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Education

Ph.D in Electrical and Computer Engineering, Ohio State University, 2020
M.S. in Electrical and Computer Engineering, Ohio State University, 2019
M.S. in Computer Science, University of Southern California, 2010
B.S. in Computer Engineering, Hallym University, 2006

Research experience in Academic Projects

August 2017–Current: Research Assistant
- Advisor: Professor Umit Ozguner
- Controls and Intelligent Transportation Reseasrch Lab, Ohio State University
- Developed an online evolving method which makes optimal decisions under unexpected situations via own or shared experiences.
- Studying an online evolving framework to obtain an optimal driving policy/controller in an iterative manner for Automated Vehicle (AV).
  - Project was funded by the Ford Motor Company’s University Research Program (URP) (August 2019 - March 2020)
  - Second phase of the project is funded by the Ford Motor Company (March 2020 - Now).
January 2012–July 2012: Direct Research Student
- Polymorphic Robotics Laboratory, Information Sciences Institute, University of Southern California
- Advisor: Professor Wei-Min Shen
- Researched and developed an optimal algorithm that makes a reconfigurable robot (called SuperBot) to choose the best shape and gait autonomously based on different environments (Link)
May 2011–January 2012: Direct Research Student
- Cognitive Architecture Lab, Institute for Creative Technologies, University of Southern California
- Advisor: Professor Paul Rosenbloom
- Contributed to improve the Graphical Cognitive Architecture (GCA)’s learning and reasoning systems.
- Developed a logical GCA structure for mobile robot’s localization and navigation.
January 2011–May 2011: Direct Research Student
- Computational Neuro-Rehabilitation & Learning Lab, University of Southern California
- Advisor: Professor Scheweighofer Nicolas
- Researched and developed the learning and reasoning system to improve efficiency of rehabilitation processes.
- Developed an intelligent system by using the Bayesian Logistic Regression model, which can recognize and predict patient’s current and future rehabilitation statuses.

Previous Employment

July 2015–May 2017: Research Engineer
- Robot Development Group, New Business Division, HANWHA AEROSPACE, South Korea.
- Hanwha Group acquired Samsung Techwin to expand their defense & security business. Indeed, Hanwha Group became the top ranked defense company in South Korea.
- Project: Unmanned Aerial Vehicle (UAV) Autonomous Flight System
  - Researched a framework of UAV control system for cognition of environmental conditions and optimal controls given missions (e.g., searching and tracking target objects, creating an aerial map).
  - Designed the system configuration for UAV’s autonomous flight (using Pixhawk and Raspberry Pi).
  - Developed a system to create an aerial map by using UAV and a single camera.
  - Demonstration of prototype UAV control system (Link)
August 2012–June 2015: Research Engineer (Unmanned Autonomous Driving System Team)
- Robot Technology Group, Advanced Technology Institute, SAMSUNG TECHWIN, South Korea.
- Hanwha Group acquired Samsung Techwin to expand their defense & security business. Indeed, Hanwha Group became the top ranked defense company in South Korea.
- Project: Autonomous Driving Car (platform: QM5 made by Renault Samsung Motors)
  - Developed lane and curb detection systems: the Artificial Neural Networks is trained to detect lane features under various conditions (camera and laser sensors are used for collecting data).
  - Developed the localization system which can revise GPS positions in real time by detecting sensor’s errors.(Link)
- Project: Off-Road Unmanned Ground Vehicle (UGV), (Link) for surveillance and reconnaissance operations.
  - Developed the object detection system and the traversability mapper by using 3D LIDAR and IMU sensors.
  - Demonstrations, (Link1), (Link2)
- Project: Indoor UGV for factory automation
  - Developed the indoor localization system which recognizes accurate positions without GPS by using stereo camera. (Advanced version), (Link)
  - Developed a line-tracing system by using a single camera (Standard version), (Link)
- Patents
  - Device and method for correcting vehicle position, system for correcting vehicle position by using lane and vehicle capable of manless operation (PCT/KR2014/004299).
  - Lane detection system and method (US 9245188 B2).
- Other Experiences
  - Developed device drivers for sensors under the necessity using Serial and Ethernet protocols.
  - Development Environment: ROS and C++ on Linux.
  - Sensors: GPS/INS (Span-CPT, VN-200), camera (Flea), laser sensor (LMS-151, LMS-511, LD-MRS), LIDAR (Velodyne 64E, 16), Kinect, Tigereyes.
  - Designed and created robot’s mechanism parts by using Solidworks and 3D printer.

Technical and Personal Skills

Programming Languages: Proficient in: C, C++, Matlab, Python, Tensorflow, TeX.
Industry Software Skills: SolidWorks (Advanced), Most Microsoft Office products (Advanced).
General Business Skills: Good presentation skills, Works well within a team.
Interests: Artificial Intelligence, Machine Learning, Robotics, Computer Vision, Multi-agents System (Intelligent Collaboration), Unmanned Ground/Aerial Vehicle System.

Publications

Fusing Symbolic and Decision-Theoretic Problem Solving+ Perception in a Graphical Cognitive Architecture.

Chen, J., Demski, A., Han, T., Morency, L. P., Pynadath, D. V., Rafidi, N., & Rosenbloom, P. S. (2011, October). Fusing Symbolic and Decision-Theoretic Problem Solving+ Perception in a Graphical Cognitive Architecture. In BICA (pp. 64-72).

An Online Gait Adaptation with SuperBot in Sloped Terrains.

Han, T., Ranasinghe, N., Barrios, L., & Shen, W. M. (2012, December). An online gait adaptation with superbot in sloped terrains. In 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1256-1261). IEEE.

Learning via gradient descent in Sigma.

Rosenbloom, P. S., Demski, A., Han, T., & Ustun, V. (2013). Learning via gradient descent in Sigma. In Proceedings of the 12th International Conference on Cognitive Modeling (Vol. 94).

Lane detection & localization for UGV in urban environment.

Han, T., Kim, Y., & Kim, K. (2014, October). Lane detection & localization for UGV in urban environment. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 590-596).

Driving Intention Recognition and Lane Change Prediction on the Highway.

Han, T., Jing, J., & Özgüner, Ü. (2019, June). Driving Intention Recognition and Lane Change Prediction on the Highway. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 957-962).

An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks.

Han, T., Filev, D., & Ozguner, U. (2019). An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks. arXiv preprint arXiv:1908.10823.

An online evolving framework for advancing reinforcement-learning based automated vehicle control.

Han, T., Nageshrao, S., Filev, D., & Ozguner, U. (2020). An online evolving framework for advancing reinforcement-learning based automated vehicle control. arXiv preprint arXiv:2006.08092.

Service and leadership

March 2006–June 2008: First Lieutenant, Secure Information Officer and Platoon Leader
- The Republic of Korea Army
- Led and counseled 40 soldiers for training combat-strategies and executing missions.
- Operated the “military tactic-command and information system”.
- Managed confidential documents.
March 2005–Nov. 2005: Staff member of ROTC cadets
- Reserved Officers’ Training Corps (ROTC), Hallym University
- Managed and counseled 24 cadets in military classes and training.
- Prepared military training and made an annual plan.

Teawon Han

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