MSc thesis project proposals
[2025] A power management unit for inductive wireless power transfer
Design of a power management unit for wireless power transfer in implantable brain-computer interfaces.
[2025] A Hardware-Efficient Framework for DNN-Based Neural Spike Classification
Design of a digital accelerator for DNN-based spike classification in neural recordings from the cerebellum.
[2025] SAR ADC-Based Time-Domain Feature Extraction for Implantable Neural Interfaces
Design of a SAR ADC for mixed-signal feature extraction for a closed-loop neuromodulation implant.
[2025] A Rail-to-Rail EDO-Tolerant TDM Neural Recording Front-End for Large-Scale Implantable Brain-Computer Interfaces
Design of a time-multiplexed analog front-end for large-scale neural interfaces.
[2025] Modelling and fabrication of PDMS-based Capacitive Micromachined Ultrasound Transducers (CMUTs)
[2025] Magneto-acoustic 4D holograms
[2025] High-Acoustic Transmissivity in Miniaturized Ultrasonic Phased Array Transducers
[2025] Reconfigurable Acoustic Systems via Electrowetting-on-Dielectric (EWOD) on PZT transducer
[2025] High Density Stretchable Signal Lines for Ultrasound-Based Brain Implants
[2025] Smart transparent electrode array for electroceuticals
In this project, we wish to take electroceuticals to the next level, by fabricating new, compact, flexible and transparent active neural interfaces.
[2025] Active neural interfaces for Bioelectronic Medicine (MSc project at Fraunhofer)
Project outside the university in collaboration with Fraunhofer Institute for Reliability and Microintegration in Berlin, Germany
[2025] Stochastic-resonance front-end for the acquisition of high-density cortical signals
This is a scientific technology project that is unique in its kind and therefore extremely well suited for MSc students that might be interested in doing a PhD project directly after their MSc studies.
Volumetric photoacoustic imaging of kidney
Photoacoustics (PA) is a rapidly developing imaging modality which provides information about the molecular composition of biological tissue. The photoacoustic signal is generated by so-called chromophores, such as biological molecules that absorb light, which can transform absorbed light into an ultrasound signal. The presence of certain types of chromophores can be a valuable marker indicating the condition of biological tissue. The accurate quantification of certain types of chromophores can improve clinical diagnosis. However, at each moment, only a limited area of human tissue can be exposed by a light (laser) which impedes volumetric analysis of present chromophores. The goal of this project is to quantify present chromophores in large organs, e. g. kidney, which are normally challenging to be fully imaged with PA.
[2025] Current driver circuit for power-efficient neural stimulation
[2025] High-Efficiency Maximum Power Point Tracking and Power Management for Optical Wireless Power Transfer Systems
This MSc thesis project addresses key challenges in optical wireless power transfer by designing and implementing advanced power sensing circuits, modeling DC-DC converters, and evaluating their performance under realistic conditions. The study will contribute to the development of next-generation optical energy harvesting systems, enabling their practical deployment in biomedical and IoT applications.
[2024] - Taken - 3D Printed Bioelectronics for Regenerative Medicine
[2024] - Taken - Wireless Stimulation of the Brain with Light
[2024] - Taken - Transparent Microelectrode Arrays for Neuron Recordings and Stimulation
[2024] - Taken - Organic Electrochemical Transistors for Wound Healing
[2024] - Taken - Conformable Microelectrode Arrays for Electrical Mapping of the Heart
Deciphering multispectral optical signals exposed on a capacitive CMOS platform
Interested in optical sensors, sensor electronics, and machine learning? This project combines these challenges to decipher multispectral optical stimuli from exposed on CMOS pixelated capacitive sensors.
Designing an implantable sensor to measure the eye pressure
This project is a collaboration between the Erasmus Medical Center, Ophtec BV, and TU Delft.The contact at Erasmus is Wishal Ramdas.
Capacitive CMOS platform to monitor multispectral optical signals
Interested in MEMS, optical sensors, sensor electronics and hands-on experiments? This project combines these challenges to develop novel sensors to monitor multispectral light signals in real-time.
