Heasung Kim
Heasung Kim
Email: heasung.kim@utexas.edu
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For more information about me, please Download CV
Research Interests
Information theory, wireless communications, reinforcement learning, neural networks, optimization, SON: algorithms and system model design
Education
Ph.D. Student, Electrical and Computer Engineering, The University of Texas at Austin, Fall 2021-Present
Advisors: Prof. Gustavo De Veciana and Prof. Hyeji Kim
(Received The University of Texas at Austin Engineering Fellowship)
M.S. in Electrical and Computer Engineering, Seoul National University, 2019.
Advisor: Prof. Jungwoo Lee
(Received Distinguished M.S. Dissertation Award (The Best M.S. Dissertation Award in SNU))
B.S. in Computer and Communication Engineering, Korea University, 2017.
Exchange Student, The University of Texas at Austin, Spring, 2016.
Work Experience
Machine Learning Engineer Aug. 2019-May. 2021
Network Analytics Lab, Samsung Networks Business, Samsung Electronics
(Received an Excellent (Highest) Grade in 2020 Performance Appraisal)
Responsibilities:
— Designing reinforcement learning algorithms for self-organizing networks (SON)
— Designing key point indicator prediction models for LTE base stations (data-driven models)
— Networks data analysis, data management, and database construction