Research

I am interested in intelligent systems. At the moment, I am doing my research in reinforcement learning, focusing on transfer learning to gain speed-up in continuous domain. I also love to analyze data patterns for prediction and classification, especially with large data sets.

• Hurricane Prediction with Python, Minwoo Lee, Chuck Anderson, Mark DeMaria, Proceedings of 10th Python in Science Conference (Scipy2011), July, 2011
talk
• Automated Cyber-attack Scenario Generation Using the Symbolic Simulation, Jong-Keun Lee, Min-Woo Lee, Jang-Se Lee, Sung-Do Chi, and Syng-Yup Ohn, AIS 2004, lNAI 3397, pp. 380-389, 2004
• DEVS/HLA-Based Modeling and Simulation for Intelligent Transportation Systems, Jong-Keun Lee, Min-Woo Lee, Sung-Do Chi, SIMULATION, Vol 79, Issue 8, pp. 423-439, August, 2003.
• Unknown Cyber-attack Scenarios Generation Using the Symbolic Simulation, Minwoo Lee, Jang-Se Lee, Jong-Keun Lee, and Sung-Do Chi, IRC International Conference on Internet Retrieval, 2001
• I3D2 Naebu-Expressway Transportation Simulation System, Min-Woo Lee, Myung-hoon Kim, Jong-Keun Lee, Sung-Do Chi, and Byung-Jong Kim, Journal of Korean Society of Transportation, 2001

I3D2

I3D2 is an intelligent transportation system (ITS) that was supported by the Ministry of Science and Technology in Korea. I3D2 is an intelligent, integrated, interactive and distributed microscopic transporation simulation environment. Using discrete event system specification (DEVS) formalism, traffic network, vehicles with drivers, and traffic management sytems are modeled independently and hierarchically. I developed the HLA/DEVS simulation engine (DeSym/HLA) for distributed simulation, models, and the simulation interfaces.

SECUSIM

SEUCSIM is a cyber attack simulation tool that models malicious attacks and defense mechanisms and evaluates the consequences. I developed symbolic simulation engine (SDeSym) to generate autonomous attacks.