Dr Michele Sevegnani he/him

Photo of Dr Michele Sevegnani
My research focusses on mathematical techniques to reason about safety, reliability, and predictability of complex systems

Senior Lecturer

School of Computing Science
Research interests:
Formal verification, Stochastic modelling and simulation, Programming languages, Network protocols design, Human-robot interaction
Research fields:
Digital Twinning for decarbonisation, Formal verification for future networks, Safeguarded AI
Why do you want to join the DiveIn community?
What excites me most about joining the DiveIn CDT is the opportunity to inspire and mentor the next generation of researchers by sharing my passion for formal modelling and verification—an area of theoretical computer science that has shaped my academic journey. I look forward to co-creating research projects that explore the theoretical depths of these methods and apply them to real-world challenges. From ensuring the correctness of future communication protocols to advancing post-quantum cryptography and developing trustworthy digital twins, I see this as a unique opportunity to make a lasting impact together with curious and driven doctoral students.
Personal profile:

I am a Senior Lecturer in Computing Science at the University of Glasgow and an internationally recognised researcher in bigraph theory and its applications to Digital Twins, Human-Autonomy Interaction, and network protocols. My research spans formal methods, stochastic modelling, spatial logics, and decision support systems, with a strong emphasis on applying mathematical rigour to real-world, safety-critical domains. My work has helped extend the expressive power and practical utility of bigraphs, enabling their use in modelling complex, reconfigurable systems across multiple domains.

As a supervisor, I have worked with PhD students from a wide range of nationalities and academic backgrounds. I have supported research across diverse topics, including foundation models for neuroscience, the societal impact and risks of deploying AI in policing, safety-critical air traffic control systems, and cyber-physical systems for robotics. I take a hands-on approach to supervision, meeting regularly with students and co-supervisors to provide guidance and foster collaboration. I actively encourage my students to engage with different research communities by attending doctoral symposiums and conferences, and I support them in working towards high-impact publications.

Joining the DiveIn CDT would allow me to continue mentoring talented doctoral researchers in a collaborative and interdisciplinary environment, where diverse perspectives and expertise come together to tackle complex challenges with mathematical rigour and real-world relevance.

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