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SUMMARY:To each their own – Decision-making in a connected world
DTSTART:20230424T110000
DTEND:20230424T120000
DTSTAMP:20260925T061625Z
UID:325fcded8053510b06aec8846b3a166e608eaa032c8669f6ab10eca3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dinesh Krishnamoorthy (TU Eindhoven)\nAbstract: \n\nRe
 al-time decision-making and coordination using distributed optimization i
 s essential in many engineering problems. Current literature on distribute
 d optimization assumes all agents use model-based optimization for local d
 ecision-making. However\, in practice\, agents might prefer to use differe
 nt decision-making techniques\, such as feedback optimization\, or black-b
 ox optimization. To account for the heterogenous nature of the subsystems\
 , first part of the talk presents a methodology-agnostic decision-making f
 ramework\, where each agent can freely choose its local optimization metho
 d\, yet still take coordinated actions.  \n\n \n\nDistributed optimizat
 ion typically requires several iterations/communication rounds to converge
  to the overall optimal solution. Repeatedly solving optimization problems
  in each subsystem adds to the overall computational cost\, which can hind
 er real-time decision-making. Noting that the subproblems solved from one 
 iteration to the next differ only by a few variables\, the second part of 
 the talk presents a "sensitivity-assisted distributed optimization" framew
 ork\, where the subproblems are cheaply approximated using parametric sens
 itivities from one iteration to the next\, improving the computation times
  by orders of magnitude.  \n\n \n\nBio: Dinesh Krishnamoorthy is an A
 ssistant professor at the Department of Mechanical Engineering at TU Ein
 dhoven\, where he is a part of the Control Systems Technology group. 
 Prior to this\, he was a post-doctoral researcher at Harvard University. D
 inesh received his PhD in Process Systems Engineering from the Norwegian
  University of Science and Technology (2019)\, MSc in Control Systems fro
 m Imperial College London (2012)\, and B.Eng in Mechatronics from the Un
 iversity of Nottingham (2011). Dinesh was also working as a Senior Resea
 rcher at Statoil Research centre between 2012-2016\, and was also a part-
 time Senior Data Science consultant for Novo Nordisk R&D (2021). Among o
 thers\, Dinesh has received the Dimitirs. N. Chorafas Foundation Award\,
  PhD Excellence Award from the European Federation of Chemical Engineer
 s (EFCE)\, NTNU Faculty of Natural Sciences Best PhD Thesis Award\, as 
 well as an IFAC Young author award. His research interests include distr
 ibuted optimization\, optimal control\, and data-driven optimization\, wi
 th applications to energy and biomedical systems. 
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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