NPPAC Group - Research Areas
Synergies
A deep historical synergy exists ever since with the Systems
and Control Division within the Electrical
Engineering and Computer Science Department of the
Politecnico di Milano, where we are located, specifically through 3
full Professors:
- Sergio
Bittanti, Chair of the 18th World Congress of the International Federation of Automatic
Control to be held in Milano next year 2011
- Patrizio
Colaneri, co-Chair of the above
- Riccardo Scattolini, Chair of the Systems and Control School at Politecnico di Milano
Less locally, but still within the Institute, especially within the
homonimous subproject ("Commessa"), synergy is ever since with Torino
Headquarters, namely with Adriano Valenzano, Research Director and
acting head to the subproject, as for Industrial Automation, and
especially with Roberto Tempo, Research Director and President of the
Control Systems Chapter of the IEEE.
Within Milano, a more recent tight cooperation is also
growing with University of Milano-Bicocca, as for both:
- Association to the local Division of the Italian National
Nuclear Physics Institute (INFN) as Head for Virtual
Biophysics Lab in Radiobiology project
- teaching Systems Biology within both PhD School in Industrial Biotechnology and Master School in Bioinformatics
and also throught the full Professor:
- Giancarlo Mauri, leader of the bioinformatic group
Projects
- Among the International Projects, ROBO M.D. aims to
develop an automatic system for modeling, monitoring and controlling
cardiovascular state in tele-medicine, in association to Giuseppe del
Re, University
of Linz and a few other Partners, within the Innovation 4
Welfare framework of the European Union.
- Extraction
and Characterization of Essential Discharge Patterns from Multisite
Recordings of Spiking Ongoing Activity
- Virtual Biophysics Lab
- An
AutoRegressive with eXogenous
input model based approach to trial by trial identification of
functional Magnetic Resonance Imaging BOLD responses
- An unsupervised clustering
approach for leukemia classification based on DNA microarrays data
- Learning
Bayesian Classifiers from GeneExpression MicroArray Data
- A clustering
technique for the identification of piecewise affine systems
with Biomedical
applications to Dialysis
and Plasmopara viticola
germination virulence forecasting
- Binary rule
generation via Hamming Clustering
- Forecasting
the performance status of head and neck cancer patient treatment by an
interval arithmetic pruned perceptron
- An improved
computational method to assess pituitary responsiveness to secretagogue
stimuli
- Applying
Enterprise Models to Design Cooperative Scientific Environments
Conferences
An invited talk within the Boolean Synthesis special Session at the International Conference of Operational Research held in Lisbon July 2010 did allow to witness about some consolidated results, some of which also in cooperation with Genova Unit, about Machine Learning