Statistical signal processing and machine learning

• Image rendering via neural radiance fields
  
• Satellite image compression
  
• Deep learning for video compression
  
• Deep learning for image analysis
  
• A neural based comparative analysis for feature extraction from ECG signals
  
• Advanced machine learning for factory optimization
  
• Augmented neural networks
  
• Battery ageing estimation with artificial intelligence
  
• Biomedical signal and image processing and classification
  
• Compressed sensing for privacy-preserving data processing
  
• Deep learning for image restoration
  
• Deep learning for prediction of geomagnetic events
  
• Deep neural networks
  
• Design optimization of high-speed links via machine learning
  
• Embedded systems: Circuits, systems and algorithms for low-power signal processing in IoT nodes implementation
  
• Generative deep learning models
  
• GNSS for environmental and atmospheric monitoring
  
• GNSS positioning security
  
• Hardware-accelerated machine learning for human localization, identification and behavior inference
  
• Human motion analysis
  
• Intruder recognition using ECG signal
  
• IoT technologies for tailored and predictive in-vehicle experience
  
• Medical software
  
• Multimedia forensics
  
• Neuroengineering
  
• Non-invasive monitoring of the volemic status of patients
  
• Nonlinear biomedical signal processing
  
• Nonstationary signal processing
  
• Nonstationary topological learning: the G-EXIN neural network
  
• Optimal non-uniform down-sampling
  
• PulsEcg - cuffless arterial blood pressure measurement device
  
• Risk stratification in Brugada syndrome through AI-enhanced electrocardiograms
  
• Secure authentication based on deep learning
  
• Signal processing in the encrypted domain
  
• System identification via machine learning
  
• The Growing Curvilinear Component Analysis (GCCA) Neural Network
  
• ULVE: Ulcer verification
  
• Vehicular traffic monitoring
  
• VLSI architectures for machine learning