). IEEE, 2017.