Tenure-track Assistant Professor,
Department of Computer Science, Kennesaw State University
I recently joined the Department of Computer Science at Kennesaw State University (KSU) as a tenure-track Assistant Professor. At KSU, my research focuses on self-evolving robot intelligence and trainable spatial representations that autonomously adapt to out-of-distribution environments. My work aims to develop autonomous systems that continuously evolve their internal world models and decision-making capabilities through long-term interaction across generated, augmented, and complex real-world environments.
Prior to joining KSU, I was a tenure-track faculty member in the Department of Mobility Engineering and Mechanical Engineering at Ajou University from 2022.09 to 2026.01. At Ajou University, my research centered on multimodal deep learning, robotic platforms, spatial AI, and computer vision for autonomous mobility systems, with a strong emphasis on real-world deployment and system-level integration. During my appointment at Ajou University, I secured approximately $1M in competitive national and industry research funding in Korea, supporting multiple projects on autonomous driving, intelligent perception, and robotic systems.
Before my faculty career, I conducted machine learning–oriented postdoctoral research at the Center for Advanced Computing and Analysis at Harvard Medical School / Massachusetts General Hospital (HMS/MGH) in Boston, MA, where I worked on advanced machine learning methodologies for large-scale, data-driven systems.
I also served as the Director of Software Engineering at ThorDrive US, a venture-backed startup based in Cincinnati, OH, where I led the development of software systems for fully autonomous vehicles designed for point-to-point mobility in airport ramp environments. In this role, I oversaw the design and deployment of autonomous driving technologies and collaborated on commercial projects with industry partners including Delta affiliates (Unifi), UPS, and DHL.
I received my B.S. degree in Electrical Engineering from Sungkyunkwan University and my Ph.D. degree in Computer Science from Seoul National University (SNU), Korea. During my Ph.D. studies, I developed autonomous driving algorithms for SNU’s $100K-winning entry in the 2013 Korean Autonomous Challenge and subsequently led multiple collaborative projects on self-driving technologies with LG and Mando. I also played a key role in developing the SNU self-driving platform, which became the first urban autonomous driving platform in Korea.
The previous teams Soomok Lee was with.
Working Experience
Tenure-track Assistant Professor 2026 – Present
Department of Computer Science Marietta GA, United States
Kennesaw State University
Tenure-track Assistant Professor 2022 – 2025
Department of Mobility Engineering Suwon, Korea
(affiliated with the Department of AI ('23-present), Department of ME ('22-'23))
Ajou University
PostDoc. Researcher, 2022
Harvard University (MGH/HMS), Boston MA, United States
Director of Software Engineering, 2017 – 2022
ThorDrive, Inc., Cincinnati OH, United States
PhD candidate researcher, 2013 – 2017
SNU Intelligent Vehicle IT Center, Seoul, Korea
Visiting student under CARS visiting professor, 2014
Stanford University, Palo Alto CA, United States
Research Intern, 2012
Hyundai Power-Train Research Center, Hwaseong, Korea
Visiting Student Intern, 2010 – 2011
University of Central Florida, Orlando FL, United States
Data Analysis Intern 2010
BrightPower, Inc., Manhattan NY, United States
Education
Ph. D. degree in Electrical Engineering and Computer Science, 2013 – 2019
Seoul National University, Seoul, Korea
Bachelor of Engineering in Electronic and Electrical Engineering, 2006 – 2013
SungKyunKwan University, Suwon, Korea
English Language Institute, 2010
Queen’s College (CUNY), Queens, NY, United States
Working experience before my faculty career
Harvard University (MGH/HMS), Boston MA, US
2022.06 - 2022.08:
Postdoctoral researcher,
Project: GE Healthcare & Rhino Health
Software Development
- 3D Multi-modal detection on brain aneurysm detection
- Federated learning algorithm development on multi-national clinical data team
ThorDrive, Inc. Cincinnati, OH, US
2019.10 - 2022.05:
Director of Software Engineering,
Project: Self-driving Ground Service Equipment (GSE) development at Airport ramp
- Airport partners: Cincinnati/Northern Kentucky (CVG) and Dayton (DAY) airports
- Service partners: UPS, DHL, and Delta Global Services
Software Development
- Development of fusion-based object detection methods in airport ramps.
- Development of multi-modal context-based object behavior attribute network using thermal, LIDAR, and RGB cameras.
- Development of intersection, airplane stop and go decision-maker, and risk evaluator
Sensor Skills
- RGB(Idscamera, Point Grey), LIDAR (Velodyne, Hesai), Thermal Camera(FLIR), Radar(continental ARS 408-21) and IMU sensors(Xsens)
ThorDrive Korea. Seoul, Korea
2017.9- 2019.10:
Team lead / Senior Perception Engineer,
Self-driving delivery service projects: Developed various self-driving delivery service platforms
- Project Partners: Ace Hardware, an US hardware retailer in CA and Emart, the largest retailer in Korea
Software Development
- Leading algorithm development including object, traffic sign and light, lane marker and parking slot detection and camera distance estimation.
- Development of multi-modal localization system using both LIDAR and cameras
- Managing two projects retrofitting Ford's product car into a self-driving platform
Seoul National University, Vehicle Intelligence Lab
Seoul, Korea
2013.01- 2019.07
Ph. D. Candidate
Project lead, Mar. 2015 – Feb. 2017
“Parking related landmark/space detection and visual localization system using AVM camera,” Funded by LG Electronics, Inc.
- Development of parking space and land-mark recognition system using AVM
- Development of map-based visual localization system for valet parking using AVM
Research Operating Manager, Aug. 2014 – Mar. 2017
Intelligent Vehicle IT center, Funded by National Research Foundation & Ministry of Science, ICT & Future planning, Korea
- Development of lane-based localization system in highly congested road environments.
- Development of road environment recognition algorithms for autonomous taxi platform
Project lead, June. 2013 – Oct. 2015
“Development of Driver Assistant System Using Camera, Radar and Road Characteristics,” Funded by MANDO Co. Ltd. & Ministry of Knowledge Economy, Korea
- Lateral Localization by camera sensor without utilization of a pre-built map
- Lane information fusion using multiple lane detection results from heterogeneous sensors
OS Platforms
Programming
Engineering Tools/Libraries
Project Tools
Linux, MacOS, Windows, ROS
C/C++, Python, Matlab
PyTorch, Tensorflow, OpenCV, PCL, Simulink, MRPT, CANoe
Azure, Git, Atlassian Suite (Jira, Confluence)
Korean Native
English Professional