• Indoor/Outdoor Localization

• Positioning, Navigation & Timing for Unmanned Aerial and Ground Vehicles

• Wireless Network Application

seven1705 AT korea DOT ac DOT kr

• 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

International Journals

1. "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

1. "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

1. "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

2. "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

3. "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

• 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

• 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)

• Korean (Native)

• English (Limited)