GIANLUIGI PILLONETTO
CURRICULUM VITAE
NAME
Gianluigi Pillonetto
PRESENT POSITION
Assegnista di ricerca (Post-doc fellow), Department of Information Engineering, University of Padova, Padova,
Italy
BIOGRAPHICAL
Citizenship: Italian
Date of birth: January 21st 1975
Place of birth: Montebelluna (TV)
ADDRESS
Home:
Via Monte Solarolo 9,
31044 Montebelluna (TV)
Italy
Phone: +39 0423 600702
Work:
Department of Information Engineering,
University of Padova
Via Gradenigo 6/B,
35131 Padova
Italy
Phone: +39 049 8277607
Fax: +39 049 8277699
Email: giapi@dei.unipd.it
http://www.dei.unipd.it/~giapi
EDUCATION
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2002, Ph.D. in Bioengineering, Polytechnic of Milan Consortium with University of Padova and University of Pisa.
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1998, Laurea Degree in Ingegneria Informatica (Computer Science Engineering) (110/110 cum laude), University
of Padova.
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1993, Diploma of Scientific Maturity (60/60).
ACADEMIC APPOINTMENTS

June 2002 – to present, Assegnista di Ricerca (post-doc fellow), Department of Information Engineering, University
of Padova, Padova, Italy. Title of research program “Modelli bayesiani per la stima di parametri fisiologici”,
supervisor: Prof. Claudio Cobelli.
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2002 – to present, “Cultore della Materia” SSD (scientific disciplinary sector) ING-INF/06 “Bioingegneria
Elettronica ed Informatica” (ex K06X).
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December 2001 – May 2002, Visiting Scientist, Applied Physics Laboratory and Department of Bioengineering,
University of Washington, Seattle, (USA).
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July 2000 – September 2000, Visiting Scholar, Applied Physics Laboratory and Department of Bioengineering,
University of Washington, Seattle, (USA).
TEACHING
Bioengineering course for the Laurea Degree in Electronic Engineering, Department of Information Engineering, University
of Padova
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Academic year 2002/03, two lessons (4h) for the Bioengineering Laboratory;
Academic year 2001/02, two lessons (4h) for the Bioengineering Laboratory;
Academic year 2000/01, two lessons (4h) for the Bioengineering Laboratory.
LECTURES

“Deconvoluzione con vincolo di non negatività: un caso nato dalla fisiologia (Handling nonnegativity in
deconvolution of physiological signals)”, Department of Information Engineering, University of Padova, Padova
(Italy), November 7th 2002.
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“Deconvolution of non stationary physical signals via stochastic regularization: a state-space approach” for CIMU
(Center for Industrial and Medical Ultrasound), Applied Physics Laboratory, University of Washington, Seattle
(USA), April 10th 2002.

“Deconvolution with unknown system and variance parameters: a smooth variance model for insulin secretion rate”,
Department of Bioengineering, University of Washington, Seattle (USA), March 21 st 2002.
HONORS AND AWARDS
Scholarship “Borsa di Studio per Corso di Perfezionamento all’estero”, University of Padova, Padova, Italy, December
2001.
REVIEWER

International Journals: Inverse Problems; Measurement Science and Technology; Journal of Physics A: Mathematical
and General; Mathematical Biosciences; IEEE Transactions on Medical Imaging.

International Conferences: European Control Conference 2003, Cambridge, United Kingdom; 5 th IFAC Symposium on
Modelling and Control in Biomedical Systems, 2003, Melbourne, Australia.
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DEPARTMENTAL ACTIVITY

Representative of Ph.D. students of the Department of Information Engineering, University of Padova, Padova, Italy,
1999-2001.
PROFESSIONAL ACTIVITY
Chartered Engineer (Italy), December 1998.
PROFESSIONAL SOCIETIES
Member of Institute of Electrical and Electronics Engineering (IEEE), 2003 – to present.
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RESEARCH
PROJECTS

Co-investigator of the MIUR (Ministero dell’Università e della ricerca scientifica e tecnologica) Grant 2001-2002,
research project entitled “Stima di parametri non accessibili in sistemi fisiologici (Estimation of non accessible
parameters in physiological systems)”, national supervisor: Prof. Gianna Toffolo.

