Email: kimkyungdo08@gmail.com
Areas of Interest:Bio / Medical / Healthcare Informatics, Artificial Intelligence, Machine Learning, Biomedical Big Data
Education
(2021.03 ~ 2022.02) Trainee for Transdisciplinary Department of Medicine &Advanced Technology (Ph.D track), Transdisciplinary Institute of Medicine & Advanced Technology,
Seoul National University Hospital, Seoul, Korea.
(2019.03 ~ 2021.02) M.S. Interdisciplinary major of Cognitive Science (focused on AI, Robotics / Robot Learning Lab), Seoul National University, Seoul, Korea.
(2011.03 ~ 2018.02) B.S. Material Science and Engineering, Seoul National University, Seoul, Korea.
Research Experiences
(2019.09 - 2021.02) Master Researcher, Robot Learning Lab, Department of Electrical and Computer Engineering, Seoul National University, Korea.
(2019.04 - 2019.10) Research Administrator, Institute of Cognitive Science, Seoul National University, Korea.
(2019.04 - 2019.07) Intern Researcher, Spoken Language Processing Lab, Seoul National University, Korea.
(2018.06 - 2018.08) Intern Researcher, Data Mining Lab, Seoul National University, Korea.
(2016.12 - 2017.01) R&D Intern Researcher, Namyang R&D Center, Hyundai Motor Group, Korea.
(Research Projects)
(2021 - 2022) Multiple healthcare related projects in the largest hospital in Korea (Seoul National University Hospital)
(2019 - 2021) [SW Star Lab] Robot Learning: Efficient, Safe, and Socially-Acceptable Machine Learning / Ministry of Science and ICT (MSIT).
(2019 - 2021) Realistic 4D Reconstruction of Dynamic Objects / Ministry of Science, ICT, and Future Planning (MSIP).
(2019) Brain-Inspired AI with Human-Like Intelligence / Ministry of Science and ICT (MSIT).
Publications
(First Author) Park Ji Soo+, Kyungdo Kim+, Ji Hye Kim, Yun Jung Choi, Kwangsoo Kim, and Dong In Suh. "A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model," Scientific Reports 13, no. 1: 1389, 2023.
(First Author) Shin Daun+, Kyungdo Kim+, Seung-Bo Lee, Changwoo Lee, Ye Seul Bae, Won Ik Cho, Min Ji Kim et al. "Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker," Frontiers in psychiatry, 13, 2022.
(Lead Author) Kyungdo Kim+, Yoon Kyung Lee+, Hyemin Ahn, Sowon Hahn, and Songhwai Oh, "Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.
(Co-author) Hyemin Ahn+, Obin Kwon+, Kyungdo Kim, et al., "Visually Grounding Language Instruction for History-Dependent Manipulation", in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2022.
Under review papers
(First Author) “PRISM: Personal Grouping Method for Reducing Inter-Subject Variability by Using Deep Metric Learning“
(Co-first Author) “Improving Clinical Decisions on Computed Tomography for Pulmonary Thromboembolism in Patients With Gastrointestinal Cancer Using Machine Learning“
(Co-first Author) "Building TOMAS: Theory of Mind for Autonomous-driving Systems"
Teaching Experience
(2020.03~2020.07) Teaching Assistant, Theory and Practice of IoT, Artificial Intelligence, Big Data, Department of Engineering, Seoul National University.
Professional Work Experience
(2021.03 ~ ) Medical AI Researcher, Seoul National University Hospital.
(2020) Technical Consultant, WheelsideKick (Personal mobility Startup).
(2019.01 ~ 2019.02) Research Analyst, BCG (Boston Consulting Group).
(2017.02 ~ 2018.12) Chief Technology Officer (CTO), TAG Solution (Tech Ventures, Transparent LED Display and IoT solution).
(2016.03 ~ 2016.12) Founder and Core Web Developer, Serengeti, JEM, Gooddaylogis.
(2015.12 ~ 2016.03) Intern, ATeam Ventures (3D-Printing Ventures).
Others
(2018.06) Invited Lecturer, Campus CEO Talk, Seoul National University and Seoul Business Agency.
(2018.03) Invited Lecturer, LikeLion.
