Data mining - AI IoT Laboratory at Yonsei
Welcome to the Data mining - AI IoT Laboratory
@ Yonsei University (DAILY)
**Recruiting**
DAILY laboratory at Yonsei University is now recruiting a couple of highly self-motivated graduate students and post-doctoral research fellows. Please contact Professor Woongsup Lee (woongsup.lee_at_yonsei.ac.kr) for more information.
연세대학교 DAILY 연구실에서는 대학원생 및 박사후연구원을 모집하고 있습니다. 연구실 지원을 원하는 학생들은 이웅섭교수에게 (woongsup.lee_at_yonsei.ac.kr) 연락주세요.
Data mining - AI IoT Laboratory at Yonsei University (DAILY) has been established in the Graduate School of Information at Yonsei University since March 2023. DAILY is led by Professor Woongsup Lee. Our research mainly focuses on optimization, data mining, and machine learning in wireless communication, UAV, healthcare, and livestock management. Nevertheless, our research is not limited to these topics but can be expanded to new and exciting research topics.
Research Interests
Wireless Communications and Applications
Machine Learning and Deep Learning
Optimization
Security
Data mining
Health Care and Livestock Management
News
[Oct. 2023] The paper, entitled UAV-Assisted Wireless-Powered Two-Way Communications, has been accepted in IEEE Transactions on Intelligent Transportation Systems (IF 2022: 9.551).
[Aug. 2023] The paper, entitled Wireless Powered Interference Networks: Applications, Approaches, and Challenges, has been accepted in IEEE Vehicular Technology Magazine (IF 2022: 8.1).
[Jun. 2023] The paper, entitled Deep Learning-Aided Channel Allocation Scheme for WLAN, has been published in IEEE Wireless Communications Letters (IF 2022: 6.3).
[Jun. 2023] The paper, entitled Deep Learning-Based Network-Wide Energy Efficiency Optimization in Ultra-Dense Small Cell Networks, has been published in IEEE Transactions on Vehicular Technology (IF 2022: 6.8).
[Mar. 2023] The paper, entitled Deep Learning-Based Energy Efficient Resource Allocation for Underlay Cognitive MISO Interference Channels, has been published in IEEE Transactions on Cognitive Communications and Networking (IF 2022: 8.6).
