Yonghwi Kwon (권용휘)
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: yh.kwon at kaist.ac.kr
Office: NanoSoC S-204


Personal Information
  • Date of Birth: July 18, 1995 
  • Place of Birth: Seoul, Korea
  • Hobbies: Photography, Exercise
Education
  • KAIST, School of Electrical Engineering Ph.D. (M.S. integrated) (Mar. 2019 - Present)
  • KAIST, School of Electrical Engineering M.S. (Mar. 2018 - Feb 2019)
  • KAIST, School of Electrical Engineering B.S. (Mar. 2014 - Feb. 2018)
  • Daegu Science High school (Mar. 2011 - Feb. 2014)
Research Interests

  • Machine learning guided computational lithography
  • Clock power optimization and estimation
Honors

  1. Excellence award (with ~18k$ funding) @ SK Hynix Open Idea Contest (Nov. 2019)
  2. Invited talk @ Next Generation Lithography (NGL) conference 2019 (Aug. 2019)
  3. Richard Newton Young Fellow Award @ 56th DAC (June 2019)
Publications
  • 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.
  • Conference Papers
  1. Yonghwi Kwon, and Youngsoo Shin, "Optimization of accurate resist kernels through convolutional neural network," Proc. SPIE Advanced Lithography, Feb. 2021, submitted.
  2. 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.
  3. 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.
  4. Sunwha Koh, Yonghwi Kwon, and Youngsoo Shin, "Pre-layout clock tree estimation and optimization using artificial neural network," Proc. Int'l Symp. on Low Power Electronics and Design (ISLPED), Aug. 2020
  5. Wonjae Lee, Yonghwi Kwon, and Youngsoo Shin, "Fast ECO leakage optimization using graph convolutional network," Proc. Great Lakes Symp. on VLSI (GLSVLSI), May 2020
  6. Yonghwi Kwon, Jinho Yang, Sungho Kim, Cheolkyun Kim, and Youngsoo Shin, "SRAF printing prediction using artificial neural network," Proc. SPIE Advanced Lithography, Feb. 2020,
  7. Yonghwi Kwon, Inhak Han and Youngsoo Shin, "Clock gating synthesis of netlist with cyclic logic paths," Proc. Int'l Conf. on Computer-Aided Design (ICCAD), Nov. 2019
  8. Yonghwi Kwon, Youngsoo Song, and Youngsoo Shin, "Optical proximity correction using bidirectional recurrent neural network (BRNN)," Proc. SPIE Advanced Lithography, pp. 109620D-1-109620D-8, Feb. 2019.
  9. Yonghwi Kwon, Jinwook Jung, Inhak Han, and Youngsoo Shin, "Transient clock power estimation of pre-CTS netlist," Proc. Int'l Symp. on Circuits and Systems (ISCAS), pp.1-4, May 2018.