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Software Engineer @ LG Electronics

• Embedded System
• Statistics
• Reinforcement Learning
• Education

• 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