Apr 24 Ph.D. Final Oral Dissertation Defense 2 to 4 p.m., April 24, 2024 Bayesian Additive Regression Networks Danielle Van Boxel, Program in Applied Mathematics, University of Arizona
Apr 03 PhD Final Oral Dissertation Defense 1 to 3 p.m., April 3, 2024 Multi-Spacecraft Observatory Data Analysis Techniques: Uncertainty Quantification & Comparison Theodore (Teddy) Broeren, Program in Applied Mathematics, University of Arizona
Nov 08 PhD Final Oral Dissertation Defense 9 a.m. to noon, Nov. 8, 2023 A Geometric Framework for Adversarial Vulnerability in Machine Learning Brian Bell, Program in Applied Mathematics, University of Arizona
Nov 03 PhD Final Oral Dissertation Defense 10 a.m. to 1 p.m., Nov. 3, 2023 Michael Woodward, Program in Applied Mathematics, University of Arizona Reduced Lagrangian and Mori-Zwanzig models: Applications to Turbulent Flows
Nov 07 PhD Final Oral Dissertation Defense 9 a.m. to noon, Nov. 7, 2023 Spectral Broadcast Structures for Both Discrete and Continuous Variables in Quantum Open Systems Alberto Acevedo, Program in Applied Mathematics, University of Arizona
Aug 01 PhD Final Oral Dissertation Defense 9:30 a.m. to 12:30 p.m., Aug. 1, 2023 Estimating High-Contrast Power Spectra via Iterated Whitening Jared McBride, Program in Applied Mathematics, University of Arizona
Jun 15 Ph.D. Final Dissertation Defense 1 to 4 p.m., June 15, 2023 Quantifying the Impacts of Collective Behaviors on Epidemic Spread Bill Fries, Program in Applied Mathematics, University of Arizona
Apr 14 PhD Final Oral Dissertation Defense 2 p.m., April 14, 2023 Optimization Based Scheme for Solving Richards' Equation Greg Johnson, Program in Applied Mathematics, University of Arizona
Mar 16 PhD Final Oral Dissertation Defense 2 p.m., March 16, 2023 Receptivity of Chemically-Reacting Hypersonic Boundary Layers to Kinetic Fluctuations Kevin Luna, Program in Applied Mathematics, University of Arizona
Sep 14 PhD Final Oral Dissertation Defense 10:30 a.m., Sept. 14, 2022 <p><span><span><span><strong>Developments on Autonomous Task Coordination Using a Continuous Motivation State</strong><br /> Craig Thompson, Program in Applied Mathematics, University of Arizona</span></span></span></p>