Software Engineer @ LG Electronics
- Embedded System
- Statistics
- Reinforcement Learning
- Education
- Grokking Deep Reinforcement Learning (Korean version (namely ๊ทธ๋กํน ์ฌ์ธต ๊ฐํํ์ต)), Hanbit media, October 2021. (Book)
- NuPow: Managing Power on NUMA Multiprocessors with Domain-Level Voltage and Frequency Control, Changmin Ahn, Seungryul Lee, Chanseok Kang, and Bernhard Egger, 17th International Conference on the Economics of Grids, Clouds, Systems and Services (GECON), September 2020. (paper)
- Machine Learning with Tensorflow (Korean version (namely ํ ์ํ๋ก๋ฅผ ํ์ฉํ ๋จธ์ ๋ฌ๋) - Reviewer), Hanbit media, February 2019. (Book)
- Scheduling for Better Energy Efficiency on Many-core Chips, Chanseok Kang, Seungyul Lee, Yong-Jun Lee, Jaejin Lee, and Bernhard Egger, 19th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Hyderabad, India, May 2015. (paper)
- Reinforcement Learning from scratch (revisited), LG Innotek SW Day, hosted by LG Innotek, November 2020.
- Reinforcement Learning from scratch, Software Engineer's Energizing Day (SEED), hosted by LG Electronics, July 2018. (Press)
- Basic NUI Programming with Microsoft Kinect, University of Seoul, October 2012.
- AI Specialist, LG Electronics, 2019 (Press)
- Semi-Finalist at Imagine Cup Kinect Fun Lab, 2012
- Excellent Researcher Award, Ulsan National Institute of Science and Technology, 2011
- Excellent Teaching Assistant Award, Chung-Ang University, 2011
- Machine Learning
- Deep Learning
- Reinforcement Learning