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Stefano Forti

Assistant professor, Department of Computer Science · University of Pisa

https://researchid.co/stefano.forti
@unipi.it
75Scopus Publications
2011Google Scholar Citations
20Google Scholar h-index
33Google Scholar i10-index

Research Interests

cloud-edge continuum, distributed systems, software engineering, green computing, automated reasoning

Biography

Stefano Forti is an assistant professor (RTDa) at the Department of Computer Science, University of Pisa, Italy. His position is partly funded with ESF REACT-EU resources. He is part of the Service-Oriented, Cloud and Fog Computing research group and of the Pervasive AI Lab. His research focuses on the QoS-aware management of multiservice applications in Cloud-IoT ecosystems. His scientific interests include cloud-edge computing paradigms, secure software engineering, sustainable computing, and knowledge representation and reasoning. He has taught several practical modules in advanced software engineering and is passionate about innovative methodologies for teaching computer science at all levels. Since 2015, he has been coordinating the Pisa CoderDojo club to teach young people how to code.

Education

- 2020 PhD in Computer Science. Thesis: Deployment and Management of Fog Applications, University of Pisa - 2016 MSc in Computer Science and Networking. Thesis: QoS-Aware Deployment Through the Fog, University of Pisa and Sant'Anna School of Advanced Studies - 2014 BSc in Computer Science. Thesis: From Label Address to Geocode: Strategies for an Implementation (supervisors: Prof. Anna Bernasconi and Prof. Michela Bertolotto), University of Pisa

Recent Scopus Publications

  1. Declarative traffic engineering for Low-Latency and reliable networking
    Future Generation Computer Systems, 2026
  2. A Constraint-Based Approach to Optimise QoS- and Energy-Aware Cloud-Edge Application Deployments
    ACM Transactions on Internet Technology, 2026
  3. ECLYPSE: A Python Framework for Simulation and Emulation of the Cloud-Edge Continuum
    Journal of Software Evolution and Process, 2026
  4. Combining declarative and linear programming for application management in the cloud-edge continuum
    Future Generation Computer Systems, 2026
  5. Declarative Deployment Planning for Green Pulverised Collective Computational Systems
    Lecture Notes in Computer Science, 2025

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