We supervise many master's projects and practical bachelor assignments. Note that if there are no available assignments or none to your liking, you can always drop by one of the staff members to discuss your interests and the possibilities. We have more assignments related to the Smart Grid or Dependable Computing Systems.
You have to fill in the registration form at the start of your project.
- AssignmentProgramRemarks
LLM-assisted RTL generation for a pretrained deep neural network
Optmizing Person Detecton with Neuromorphic Vision Sensors
Deriving Run-time Monitors from Deductive Verication in RTOS-based Applications
A Comparative Study of Co-Kernel and Co-Processor based Solutions for High-Performance Real-Time Applications
Resilient Scheduling through Performance Counter Monitoring on RISC-V under Soft-Errors
From ARCnet to Ethernet: A Middleware Approach for Interoperability in Legacy Industrial Networks
Reusable Transformer Blocks Synthesis for FPGA Platforms
Model Partitioning and Deployment on FPGA Platforms - Latency Improvement
Scalable Correlator Architecture for Energy-efficient Radio Astronomy Processing
Energy-efficient deep learning architecture for anomaly detecton from ECG signals
Multiple master thesis assignments in the domain of Embedded AI and neuromorphic processing
Image Analysis for Quality Assurance in Seeding Patterns
DESIGN SPACE EXPLORATION OF DEEP LEARNING ALGORITHMS FOR ENERGY EFFICIENT APPROXIMATE ARCHITECTURES
RELIABLE CROSS-LAYER APPROXIMATIONS IN DEEP LEARNING
Software Reliability from Machine Code
Comparative Analysis of Multi‑Sensor Integration in the SENSE-Rai Framework Using Different Data Distribution Service Integrations
Interfacing Energy Management Systems with Real-Time hardware-in-the-loop (HIL) Simulations
Decentralized Energy Management Algorithms made to fail
Using railway traction lines to combat grid congestion
Impact of electricity prices on Dutch power grid
Digital Twin of our campus’ electricity grid
Fault Injection, how big can we go?
System Reliability with Formal Methods
Exploring Bloom Filters as Fault Detectors for Static Memory Content in Machine Learning Systems
Selective sweep localization through object detection
GPU colocation for energy
Building a Multi-Kernel GPU Frequency Predictor