معرفی
Attilio Fiandrotti is an Associate Professor at the University of Turin, specializing in Computer Science. His academic journey began at Politecnico di Torino, where he earned both his M.Sc. and PhD in Computer Science in 2005 and 2010, respectively.
His research spans Video Coding and Video Streaming over Wireless Networks, with a focus on Peer-to-Peer Distribution enhanced by Network Coding. He also contributes to Image Analysis using traditional and deep machine learning techniques, particularly in Lung Nodules Segmentation and Colorectal Polyps Classification.
Fiandrotti's work intersects Computer Science and Medical Imaging, addressing challenges in Neural Network Compression and Structured Sparsity. Notable contributions include the UniToChest and UniToPatho datasets, which support research in lung cancer detection and histopathological analysis.
He has developed innovative methods like Entropy-based Pruning for transfer learning under resource constraints and the Serene framework for sensitivity-driven neural network regularization. His technical expertise extends to Hardware Architectures and Deep Learning applications in healthcare and signal processing.
