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SUMMARY:Model reduction and control of Flows over complex and responsive S
 urfaces - Shervin Bagheri\, KTH\, Royal Institute of Technology in Stockho
 lm
DTSTART:20260128T140000Z
DTEND:20260128T150000Z
UID:TALK242611@talks.cam.ac.uk
CONTACT:Anna Walczyk
DESCRIPTION:Flows over complex surfaces exhibit rich physics that offer op
 portunities for control—such as drag reduction or heat transfer enhancem
 ent—but can also lead to detrimental effects like increased drag from ro
 ughness or contamination by bacterial biofilms. In some systems\, surfaces
  (such as rough or porous materials) passively modify momentum transfer wi
 thout being significantly affected by the flow. In others\, including bact
 erial biofilms or lubricated walls\, the surface evolves dynamically under
  flow\, resulting in strong coupling and feedback between surface and flow
 . This talk presents recent progress toward reduced-order and data-driven 
 models that efficiently capture these interactions. For passive surfaces\,
  homogenization and machine-learning approaches are used to represent thei
 r effective influence on the flow. For responsive surfaces\, models descri
 be and eventually enable control of the coupled surface–flow evolution. 
 Together\, these advances provide new ways for predicting and controlling 
 flow–surface interactions across physical and biological systems.
LOCATION:LT6
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