Principle Investigator

Soomok Lee, Ph.D (이수목 교수)


I recently joined as an assistant professor in the Department of AI Mobility Engineering and Mechanical Engineering at Ajou University.  My research interest covers artificial intelligence, 2D/3D computer vision, machine learning, sensor fusion and localization in various autonomous mobility platforms. Before joining Ajou University, I performed a machine learning-oriented postdoc researcher at the center of advanced computing and analysis at Harvard University (HMS/MGH), Boston MA. My research interest lies in 2D/3D object detection and tracking, federated learning,  continual learning, domain adaptation, and multi-modal fusion. I also performed as a Director of Software Engineering of ThorDrive US, located in Cincinnati OH, a venture-backed startup creating ground-up, fully autonomous vehicles for point-to-point mobility in airport ramps having project partnerships with Delta affiliates (Unifi), UPS and DHL.  Prior to ThorDrive, I received the B.S. degree in electrical engineering from Sungkyunkwan University and then completed a computer science Ph.D degree at Seoul National University (SNU), Korea. There, I developed algorithms for SNU’s $100K-winning entry in the 2013 Korean Autonomous Challenge, and went on to lead a lot of projects developing not only self-driving modules with LG and Mando, but also the SNU self-driving platform, which was the first urban driving platform in Korea.  

The previous teams Soomok Lee was with.

Working Experience

Assistant Professor @ AI Mobility Engineering(Undergrad.) Artificial Intelligence(Grad.)      2023present

Ajou University, Suwon, Korea


Assistant Professor @ Mechanical Engineering 2022 – 2023

Ajou University, Suwon, Korea


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, 20062013

SungKyunKwan University, Suwon, Korea


English Language Institute, 2010

Queen’s College (CUNY), Queens, NY, United States

Working experience with projects

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

Computer skills:

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)

Languages:

Korean Native

English Professional