Portrait of Sen Chen

Sen Chen

Professor, College of Cryptology and Cyber Science, Nankai University, China
Office: Room 563, The Building of Computer Science, Jinnan Campus Email: senchen@nankai.edu.cn

About

I am a full professor at Nankai University and lead NKSSecLab (Nankai Software Security Laboratory). I am also a member of the research group led by Prof. Zheli Liu.

I was a postdoc and research assistant professor at Nanyang Technological University, Singapore, working with Prof. Yang Liu.

My research focuses on software security, with an emphasis on software supply chain security. I have received the ACM SIGSOFT Early Career Researcher Award and 6 Distinguished Paper Awards.

Research

  • Software supply chain security (SCA, SAST)
  • Software Composition Analysis (SCA)
  • Static Analysis and Security Testing (SAST)
  • Vulnerablity, Malware, and PoC
  • LLM, AI Agents

News

Dec 2025: Received the ACM SIGSOFT Early Career Researcher Award (2026) for contributions to software supply chain security through techniques and tools in SCA and SAST.
Jul 2025: One paper accepted by CCS 2025.
2024–2026: Program committee for USENIX Security, IEEE S&P, CCS, ICSE, FSE, ASE, ISSTA, OOPSLA.
Jun 2024: Won the Distinguished Paper Award at FSE 2024.

Selected Publications

  • CCS 2025 ForeDroid: Scenario-Aware Analysis for Android Malware Detection and Explanation
  • TOSEM 2025 Beyond Decision: Malware Description Generation through Profiling Malicious Behavior Trajectory
  • FSE 2024 Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?
  • ASE 2023 EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software
  • ICSE 2023 Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects
  • ICSE 2022 Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem
  • TOSEM 2022 Why an App is Classified as Malware? Towards Malware Classification Interpretation
  • TIFS 2022 A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices
  • TDSC 2021 GUI-Squatting Attack: Automated Generation of Android Phishing Apps
  • ICSE 2020 An Empirical Assessment of Security Risks of Global Android Banking Apps

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