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



Phd:  Deep Learning for Medical Image Analysis


PhD - Julian Suk

Postdoc 1: Elina Thibeau -Sutre
till 14-01-2024

MCS
-MIA



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


- Kaifang Liu 

MCS
-MACS


CSC (China Scholarship Council)
High Order Numerical Methods for Phase Transition Problems

 
- Xiangyi Meng

MCS
-MACS


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


- Weihao Yan 

MCS- 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 


MCS-MIA & TNW-CNPH




Control in infinite-dimensional systems theory


- Philip Preußler


MCS-MAST



Continuum Analysis of Geometric Machine Learning Methods


Johanna Tengler 


MCS-MIA



Deep Learning of PDEs and Inverse Problems via Optimal Transport


 Floor van Maarschalkerwaart 


MCS-MIA



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



- Leonardo del Grande 


MCS-MIA





 Mathematical shape analysis


- Giacomo Cristinelli


MCS-MIA




Novel geometric deep learning methods for medical image analysis


- Dieuwertje Alblas 


MCS-MIA





EEMCS theme team proposal: "PACOF: Predictive Avatar Control and Feedback" (Douwe Dresscher (EE), Gwenn Englebienne (CS), Felix Schwenninger (M))
- WP3: Proactive mathematical control in telemanipulation

- Alexander Wierzba


MCS-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



MCS-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




- Hyunjong Lee 


- Noortje van Goor



MCS-3MS



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




- Phillipo Testa 


MCS-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 

MCS-MIA

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Fast MRI in prostate cancer


- Nida Mir


MCS-MIA/

TNW-MD&




Computational Sciences for Energy Research (15CSER049)

Port-Hamiltonian Discontinuous Galerkin Methods for seismic wave computations

PhD defence
20 December 2024
10:45  Hrs.

- Nishant Kumar


MCS- MACS





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


- Lars Corbijn van Willenswaard


MCS- 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 


MCS- MACS



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

 


- Juan S. Burbano Gallegos

MCS-MACS



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

PhD - Christian Amend 


MCS-MIA



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


vacancy

Deadline for application 24-11-2024

MCS-MAST



Low-rank tensor product approximations for the radiative transfer equation (OCENW.KLEIN.183) - `

High-frequency electromagnetic radiation


- Riccardo Bardin


MCS- MACS





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


MCS-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  


MCS- MACS




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

- Jens de Vries


MCS-MAST




Self-Assembled Icosahedral Photonic Quasicrystals with a Band Gap for Visible Light (ENW Groot) -

Electromagnetic wave simulations of self-assembled finite size photonic quasicrystals


- Elena Giammatteo 


MCS- MACS




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 




MCS-MIA & TNW -DBE



NWO- Mathematics Clusters – Ph.D. positions 2019;
NWO - OCENW.KLEIN.183"
Structure-preserving sparse discretizations of the radiative transfer equation with polarization


- Vincent Bosboom

MCS- MACS




Model Reduction on Manifolds


- Hongliang Mu


MCS-MAST



Differential geometric framework for model order reduction

- Postdoc: Patrick Buchfink

MCS-MAST



Physics-Informed Machine Learning -

Bayesian learning of latent dynamics in computational physics


- Postdoc: Dongwei Ye


MCS-MIA




Physics-Informed Machine Learning -

Scalable & Provable Correct Manifold Learning of Latent Dynamics


- Tjeerd Jan Heeringa


MCS-MIA


Risk of rupture of intracranial aneurysms -
a data-driven simulation approach


- Viktoriia Bezugla

MCS-3MS



Scene Understanding in Operating Room Videos


- Beerend Gerats


MCS-MIA



Towards spin battery devices in topological insulator materials


- Stijn de Wit

MCS -3MS
& ICE/QTM AP



The title to be announced


- postdoc: Len Spek


MCS-MIA


Finished Ph.D. Projects:

FINISHED PostDoc/research fellow PROJECTS:

ENDED PH.D. PROJECTS: