Yungbum Jung

Yungbum Jung (정영범)

Ph.D. — Programming Research Laboratory, School of Computer Science and Engineering, Seoul National University
dreameye98 (at) furiosa.ai
Executive Director of Tech Sales, FuriosaAI Adjunct Professor, Ajou University (Intelligence Semiconductor Engineering)

Research interests

Static Program Analysis · Functional Programming · Machine Learning for Understanding Software . AI Inference Accelerator . NPU (Neural Processing Unit)

CV (PDF) · FuriosaAI

Education & Professional Activities

  • 2023.03 – Present: Executive Director of Tech Sales, FuriosaAI
  • 2024.09 – Present: Adjunct Professor, Department of Intelligence Semiconductor Engineering, Ajou University
  • 2018.12 – 2023.03: SW Product Manager, FuriosaAI
  • 2011.11 – 2018.12: SW Research Engineer, Sparrow
  • 2004.03 – 2011.08: Ph.D. (Advisor: Prof. Kwangkeun Yi), School of Computer Science and Engineering, Seoul National University
  • 1998.03 – 2004.02: B.S., Mathematics & Computer Science (double major), Seoul National University
  • 2009.01 – 2009.05: Visiting Student of Martin Rinard, CSAIL, MIT

Teaching

4190.310 Programming Languages (Spring 2011)

Publications (selected)

Ph.D. Thesis

Parameterized Procedural Summary-based Static Analysis for Detecting Memory Leaks and Code Clones — Yungbum Jung, July 2011. [paper]

International

  • Automatically Inferring Loop Invariants via Algorithmic Learning — MSCS 2015. (Jung, Kong, David, Wang, Yi) [paper]
  • Reducing False Alarms from an Industrial-Strength Static Analyzer by SVM — APSEC 2014 (industry track).
  • Predicate Generation for Learning-based Quantifier-free Loop Invariant Inference — LMCS 2012.
  • MeCC: Memory Comparison-based Clone Detector — ICSE 2011. paper
  • Predicate Generation for Learning-Based Quantifier-Free Loop Invariant Inference — TACAS 2011. paper
  • Automatically Inferring Quantified Invariants via Algorithmic Learning from Simple Templates — APLAS 2010. paper
  • Deriving Invariants by Algorithmic Learning, Decision Procedures, and Predicate Abstraction — VMCAI 2010.
  • paper
  • Identifying Static Analysis Techniques for Finding Non-fix Hunks in Fix Revisions — DSMM 2009.
  • Practical Memory Leak Detector Based on Parameterized Procedural Summaries — ISMM 2008.
  • Taming False Alarms from a Domain-Unaware C Analyzer — SAS 2005. paper
  • Soundness by Static Analysis and False-alarm Removal by Statistical Analysis: Our Airac Experience — Bugs 2005.

Domestic

  • OWASP 벤치마크의 보안약점 탐지 점수를 높이기 위한 정적 분석 기술 — 정보과학회지, 2016.
  • Type-directed Automatic Generation of Open Code Multi-staged Program — 정보과학회 논문지, 2012.
  • 함수 요약에 기반한 메모리 누수 정적 탐지기 — 정보과학회 논문지: 소프트웨어 및 응용, 2009.
  • 스패로우: 소스 코드 분석기 — 한국정보과학회 학술발표논문집, 2007.
  • C 프로그램의 버퍼 오버런 오류를 찾아 주는 정적 분석기의 설계와 구현 — 정보과학회 논문지, 2006.

Talks & Poster Presentations

  • Automatically Inferring Invariants via Algorithmic Learning — MPI-SWS, Saarbrücken, Germany, April 2011. [slide]
  • Deriving Invariants in Propsitional Logic by Algorithmic Learning, Decision Procedure, and Predicate Abstraction — HKUST, Hong Kong, November 2009. [slide]
  • Sparrow - Static Bug Finder — SIGPL Winter School, KAIST, Jan 2008.
  • Poster: APLAS 2009, PLDI 2005, APLAS 2004.

Patent

메모리 누수 검출 장치 및 방법 (Memory Leak Detecting Apparatus and Method)
No. 1020080038411 (G06F9/06, G06F11/08, G06F11/30)

Awards & Media

  • 배드민턴 B조
  • 과학기술정보통신부 장관상, 2024
  • LG 전자 박사 산학장학생, 2007–2010
  • 삼성휴먼테크논문 2005, 장려상
  • 한빛소프트배 서울대학교 스타크래프트 대회 2003, 4강
  • 다수 미디어 인터뷰 및 방송 출연 (KBS 2TV 등)
Media & coverage (original)