We focus on empowering networks to operate more intelligently and
enabling all things to connect and exchange data with each other seamlessly,
learn from the data autonomously, and lead to recursive self-improvement.
Latest News
We are hiring!!
AI 및 IoT에 관심이 있는 학부 인턴생 및 대학원생을 모집합니다!!
대학원생에게는 연구 장비와 연구비(등록금, 생활비 등)를 지원해드리며,
학부 인턴생에게는 프로젝트 참여 기간 및 유형에 따라 연구 장비와 연구비를 지원합니다.
We are actively looking for motivated graduate students in Master’s and Ph.D programs.
Graduate students will be provided with research equipment and grant (tuition, living expenses, etc.).
We have several openings for undergraduate students.
Undergraduate interns are provided with research equipment and grant depending on the duration and type of project participation.
If you are interested in such positions, please do not hesitate to contact us. (whlee@hansung.ac.kr)
Congratulation!!
We won Best Poster Award in Conference of KSRS, 2025!!
The new project was selected!!
We will work on the project with receiving financial support by 2025.
The new project was selected!!
We will work on the project with receiving financial support by 2029.
2022 Best Researcher Award!! (2022학년도 연구영역 Best Researcher상 수상)
2022 Spring Semester Teaching Award!! (2022-1학기 수업평가 우수교원)
We won Best Paper Award in Spring Conference of KINGComputing, 2021!!
10 Latest Published
SCI(E) Papers
Chae-Eun Lee and Woonghee Lee. “Experience-based Participant Selection in Federated Reinforcement Learning for Edge Intelligence.” IEEE Computational Intelligence Magazine 20.1 (2025): 50-65. [SCIE] (Top 5% Journal in Computer Science, Artificial Intelligence Category)
Juhyung Lee and Woonghee Lee. “Peak-aware adaptive denoising for Raman spectroscopy based on machine learning approach.” Journal of Raman Spectroscopy 55.4 (2024): 525-533. [SCIE]
Woonghee Lee. “Reward-based Participant Selection for Improving Federated Reinforcement Learning.” ICT Express 9.5 (2023): 803-808. [SCIE]
Yaeran Kim and Woonghee Lee. “Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models.” Sensors, 22.24 (2022): 9900. [SCIE]
Woonghee Lee. “Federated Reinforcement Learning Based UAV Swarm System for Aerial Remote Sensing.” Wireless Communications and Mobile Computing, vol. 2022, Article ID 4327380, 15 pages, 2022. [SCIE]
Seungho Yoo and Woonghee Lee. “Federated Reinforcement Learning-Based AANs with LEO Satellites and UAVs.” Sensors, 21.23 (2021): 8111. [SCIE]
Woonghee Lee. “Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets.” Sensors, 21.9 (2021): 3295. [SCIE]
Woonghee Lee, Joon Yeop Lee, Hyeontae Joo , and Hwangnam Kim. “An MPTCP-Based Transmission Scheme for Improving the Control Stability of Unmanned Aerial Vehicles.” Sensors, 21.8 (2021): 2791. [SCIE]
Seongjoon Park, Woong Gyu La, Woonghee Lee, and Hwangnam Kim. “Devising a Distributed Co-Simulator for a Multi-UAV Network.” Sensors, 20.21 (2020): 6196. [SCIE]
Woonghee Lee, Joon Yeop Lee, and Hwangnam Kim. “Mobile device-centric approach for identifying problem spot in network using deep learning.” Journal of Communications and Networks, 22.3 (2020): 259-268. [SCIE]