Research Team: OMNIA

Email: mj.jeon_at_postech.ac.kr

I am an associate professor in the Computer Science and Engineering Department and Graduate School of Artificial Intelligence at POSTECH. Previously, I was an associate professor at UNIST and a visiting professor in the DeepSpeed team at Microsoft. Prior to joining UNIST in 2018 fall, I spent several years in industry with Systems Research Group at Microsoft Research (2015 - 2018) and with Systems Research Group at the ARM Research (2014 - 2015). My prior research work has been deployed in several production systems in Microsoft, including Bing search engine, Open Platform for AI (OpenPAI), and Azure telemetry monitoring system, bringing real-world impacts from systems research.  Currently at POSTECH, I focus on AI systems, real-time big data analytics, and systems for new HW, with my team members at OMNIA Lab.

I finished my Ph.D. in Computer Science at Rice University in May 2014, under the supervision of Prof. Alan L. Cox and Prof. Scott Rixner. During my Ph.D. I actively collaborated with Dr. Yuxiong He and Dr. Sameh Elnikety through four internships at Microsoft Research. I received the M.S. degree in computer science from KAIST and the B.E. degree in computer engineering from Kwangwoon University. 

I won the Best Paper Awards from ICDE 2022 and SYSTOR 2016 and was selected twice as a Meta Faculty Research Award Finalist in 2020 and 2022.

I am looking for self-motivated and hard-working students and currently have openings for undergraduate internships and graduate-level studies. If you're interested in building system platforms for AI & big data processing, cloud computing, and various emerging hardware, please reach out to me by introducing yourself (with your CV and transcript) "before" applying to POSTECH.

News

Sep. 2024    Serving as the PC at ICDCS'25 (Distributed Systems for AI/ML track)

Aug. 2024    Joined POSTECH as an Associate Professor

May 2024    Serving as the PC at HPCA'25

Feb. 2024    Serving as the PC at APSys'24

Dec. 2023    Serving as the PC at ICDCS'24 (AI/ML for Distributed Systems track)

Sep. 2023    Serving as the PC at SYSTOR'24

May 2023    Giving a talk on systems for on-device continual learning at POSTECH and Ajou U seminars

Oct. 2022    My research team and myself are featured in UNIST magazine (link)

Oct. 2022    Serving as the PC at ICDCS'23 (AI for Systems and Systems for AI track)

Sep. 2022     Selected as a Facebook Faculty Research Award finalist

May 2022    Received Best Paper Award from ICDE'22 (news)

Apr. 2022    Giving a talk on systems for continual learning and ML data augmentation at LG AI Research Lab

Feb. 2022    Giving a talk on streaming analytics with adaptive near-data processing at Computer System Society

Oct. 2021    Serving as the PC at ICDCS'22 (ML on or for Distributed Systems track)

Oct. 2021    Serving as a vice session chair at SOSP'21 (Learning track)

Sep. 2021    Selected as one of 7 AI research labs by Kakao Brain (We are the only lab in AI systems: news)

Nov. 2020    Serving as the PC at ICDCS'21 (ML on or for Distributed Systems track)

Jul. 2020     Selected as a Facebook Faculty Research Award finalist

Apr. 2020    Giving a talk on our ML systems research at Samsung Electronics (for Data & IT center)

Jan. 2020    Serving as the PC at ICDCS'20 (Distributed & Federated Learning track)

Oct. 2019    Attending Rice CS 35th Anniversary as a panel speaker for "The Role of Programming Systems while Hardware Specialization is Exploding" with Kathryn, Mary, Dan, and Felix 

Teaching

Computer architecture 2023 fall, 2021 fall

Operating systems         2021 spring, 2020 spring

Parallel computing           2022 fall, 2019 spring

Data structure                 2020 fall, 2019 fall, 2018 fall

Big data systems (graduate) 2021 fall

AI systems (graduate)    2024 fall, 2022 fall, 2020 fall, 2019 spring

Publications