THESIS OPPORTUNITIES:
- Algorithms for hyperspectral medical image analysis and classification (i.e. cancer diagnosis and detection)
- High performance computing approaches for computationally intensive image processing
- Analysis of images of the retina for automatic grading of ocular pathologies (i.e. diabetic macular oedema, glaucoma…)
- Embedded AI: optimization of deep learning algorithms for embedded applications
- Design of parallel algorithms and architectures (GPUs, FPGAs, clusters, cloud computing solutions) for computationally intensive applications
- Data and signal acquisition and processing for biomedical instrumentation
- Design and development of microprocessors and microcontrollers solutions for real-time systems
- Advanced cryptography algorithms on configurable devices
- Data fusion algorithms from wearable multisensors