Kwangyeon Kim
Research Area
Safety guaranteed machine learning
Air traffic management
Education
2013 -- Present: Ph.D. student in Aeronautics and Astronautics, Purdue University, West Lafayette, IN
2006 -- 2008: M.S. in Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
2002 -- 2006: B.S. in Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Work Experience
2008 - 2013, Academic Instructor, Republic of Korea Air Force Academy, South Korea
Publications
Journal publications
Intent-Based Detection and Characterization of Aircraft Maneuvers in En-Route Airspace, AIAA Journal of Aerospace Information Systems, (2018), K.Kim and I. Hwang
Cooperative Multi-Agent Based Algorithm for Evacuation Planning for Victims with Different Urgency, AIAA Journal of Aerospace Information Systems (2018), B. Oh, K. Kim, H. Choi, and I. Hwang
Development of Data-Driven Conflict Resolution Generator for En-Route Airspace, Aerospace Science and Technology, (submitted), K. Kim, R. Deshmukh, and I. Hwang
Conference publications
Identification of Aircraft Conflict Resolution Types from Recorded Flight Data, AIAA Aviation 2015, (2015), S. Shin, K. Kim, and I. Hwang
Classification of Conflict Resolution Methods using Data-Mining Techniques, AIAA Aviation 2016, (2016), K. Kim, M. Sharma, S. Gao, I. Hwang, and B. Yang
Integer Linear Program Approach for Evacuation of Disaster Victims with Different Urgency Levels, 20th IFAC World Congress, (2017), B. Oh, K. Kim, H. Choi, and I. Hwang
Terminal Airspace Anomaly Detection Using Temporal Logic Learning, International Conference on Research in Air Transportation 2018, (2018), K.Kim and I. Hwang