Manfredo Atzori is Associate Professor at the Department of Neuroscience of the University of Padova.

He received a M.Sc. in Physics and a Ph.D. in Bioengineering in 2006 and 2009 at the University of Padova.
He is Associate Professor at the Department of Neuroscience of the University of Padova. He has been research scientist at the Institute of Information Systems of the University of Applied Sciences Western Switzerland (HES-SO Valais) since 2011.
His research interests are related to the development of machine learning techniques targeting multimodal data analysis, particularly in the biomedical domain.
Since 2019 he is the Scientific Coordinator of the Horizon 2020 project ExaMode, involving seven international partners and targeting weakly-supervised knowledge discovery from multimodal medical data, such as text and images, in the context of digital pathology (htttp://www.examode.eu/).
Since 2011 he collected and has managed Ninapro, a publicly available database aiming at improving the control of robotic hand prostheses with machine learning and data fusion, currently having several thousand users worldwide (http://ninapro.hevs.ch/).
He has been the coordinator of the Hasler Fundation financed ProHand project, targeting the development of 3D printed robotic prosthetic hands controlled via machine learning approaches.
Between 2016 and 2019, Dr. Atzori had a leading role in the MeganePro Project, involving three international partners. The project was aimed at improving robotic prosthesis control with eye-hand coordination and at better understanding the neurocognitive effects of amputations. Multimodal data were released in the context of the project, including electromyography, intertial, gaze tracking, visual, behavioral and clinical data for prosthetics and phantom limb sensation analyses.
Since 2015 he has worked on the development of computer aided diagnostic systems for cancer in byopsies using computer vision techniques such as convolutional neural networks.
In 2015, Dr. Atzori was among the first researchers worldwide in developing convolutional neural networks for surface electromyography data analysis.
Dr. Atzori is author of over 80 peer reviewed scientific publications with over 2’000 citations and he presented his work, also as invited speaker, at several international conferences.
He is member of the editorial board of Scientific Data (Nature Publishing Group).
Finally, Dr. Atzori has strong experience in developing scientific projects in collaboration with academic research groups and companies.