The ReSeSS Research Lab

The Reliable, Secure, and Sustainable Software lab (ReSeSS) focuses on developing automated solutions that support expert decision-making in areas related to quality, security, and reliability of software and AI systems. This includes code management techniques that combine generative AI capabilities with program analysis and formal reasoning; reliable and explainable approaches for malware detection and localization; solutions to improve the robustness, explainability, and fairness of AI systems; as well as approaches for engineering education in the GenAI era.

In all our work, we typically start from exploratory studies, investigating existing practices and core challenges. We then develop solutions for the identified challenges and evaluate them in a practical setup.

I am extremely grateful to have our research supported by NSERC, CFI, Mitacs, SSHRC, IBM, Samsung, Huawei, and Meta.


Our current projects evolve around four (interrelated) areas:

Software Analysis

Quality, Security, and Privacy

Security, privacy, malware detection, quality, testability.
Developer Support

Developer Support

Testing and debugging, developer productivity, fact-checking and reasoning in ML/LLM for code.
Software Modernization and Reuse

Software Maintenance and Reuse

Feature-based design and development, reuse, code modernization, services and microservices.
Trustworthy AI

Trustworthy AI

Adversarial robustness, privacy, explainability, law and regulations.

Team

Current Students

Group Meeting August 2025

Group Meeting August 2025

More fun pictures ...

  • Yingying Wang, PhD, 5/2019-present
  • Michael Tegegn, PhD, 1/2026-present
  • Sarah Bornais, MASc, 9/2023-present (part-time)
  • Masih Beigi Rizi, MASc, 9/2024-present
  • Jimmy Chen, BASc (ECE), research experience, 1/2026-present
  • Longman Luo, BASc (ECE), research experience, 5/2026-present
  • Carl Seela, BSc (Business Informatics and Mathematics), Mitacs intern, Universität Mannheim, Germany, 6/2026-present
  • Hanyu (Amelia) Wang, BSc (CS), Mitacs intern, The University of Hong Kong, China, 6/2026-present

Former Students

Lab Info

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Please read this page if you are interested in joining the ReSeSS research lab.

Internal information for lab members is here.