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Delft Institute of Applied Mathematics

News

Peter Paul Peterich / DIAM Fast Track Scholarships

Martin van Gijzen has been appointed as the new Scientific Director of the DHPC

Effective September 1, Martin van Gijzen has been appointed as the new Scientific Director of the Delft High Performance Computing Centre (DHPC). Van Gijzen brings a wealth of knowledge and expertise to the centre, and he is committed to further developing the centre into a knowledge hub and go-to portal for high performance computing expertise at the TU Delft.

Next Event

07 January 2025 16:00 till 17:00

[AN] Tobias Werner: The Dirichlet Laplacian on a wedge

In this talk, I will present a new result for the Dirichlet Laplacian in wedges and polygons. Motivated by applications to stochastic partial differential equations, we consider appropriately weighted Sobolev spaces designed to capture singular behavior that are capable of incorporating singular behavior of the solutions, both at the boundary, as well as the singularities induced by the boundary itself. The key novelty is that the Dirichlet-Laplacian admits a bounded holomorphic functional calculus. This entails new maximal regularity results, in particular for the corresponding SPDE. The talk is based on joint work with Petru Cioica-Licht and Emiel Lorist.

Research Groups

Analysis

We focus on Functional Analysis and Operator Theory with applications to the study of (partial) differential equations, both deterministic and non-deterministic.

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Applied Probability

We cover a large spectrum of research areas in probability theory, going from very application-driven towards fundamental research.

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Discrete Mathematics & Optimization

Mathematical optimization lies at the heart of many techniques in economy, econometrics, process control, and so on.

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Mathematical Physics

We work on mathematical modeling of physical phenomena, often leading to systems of (partial) differential equations.

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Numerical Analysis

Our research program concentrates on the development and application of computing methods to the applied sciences.

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Statistics

Data are measured everywhere. We model data statistically and study the resulting models mathematically.

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Applied Mathematics Stories

Inverse modelling – for improved medical imaging and much more

Hanne Kekkonen specialises in the mathematics used to solve inverse problems. Applications include medical imaging, climate change, the evolution of competing languages, materials science and many more.

Neural networks put the afterburners on skin recovery models

First aid for burn injuries is to cool the area for twenty minutes with lukewarm running water. Math can play an important role in choosing the subsequent, often more intensive, treatment aimed at reducing the probability of permanent damage or even disabilities. But these mathematical models for skin recovery must be fast. By applying neural networks, Marianne Schaaphok increased their speed by more than a million times.

Aad van der Vaart: academic globetrotter touches down in Delft

The academic globetrotter Aad van der Vaart will be working in the Faculty of Electrical Engineering, Mathematics and Computer Science to raise the concept of causality – research into cause and effect – to a higher level.

Marieke Kootte

Why do you need Mathematics to charge your phone?

Understanding noise – from quantum fluctuations to climate models

Mark Veraar researches mathematical models to reduce the disruptive influence of noise on all kinds of processes.

Modelling a flexible electricity system

Using numerical analysis, Marieke Kootte is developing a model to link high-voltage and low-voltage distribution networks.

A fresh perspective on potato growth

Requiring less water and less time to grow than rice, corn or wheat, potatoes may well be the answer to the growing worldwide demand for food. But what are the key factors that determine a successful potato harvest? Asked to provide a fresh perspective, Neil Budko develops numerical methods for the analysis of carefully controlled potato growth experiments.

A bit of math to constrain epidemics

Most people like to keep both mathematics and epidemics at a distance. But a little bit of the former can do wonders in limiting the latter. Supervised by professor Kees Vuik, two high school students modelled a recent outbreak of cholera in Ghana. He also has a bachelor student investigating the new corona virus.

A bit of math to constrain epidemics

> All Applied Mathematics Stories

Vacancies at the Elecitrical Enginieering, Mathematics and Computer Science faculty

Upcoming Events

January

07

[AN] Tobias Werner: The Dirichlet Laplacian on a wedge
13
Seminar

[STAT/AP] Rianne de Heide: Recent developments in e-value-based multiple testing
16

[PDE&A] Jason Frank
17

[NA] Richard Löscher: TBA
20
Seminar

[STAT/AP] Julia Olkhovskaya: Challenges and recent progress in reinforcement learning for large-scale environments.