• 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‚Ķ)
  • 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