I am an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. I am a member of the Wireless Networking & Communications Group (WNCG) and an affiliate of the Machine Learning Laboratory (MLL).
My research interests lie at the intersection of information theory and machine learning. In applying information theory to machine learning, my current focus includes the information theoretic analysis and development of machine learning algorithms. In applying machine learning to information theory, my current focus includes the development of codes for communication and compression via machine learning.
H. Kim received her Ph.D. degree in Electrical Engineering from Stanford University in 2016. She worked as a postdoctoral researcher at the University of Illinois at Urbana-Champaign from 2016 to 2018, after which she served as a researcher at Samsung AI Research Cambridge until 2020. Full CV
News.[Apr 10, 2022] I had the pleasure of giving a tutorial on Physical Layer Communications via Deep Learning at the WCNC 2022 with Yihan Jiang. [Slides]