Abstract

Deep learning has recently risen as the state-of-the-art for numerous applications in computer vision, audio processing, text analysis, etc. This talk aims to provide a first introduction to basic concepts of deep learning, and in particular of convolutional neural networks. Also, results and capabilities of deep convolutional neural networks are presented, with a specific focus on applications in biomedical signal processing including classification, segmentation, and signal reconstruction.

Short Bio

Francesco Renna received a Master's degree in telecommunications engineering and a PhD in information engineering from the University of Padua, Italy, in 2006 and 2011. Between 2007 and 2017, he was a visiting researcher and post-doc researcher at Infineon Technology AG, Princeton University , Georgia Institute of Technology (Lorraine Campus), Supélec, University of Porto, Duke University, University College London and University of Cambridge. Since 2017, he has been a postdoc researcher at the Telecommunications Institute and guest assistant professor in the Computer Science Department of the Faculty of Sciences of the University of Porto. Francesco Renna's research interests are focused on the processing of large data information and the processing of biomedical signals.

About Talks@DCC 

The mission of the Talks@DCC seminars is to bring together researchers and students, to foster discussions and promote scientific awareness and collaboration.

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