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SUMMARY:Safety and Resiliency of Dynamical Systems: the Dual Role of Uncer
 tainty
DTSTART:20220905T150000
DTEND:20220905T160000
DTSTAMP:20260502T005734Z
UID:fa2601cae3333fd06154b1f98f53f259750e7abdd448bc335996ff33
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Riccardo Ferrari\nAbstract: Critical infrastructures suc
 h as power grids\, communication and energy networks\; potentially dangero
 us industrial processes such as nuclear or chemical plants\; transportati
 on systems or autonomous robots. These are examples of systems for which s
 afety and resiliency should be an integral part of their design. The occu
 rrence of anomalies such as faults or cyber attacks can lead to unacceptab
 le losses\, or simply make the operation of those systems uneconomical. Fo
 r instance\, in the offshore wind energy sector Operation & Maintenance c
 osts can already reach up to 30% of the total lifetime cost. Detecting and
  accommodating faults before they lead to extreme consequences is thus a 
 key requirement. Model-based techniques constitute a powerful way to detec
 t anomalies\, by comparing the predictions of a mathematical model (or di
 gital twin as often referred to in the industry) of the system to real-tim
 e measurements coming from sensors. The central problem then becomes dete
 cting when differences between the two are caused by physiological uncerta
 inties present in the model and the sensors\, and when they are due to an 
 actual\, pathological fault. From this point of view\, thus\, uncertainti
 es are a challenge that must be fought. What this talk will show\, someway
  surprisingly\, is that uncertainty can also cover another role\, this ti
 me beneficial. This is the case of methods aimed at guaranteeing security\
 , and thus safety\, of cyber-physical systems from malicious cyber-attacks
 . In the presence of a malicious attacker\, a defender can consciously inj
 ect uncertainty in the data that the attacker may likely use to prepare an
  attack\, thus misleading them. This is the case for instance in Differen
 tial Privacy mechanisms\, watermarking techniques or\, when uncertainty is
  brought to an extreme case\, encryption algorithms.\n\nThe talk will sta
 rt by stating the fundamental problems in anomaly detection and fault tole
 rant control\, how robustness against uncertainty can be guaranteed\, and 
 then move to later results in cyber-security where uncertainty-augmenting
  methods are used to the benefit of defenders.\n \nSpeaker’s Bio: Ricca
 rdo M.G. Ferrari is a Marie Curie Alumnus and a Tenured Assistant Professo
 r in Fault Tolerant Control in the Delft Center for Systems and Control\, 
 within the Faculty of Mechanical\, Maritime\, and Materials Engineering (
 3mE) at Delft University of Technology\, The Netherlands. He investigates 
 how to make dynamical systems safe and resilient against faults\, malicio
 us cyber-attacks and degradation phenomena\, fighting uncertainty while do
 ing so. His research is applied to problems in wind energy\, in the aeros
 pace and in the automotive sectors\, in particular for electric and for co
 operative autonomous vehicles. He received the “Laurea” degree (Cum La
 ude and printing honours) in Electronic Engineering in 2004 and the Ph.D. 
 degree in Information Engineering in 2009\, both from the University of Tr
 ieste\, Italy. He is the recipient of the 2005 Giacomini Award of the Ital
 ian Acoustic Society\, and has authored and co-authored over 75 papers pub
 lished in international peer-reviewed journals and conference proceedings.
  He covered a unique career path that led him to hold both academical and 
 industrial R&D positions\, in particular as researcher and executive manag
 er in the field of process instrumentation and control for the steelmaking
  sector.\nIn 2005 he earned a B.A. in Classical Piano from the “G. Tarti
 ni” Conservatory of Music of Trieste (Italy).\n 
LOCATION:BI A0 448 https://plan.epfl.ch/?room==BI%20A0%20448
STATUS:CONFIRMED
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