About Me

I am a final year Ph.D. Candidate at KAIST School of Computing, advised by Prof. Sung-Ju Lee. I have also closely collaborated with Prof. Yunxin Liu. I received my B.S. degree in Computer Science from KAIST in 2018.

I research on the intersection of Privacy-Preserving ML - Federated Learning (FL) and on-device NLP, uncovering novel applied machine learning technologies on smartphones and wearables. My research also focuses on promoting efficient AI deployment in practice via system-based algorithmic approaches.

I am in the industrial job market! Here is my resume. Please feel free to contact me for any potential opportunities.

Work Experiences

  • KAIST Networking & Mobile Systems Lab, Research Assistant | Mar. 2018 - Present
  • KAIST Advanced Networking Lab, Undergraduate Research Assistant | Jan. 2017 - Dec. 2017
  • Cisco Research, PhD Software Engineer Intern | Mar. 2023 - Aug. 2023
  • Microsoft Research, PhD Research Intern | Dec. 2020 - Jun. 2021
  • Oracle, Software Engineer Intern | Jun. 2017 - Aug. 2017


  • Time and Resource Efficiency Analysis on Synchronous and Asynchronous Federated Learning
    Jaemin Shin et al.
    in submission
  • Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
    G. A. Baumgart, Jaemin Shin, A. Payani, M. Lee, R. R. Kompella
    arXiv preprint
  • Federated Learning with Incomplete Sensing Modalities
    A. Orzikulova, J. Kwak, Jaemin Shin, S-J. Lee
    arXiv preprint
Conferences and Journals
  • FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
    Jaemin Shin, H. Yoon, S. Lee, S. Park, Y. Liu, J. D. Choi, S-J. Lee
    EMNLP 2023
  • Flame: Simplifying Topology Extension in Federated Learning
    H. Daga, Jaemin Shin, D. Garg, A. Gavrilovska, M. Lee, R. R. Kompella
    SoCC 2023
  • FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
    Jaemin Shin, Y. Li, Y. Liu, and S-J. Lee
    MobiSys 2022
  • MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame
    Jaemin Shin, S. Lee, T. Gong, H. Yoon, H. Roh, A. Bianchi, and S-J. Lee
    CHI 2022 Best Paper Honorable Mention Award 🏆
  • Use MU-MIMO at Your Own Risk - Why We Don't Get Gb/s Wi-Fi
    H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee
    Ad Hoc Networks 2019
Posters, Demos, and Workshop Papers
  • Demo: Accurate Eating Detection on a Daily Wearable Necklace
    Jaemin Shin, S. Lee, and S-J. Lee
    MobiSys 2019
  • Poster: Dissecting 802.11ac Performance-Why You Should Turn Off MU-MIMO
    H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee
    MobiSys 2019
  • Considerations on Deploying High-Performance Container-based NFV
    *D. Hong, *Jaemin Shin, S. Woo, and S. Moon (* equal contributions)
    CAN 2017 Best Paper Award 🏆


  • Ph.D. in Computer Science, KAIST, Advisor: Prof. Sung-Ju Lee
    • Mar. 2018 - May 2024 (expected)
  • B.S. in Computer Science, KAIST
    • Mar. 2014 - Feb. 2018

Honors and Awards

  • KAIST Breakthroughs, 2024 Spring
  • Naver Ph.D. Fellowship, 2022
  • Best Paper Honorable Mention Award, ACM CHI, 2022
  • Best Paper Award, CAN Workshop co-located with ACM CoNEXT, 2017

Professional Services

  • Reviewer, ACM IMWUT/UbiComp 2020 - 2023
  • Reviewer, IEEE TMC 2018, 2022 - 2023
  • Reviewer, IEEE TNNLS 2024
  • Reviewer, ACM CHI LBW 2024


  • I love playing double reed instruments. I have performed in 20+ amateur orchestra performances and am still looking for opportunities to play. :)
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