Kyeonghyun Yoo
Kyeonghyun Yoo
Embedded Files
About
About
I am Kyeonghyun Yoo, an integrated M.S./Ph.D. student majoring in Wireless Intelligence at the Network Edge Lab, Korea University. My research interests include control systems for unmanned aerial vehicles and unmanned ground vehicles (UAVs and UGVs), wireless network applications, indoor and outdoor localization, and machine learning model compression for deployment on embedded systems. Currently, I focus on designing sensor fusion algorithms that integrate heterogeneous onboard sensor data to compensate for the limitations of individual approaches, and I am also actively conducting research on inference techniques based on large language models (LLMs) and their efficient deployment through model compression in unmanned systems and edge computing environments.
Research Interests
Research Interests
Indoor and Outdoor Localization
Positioning, Navigation, and Timing (PNT) for Unmanned Aerial and Ground Vehicles
Wireless Network Applications
Large Language Models (LLMs) for Inference and Edge/Embedded Systems
Contact
Contact
seven1705 AT korea DOT ac DOT kr
Education
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
Publications
International Journals
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
International Conferences
International Conferences
"GRUI: A Novel Gesture Recognition Utilizing UWB Sensor and IMU"
Dongjae Lee*, Kyeonghyun Yoo*, Wooyong Jung, and Hwangnam Kim
2024 IEEE SMC, Kuching, Malaysia, October 2024
Domestic Conferences
Domestic Conferences
"Transfer Learning-Based SDN Framework for Routing Optimization in UAV Networks"
Seunghyeon Lee, Kyeonghyun Yoo, WooYong Jung, Changmin Park, and Hwangnam Kim
Proc. Korea Institute of communications and Information Sciences, June 2024
"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
Patents
International Patent Application (U.S.)
U.S. Patent Application No. 18/399,813
INDOOR POSITIONING SYSTEM AND METHOD BASED ON UWB USING OUT-OF-BAND MANAGEMENT
Sangmin Lee, Kyeonghyun Yoo, Hwangnam Kim
U.S. Patent Application No. 18/796,834
TAG DEVICE FOR RECOGNIZING MOTION, MOTION RECOGNIZER, AND METHOD OF OPERATING THE TAG DEVICE
Hyunsoon Kim, Hwangnam Kim, Jun Kim, Seungchull SUH, Kyeonghyun Yoo, Dongjae Lee
Domestic Patent
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
Technical Skills
Programming Skills: C/C++, Python
Libraries & Frameworks: OpenCV, TensorFlow, PyTorch, MAVSDK (MAVLink SDK), AirSim
Tools: MS Visual Studio, MATLAB, Embedded firmware development using ESP32 and STM32 platforms, with supporting toolchains
Operating System: MS Windows, Linux (Ubuntu)
Languages
Languages
Korean (Native)
English (Limited)
Page updated
Google Sites
Report abuse