About Me
I am a Ph.D. Candidate in Networking & Mobile Systems Lab (NMSL)
at KAIST, advised by Prof. Sung-Ju Lee. I have also closely collaborated with Prof. Yunxin Liu.
I worked as an intern at Microsoft Research Asia (MSRA), Cisco Research, and Oracle.
I received my B.S. degree in Computer Science from KAIST in 2018.
I research on the intersection of 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 FL deployment in practice via systematic approaches.
I research on the intersection of 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 FL deployment in practice via systematic approaches.
I am in the industrial job market and seeking postdoc opportunities! Here is my CV. Please feel free to contact me for any potential opportunities.
Publications
Preprints-
Time and Resource Efficiency Analysis on Synchronous and Asynchronous Federated LearningJaemin Shin et al.in submission
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FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated LearningJaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju LeeEMNLP 2023
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Flame: Simplifying Topology Extension in Federated LearningHarshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao KompellaSoCC 2023
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FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous ClientsJaemin Shin, Yuanchun Li, Yunxin Liu, and Sung-Ju LeeMobiSys 2022
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MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass FrameJaemin Shin, Seungjoo Lee, Taesik Gong, Hyungjun Yoon, Hyunchul Roh, Andrea Bianchi, and Sung-Ju 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-FiHyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, and Sung-Ju LeeAd Hoc Networks 2019
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Demo: Accurate Eating Detection on a Daily Wearable NecklaceJaemin Shin, Seungjoo Lee, and Sung-Ju LeeMobiSys 2019
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Poster: Dissecting 802.11ac Performance-Why You Should Turn Off MU-MIMOHyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, and Sung-Ju LeeMobiSys 2019
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Considerations on Deploying High-Performance Container-based NFV*DeokGi Hong, *Jaemin Shin, Shinae Woo, and Sue Moon (* equal contributions)CAN 2017 Best Paper Award 🏆
Education
- Ph.D. in Computer Science, KAIST, Daejeon, Republic of Korea
- Mar. 2018 - Current
- Advisor: Prof. Sung-Ju Lee
- B.S. in Computer Science, KAIST, Daejeon, Republic of Korea
- Mar. 2014 - Feb. 2018
- Korea Science Academy, Busan, Republic of Korea
- Feb. 2011 - Feb. 2014
Work Experiences
- Cisco Research, Seattle, WA. | Mar. 2023 - Aug. 2023
- Mentor: Myungjin Lee
- Microsoft Research Asia, Beijing, China. | Dec. 2020 - Jun. 2021
- Mentors: Yuanchun Li and Yunxin Liu
- Oracle, Seoul, Republic of Korea. | Jun. 2017 - Aug. 2017
- Mentors: Jungnam Lee and Chris Lee
Honors and Awards
- 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. :)