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SUMMARY:From Data to Decisions in Large Scale Dynamical Systems
DTSTART:20170316T131500
DTEND:20170316T141500
DTSTAMP:20260413T235559Z
UID:d7fabbf4aa6439e38722ffa9b6791407ab27b9346a9c99a64457a568
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Peyman Mohajerin Esfahani\, Assistant Professor\, Delft Un
 iversity of Technology\nA broad spectrum of applications\, such as power s
 ystems operation\, manufacturing\, anomaly detection and security\, can be
  viewed as decision-making problems in uncertain and dynamic environments.
  This class of problems is naturally formulated in an optimization framewo
 rk whose exact solution is often intractable. In this seminar\, we conside
 r tractable randomized counterparts of these programs. We establish a prob
 abilistic bridge between the proposed random solutions and the original on
 es from both feasibility and performance perspectives. We also discuss how
  the presented results lead to a novel design paradigm along with a scalab
 le methodology for the problem of fault detection\, which is applicable to
  high dimensional nonlinear dynamical systems. The discussion will be moti
 vated by a cyber-physical attack emanating from the vulnerabilities introd
 uced by the interaction between IT infrastructure and power systems.\n\nBi
 o: Peyman Mohajerin Esfahani is an assistant professor in the Delft Center
  for Systems and Control at the Delft University of Technology. Prior to j
 oining TU Delft\, he held several research appointments at EPFL\, ETH Zuri
 ch\, and MIT between 2014 and 2016. He received the B.Sc. and M.Sc. degree
 s in Sharif University of Technology\, Iran\, and the PhD degree from ETH 
 Zurich. His research interests include theoretical and practical aspects o
 f decision-making problems in uncertain and dynamic environments\, with ap
 plications to control and security of large-scale and distributed systems.
 \n\nHe was selected for the Spark Award by ETH Zurich for the twenty best 
 inventions of the year in 2012\, and received the SNSF Postdoc Mobility fe
 llowship in 2015. He was one of the three finalists for the Young Research
 er Prize in Continuous Optimization awarded by the Mathematical Optimizati
 on Society in 2016. He was a recipient of the 2016 George S. Axelby Outsta
 nding Paper Award from the IEEE Control Systems Society.\n 
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STATUS:CONFIRMED
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