Yonghwi Kwon, Ph.D.
BIOGRAPHY
Hi! I'm Yonghwi Kwon, or you can call me Daniel. I am currently working as Staff R&D Engineer at Synopsys, Sunnyvale, CA.
I received Ph.D. in Feb., 2023, from KAIST, EE, advised by Youngsoo Shin. I am recipient of 2022 SPIE Nick Cobb scholarship, 2022 IEEE TSM BPC, 2021 IEEE TSM BPA, 2020 GLSVLSI BPC, and outstanding PhD dissertation award. I am also author of 19 peer-reviewed international publications.
I also love traveling around the world✈️, going to gym🏋️♂️, and taking photos📸.
My main research area is
1) Machine learning-guided physical design
2) Machine learning-based computational lithography
3) DTCO with adopting computational lithography into physical design
Contact: yonghwi.kwon1@gmail.com
Last update: Dec-22-2024
CAREER PROFILE
Staff R&D Engineer
Synopsys, Sunnyvale, CA
Jul. 2023 - current
Research on ML-based computational lithography applications (ILT and modeling)Research Intern
Siemens EDA (former Mentor Graphics), Fremont, CA
Aug. 2022 - Oct. 2022
Research on ML-guided OPC in Calibre groupGraduate Research Assistant
Design Technology Lab (PI: Youngsoo Shin), KAIST, Daejeon, Korea
Mar. 2018 - Feb. 2023
Research on ML-guided physical design and computational lithographyUndergraduate Research Assistant
Design Technology Lab (PI: Youngsoo Shin), KAIST, Daejeon, Korea
Apr. 2017 - Dec. 2017
Research on pre-CTS clock power prediction using MLUndergraduate Research Assistant
Brain/Bio Medical Microsystems Lab (PI: Hyunjoo Jenny Lee), KAIST, Daejeon, Korea
Jan. 2016 - Jun. 2016
FEA and multibody simulation for ultrasonic MEMS
EDUCATION
Korea Advanced Institute of Science and Technology (KAIST)
Ph.D. - M.S. Integrated course, School of Electrical Engineering
Mar. 2018 - Feb. 2023
Thesis: Accelerating Optical Proximity Correction Through Deep Learning (outstanding PhD dissertation award)Korea Advanced Institute of Science and Technology (KAIST)
B.E., School of Electrical Engineering
Mar. 2014 - Feb. 2018