Francesco Flammini got with honors his master (2003) and doctoral (2006) degrees in Computer Engineering from the University of Naples Federico II, Italy. He is currently a Professor of Computer Science with a focus on Cyber-Physical Systems at Mälardalen University (Sweden). He has been a Senior Lecturer and the chair of the Cyber-Physical Systems group at Linnaeus University (Sweden). He has worked for almost 15 years in private and public companies, including Ansaldo STS (now Hitachi Rail) and IPZS (Italian State Mint and Polygraphic Institute), on large international projects addressing intelligent transportation systems, critical infrastructure protection and cybersecurity, as a technical leader and unit head. He is an IEEE Senior Member and the Chair of the IEEE SMC Technical Committee on Homeland Security. He is also a member of the ERCIM Working Group on Formal Methods for Industrial Critical Systems (FMICS), He has (co)authored 100+ scientific publications and he has served as a chair, invited speaker, steering/program committee member, and editor for several international conferences and journals. He has been an adjunct professor and guest lecturer of computer science, software engineering and cybersecurity at the University of Maryland University College (UMUC) Europe, Second University of Naples (Italy), University of Naples Federico II (Italy), University Campus Biomedico of Rome (Italy) and University of Girona (Spain).
Towards Model-Based Performability Evaluation ofProduction Systems (Sep 2020) Alessio Bucaioni, Francesco Flammini, Mats Ahlskog Work-in-progress at IEEE International Conference on Emerging Technologies and Factory Automation (WIP@ETFA)
|Civilingenjör 4.0 Module C11 "Cyber Security, Industrial Data Protection and Data Integrity"||active|
|CPS-based resilience for critical infrastructure protection||active|
|MITC - Mälardalen Industrial Technology Center||active|
|PERformance-based Formal modelling and Optimal tRaffic Management for movING-block RAILway signalling||active|
|PREMIUM - Professional Education for Manufacturing Innovation||active|
|Roadmaps for A.I. integration in the raiL Sector||active|