Daewoo Kim
About Me
I am CAIO (Chief AI Officer) in Asleep and lead the AI team. Our team research semi-supervised learning and domain adaption for sleep monitoring and reinforcement learning for sleep improvement.
I was a researcher in Waymo UK where I was mainly working on imitation learning and reinforcement learning for self-driving car. I was a machine learning scientist in Latent Logic. I received Ph.D. in School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). During Ph.D. in LANADA lab. (LeArning in Networking: Algorithm, Design, and Analysis), I'm studying machine learning, fog computing, and optimization on communication networks (advised by Prof. Yung Yi).
Research Interest
Visit [Research page] for detail
Machine Learning - deep reinforcement learning, multi-agent RL, imitation learning
Self Driving Vehicles - machine learning for self driving car and autonomous UAV control
Communication Networks - IoT network, fog computing, network economics
Work Experiences
2022.1 ~ Now: CAIO, learder of AI team, Asleep, South Korea
Research on machine learning based sleep monitoring (semi-supervised learning and domain adaption)
2019.12 ~ 2021.12: Researcher, Waymo UK, Oxford, UK
Research on training a human-like driving agent model for self-driving car using Reinforcement Learning (RL) / Imitation Learning (IL).
Contribute to TensorFlow-based multi-agent self-driving car simulator framework.
2019.08 ~ 2019.12: Machine learning scientist, Latent Logic (Startup for self-driving car), Oxford, UK
Acquired by Waymo
Develop machine learning algorithms for self-driving car (behaviour prediction of human driver from real-world data).
2019.01 ~ 2019.03: Internship, Brookhurst Garage, Inc. (Startup for autonomous drones) San Jose, USA
Implement vision-based autonomous drone control: Autonomous landing on the target.
2016.06 - 2016.08: Research Internship, Nokia Bell Labs., USA
Design network architecture (Fog Operating System) for fog computing and IoT.
Research on analysis of economics in edge network and fog computing.
2012.01 - 2013.01: Internship (Samsung Software Membership), Samsung Electronics, South Korea
Projects Developing mobile game, social media (project leader), and IoT services
2008.12 - 2010.08: NCO, Security Clerk, U.S. Army 41st Signal Battalion, U.S. Forces Korea
Education
Ph.D., Electrical Engineering, KAIST, South Korea, 2013.03 - 2019.08
B.S., Electrical Engineering, Yonsei University, South Korea, 2007.03 - 2013.02
Award
Nokia Bell Labs University Donation Program
Samsung Humantech Thesis Prize Awards: Bronze prize 2019, Encouragement Prize 2018, Gold Prize 2014
Qualcomm-KAIST Innovation Award, Qualcomm, 2013