Development of a fully coupled FEA-based transducer model
The recently established Modeling and Simulation Department at Sonion has a young and rapidly growing team with the goal to model and design innovative products for the hearing aid and pro-audio industry, such as miniaturized loudspeakers and other transducers used also in many modern consumer electronics products like smart phones, ear buds, tablets. In case of hearing aids, transducers are the main active components, and their behavior is crucial for the hearing aid performance. Therefore, a good dynamic model able to predict the behavior of the transducer under different conditions is required in order to test new designs, optimize the sound quality and reduce the product size.
Development of a MEMS microphone lumped element model
The recently established Modeling and Simulation Department at Sonion has a young and rapidly growing team with the goal to model and design innovative products for the hearing aid and pro-audio industry, such as miniaturized loudspeakers and other transducers used also in many modern consumer electronics products like smart phones, ear buds, tablets. In case of hearing aids, transducers are the main active components, and their behavior is crucial for the hearing aid performance. Therefore, a good dynamic model able to predict the behavior of the transducer under different conditions is required in order to test new designs, optimize the sound quality and reduce the product size.
Nonlinear material models for transducer membranes
The recently established Modeling and Simulation Department at Sonion has a young and rapidly growing team with the goal to model and design innovative products for the hearing aid and pro-audio industry, such as miniaturized loudspeakers and other transducers used also in many modern consumer electronics products like smart phones, ear buds, tablets. In case of hearing aids, transducers are the main active components, and their behavior is crucial for the hearing aid performance. Therefore, a good dynamic model able to predict the behavior of the transducer under different conditions is required in order to test new designs, optimize the sound quality and reduce the product size.
[2023] Patch clamp experiments on activation behavior of cortical neurons to electrical stimulation
CMOS-based Hall sensor without offset
The aim of this project is to develop a CMOS based Hall sensor without offset.
Ex-Situ Heart Perfusion (ESHP) sensor
The aim of this project is to develop an optical sensor to monitor the quality of heart cells during transplantations or during surgery. The rate of success of cardiac transplants largely depends on the amount of damage to the heart cells (myocardial ischemia). The use of ESPH (Ex-Situ Heart Perfusion) during transport, or while waiting for transplantation, enables the in-line monitoring of the quality of the donor heart muscle cells. Measuring the heart cell metabolism in strategic places, using several miniature sensors, would be of great value for more successful cardiac transplants.
Conditioning Navier-Stokes based velocity field regularization with sparse high-fidelity data
Vector flow imaging (VFI), a relatively recent development in diagnostic ultrasound research, describes a group of flow imaging methods that quantify both the magnitude and angle of the blood velocity vectors in the organ of interest (e.g. the heart). This is in contrast to traditional Doppler ultrasound which only estimates the velocity component on the axis towards the transducer.
A biodegradable hernia post-operative monitoring implant
The aim is to develop methods to make biodegradable sensors for implants
A biodegradable device for measuring tissue vitality in internal wounds healing
The aim is to develop biodegradable sensors for tissue viability measurement.
Detection of prostate cancer in urine
Prostate cancer is a major problem for men over the age of 55. Early diagnostic is extremely important. Present techniques are expensive and/or cause great discomfort. This project, in collaboration with The Hague University of Applied Science and Erasmus Medical Centre, aims to address these issues.
Self-test for IR Sensors
In many applications, the lens and packaging of IR sensors can become contaminated leading to measurement error and apparent failure. A self-test built into the package could solve this problem. This project concerns the development of a self-test system which can compensate for minor contamination and produce a warning for higher contamination levels.
Hernia post-operative monitoring
Incisional hernia (IH) is a complication which can occur after surgery to the abdomen. In order to prevent IH, a mesh can be used. This holds the tissue in place to reinforce it and to enable healing. However, in some cases the healing does not take place correctly and IH is not prevented. In order to monitor healing, scans or ultrasonography can be used, but these diagnostic tools are expensive and time consuming. The aim of this project is to create a “bionic” mesh which can detect the early stages of IH formation with a device attached to the tissue around the wound.