Seungmin Jeon (전승민)
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.
Contact
- Email: seungmin.jeon@kaist.ac.kr
- GitHub: zzz845zz
- Bibliography: ORCID, DBLP, Google Scholar
- Place: Rm. 4441, Bldg. E3-1, KAIST (+82-42-350-7878)
Education
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(2024 - Current) Ph.D. in AI Semiconductor. KAIST
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(2024) M.S. in Computer Science. KAIST.
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(2021) Computer Science & Engineering. Chungnam National University.
Publications
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(OOPSLA 2024)
Quantum Probabilistic Model Checking for Time-bounded Properties.
Seungmin Jeon, Kyeongmin Cho, Chan Gu Kang, Janggun Lee, Hakjoo Oh, Jeehoon Kang.
Object-oriented Programming, Systems, Languages, and Applications.
[paper: doi, local]
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(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)
Experiences
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Research intern, Mobile Distributed Computing Lab (Chungnam National University), September, 2020 - December, 2020
(topic : behavioral control algorithm for autonomous robots)
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Research intern, Embedded System Lab (Chungnam National University), March, 2020 - June, 2020.
(topic : sound-based bird classification)
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Development intern, Satrec Initiative, December, 2019 - February, 2020.
(topic : various tool development)
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Research intern, System Architecture and Security Lab (Chungnam National University), June, 2019 - December, 2019
(topic : identification of malicious code variants)