Bokyung Kim, Ph.D. candidate @ Duke
Bokyung Kim is a Ph.D. candidate in Electrical and Computer Engineering at Duke University under the supervision of Prof. Hai (Helen) Li and Prof. Yiran Chen. Her research area focuses on efficient processing-in-memory accelerators for machine learning. She has broad experience in hardware design, spanning different hardware levels through device modeling, mixed-signal VLSI, architecture/system design, and chip fabrication. She won an NSF iREDEFINE professional development award from the ECE Department Heads Association and is a select fellow of EECS Rising Stars and HLF Young Researchers. She will earn her Ph.D. degree in the Spring of 2024.
*I will join the ECE department at Rutgers University as a tenure-track assistant professor in Fall 2024.
AFFILIATION
Advisor: Prof. Hai (Helen) Li and Prof. Yiran Chen
Duke University, Durham, NC, USA
Department of Electrical and Computer Engineering (ECE)
Center for Computational Evolutionary Intelligence (CEI)
RESEARCH INTERESTS
Efficient Hardware Chip, Architecture, and System Design
Machine Learning Accelerator Design based on Conventional and Emerging Memories
Mixed-signal VLSI Design
Device Modeling and Analysis
EDUCATION
Ph.D. candidate, Duke University, NC, USA (-present)
M.S., Ewha Womans University, Seoul, Korea (2019)
B.S., Ewha Womans University, Seoul, Korea (2017)
NEWS
(2024.05) I have been selected to attend the DAC Ph.D. Forum.
(2024.04) I have been selected as one of the Young Researchers at The 11th HEIDELBERG LAUREATE FORUM.
(2023.11) I participated in The 2023 Rising Stars in EECS at Georgia Tech! (Pratt News)
(2023.10) I received the Top 100 Chip Achievement Award.
(2023.10) I was invited to present my talks at Duke University, the University of Wisconsin-Madison (UW-Madison), and the University of Illinois Urbana-Champaign (UIUC).
(2023.10) I have a poster presentation at The 2023 NSF CSR PIs Meeting.
(2023.05) I had a poster presentation at The 2023 ATHENA Annual Review.
(2023.03) I won The iREDEFINE Professional Development Award.
(2023.02) I will be presenting my recent paper "INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators" at 2023 HPCA. See y'all in Montreal!
(2022.01) I won the Duke Graduate School Travel Award and the ECE Conference Travel Fellowship.
(2022.10) My recent project, "INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators", is accepted to appear at HPCA 2023.
(2022.09) I won the 3rd place at the 2022 Duke ECE Workshop Oral Presentation Contest.