Software Engineer @ LG Electronics

• Embedded System
• Statistics
• Reinforcement Learning
• Education

• Data-Driven Reinforcement Learning for Optimal Motor Control in Washing Machines, Chanseok Kang, Guntae Bae, Daesung Kim, Kyoungwoo Lee, Dohyeon Son, Chul Lee, Jaeho Lee, Jinwoo Lee, Jae Woong Yun, 2024 IEEE Conference on Artificial Intelligence (CAI), 2024 (paper)
• 실물 환경에서의 데이터 기반 강화학습 적용 방안, 강찬석, 2024 전자공학회지 51 (5) (paper)
• Grokking Deep Reinforcement Learning (Korean version (namely 그로킹 심층 강화학습)), 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 텐서플로를 활용한 머신러닝) - 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