Kyeonghyun Yoo
About
I am Kyeonghyun Yoo, a MS/Ph.D. student in Wireless Intelligence at Network Edge Lab at Korea University. My research interests are Drone Application, Wireless Network Application and Indoor/Outdoor Localization. My current focus is on designing a fusion algorithm that seamlessly integrates UWB-based positioning algorithms and PDR (Pedestrian Dead Reckoning) algorithms utilizing IMU sensors, aiming to mutually complement the drawbacks of each approach. Additionally, I am also actively involved in researching the utilization of drones in the metaverse.
Research Interests
Indoor Localization
Drone Application
Wireless Network Application
Contact
seven1705 AT korea DOT ac DOT kr
Education
MS/Ph.D. in Electrical Engineering, Korea University, Seoul, Republic of Korea, 2022 ~ present
Advisor: Professor Hwangnam Kim
B.S. in Electrical Engineering, Hannam University, Deajeon, Republic of Korea, 2016 ~ 2022
Publications
International Journals
"Reinforcement Learning Based Topology Control for UAV Networks"
Taehoon Yoo, Sangmin Lee, Kyeonghyun Yoo, and Hwangnam Kim
Sensors, Vol. 23, No. 2, Pages 921, January 2023
Domestic Conferences
"Improving Position Accuracy of Indoor Drones through Sensor Fusion"
KyeongHyun Yoo, Dong Kyu Lee, and Hwangnam Kim
Proc. Korea Institute of communications and Information Sciences, June 2022
"Implementing Virtual Models for Drones in the AirSim Environment"
Kyeong Hyun Yoo, Hyeontae Joo, and Hwangnam Kim
Proc. Korea Institute of communications and Information Sciences, November 2021
Patents
Patent application number 10-2022-0188554
INDOOR POSITIONING SYSTEM AND METHOD BASED ON UWB USING OUT-OF-BAND MANAGEMENT
Sangmin Lee, Kyeonghyun Yoo, Hwangnam Kim
Technical Skills
Programming Skills: C/C++, JAVA, Python, MATLAB
Libraries: OpenCV, TensorFlow, PyTorch, MAVSDK (MAVLink SDK), AirSim
Tools: MS Visual Studio, MATLAB, Pycharm
Operating System: MS Windows, Linux (Ubuntu)
Languages
Korean (Native)
English (Limited)