The focus of this seminar is various methods in scientific computing, the analysis of their convergence properties and computational efficiency, and their adaptation to specific applications.

The seminar meets Mondays 1:30-2:20pm EST in Gates 114. Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Mar 06	Elaine Petro (Mechanical and Aerospace Engineering, Cornell) Challenges and Opportunities in Spacecraft Electric Propulsion Plume Modeling
Mar 13	Marissa Gee (Center for Applied Mathematics, Cornell University) Navigating the Landscape of Fear
	Dongping Qi (Center for Applied Mathematics, Cornell University) Surveillance evasion through Bayesian reinforcement learning
Mar 20	Mallory Gaspard (Center for Applied Mathematics, Cornell University) Monotone Causality in Opportunistically Stochastic Shortest Path Problems
	MingYi Wang (Center for Applied Mathematics, Cornell University) Risk-aware stochastic control of a sailboat
Mar 27	Nikhil Garg (Operations Research and Information Engineering, CornellTech) Efficiency and equity in resident crowdsourcing: math modeling and missing data challenges
Apr 03	Spring break
Apr 10	TBA
Apr 17	Karthik Elamvazhuthi (Mechanical Engineering, UC Riverside) Approximation properties of Neural ODEs from a Control Theoretic Perspective
Apr 24	Andrew Hein (Department of Computational Biology, Cornell University) Toward a theory of edges: using big and deep data to understand the connectedness of ecosystems
May 01	Xiangtao Xu (Department of Ecology and Evolutionary Biology, Cornell University) Monitoring forest growth and mortality under a changing climate: opportunities from big data across ecological scales
May 08	Margaret Chapman (Department of Electrical and Computer Engineering, University of Toronto) Towards Trustworthy Autonomy: A Risk-Aware Perspective