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 AI, uncovering novel applied machine learning technologies on smartphones and wearables, especially for healthcare. My research also focuses on promoting efficient AI deployment in practice via system-based algorithmic approaches.
I research on the intersection of Privacy-Preserving ML - Federated Learning (FL) and on-device AI, uncovering novel applied machine learning technologies on smartphones and wearables, especially for healthcare. 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
Publications
Preprints-
Time and Resource Efficiency Analysis on Synchronous and Asynchronous Federated LearningJaemin Shin et al.in submission
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Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation StudyG. A. Baumgart, Jaemin Shin, A. Payani, M. Lee, R. R. KompellaarXiv preprint
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FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated LearningJaemin Shin, H. Yoon, S. Lee, S. Park, Y. Liu, J. D. Choi, S-J. LeeEMNLP 2023
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Flame: Simplifying Topology Extension in Federated LearningH. Daga, Jaemin Shin, D. Garg, A. Gavrilovska, M. Lee, R. R. KompellaSoCC 2023
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FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous ClientsJaemin Shin, Y. Li, Y. Liu, and S-J. LeeMobiSys 2022
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MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass FrameJaemin Shin, S. Lee, T. Gong, H. Yoon, H. Roh, A. Bianchi, and S-J. LeeCHI 2022 Best Paper Honorable Mention Award 🏆
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Use MU-MIMO at Your Own Risk - Why We Don't Get Gb/s Wi-FiH. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. LeeAd Hoc Networks 2019
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Demo: Accurate Eating Detection on a Daily Wearable NecklaceJaemin Shin, S. Lee, and Sung-Ju LeeMobiSys 2019
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Poster: Dissecting 802.11ac Performance-Why You Should Turn Off MU-MIMOH. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. LeeMobiSys 2019
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Considerations on Deploying High-Performance Container-based NFV*D. Hong, *Jaemin Shin, S. Woo, and S. Moon (* equal contributions)CAN 2017 Best Paper Award 🏆
Education
- 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
- Reviwer, IEEE TMC 2018, 2022 - 2023
- Reviewer, IEEE TNNLS 2024
- Reviewer, ACM CHI LBW 2024
Miscellaneous
- I love playing double reed instruments. I have performed in 20+ amateur orchestra performances and am still looking for opportunities to play. :)