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Delft Institute of Applied Mathematics

Mathematics News

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A mathematical perspective on opinion formation

From new insights into the dynamics of opinion formation and collective behaviour, to a better understanding of cell membranes – all with mathematics. Rik Versendaal has received a NWO M grant for his ‘The voter model on Riemannian manifolds’ research project. By combining probability calculation with geometry, he hopes to create new mathemical insights that could help innovations in social sciences, biology, physics and data analysis.

New computer model predicts survival of children after CPR

After a child is resuscitated, parents experience a long period of uncertainty. In many cases, they are uncertain whether and how their child will recover. To change this, researchers from TU Delft and Erasmus MC developed a machine-learning model that can predict survival of children as early as 24 hours after resuscitation. The scientific paper on this study was published in the renowned journal Neurology.

A map of the human brain and better math for curvature problems

Knowing an environment and finding the best route: they are more important than you might think. They could give insight into more efficient logistics, and even advance complex health research. For example, a map of brain networks could help in understanding neurological disorders. And in the brain, as in many other structures across the sciences, there are complex mathematical curvatures to account for. To fund research in both domains the Dutch Research Council (NWO) awards a Vidi to Borbála Hunyadi and Richard Kraaij.

11,000 young researchers have obtained a PhD from TU Delft

It was a very memorable day for PhD Amey Vasulkar last Thursday, the 19th of September. Not only did he successfully defend his promotion on Arctic Sea Ice in Tide Models, but he was also the 11,000th student to obtain a PhD from TU Delft. We are incredibly proud of and thankful for every single one of these 11,000 PhDs who started their scientific journey with us and continuously strive to change the world through their scientific innovations.

10 years of innovative maths education within TU Delft: congratulations PRIME!

Het PRogramme of Innovation in Mathematics Education (PRIME) is gericht op het herontwerpen van wiskundevakken voor ingenieurs. PRIME ging in 2014 van start, door middel van een pilot programma. PRIME is onderdeel van het Interfacultair Onderwijs vanuit de Department of Applied Mathematics (DIAM) bij TU Delft. Het programma maakt gebruik van een blended learning-cyclusontwerp om wiskunde te geven aan niet-wiskundestudenten binnen de gehele TU Delft.

EEMCS bachelor student publishes paper in leading medical journal

Ana van Lieshout Titan - prospective master's student in applied mathematics at the Faculty of EEMCS - wrote her bachelor thesis during an internship at the Harvard T.H. Chan School of Public Health. And her thesis has now resulted in a publication in the leading medical journal The Lancet Global Health. Ana developed mathematical models for the preventative treatment of tuberculosis among ex-prisoners in Brazil. It’s a tremendously special achievement that Ana has reached this milestone so early in her (scientific) career!

Five grants awarded to EEMCS projects by Open Education Stimulation Fund

The Open Education Stimulation Fund (OESF) 2023 has awarded grants to 5 project proposals by EEMCS educators and researchers. A total of 13 TU Delft proposals have received the grant. The OESF encourages TU Delft staff to innovate their teaching with open educational resources and open practices.

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.

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Mathematics Events

18 March 2025 16:00 till 17:00

[AN] Yuezhao Li: On robustness of topological phases of matter

21 March 2025 12:30 till 13:15

[NA] Antoine Lechevallier : Enhancing History Matching with Machine Learning: A Hybrid Newton Approach

24 March 2025 12:45 till 13:35

[STAT/AP] Max Ramgraber: tba

25 March 2025 16:00 till 17:00

[AN] Cyril Houdayer: Noncommutative Poisson boundaries and Connes’ rigidity conjecture

31 March 2025 13:00 till 18:00

Afternoon on Scientific Machine Learning in Industry

07 April 2025 12:45 till 13:35

[STAT/AP] Elisa Perrone: tba

10 April 2025 16:00 till 17:00

[PDE&A] Anh Khoa Doan: Scientific Machine Learning techniques for fluid mechanics

28 April 2025 12:45 till 13:35

[STAT/AP] Alessandro Zocca

01 May 2025 16:00 till 17:00

[PDE&A] Gianne Derks

08 May 2025 16:00 till 17:00

[PDE&A] Rafael Bailo

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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

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Vacancies at the Elecitrical Enginieering, Mathematics and Computer Science faculty

Upcoming Events

March

18

[AN] Yuezhao Li: On robustness of topological phases of matter
21

[NA] Antoine Lechevallier : Enhancing History Matching with Machine Learning: A Hybrid Newton Approach
24
Seminar

[STAT/AP] Max Ramgraber: tba
25

[AN] Cyril Houdayer: Noncommutative Poisson boundaries and Connes’ rigidity conjecture
31

Afternoon on Scientific Machine Learning in Industry