Co-investigator of the MIUR (Ministero dell’Università e della ricerca scientifica e tecnologica) Grant 2002-2003,
research project entitled “Stima di parametri metabolici, emodinamici e regolatori per la caratterizzazione del legame
tra insulino-resistenza e iper-tensione”, national supervisor: Prof. Roberto Burattini.
ACTIVITY
1.
NONPARAMETRIC APPROACHES TO IDENTIFICATION OF PHYSIOLOGICAL SYSTEMS/SIGNALS
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2.
PARAMETRIC APPROACHES TO IDENTIFICATION OF PHYSIOLOGICAL SYSTEMS
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3.
linear and nonlinear stochastic regularization;
development of a stochastic deconvolution interactive program for physiological and pharmacokinetics systems;
new linear and nonlinear stochastic deconvolution approaches for the reconstruction of nonstationary and
nonnegative physiological signals. Development of new algorithms based on state-space approaches (Kalman
filtering), Markov chain Monte Carlo techniques and Laplace’s approximation;
deconvolution of physiological signals in presence of uncertainty in the kernel of the system (semi-blind
deconvolution);
application of nonlinear stochastic deconvolution to quantitative analysis of the cerebral metabolism and
hemodynamics from magnetic resonance images: models for the quantitative measurement of cerebral blood flow,
CBF, blood volume, CBV, and mean transit time, MTT, by dynamic gadolinium-enhanced magnetic resonance
imaging; quantitative assessment of the oxygen extraction ratio, OER, by fMRI-BOLD images;
probability density estimation.
Bayesian approaches to parameter estimation of physiological systems via Markov chain Monte Carlo techniques;
Bayesian identification of the minimal model of glucose kinetics;
population approaches.
MOTION PLANNING/BIOMECHANICS
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development of a new randomized motion planning algorithm;
application of motion planning in robotics and bio-informatics (protein folding, ligand binding);
movement estimation of the human body from noisy measurements of skin markers.
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PUBLICATIONS
International Journals
Published
1.
Pillonetto, G., G. Sparacino, and C. Cobelli. Reconstructing insulin secretion rate after a glucose stimulus by an
improved stochastic deconvolution method. IEEE Transactions on Biomedical Engineering 48:1352-1354, 2001.
2.
Sparacino, G., G. Pillonetto, M. Capello, G. De Nicolao, C. Cobelli. Winstodec: a stochastic deconvolution interactive
program for physiological and pharmacokinetic systems. Computer Methods and Programs in Biomedicine 67: 67-77,
2002.
3.
Pillonetto, G., G. Sparacino, P. Magni, R. Bellazzi, C. Cobelli. Minimal model S(I)=0 problem in NIDDM subjects:
nonzero Bayesian estimates with credible confidence intervals. American Journal of Physiology: Endocrinology and
Metabolism, 282(3): E564-573, 2002.
4.
Pillonetto, G., G. Sparacino, C. Cobelli. Handling non-negativity in deconvolution of physiological signals: a nonlinear
stochastic approach, Annals of Biomedical Engineering, 8: 1077-1087, 2002.
5.
Pillonetto, G., G. Sparacino, C. Cobelli. Numerical non-identifiability regions of the minimal model of glucose kinetics:
superiority of Bayesian estimation, Mathematical Biosciences,184(1):53-67, 2003.
Under revision/submitted
6.
7.
8.
9.
Pillonetto, G., G. Sparacino, C. Cobelli. Minimal model insulin sensitivity: a new index also accounting for the dynamics
of insulin action, (submitted).
Pillonetto, G., B. Bell. Deconvolution with unknown system and variance parameters: a smooth variance model for
insulin secretion rate, Inverse Problems (submitted).
Carpin, S., G. Pillonetto. Motion planning using adaptive random walks, IEEE Transactions on Robotics and Automation
(submitted).
Bell, B., G. Pillonetto. Estimating parameters and stochastic functions of one variable using
nonlinear measurement models, Inverse Problems (submitted).
Short Papers and Abstracts in International Conference Proceedings/Books
Published
10. Sparacino, G., G. Pillonetto, G. De Nicolao, C. Cobelli. STODEC (STOchastic DEConvolution): a program for input
estimation in physiological and pharmacokinetic systems. In: “E.Carson and E.Salzsieder (Editors), Modeling and
Control in Biomedical Systems 2000, IFAC Symposium Karlsburg, Germany, 30 March - 1 April 2000”, pp.303-308,
Pergamon Press, Oxford, Great Britain, 2000.
11. Pillonetto, G., G. Sparacino, C. Cobelli. Reconstruction of non-stationary biological signals via stochastic deconvolution.
In: "CD-ROM Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Chicago, July 2328, 2000", 2000.
12. Pillonetto G. Stochastic deconvolution of nonnegative physical signals. In “Proceedings of the Conference on Applied
Inverse Problems: Theoretical and Computational Aspects. Montecatini, June 18-22, 2001".
13. Pillonetto, G. Bayesian deconvolution of functions in Reproducing Kernel Hilbert Spaces using MCMC techniques.
Abstract accepted for publication in “Book of abstracts of the 21st IFIP TC 7 Conference on System Modeling and
Optimization, Sophia Antilopis, France, July 21-25, 2003”.
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To appear
14. Carpin, S., G. Pillonetto. Robot motion planning using adaptive random walks. Paper accepted for publication in
“Proceedings of IEEE Int. Conf. on Robotics and Automation, Taipei, Taiwan, May 12-17, 2003”.
15. Corazza S., G. Pillonetto, C. Cobelli, R. Frezza. Numerical approach to skin artifacts correction in
stereophotogrammetry. Paper accepted for publication in “Proceedings of the conference of the American Society of
Biomechanics, Toledo, OH, USA, 25-29 Septembe, 2003r”
16. S. Carpin, G. Pillonetto. Learning sampling distributions for randomized motion planning: role of history size. Paper
accepted for publication in “Proceedings of the 2003 conference on Artificial Intelligence and Applications, September
8-10, 2003, Balmadena, Spain”
Laurea Thesis
17. Pillonetto, G., “Deconvoluzione di segnali fisiologici con il metodo di regolarizzazione: algoritmi numerici e software
interattivo”.
Ph.D. Thesis
18. Pillonetto G: “Bayesian approaches for parameter estimation of physiological systems”.
Padova, 07/08/2003
In fede,
Gianluigi Pillonetto
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