Oct 20 Applied Mathematics Agora 4 – 5 p.m., Oct. 20, 2025 Challenges and opportunities at the confluence of Inertial Fusion Energy (IFE) and applied math (AM): The IFE-AM Agora Horst Hahn, Material Science & Engineering, UA AND Samuel McLaren, Computational Laser Physicist, Lawrence Livermore National Laboratory (LLNL)
Oct 24 Applied Mathematics Colloquium 4 – 5 p.m., Oct. 24, 2025 The role of Applied Mathematics in the RF SciDAC Program John Wright, Plasma Science & Fusion Center, MIT
Oct 17 Applied Mathematics Colloquium 4 – 5 p.m., Oct. 17, 2025 Careful or colorful? The evolution of animal ornaments Daniel M. Abrams, Northwestern Institute on Complex Systems, Northwestern University
Oct 10 Applied Mathematics Colloquium 4 – 5 p.m., Oct. 10, 2025 From Waves to Metachrony: Neuromechanical Strategies in Locomotion and Organismal Fluid Pumping at Intermediate Reynolds Numbers Alex P. Hoover, Cleveland State University
Oct 31 Applied Mathematics Colloquium 4 – 5 p.m., Today Challenges and opportunities in modeling ice sheets Hélène Seroussi, Dartmouth College
Sep 26 Applied Mathematics Colloquium 4 – 5 p.m., Sept. 26, 2025 Numerical approximation for a fluid flow problem arising from reverse osmosis modeling in water desalination Manuel Solano, University of Concepción, Chile
Sep 12 Applied Mathematics Colloquium 4 – 5 p.m., Sept. 12, 2025 Organizational strategies for collectives - optimization in complex systems and the biology of social insects Anna Dornhaus, Professor, Ecology & Evolutionary Biology, UofA
Aug 28 Applied Mathematics Colloquium (Joint with Math Dept) 4 – 5 p.m., Aug. 28, 2025 Adversarial Dynamics and the Boundaries of Data-Driven Koopman Spectral Computability Matthew Colbrook, University of Cambridge
May 02 Applied Mathematics Colloquium 4 – 5 p.m., May 2, 2025 Keynote speaker, SIAM Mini-Conference 2025 The Future of AI in Astronomy: Our Tool, Our Partner, Our Replacement? Ann Zabludoff, Professor, Dept of Astronomy, UofA
Apr 28 Al Scott Lecture 4 – 5 p.m., April 28, 2025 Lagrangian Reduced-Order Models of Turbulence in the Age of Machine Learning Criston Hyett, Program in Applied Mathematics