Dongsun Kim
Dongsun Kim (김동선)
Ph. D. Candidate
Department of Electrical Engineering and Computer Science (EECS)
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
E-mail: yidaever@dgist.ac.kr
Education
Integrated Ph. D. in Electrical Engineering and Computer Science
Feb. 2018 - Present
Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
Supervisor: Prof. Jemin Lee, and Prof. Sungjin Lee
B.S. in School of Undergraduate Studies
Mar. 2014 - Feb. 2018
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Research Interest
Wireless Networks and Blockchain-enabled Networks
UAV Networks and Ultra Dense Networks
Wireless Sensor Networks
Permissioned Blockchain-Enabled Networks
Practical Machine Learning
Reinforcement Learning and Multi-agent Reinforcement Learning for Wireless Networks or Blockchain
Natural Language Processing and Applications
Publications
* : Corresponding Author
Chapters In Books
H. Cho, D. Kim, and J. Lee, "3D-based base station deployment in ultra dense networks," in Ultra Dense Networks: Principles and Technologies, Cambridge University Press, Dec. 2020.
M. Kim, D. Kim, and J. Lee, "Aerial networks," in Wiley 5G Ref, Wiley, Dec. 2019. [Wiley Online Library]
Journal Papers
Submitted
D. Kim, S. Yun, S. Lee, J. Lee*, and D. Niyato, "Intelligent transaction generation control for permissioned blockchain-enabled networks," IEEE Transactions on Services Computing, submitted.
S. Yun, D. Kim, S. Lee, and J. Lee*, "i-CU: Intelligent cache and update for fresh content acquisition in cloud-edge networks," to be submitted.
D. Kim, S. Yun, E. Park, and J. Lee*, "IA-MARL: Imputation assisted multi-agent reinforcement learning for missing training data," IEEE Transactions on Neural Networks and Learning Systems, submitted.
S. Yun, D. Kim, and J. Lee*, "Learning-based activation of energy-harvesting sensors for data freshness in wireless monitoring networks," IEEE Internet of Things Journal, submitted.
Published/Accepted
D. Kim, S. Yun, S. Lee, J. Lee*, and T. Q.S. Quek, "Reinforcement Learning-based Sensing Decision for Data Freshness in Blockchain-empowered Wireless Networks," IEEE Wireless Communications Letters, to appear.
H. Cho, S. Mukherjee, D. Kim, T. Noh, and J. Lee*, "Facing to wireless network densification in 6G: Challenges and opportunities," ICT Express, Oct. 2022. [Link]
S. Mukherjee, D. Kim, and J. Lee*, "Base station coordination scheme for multi-tier ultra-dense networks," IEEE Transactions on Wireless Communications, Vol. 20, No. 11, pp. 7317 - 7332, Nov., 2021. [arXiv][IEEE Xplore] (Top 10% Journal in JCR)
D. Kim, J. Lee*, and T. Q. S. Quek, "Multi-layer unmanned aerial vehicle networks: Modeling and performance analysis," IEEE Transactions on Wireless Communications, Vol. 19, No. 1, Jan. 2020.[arXiv] [IEEE Xplore] (Top 10% Journal in JCR)
International Conference Papers
S. Mukherjee, D. Kim, H. Cho, and J. Lee, "A novel coordinated multi-point downlink transmission scheme for ultra-dense networks," in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea, Apr. 2020, pp. 1-6.
D. Kim, J. Lee, and T. Q. S. Quek, "Performance analysis for multi-layer unmanned aerial vehicle networks," in Proc. IEEE Global Commun. Conf. (Globecom) Workshop, Abu Dhabi, Dec. 2018, pp. 1-6. [arXiv]
Patents
S. Mukherjee, D. Kim, H. Cho, and J. Lee, “초고밀도 네트워크를 위한 협력 기지국 설정방법” South Korea Patent 10-2364391, Feb 14, 2022 (South Korea Patent Application 10-2020-0040782, Apr. 03, 2020).
Projects
Extreme Exploitation of Dark Data Research Center (암흑데이터 극한활용 연구센터)
Participant, NRF (연구재단, 선도연구센터) (Jan. 2022 - Present)
Development of Radio Transmission Technologies for High Capacity and Low Cost in Ultra Dense Networks (고밀집 네트워크(UDN) 환경에서 고용량, 저비용 달성을 위한 무선전송 기술 개발)
Participant, IITP (정보통신기술진흥센터) (Jul. 2018 - Dec. 2022)
Personal Project
Kaggle Competition Master [Link]
Github and Huggingface