Welcome

Minsu Kim

Ph. D. candidate

Bradley Department of Electrical and Computer Engineering, Virginia Tech, Wireless@VT

Email: msukim AT vt DOT edu

Github : Here

News

[2023 Nov] I passed Preliminary Exam.

[2023 Oct] I have received the Amazon fellowship.

[2023 Apr] I presented a poster about our Green, Energy-efficient federated learning at the Amazon ML Day.

[2023 Mar] First time to author a book chapter about Green Federated Learning.

[2022 Nov] We have won the Best Paper Award at the IEEE Communications Society Transmission, Access, and Optical Systems (TAOS) for the 2022 ICC paper.

[2022 Jul] Interviews on our green distributed learning with Virginia Tech and UAE

[2022 May] We have won the Best Paper Award for our paper "On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks" at the IEEE International Conference on Communications (ICC), Seoul, South Korea.

[2022 Apr] I passed PhD Qualifying Examination.

[2021 Nov] I received the ECE Pratt Scholarship.

[2021 Aug] I joined Wireless@VirginiaTech as a PhD student.

[2021 Mar] I defended my M.S. thesis "Age of Information Analysis in Blockchain-enabled Wireless Monitoring Networks" from DGIST.

[2019 Mar] I joined DGIST as an M.S. student.

[2015 Mar] I joined DGIST as a B.S. student.

Education

Ph.D. in Electrical and Computer Engineering

Aug. 2021 ~

Virginia Tech

Network, Science, Wireless, and Security Group (NEWS) Lab

M.S. in Electrical and Computer Engineering

Mar. 2019 - Feb. 2021

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Information Communication & Security (ICS) Lab

B.S. in Electrical and Computer Engineering, Cum Laude

Mar. 2015 - Feb. 2019

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Publications

Google Scholar: link

Book Chapters

M. Kim and W. Saad, “Green Federated Learning”, in Handbook of Trustworthy Federated Machine Learning, Springer Nature, 2023.

Journal Publications

M. Kim, W. Saad, M. Mozaffari, and M. Debbah, “Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design", IEEE Transactions on Wireless Communications, to appear.
M. Kim, S. Lee, C. Park, J. Lee, and W. Saad, “Ensuring Data Freshness for Hyperledger Fabric Blockchain-enabled Monitoring Networks,” IEEE Internet of Things Journal, vol. 9, no.12, Jun, 2022.
S. Lee, M. Kim, J. Lee, R. H. Hsu, and T. Q. S. Quek, “Is Blockchain Suitable for Data Freshness? – An Age-of-Information Perspective,” IEEE Network, vol. 35, no. 2, pp. 96-103, March/April 2021.
S. Lee, M. Kim, R.-H. Hsu, M. Kim, J. Lee, and T. Q. S. Quek, "Facing to latency of Hyperledger Fabric for blockchain-enabled IoT: Modeling and analysis," IEEE Network, to appear.

Conference Publications

M. Kim, W. Saad, M. Mozaffari, and M. Debbah, “On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks", in Proc. of IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022. Best Paper Award
M. Kim, S. Lee, C. Park, and J. Lee, “Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Monitoring Networks,” in Proc. of IEEE International Conference on Communications (ICC), Montreal, Canada, June 2021.
M. Kim, D. Alexander, and W. Saad, "A Bargaining Game for Personalized, Energy efficient Split Learning over Wireless Networks", in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, UK, March 2023.
M. Kim and W. Saad, "Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?", in Prof. of IEEE ICASSP 2024.

Honors and Awards

Amazon - VT fellowship, Amazon and Virginia Tech, 2023
Best Paper Awards, IEEE International Conference on Communications, 2022.
Best Paper Awards, IEEE Communications Society Transmission, Access, and Optical System (TAOS), 2022
ECE Pratt Scholarship, Virginia Tech, 2021.

Research Experience

Network Science, Wireless, and Security Group (NEWS@VT), Virginia Tech, Arlington, USA, Aug. 2021 –

Graduate Research Assistant

Information Communication & Security (ICS) Lab, DGIST, Daegu, Korea, Mar. 2019 - Jul. 2021

Graduate Research Assistant

Nanyang Technological University (NTU), Singapore, Jul - Aug. 2016

Undergraduate Internship

Professional Service Activities

Reviewer for journals including:

IEEE Journal on Selected Areas in Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Mobile Computing
IEEE Transactions on Green Communications and Networking
IEEE Internet of Things Magazine
IEEE Wireless Communications Magazine

Reviewer for conferences including:

IEEE ICC 2023, 2024
IEEE Globecom 2022, 2023
IEEE PIMRC 2022
IEEE WoWMoM 2022
IEEE BalKanCom 2022
IEEE IPCCC 2022
IEEE ICNC 2023
IEEE ISCC 2023
IEEE CCNC 2022, 2023
IEEE WCNC 2023

Invited Talks

[2022 Nov] IEEE TAOS TC Globecom meeting

[2023 Oct] Amazon-Virginia Tech Initiative Event: Efficient and Robust Machine Learning