Currently active projects (as principal investigators):

  • ResoNet: Resilient Optimized Network Synthesis (2022-2026). Funded by VR.
    ResoNet is Marco Chiesa’s VR starting grant. We aim at developing new network synthesis methods that guarantee performance and robustness requirements. Funding 4M SEK between 2022 and 2025.
  • SEMLA: Securing Enterprises via Machine-Learning-based Automation (2023-2025). Funded by Vinnova.
    The 12-MSEK SEMLA Vinnova project led by Prof. Marco Chiesa leverages recent advancements in machine learning (ML) and artificial intelligence (AI) to automate critical yet common & time-consuming tasks in software development that often lead to catastrophic security vulnerabilities. by.  Project partners include members from the Computer Security group from KTH,  the Connected Intelligence unit at RISE, RedHat, and Saab.
  • Automated Software Verification with Expert-Driven Reasoning (2026-2030). Funded by WASP.

Previous projects (as principal investigators):

  • Emergence 2.0: Securing Edge Networks with a Programmable Architecture. Funded by Digital Futures
  • Self-adapting disaggregated cloud infrastructures. Selected by WASP.
  • EMERGENCE: Enabling Machine Learning for Network Cybersecurity. Funded by Digital Futures.