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UID:b6504bce-f672-41a8-9751-bd3e982cb06b@nexttoyou
DTSTAMP:20261105T160208Z
DTSTART:20261105T203000Z
DTEND:20261105T213000Z
SUMMARY:Taha Ameen\, "Recent progress on flexibility design in spatial mat
 ching markets"
LOCATION:Benedum Hall 102\, 3700 O'Hara Street\, Pittsburgh\, PA 15261
DESCRIPTION:Abstract:\nMatching markets pair requests with the resources t
 hat can serve them. Such systems are ubiquitous in healthcare\, transport
 ation\, communication\, and computing\, where they assign medical residen
 ts to hospitals\, donated organs to patients\, vehicles to riders\, worke
 rs to tasks\, and AI jobs to data centers. Spatial matching markets embed
  demand and supply nodes in an underlying space\, and their proximity in 
 the space determines compatibility. Some service nodes are more flexible 
 than others\, i.e compatible with more demand because they have larger se
 rvice regions. On the other hand\, a platform like Uber or TaskRabbit can
  influence these supply side flexibilities through incentives. How can it
  do so optimally to optimize downstream performance? We study this questi
 on through the lens of probabilistic modeling and bipartite random geomet
 ric graphs. Based on joint work with Flore Sentenac and Sophie H. Yu.\n\n
 Bio:\nTaha Ameen is a postdoctoral fellow with the computer science depar
 tment at Carnegie Mellon University. He obtained his PhD in electrical en
 gineering from the University of Illinois Urbana-Champaign. His research 
 interests are in applied probability\, operations research\, matching mar
 kets\, and statistical inference on networks. His work has been recognize
 d by several awards including the outstanding poster award at stochastic 
 networks conference\, the Jack Wolf best student paper award at IEEE ISIT
 \, and finalist nominations for the INFORMS MSOM student paper award\, a\
 n\nhttp://next-to-u.app/events/b6504bce-f672-41a8-9751-bd3e982cb06b
URL:http://next-to-u.app/events/b6504bce-f672-41a8-9751-bd3e982cb06b
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