معرفی
Martina Maggio is a Professor at the Department of Computer Science, Saarland University (since March 2020) and holds a 20% position at the Department of Automatic Control, Lund University (since 2023). Her research bridges control theory with software engineering to address predictability in computing systems.
- PhD: Politecnico di Milano (completed with work on control-theoretical tools for computing systems)
- Visiting Graduate Student: MIT CSAIL (collaborated on Self-Aware Computing project)
Her research focuses on:
- Control theory for resource allocation in cloud infrastructures and embedded systems
- Formal verification of event-triggered systems and deadline misses
- Robustness of cyber-physical systems under computational faults
- Automated methodologies for runtime adaptation in software
- Timing requirements in big data applications
- Security vulnerabilities in control systems
Key article trends include: control-theoretic approaches to computing systems, stochastic modeling of deadline misses, formal verification of timing constraints, and security-aware control algorithms.
Scientific recognition:
- Co-authored paper selected as Most Influential Paper at SEAMS 2025
- Best Paper Award at ECRTS 2021
- ACM SIGSOFT Distinguished Paper Award (FSE 2020)
- Outstanding Reviewer (ICPE 2020)
Mentorship includes supervising PhD candidates (e.g., Clara Rubeck, Robert Pietsch) and serving as an academic advisor for industry collaborations (e.g., with Bosch Corporate Research). She also contributes to open-source tool development (WeaklyHard.jl) and has held leadership roles like Program Co-Chair for ICCPS 2020.
