Theses for M.S. degree are available about the following research areas:
Sound analysis and classification in construction sites
Robust and communication-efficient Federated Learning from non-i.i.d. data
Biomedical data classification (ECG, EEG, RX, CT)
Low-complexity neural networks
Change detection algorithms in Fog Computing scenarios
Audio sources localization with 3D micro-arrays
Audio source separation by monaural tracks
Nonlinear adaptive filtering