Seungmin Jeon (전승민)

Seungmin Jeon

I am a Ph.D Student at KAIST Graduate School of AI Semiconductor, KAIST at Concurrency and Parallelism Laboratory.

My research focuses on enhancing the computing ecosystem for cutting-edge hardware, such as quantum computers and persistent memory.



  • (2024 - Current) Ph.D. in AI Semiconductor. KAIST

  • (2024) M.S. in Computer Science. KAIST.

  • (2021) Computer Science & Engineering. Chungnam National University.


  • (PLDI 2023) Memento: A Framework for Detectable Recoverability in Persistent Memory.
    Kyeongmin Cho, Seungmin Jeon, Azalea Raad, Jeehoon Kang.
    ACM SIGPLAN conference on Programming Languages Design and Implementation.
    [paper: doi, local] ​ [artifact: development] ​ ​

  • Pre-processing Method for Bird Sound Classifier.
    Jaemin Kang, Seungmin Jeon, Hyungshin Kim.
    Proceedings of 2020 IEMEK Symposium on Embedded Technology, July, 2020, pp. 40-41. (written in Korean)

  • A Malware Variants Detection Method Based on Malicious API Call Sequence.
    Seungmin Jeon, Woojin Joe, Hyongshik Kim.
    Proceedings of Korea Software Congress 2019, December, 2019, pp. 1630-1632 (written in Korean)


  • Research intern, Mobile Distributed Computing Lab (Chungnam National University), September, 2020 - December, 2020

    (topic : behavioral control algorithm for autonomous robots)

  • Research intern, Embedded System Lab (Chungnam National University), March, 2020 - June, 2020.

    (topic : sound-based bird classification)

  • Development intern, Satrec Initiative, December, 2019 - February, 2020.

    (topic : various tool development)

  • Research intern, System Architecture and Security Lab (Chungnam National University), June, 2019 - December, 2019

    (topic : identification of malicious code variants)