Francesca Boem is a Lecturer in the Department of Electronic and Electrical Engineering at University College London (UCL). From July 2018 she has been offered an association with Imperial College London as Honorary Lecturer in the Department of Electrical and Electronic Engineering.
Francesca Boem received the M.Sc. degree (cum laude) in Management Engineering in 2009 and the Ph.D. degree in Information Engineering in 2013, both from the University of Trieste, Italy. She was Post-Doc at the University of Trieste with the Machine Learning Group from 2013 to 2014.
From 2014 to 2018, she was Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, with the Control and Power Research Group. Since 2015 she has been part of the team at Imperial College working on the flagship EU H2020-WIDESPREAD-TEAMING project for the development of the EU KIOS Research and Innovation Centre of Excellence, a strategic partnership between University of Cyprus and Imperial College London.
In 2018 Dr. Boem has been awarded the Imperial College Research Fellowship. From April 2018 she has been appointed as a Lecturer in the Department of Electronic and Electrical Engineering at University College London.
Dr. Boem is member of the IFAC Technical Committee 6.4 (‘‘Fault Detection, Supervision & Safety of Technical Processes - SAFEPROCESS’’) and Associate Editor for the IEEE Control System Society Conference Editorial Board and for the EUCA Conference Editorial Board.
Research Interests. Her current research interests include scalable methods for safety, security and fault-tolerant control for large-scale networked systems, with applications to power networks and critical infrastructures.
et al., 2019, Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties, Ieee Transactions on Automatic Control, Vol:64, ISSN:0018-9286, Pages:4-19
Boem F, Sabattini L, Secchi C, 2019, Decentralized state estimation for the control of network systems, Journal of the Franklin Institute-engineering and Applied Mathematics, Vol:356, ISSN:0016-0032, Pages:860-882
et al., 2018, Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring, Ieee Transactions on Power Systems, Vol:33, ISSN:0885-8950, Pages:4228-4237
et al., 2018, Distributed Pareto-optimal state estimation using sensor networks, Automatica, Vol:93, ISSN:0005-1098, Pages:211-223
et al., 2018, CPS-MT: A Real-Time Cyber-Physical System Monitoring Tool for Security Research, 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), IEEE, Pages:240-241