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SUMMARY:MechE Colloquium: Learning of Complex Dynamical Systems in Adversa
 rial Environments with Applications to Power Systems
DTSTART:20250520T120000
DTEND:20250520T130000
DTSTAMP:20260415T163906Z
UID:355853523c65106e5bbd32b935d2bd5184fcff790d08e84cf7f1df6e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Javad Lavaei\, Industrial Engineering and Operations Re
 search\, University of California\, Berkeley\nAbstract: To improve the ef
 ficiency\, resiliency\, and sustainability of power systems and to address
  climate change issues\, the operation of power systems is becoming data c
 entric. Major operational problems\, such as security-constrained optimal 
 power flow\, contingency analysis\, and transient stability analysis\, rel
 y on the knowledge extracted from sensory data. The manipulation of the da
 ta by a malicious actor can tamper with the operation of the grid\, whose 
 consequences are catastrophic physical damages to the equipment and cascad
 ing failures. Data-driven operation goes beyond power systems and applies 
 to driverless cars and many other applications. In this talk\, we first di
 scuss the vulnerability of complex systems to cyberattacks and faults\, an
 d then study how to learn the model of a complex system in an adversarial 
 environment and detect possible attacks simultaneously. We develop differe
 nt types of attack detection algorithms and learning mechanisms and demons
 trate their performances on real-world data. We show that it is possible t
 o learn the model of a complex dynamical system in finite time even when t
 he system is under attack at almost all times.\n\nBiography: Javad Lavaei
  is an Associate Professor at the University of California\, Berkeley. He 
 has won several awards\, including the Presidential Early Career Award for
  Scientists and Engineers given by the White House\, DARPA Young Faculty A
 ward\, Office of Naval Research Young Investigator Award\, Air Force Offic
 e of Scientific Research Young Investigator Award\, NSF CAREER Award\, DAR
 PA Director's Fellowship\, Office of Naval Research's Director of Research
  Early Career Grant\, and Google Faculty Award. Javad Lavaei is a senior e
 ditor of the IEEE Systems Journal and has served on the editorial boards o
 f the IEEE Transactions on Automatic Control\, IEEE Transactions on Contro
 l of Network Systems\, IEEE Transactions on Smart Grid\, and IEEE Control 
 Systems Letters. Javad Lavaei is a recipient of 2015 INFORMS Optimization 
 Society Prize for Young Researchers\, 2016 Donald P. Eckman Award given by
  the American Automatic Control Council\, 2016 INFORMS ENRE Energy Best Pu
 blication Award\, 2017 SIAM Control and Systems Theory Prize\, 2020 Journa
 l of Global Optimization Best Paper Award\, and 2022 Antonio Ruberti Young
  Researcher Prize. He has received over 10 best paper awards from the Cont
 rol Systems Society\, INFORMS\, and Power & Energy Society. Javad Lavaei i
 s a Fellow of IEEE.
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418 https://epf
 l.zoom.us/j/64267570786
STATUS:CONFIRMED
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