Dieuwertje Alblas - MIA
Christian Amend - MIA
Riccardo Bardin - MACS
Vincent Bosboom - MACS
Giacomo Cristinelli - MIA
Sven Dummer - MIA
Elena Giamatteo - MACS
Leonardo del Grande - MIA
source: http://www.malinc.se/math/trigonometry/geocentrismen.php - Heeringa - MIA
Lucas Jansen Klomp - MIA
Muhammad Hamza Khalid - MACS
Nishant Kumar - MACS
Kaifang Liu - MACS
Xiangyi Meng - MACS
Floor van Maarschalkerwaart - MIA
Nida Mir - MIA / MDI-TNW
Hongliang Mu - MAST
Kevin Redosado - 3MS
Julian Suk - MIA
Hannah van Susteren - MIA
Johanna Tengler - MIA
Mei Vaish - MIA
Jens de Vries - MAST
Weihao Yan - MIA
Alexander Wierzba - MAST
Fengna Yan - MACS

PhD Projects

Ongoing PhD / PostDoc Projects


CSC (China Scholarship Council)
Error Analysis of Discontinuous Galerkin Finite Element. Discretizations of the Time-Harmonic Maxwell Equations with Minimal Smoothness Requirements


- Kaifang Liu 

MAGNUS-MACS


CSC (China Scholarship Council)
Physics-Informed Machine Learning for the Sensor Data Integration into Digital Twins


- Weihao Yan 

Thesis defense on

29 September 2025
12:45 Hrs @ Waaier

Weihao Yan

MAGNUS- MIA

https://gepris.dfg.de/gepris/images/dfg_logo.gif



RU2795  Synapsen unter Stress: akute Veränderungen durch mangelnde Energiezufuhr an glutamatergen Synapsen
 - The tripartite synapse during metabolic stress



- Hannah van Susteren 


MAGNUS-MIA & TNW-CNPH




Control in infinite-dimensional systems theory


- Philip Preußler


MAGNUS-MAST



Continuum Analysis of Geometric Machine Learning Methods


Johanna Tengler 


MAGNUS-MIA



Deep Learning of PDEs and Inverse Problems via Optimal Transport


 Floor van Maarschalkerwaart 


MAGNUS-MIA



Infinite-dimensional optimization for theoretical machine learning:
SPOT: Sparsity Promoting Optimal Transport regularization for superresolution and data-driven models



- Leonardo del Grande 


MAGNUS-MIA





 Mathematical shape analysis


- Giacomo Cristinelli


MAGNUS-MIA




Novel geometric deep learning methods for medical image analysis


- Dieuwertje Alblas 

Thesis defense

29 October 2025

@ Waaier

Dieuwertje Alblas


MAGNUS-MIA



EEMCS theme team proposal: "Physics-preserving model-order reduction for fluid-mechanical systems using real-world data" (Federico Califano (EE), Nicola Strisciuglio (CS), Silke Glas (M))

- Michel Nikken

MAGNUS-MAST



EEMCS theme team proposal: "SEARCH: Searching the perfect one"

(L.Segerink (EE), C. Brune (M), Ni.Strisciuglio (CS))

 -  WP2: Deep manifold learning of cell morphology and motion

- Sven Dummer

Thesis defence

25 March 2026 

14:45 Hrs @ Waaier

Sven Dummer



MAGNUS-MIA



EIC Pathfinder Open - 2021 call -

‘THERMODUST: A paradigm shift for the future’s thermal management devices through radical innovation in new materials and additive manufacturing

"Thermodust: Computational modeling of thermal properties of 2D-metal composite materials"


- Hyunjong Lee 


- Noortje van Goor

MAGNUS-3MS



HORIZON-MSCA  ModConFlex (Modelling and control of flexible structures interacting with fluids) 
WP 3: Analysis and Control of nD flexible systems.




- Phillipo Testa 


MAGNUS-MAST



 VASCUL-AID (Horizon Europe)

WP 3 & 4: Novel geometric deep learning methods for patient-specific risk assessment and progression of cardiovascular diseases based on multimodal imaging techniques




- Patryk Rygiel 

MAGNUS-MIA

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Fast MRI in prostate cancer


- Nida Mir


MAGNUS-MIA/

TNW-MD&





(CSER.JCER.037)
Accurate and efficient computation of the optical properties of Nanostructures for improved Photovoltaics


- Lars Corbijn van Willenswaard


MAGNUS- MACS




DeepNL - Comprehensive monitoring and prediction of seismicity within the Groningen gas field using large scale field observations 
WP2: Model Order reduction for seismic imaging


- M. Hamza Khalid 


MAGNUS- MACS



Density interpolation methods for the fast and high-order evaluation of volume potentials in complex geometries (NWO - M programme)

 


- Juan S. Burbano Gallegos

MAGNUS-MACS



How Many Trajectories do we Need to Describe a Dynamics -CURVE ENSEMBLE

- Christian Amend 


MAGNUS-MIA



Little things make big things happen: Model reduction on manifolds of port-Hamiltonian systems (NWO - M programme)


- Benjamin Minogue

MAGNUS-MAST




LTP ROBUST KICH3.LTP.20.006 LAB “HealthyAI” Siemens Healthineers project:  Model-Driven Artificial Intelligence in Medical Image Analysis - Generalisation and Robustness of Deep Learning Methods by Exploiting Structural Priors

- Mei Vaish


MAGNUS-MIA



NWO AES -  18052 Nanofiller-enhanced wax for heat storage (Wax+)

Modeling and Simulation of Novel Phase Change Material to improve Thermal Responsiveness


- Kevin Redosado  


MAGNUS- MACS & MCS -3MS




 NWO Open Competition Science 13592
Optimal constants as analytic benchmarks (OCAB)

- Jens de Vries

Thesis defense

15 December 2025

14:45 Hrs @ Waaier

Jens de Vries

MAGNUS-MAST




Single Cell Microgel embedded iPS-cells to map molecular variability of cell differentiation using a systems biology approach (SCI-MAP) (ENW Groot) -

Computational Systems Biology-


- Lucas Jansen Klomp 




MAGNUS-MIA & TNW -DBE


University of Twente, NWO via the TKI programme High Tech Systems and Materials) and by Malvern Panalytical

X-ray metrology for academia and industry - DART




- Niek Lokhorst


MAGNUS-MACS & T&S-XUV




Model Reduction on Manifolds


- Hongliang Mu


MAGNUS-MAST




Physics-Informed Machine Learning -

Scalable & Provable Correct Manifold Learning of Latent Dynamics


- Tjeerd Jan Heeringa


MAGNUS-MIA




Scene Understanding in Operating Room Videos


- Beerend Gerats


MAGNUS-MIA



Towards spin battery devices in topological insulator materials


- Stijn de Wit

MAGNUS-3MS
& ICE/QTM AP



t.b.a.

- Linda ten Klooster

MAGNUS-MIA


Finished Ph.D. Projects:

FINISHED PostDoc/research fellow PROJECTS:

ENDED PH.D. PROJECTS: