• Deep Reinforcement Learning

• Indoor Localization

• Swarming Intelligence

lsm5505 AT korea DOT ac DOT kr

• 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

• Best Paper Award in Spring Conference of KINGC, 2021

International Journals

1. "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.

2. "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

3. "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

4. "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

5. "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

6. "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

7. "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

1. "DAG-based Distributed Data Management System for Smart Factory"

Taehoon Yoo, Kiseok Kim, Sangmin Lee, and Hwangnam Kim

ICNGC, Danang, Vietnam, December 2023

2. "Calibrating Dead Reckoning with Deep Reinforcement Learning" 

Sangmin Lee and Hwangnam Kim

APCC 2022, Jeju, Korea , October 2022

3. "Enhancing Localization Method based on Deep Reinforcement Learning"

Sangmin Lee and Hwangnam Kim

ICNGC, Jeju, Korea , November 2021

4. "Enabling Scalable Swarm-Intelligence based on Gas Detection" 

Sangmin Lee, Seongjoon Park, and Hwangnam Kim

ICNGC, Busan, Korea, December 2020

Domestic Conferences

1. "Physical Address Allocation Algorithm for Multiple UAVs Routing"

Changmin Park, Sangmin Lee, and Hwangnam Kim

Korea Institute of Military Science and Technology, June 2022

2. "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

3. "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

• 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
  
  

• 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

• Languages: C, C++, Pyhton, MATLAB, JAVA

• Libraries: OpenCV, TensorFlow, PyTorch

• Tools: MS Visual Studio, MATLAB

• Operating Systems: MS Windows, Linux (Ubuntu)

• Korean (Native)

• English (Limited)