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UID:20261016T224209EDT-54206VxOc4@132.216.98.100
DTSTAMP:20261017T024209Z
DESCRIPTION:Virtual Informal Systems Seminar (VISS)\n	Centre for Intelligent
  Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisio
 ns (GERAD)\n\n**This is a joint event with GERAD seminar organized by Anto
 ine Lesage-Landry\n\n\n	\n		\n			Speaker: Josh Taylor\, Associate Professor\, El
 ectrical and Computer Engineering\, University of Toronto\, Canada\n			\n			Abst
 ract: \n			In this talk\, we begin by optimizing the gradostat\, in which sev
 eral bioreactors are interconnected by mass flow and diffusion. The grados
 tat is of interest both as a classical nonlinear system and because the ba
 sic network structure and nonlinearities appear in a wide variety of biopr
 ocesses\, including wastewater treatment. We formulate a convex relaxation
  for optimizing the gradostat. The relaxation is exact under several condi
 tions\, for example\, if the gradostat is outflow connected and its flow m
 atrix is irreducible. When the microbial growth in the bioreactors is desc
 ribed by the Monod or Contois functions\, the relaxation is a second-order
  cone program\, which can be solved at scales of over 10^5 variables in mi
 nutes with industrial software. We present a numerical example based on th
 e operation of a wastewater treatment network over a two-week period.\n			\n			B
 iography:\n			Josh Taylor received the B.S. from Carnegie Mellon University i
 n 2006 and the Ph.D. from the Massachusetts Institute of Technology in 201
 1\, all in Mechanical Engineering. From 2011 to 2012\, he was a postdoctor
 al researcher at the University of California\, Berkeley. He joined the Un
 iversity of Toronto in 2013\, where he is currently the Percy Edward Hart 
 Associate Professor of Electrical and Computer Engineering. His research f
 ocuses on control and optimization of energy and water infrastructure.\n	\n
 \n
DTSTART:20220922T200000Z
DTEND:20220922T210000Z
LOCATION:CA\, ZOOM
SUMMARY:Convex Optimization of Bioprocesses
URL:https://www.mcgill.ca/cim/channels/event/convex-optimization-bioprocess
 es-351868
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