Mathematics knows no races or geographic boundaries; for mathematics, the cultural world is one country.” David Hilbert (1862—1943, German mathematician)
Oliver Tse is an Assistant Professor in the Applied Analysis group of the Centre for Analysis, Scientific computing and Applications (CASA) at Eindhoven University of Technology (TU/e). Oliver’s areas of expertise include modeling and simulation, numerical simulation, optimization, mathematical modeling, nonlinear dynamics, stability analysis, parameter estimation and optimal control. His research topics have included Nonlinear diffusion systems: well-posedness Kinetic equations: qualitative properties, multiscale modelling and numerical simulation Optimal control with PDEs: analysis of adjoint-based methods Interacting particle systems: consensus-based methods in global optimization, disease dynamics Oliver is interested in anything and everything that helps him understand the origin and intricate behavior of nonlinear and nonlocal Partial Differential Equations (PDEs). His current interest lies on the connections between optimal transport, (generalized) gradient flows and large deviations, and in probabilistic methods for studying PDEs. He hopes to develop new analytical tools by unveiling or establishing these connections.
Oliver Tse obtained his master’s degree in Applied Mathematics at the University of Kaiserlautern (sponsored by the Fraunhofer Institute for Industrial Mathematics), and later went on to earn his doctorate (Dr. rer. nat.) in 2011 under the supervision of Prof. René Pinnau. Oliver worked for this university for five years, including two years as an Assistant Professor in the Industrial Mathematics group (Department of Mathematics).
Convergence to equilibrium in Wasserstein distance for damped Euler equations with interaction forcesCommunications in Mathematical Physics (2019)
An analytical framework for consensus-based global optimization methodMathematical Models and Methods in Applied Sciences (2018)
An analytic method for agent-based modeling of spatially inhomogeneous disease dynamicsAIP Conference Proceedings (2017)
Numerical simulation of agent-based modeling of spatially inhomogeneous disease dynamics8th Jagna International Workshop, 4–7 January 2017, Bohol, Philippines (2017)
A consensus-based model for global optimization and its mean-field limitMathematical Models & Methods in Applied Sciences (2017)
- Complex analysis
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