Oliver Tse
Department / Institute
RESEARCH PROFILE
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.
Mathematics knows no races or geographic boundaries; for mathematics, the cultural world is one country.” David Hilbert (1862—1943, German mathematician)
ACADEMIC BACKGROUND
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).
Recent Publications
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Accelerating optimization over the space of probability measures
(2023) -
Variational method for learning Quantum Channels via Stinespring Dilation on neutral atom systems
(2023) -
Recapture probability for antitrapped Rydberg states in optical tweezers
Physical Review A (2023) -
Generalized gradient structures for measure-valued population dynamics and their large-population limit
Calculus of Variations and Partial Differential Equations (2023) -
Recapture Probability for anti-trapped Rydberg states in optical tweezers
arXiv (2023)
Ancillary Activities
No ancillary activities