Below you can find a list of exemplary theses proposals. Please click into the title to find out more. To learn more about the context of these projects, we strongly encourage you to visit the pages of the supervising faculty members and their research groups linked from here.

Note that this list is continuously updated and that you are welcome to contact our faculty members with your own proposals. 

 

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Title

Hosting Group

Supervisor
A study of structural and functional connectivity in patients with treatment-resistant schizophrenia undergoing Deep Brain Stimulation surgery Brain Neuromodulation Computational Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Juan Aibar
[email protected]
Study of local field potentials in the subthalamic nucleus of patients with advanced Parkinson's disease implanted with Deep Brain Stimulation electrodes Brain Neuromodulation Computational Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Juan Aibar
[email protected]
An Imaging Study for Detecting the Optimal Target ("Sweetspot") in Essential Tremor (ET) Patients Treated with Magnetic Resonance-guided High-Intensity Focused Ultrasound Brain Neuromodulation Computational Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Juan Aibar
[email protected]
Advanced Deep Brain Stimulation programming based on surface and intracranial electrophysiological readings Brain Neuromodulation Computational Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Ignacio Aracil
[email protected]
Use of individualized neuroimaging for the analysis of the connectomic profile in Parkinson’s disease patients undergoing deep brain stimulation (DBS) Brain Neuromodulation Computational Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Ignacio Aracil
[email protected]
Idiopathic Generalized Epilepsy: Interictal EEG Connectivity as a Biomarker of Disease Severity and Cognitive Dysfunction Epilepsy and Neurophysiology Lab
Fundació Institut de Recerca Hospital de la Santa Creu i Sant Pau		 Alba Sierra-Marcos
[email protected]
Engineering biohybrid soft robots based on stem cell tissues Integrative Cell and Tissue Dynamics
Institute of Bioengineering of Catalonia (IBEC)		 Xavier Trepat
[email protected]
Development of an R Package for Shiny App Deployment in the Cloud Microbial Genomics Group (GEM)
IrsiCaixa (Institut de Recerca de la Sida)		 Francesc Català
[email protected]
Development of an R Package for Differential Abundance Testing in Microbiome Data Microbial Genomics Group (GEM)
IrsiCaixa (Institut de Recerca de la Sida)		 Francesc Català
[email protected]
Pathway-centric analysis of spatial transcriptomics data Functional Genomics Group
Dept. of Medicine and Life Sciences		 Robert Castelo
[email protected]
Splicing regulation during meiosis Oxidative Stress and Cell Cycle Research Group
Dept. of Medicine and Life Sciences		 Jose Ayte
[email protected]
Quantification and reconstruction of prototypic three-dimensional brain growth using a friendly digital interface (3D-BRAIN) Pujades lab
Dept. of Medicine and Life Sciences		 Cristina Pujades
[email protected]
Modelling dynamic molecular networks from advanced imaging data Gallego Laboratory
Dept. of Medicine and Life Sciences		 Oriol Gallego
[email protected]
Coupling AI with bio-based hardware: Natural language processing for accelerated directed evolution of gene editors and writers Translational Synthetic Biology Lab
Dept. of Medicine and Life Sciences		 Marc Güell
[email protected]
Detecting the time arrow in single-cell transcriptomics data Dynamical Systems Biology Lab
Dept. of Medicine and Life Sciences		 Jordi Garcia-Ojalvo
[email protected]
Molecular basis of cellular memory Dynamical Systems Biology Lab
Dept. of Medicine and Life Sciences		 Jordi Garcia-Ojalvo
[email protected]
Machine learning to predict prognosis of portal vein thrombosis from CT scans Simulation, Imaging and Modelling for Biomedical Systems
Dept. of Engineering		 Gemma Piella
[email protected]
Carbon footprint of catheter ablation versus anti-arrhythmic drug therapy in atrial fibrillation: a pilot ecological cost-effectiveness estimation Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Estimation of variability propagation in amyloid PET quantification Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
3D reconstruction of the left atria from multiple 2D images Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Meshless mechanical model to simulate brain development in normal and abnormal infants Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Augmented reality and mobile-based digitalization, processing, classification and visualization of electrocardiograms in a real-world clinical environment Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Virtual and augmented reality platform for left atrial appendage occlusion device implantation Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Fluid simulations of blood flow in the left atrial appendage in patient-specific geometries with different devices Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Development of user interface for a web platform for anatomical and electrophysiological cardiac data processing and visualization Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Computational models of brain development in infants with Intra-Uterine Growth Restriction Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Fluid dynamics study for left atrial thrombus prediction in heart transplant patients Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Classification of myocardial hypertrophy aetiologies with cine cardiac magnetic resonance imaging using machine learning Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
In-house deployment of coronary artery segmentation algorithms including post-processing, automated measurements, and connection with PACS Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Óscar Cámara
[email protected]
Personalised haemodynamic coagulation cascade-based model in the left atria Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Maria Segarra
[email protected]
Development of a growth model of the fetal cardiovascular system images Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Inma Villanueva
[email protected]
Understanding hemodynamic remodelling in intrauterine growth restriction: a computational modelling study Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Inma Villanueva
[email protected]
Hemodynamic changes of the fetal circulation in Twin-to-Twin Transfusion Syndrome: a computational modelling study Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Inma Villanueva
[email protected]
Uncertainty quantification in the computational modelling of the fetal cardiovascular system Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Inma Villanueva
[email protected]
Semantic segmentation of the ventricles in 3D echocardiographic images Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Gabriel Bernadino
[email protected]
Analysis of wave reflection in fetal circulatory system Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Gabriel Bernadino
[email protected]
Quantum machine learning for biomedical data analysis Simulation, Imaging and Modelling for Biomedical Systems
Dept. of Engineering		 Miguel A. González Ballester
[email protected]
PET left ventricular uptake quantification performance using a 3D semiautomatic anatomic – based segmentation approach in type 2 diabetes mellitus patients Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Miguel A. González Ballester
[email protected]
Design and implementation of light DNN architecture for organ segmentation on abdominal CT scans Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Miguel A. González Ballester
[email protected]
Sport Biomechanics: Impact of prior anterior cruciate ligament injury on inter-limb coordination of the lower extremities during bilateral strength exercises Nonlinear Time Series Analysis
Dept. of Engineering		 Simone Tassani
[email protected]
Non-linear Analysis of EMG Signals Nonlinear Time Series Analysis
Dept. of Engineering		 Simone Tassani
[email protected]
Sport Biomechanics: Impact of fatigue on movement synchronization Nonlinear Time Series Analysis
Dept. of Engineering		 Simone Tassani
[email protected]
Mapping intervertebral disc extracellular matrix degradation in terms of catabolic cells response using In-silico modelling Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Carlos Ruiz
[email protected]
Addressing the bone risk of fracture of the subject with osteoporosis throughout bone composition Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Carlos Ruiz
[email protected]
Functional enrichment of a literature-based regulatory network for axillary lymph node metastasis in breast cancer using graph embedding techniques Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Modelling metastatic dynamics in breast cancer: an agent-based approach with BioDynaMo Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Multiscale Response of Intervertebral Cells to the Nutritional Stimuli: Regulatory Network Based Modeling Approach Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Integrating data and modelling workflow for knee joint patient-specific simulations Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Metamodeling of the Intervertebral Disc (IVD) Mechano-Transport response to mechanical stimuli Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Body-wide modelling of immune cell circulation in the blood flow Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Population-based finite element modelling of the knee joint of patients suffering from osteoarthritis Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Building a multi-scale hybrid 3D computational model to explore the origins of Atherosclerosis Simulation, Imaging & Modelling for Biomedical Systems
Dept. of Engineering		 Jérôme Noailly
[email protected]
Finding epileptic brain areas by analyzing electroencephalographic recordings Nonlinear Time Series Analysis
Dept. of Engineering		 Ralph Gregor Andrzejak
[email protected]
Developing an Explainable AI model for predicting adverse events post-cardiac surgery in pediatric Congenital Heart Disease (CHD) patients Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Synchrotron X-PCI and SAXS/WAXS fibrosis characterisation Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Modeling Chronic Thromboembolic Pulmonary Hypertension Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Deep-learning-based quantification of M-Mode images Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Relating genotypic and phenotypic factors in hypertrophic patients using machine learning Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Comparison and validation of different implementations of ML-based analysis framework Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Optimising information fusion in Unsupervised Multiple Kernel Learning Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]
Improving the interpretability of a labour monitoring and decision-support user interface Sensing in Physiology and Biomedicine Research Group
Dept. of Engineering		 Bart Bijnens
[email protected]