MSc thesis projects - Biomedical signal processing/wavefield imaging
Thesis topics at CWI
Center for Mathematics and Computer Science, Amsterdam
Prostate cancer detection via contrast-enhanced ultrasound: modelling micro-bubble recirculation
Decoding Emotions: Advanced Analysis of Vocal Expressions in Children With Hearing Impairment
Detecting differences in vocal emotions of Children with and without hearing impairments. This project is a collaboration between TUDelft - SPS and Sophia Children’s Hospital at EMC Rotterdam.
Analysis of electrophysiologic data acquired on PhysioHeartTM platform (ex-vivo beating heart)
Development of automated and (semi) live analysis of electrophysiologic data acquired from an isolated ex-vivo beating porcine heart.
Nonlinear identification of the hemodynamic response in functional ultrasound
The goal of this thesis is use Volterra kernels to investigate the nonlinear characteristics of the functional ultrasound signal measure in the brain in response to external stimuli; and their dependence on the stimulus.
Audio processing in wireless earbuds (Several assignments with the company Dopple)
What can you do with an in-ear computer, 8 microphones, a motion sensor, and multiple wireless links?
Spectral Noise Estimation for Hearing Aids
Absolute Audio Labs BV (AAL) is an internationally recognised innovation leader in the field of advanced hearing, voice and safe listening embedded software applications. Most AAL applications are dependent on reliable noise estimation as the first step in the audio chain. In this assignment, the task is to develop an improved noise PSD estimator.
In ear (with hearing aid) based Biomedical Signal Processing
Over the last years, Sonion has developed an offering to measure Biomedical signals in the ear based on PPG technology. The goal of this project is to advance this technology in order extract information on the users' physiological condition.
Generalized signal models in MRI
Electrical Properties Tomography - Theory and Validation
Nonlinear Model Order Reduction Methods for Inverse Scattering Problems
Domain Integral Equation Preconditioning in Electromagnetics for Elongated Structures
Active Noise Reduction for MRIs
Patients who undergo MRI scanning or are treated with radiotherapy on a MRLinac in a mask suffer from acoustic noise produced by the MR scanner. The aim is to reduce acoustic noise burden to the patient.
Optimizing the analysis of auditory event-related potentials in EEG (with Erasmus Medical Center)
In this project we intend to predict variation in neurodevelopment from auditory event-related potentials (ERPs) measured with EEG. This project is a collaboration between TUDelft - CAS and Sophia Children’s Hospital at EMC Rotterdam.
Contactless determination of vital parameters for improved healthcare (with Intelliprove)
The aim of the project is to extract vital parameters such as heart rate from video, based on the principles of remote photopletysmography (rPPG) using signal processing techniques.
Heart rate extraction from speech signals
Assessment of patient’s therapy response based on smartphone data
Clinical trials are moving from the clinic towards inclusion of real-world data and measurements. This allows to study the effect of medication in a more continuous manner and also monitor objective aspects that were previously evaluated by structured interviews. To allow these measurements, the Centre for Human Drug Research (CHDR) has developed a platform that allows for home monitoring of the effect of medication. In this project, a close collaboration with the CHDR is foreseen, where algorithms will be developed to improve the current platform.
Cell-to-sensor distance estimation for epicardiac measurements
Develop improved data models for better understanding the principles underlying Atrial Fibrillation
Improving signal quality of a wearable device for electrocardiogram (ECG) measurement
(At PraxaSense) Motion artefact removal for a 2-electrode ECG
Dynamic brain network analysis
Cardiac Arrhythmia Data Analysis (several projects)
Atrial fibrillation is the most common cardiac arrhythmia. The mechanisms are poorly understood. Using high-resolution multichannel data sets, we try to derive data models and indicators.

MSc students
- Milla Rahmadiva
- Christos Spiliadis
- Lieke Roelofs
- Yash Mirwani
- Annefleur Kluft
- Femke Leenen
- Cheremy Pongajow
- Jory Edelman
- Georgios Hadjigeorgiou
Alumni
- Marien Verseput (2023)
- Wenxin Pan (2023)
- Elena van Breukelen (2023)
- Chengyan Wang (2023)
- Kenneth Stunnenberg (2023)
- Anjali Suresan (2023)
- Lexi Zhu (2023)
- Francesca De Carlo (2023)
- Shuoyan Zhao (2023)
- Alan Hamo (2023)
- Teodor Licurici (2023)
- Xuan Gao (2023)
- Koen Rodewijk (2023)
- Celine Schaus (2022)
- Pierre-Antoine Denarié (2022)
- Corne Haasjes (2022)
- Zhuangzhuang Yu (2022)
- Ilja Venema (2022)
- Xiaoning Shi (2022)
- Cesar Eduardo Cornejo Ramirez (2022)
- Yitong Tao (2022)
- William Hunter (2022)
- Nan Lin (2022)
- Janine Hendriks (2022)
- Cees Kos (2022)
- Ruben Wijnands (2022)
- Jordi de Vries (2022)
- Aggariyo Wanagiri (2022)
- Aleid Bekkering (2022)
- Tijs Moree (2022)
- Pallas Koers (2022)
- Michiel Van Hoeven (2022)
- Arthur Kordes (2021)
- Arda Kaygan (2021)
- Gaia Zin (2021)
- Jeroen Roest (2021)
- Eris van Twist (2021)
- Sarthak Agarwal (2021)
- Karen van der Werff (2021)
- Yingfeng Jiang (2021)
- Preetha Vijayan (2021)
- Maarten Enthoven (2021)
- Bas Liesker (2021)
- Leonie Pereboom (2021)
- Javier Guinea Perez (2021)
- Prernna Bhatnagar (2020)
- Kriti Dhingra (2020)
- Yuchen Yin (2020)
- Sonnya Dellarosa (2020)
- Alejandro Monreal (2020)
- Maria Macarulla Rodriguez (2020)
- Manojna Vedula (2020)
- Joris Belier (2019)
- Mandani (Mado) Ntekouli (2019)
- Rajesh Rajwade (2019)
- Bart Kölling (2019)
- Chenhong Ji (2019)
- Sherine Brahma (2019)
- Xin An (2019)
- Bram Visser (2019)
- Pranav Prakash (2019)
- Yiting Lu (2019)
- Bart de Vos (2019)
- Juriaan Van der Graaf (2019)
- Bastian Generowicz (2019)
- Zheheng Liu (2019)
- Yuyang Wang (2018)
- Jack Tchimino (2018)
- Feng Ma (2018)
- Lars Rehbein (2018)
- Haidong Hao (2018)
- Dirk Schut (2018)
- Makrina Sekeri (2018)
- Xuyang Li (2017)
- Jelimo Maswan (2017)
- Jiying Dai (2017)
- Peter Stijnman (2017)