Full Professor at Dipartimento di Elettronica Informazione e Bioingegneria of Politecnico di Milano, Italy. In 1999 he got a Laurea degree in Computer Engineering at Politecnico di Milano, in 2002 he got a Master of Science in Knowledge Discovery and Data Mining at Carnegie Mellon University (Pittsburgh, PA), and in 2003 he got a Ph.D. in Computer Engineering and Automation at Politecnico di Milano (Milan, Italy). His main research topics are pattern recognition, machine learning, machine perception, robotics, computer vision, and signal processing. His main research interest is in developing, evaluating, and applying, in a practical way, techniques for adaptation and learning to autonomous systems interacting with the physical world. He has co-authored more than 150 scientific international publications and he has been the principal investigator in national and international funded research projects on machine learning, autonomous robots, sensor fusion, and benchmarking of autonomous and intelligent systems.
Short Biography
Full Professor at Dipartimento di Elettronica Informazione e Bioingegneria of Politecnico di Milano, Italy. In 1999 he got a Laurea degree in Computer Engineering at Politecnico di Milano, in 2002 he got a Master of Science in Knowledge Discovery and Data Mining at Carnegie Mellon University (Pittsburgh, PA), and in 2003 he got a Ph.D. in Computer Engineering and Automation at Politecnico di Milano (Milan, Italy). His main research topics are pattern recognition, machine learning, machine perception, robotics, computer vision, and signal processing. His main research interest is in developing, evaluating, and applying, in a practical way, techniques for adaptation and learning to autonomous systems interacting with the physical world. He has co-authored more than 150 scientific international publications and he has been the principal investigator in national and international funded research projects on machine learning, autonomous robots, sensor fusion, and benchmarking of autonomous and intelligent systems.
Advance your academic career, collaborate globally, and expand your network—
join now
!
Well done!
