Dieuwertje Alblas
Nicolo Bottheghi
Giacomo Cristinelli
Leonardo del Grande
Sven Dummer
Beerend Gerats
Tjeerd Jan Heeringa
Lucas Jansen Klomp
Nida Mir
Julian Suk
Hannah van Susteren
Elina Thibeau - Sutre
Elina Thibeau - Sutre
Weihao Yan
Dongwei Ye

PhD Projects

Ongoing PhD / PostDoc Projects


4TU. Precision Medicine
Phd:  Deep Learning for Medical Image Analysis


PhD - Julian Suk

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


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


PhD - Weihao Yan 

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



PhD - Hannah van Susteren 




Analysis of Geometric Machine Learning Methods


PhD Johanna Tengler to start 01-09-2024




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



PhD - Leonardo del Grande 






 Mathematical shape analysis


PhD - Giacomo Cristinelli




Novel geometric deep learning methods for medical image analysis


PhD - Dieuwertje Alblas 




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

PhD - Sven Dummer




Startergrant

PhD - Floor van der Maarschalkerwaart to start 01-09-2024


 VASCUL-AID (Horizon Europe)
Novel geometric deep learning methods for patient-specific risk assessment and progression of cardiovascular diseases based on multimodal imaging techniques



PhD - Patryk Rygiel 

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Fast MRI in prostate cancer


PhD - Nida Mir




LTP ROBUST KICH3.LTP.20.006
LAB “HealthyAI” Siemens Healthineers project
Model-Driven Artificial Intelligence in Medical Image Analysis



PhD: Mei Vaish



How Many Trajectories do we Need to Describe a Dynamics (CURVE ENSAMBLE)


PhD Christian Amend to start 01-10-2024



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-


PhD - Lucas Jansen Klomp 






Physics-Informed Machine Learning -

Bayesian learning of latent dynamics in computational physics


Postdoc: Dongwei Ye




Physics-Informed Machine Learning -

Scalable & Provable Correct Manifold Learning of Latent Dynamics


PhD - Tjeerd Jan Heeringa




Scene Understanding in Operating Room Videos


PhD - Beerend Gerats




The title to be announced


Postdoc: Len Spek


Finished Ph.D. Projects:

FINISHED PostDoc PROJECTS: