Sangmin Lee
About
I am Sangmin Lee, a Ph.D. student in Wireless Intelligence at Network Edge Lab at Korea University.
My research interests and ongoing research are as follows.
First, Indoor/Outdoor Localization that can be used in a variety of industrial environments. I am conducting research on optimal positioning through various sensors and hardware/software optimization.
Second, Deep Reinforcement Learning. I am designing a deep reinforcement learning model and conducting research to present an integrated solution in positioning and various fields.
Third, I am conducting research on convergence solutions through the implementation of Swarming Intelligence using drones and robots.
Research Interests
Deep Reinforcement Learning
Indoor Localization
Swarming Intelligence
Contact
lsm5505 AT korea DOT ac DOT kr
Education
Korea University, Seoul, Republic of Korea
MS/Ph.D., Electrical Engineering, Feburary 2020 - Present
Adviser: Professor Hwangnam Kim
B.S, Kyunghee University (Feb, 2020)
TA
Spring 2020: Digital System (KECE207) at Korea University
Fall 2020: Data Structure and Algorithm (KEEE210) at Korea University
Fall 2022: Digital System Design and Laboratory (KECE210) at Korea University
Awards & Honors
Best Paper Award in Spring Conference of KINGC, 2021
Publications
International Journals
"Adaptive Sensing Data Augmentation for Drones Using Attention-Based GAN"
Namkyung Yoon*, Kiseok Kim*, Sangmin Lee*, Jin Hyoung Bai, Hwangnam Kim
Sensors 24 (16), 5451, Aug 2024.
"Vehicular Localization Framework with UWB and DAG-Based Distributed Ledger for Ensuring Positioning Accuracy and Security"
Kiseok Kim*, Sangmin Lee*, Taehoon Yoo*, and Hwangnam Kim
Electronics, Vo. 23, No. 12, Pages 4756, November 2023.
"Empowering Adaptive Geolocation-Based Routing for UAV Networks with Reinforcement Learning"
Changmin Park, Sangmin Lee, Hyeontae Joo, and Hwangnam Kim
Drones, Vol. 7, No. 6, Pages 387, June 2023
"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
"Optimizing Time-Sensitive Software-Defined Wireless Networks with Reinforcement Learning"
Hyeontae Joo, Sangmin Lee, Seunghwan Lee, and Hwangnam Kim
IEEE Access, Vol. 10, Pages 119496-119505, November 2022
"Enhancing Gas Detection-based Swarming through Deep Reinforcement Learning"
Sangmin Lee, Seongjoon Park, and Hwangnam Kim
The Journal of Supercomputing, 2022, pages 1-19, April, 2022
"Drone Positioning System Using UWB Sensing and Out-of-Band Control"
Sangmin Lee, Seungho Yoo, Joon Yeop Lee, Seongjoon Park, and Hwangnam Kim
IEEE Sensors Journal, Vol. 22, Issue 6, Pages 5329-5343, March, 2022
"Survey on Anti-Drone Systems: Components, Designs, and Challenges"
Seongjoon Park, Hyeong Tae Kim, Sangmin Lee, Hyeontae Joo, and Hwangnam Kim
IEEE Access , Vol. 9, Pages 42635-42659, March 2021
International Conferences
"DAG-based Distributed Data Management System for Smart Factory"
Taehoon Yoo, Kiseok Kim, Sangmin Lee, and Hwangnam Kim
ICNGC, Danang, Vietnam, December 2023
"Calibrating Dead Reckoning with Deep Reinforcement Learning"
Sangmin Lee and Hwangnam Kim
APCC 2022, Jeju, Korea , October 2022
"Enhancing Localization Method based on Deep Reinforcement Learning"
Sangmin Lee and Hwangnam Kim
ICNGC, Jeju, Korea , November 2021
"Enabling Scalable Swarm-Intelligence based on Gas Detection"
Sangmin Lee, Seongjoon Park, and Hwangnam Kim
ICNGC, Busan, Korea, December 2020
Domestic Conferences
"Physical Address Allocation Algorithm for Multiple UAVs Routing"
Changmin Park, Sangmin Lee, and Hwangnam Kim
Korea Institute of Military Science and Technology, June 2022
"Analysis of Training and Inferencing Processing Allocation in Distributed Learning with Considering Communication Situation"
Woonghee Lee, Sangmin Lee, and Hwangnam Kim
Proc. Korean Institute of Next Generation Computing, May 2021
"Study on Sensing-based Robot Control System in Constrained Environment"
Seongjoon Park, Sangmin Lee, and Hwangnam Kim
Proc. Korean Institute of Next Generation Computing, May 2021
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 KimDomestic 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
Languages: C, C++, Pyhton, MATLAB, JAVA
Libraries: OpenCV, TensorFlow, PyTorch
Tools: MS Visual Studio, MATLAB
Operating Systems: MS Windows, Linux (Ubuntu)
Languages
Korean (Native)
English (Limited)