Brief Curriculum Vitae of N. Alberto Borghese
- 2015-Full Professor of Computer Science (group INF01), University of Milano, Department of Computer Science. Head of AIS-Lab: Laboratory
of Applied Intelligent Systems.
- 2001- Associate Professor of Computer Science (group INF01), University
of Milano, Department of Computer Science. Head of AIS-Lab: Laboratory
of Applied Intelligent Systems.
- 1988-2001 Researcher (III level) at Institute of Neuroscience and Bioimaging,
National Reasearch Council (tenure position).
- 1987 1988 Research fellow of Institute of Neuroscience and Bioimaging, National
- 2000 - Visiting Researcher at the Department of Motion Capture of Electronic
Arts, Vancouver, Canada (with a project on the realization of algorithms and
software for motion capture thorugh passive markers acquisition systems).
- 1992 Visiting Scientist at the Department of Electrical Engineering, Californian
Institute of Technology, Pasadena, USA (with a project on self-calibration
of artificial vision systems).
- 1991-1992 Visiting Scientist at the Centre for Neural Engineering, University
of Southern California, LosAngeles, USA (with a project on modeling human
motion control with neural networks).
- 1991 Ohlstadt (D). EEC Summer School su "Cognitive Aspects on Motor
- 1989 Trieste (I). Encounters on Cognitive Sciences at SISSA. Summer course
on: "Theoretical Issues in Motor Control".
- 1984/1985 (Academic Year). Politecnico of Milano, Degree (Laurea) of Electrical
Engineering, magna (100/100) cum laude.
- 1979 Maturità Classica, liceo Alessandro Volta, Como (52/60).
Membership in Scientific Organizations
- Italian Society for Neural Networks.
- IEEE Society
His research activity is based on designing, developing and testing on real-problems, methods and algorithms, based on computational intelligence, with particular attention to limited processing time. In particular, he has developed new methodology for motion capture and computer vision, and multi-scale, adaptive models for predictive regression and for clustering. More recently he has combined the acquired expertise in motion capture with exer-gaming to create innovative platforms for rehabilitation, based on a flexible, configurable game engine endowed with artificial intelligence capabilities. This work has been complemented by research on possible mechanisms of control of Human motion and cognitive processes. In parallel he has been working on the pipe-line of X-ray imaging: from raw data to 3D tomography. Overall he is co-author of more than 60 peer-reviewed journal papers, more than 100 conference reviewed papers and 16 international patents.
Strong ties with industry, that has financed research significantly, has provided direct privileged access to real application that has been both challenging and rewarding for my research group. My research has also been funded also by National and European grants, and in particular by CNR Robocare, PRIN2006 and PRIN2008 grants, and by FITREHAB (Fitness and rehabilitation at home under expert planning, Innovation for Welfare EU project) and by REWIRE (Rehabilitative Wayout In Responsive home Environments, Strep FP7) projects both coordinated by him.
Robotics and Digital Animation (Master level) and
Digital Architectures (Undergraduate, first year).