Organizers: Peter Craigmile, Bora Ferlengez, Vincent Martinez, Indranil SenGupta
Time: Thursday, 4:00-5:10pm EST
Location: Hunter East 920 and Zoom
Zoom: link Passcode: HMSC2026
Current Schedule (Spring 2026)
January 29
(First week of classes)
February 5
Lianghao Cao, Caltech (Department of Computational and Mathematical Sciences)
Title: Operator Learning for Predictive Scientific Computing
Abstract: Simulation-based predictions are increasingly driving high-stakes decisions that affect our welfare and security, yet building trust in these predictions remains a fundamental challenge. In this talk, I show how operator learning can be tailored to enable reliable, predictive scientific computing that would otherwise be intractable. I focus on the design of architectures and learning formulations for two problems central to this goal: inelastic homogenization in multiscale modeling and amortized Bayesian inversion in uncertainty quantification. I conclude by outlining opportunities for future research.
February 12
(College Closed)
February 19
Speaker, Institution (Department)
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February 26
Speaker, Institution (Department)
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March 5 (Meet the Faculty)
Olympia Hadjiliadis, Hunter College (Department of Mathematics and Statistics)
Title: To be announced
Abstract: To be announced
March 12
Speaker, Institution (Department)
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March 19
Speaker, Institution (Department)
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March 26 (Meet the Faculty)
Matthew Durham, Hunter College (Department of Mathematics and Statistics)
Title: To be announced
Abstract: To be announced
April 2
(Spring Break)
April 9
(Spring Break)
April 16
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April 23
Abhijit Campanerkar, College of Staten Island (Department of Mathematics) and Graduate Center, CUNY
Title: Graphs, growth and geometry
Abstract: We study the growth rate of the number of spanning trees of a sequence of planar graphs that diagrammatically converge to a planar lattice graph. A surprising fact about the spanning tree entropy for many planar lattice graphs is that its value is closely related to hyperbolic geometry. We conjecture sharp upper and lower bounds for the spanning tree entropy of any planar lattice graph. We explain the context and recent progress for our conjecture, which lies at the intersection of hyperbolic geometry, knot theory, number theory, probability, and graph theory.
April 30
Lisa Carbone, Rutgers University (Department of Mathematics)
Title: To be announced
Abstract: To be announced
May 7 (Student Research Presentations)
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May 14 (Student Research Presentations)
Speakers, Institution (Department)
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