About Me

Bio

Omar Abusabha

I am a PhD candidate in Computer Science at Sungkyunkwan University, working in the SoftSec lab under the supervision of Prof. Sungjae Hwang. My research focuses on systems security, binary analysis, and decompilation, with a particular emphasis on understanding how compiler transformations and hidden assumptions influence modern binary analysis and reverse engineering systems.

My work explores the interaction between compiler optimizations, program structure, and machine learning–based security analysis. I conduct large-scale empirical studies on binaries, malware, and decompilers to better understand the reliability of modern security analysis pipelines.

Research Interests

  • Binary Analysis
  • Decompiler Analysis
  • Compiler Transformations
  • Program Analysis
  • Machine Learning for Software Security

Education

  • PhD in Computer Science and Engineering
    Sungkyunkwan University, South Korea
    Sep 2021 – Feb 2027 (expected)
  • Bachelor of Computer Engineering
    Islamic University of Gaza
    Feb 2017 – Jul 2020

Research Experience

  • Systems Security Researcher – SoftSec Lab, Sungkyunkwan University
    2021 – Present | Suwon, South Korea
    • Research on binary analysis, decompilation, and compiler transformations
    • Empirical studies of C decompilers and fidelity issues
    • Investigating how compiler optimizations impact binary analysis systems including ML-Based systems
    • Building large-scale experimental pipelines for malware, firmware, and binary datasets

Publications

  • Omar Abusabha, Jiyong Uhm, Tamer Abuhmed, Hyungjoon Koo.
    “A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis.”
    Network and Distributed System Security Symposium (NDSS), 2026.
    [paper] [artifact] [code]
  • Sajid Ali, Omar Abusabha, Farman Ali, Muhammad Imran, Tamer Abuhmed.
    “Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis.”
    IEEE Transactions on Network and Service Management (TNSM), 2022.
    [paper]

Awards

  • Silver Award – Bug Bounty Competition, Sungkyunkwan University (2022)
  • Encouragement Award – CTF Competition, Sungkyunkwan University (2023)
  • Brain Korea Scholarship, Korean Government (2024–2025)
  • STEM Scholarship, Sungkyunkwan University
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