Machine Learning, Robotics and Neuroscience to Boost Translational Medicine

Prof. Giuseppe Lisi, Università di Nagoya (Giappone)

Multidisciplinary research in the fields of machine learning, robotics and neuroscience has produced valuable tools for medical doctors to make informed diagnoses, monitor patients during treatment, or develop novel therapeutic and training strategies. In my talk, I will introduce the research I have been conducting at ATR (Kyoto, Japan) towards this direction. In the first part of the talk I will present our latest efforts in the field of brain robot interfaces for motor rehabilitation. In the second part, I will describe our work about neural biomarkers of psychiatric disorders using functional magnetic resonance imaging (fMRI) and machine learning. I will conclude by highlighting the importance of developing safe, robust and interpretable machine learning, especially for medical applications.


Short Bio.:
Giuseppe Lisi received a Bachelor’s Degree in Computer Science Engineering in 2008, and a Master’s Degree in Artificial Intelligence and Robotics in 2010, both from Politecnico di Milano (Italy). From 2010 to 2011, he worked at NTT Communication Science Labs (Kyoto, Japan). From 2012 to 2014, he was a Ph.D. student at Advanced Telecommunications Research Institute International (ATR, Kyoto, Japan) and Nara Institute of Science and Technology (Nara, Japan). He later worked at ATR as a Research Scientist until October 2018. Currently, he is Specially Appointed Associate Professor at Nagoya Institute of Technology and Visiting Researcher at ATR. His research interests include machine learning, robotics and neuroscience.

Data / Ora
Date(s) - 25/01/2019
15:00 - 16:00

Stefano Zanero

PT1 Room (Building 20, ground floor), via Ponzio 34/5, Milano