Federico Bizzarri was born in Genova, Italy, on October 3, 1974.
Today he is a temporary research contract Assistant Professor at the Electronic and Information Department of the Politecnico di Milano
Brief Carrier History:
- 1998 M.Sc. 5-year degree in Electronic Engineering, University of Genova. Graduated with first class honours (Summa Cum Laude). Dissertation: On the applicability of Interval Analysis to circuit numerical simulation. Supervisor: Prof. MauroParodi.
- 1998-2001 Ph.D. in Electrical Engineering, University of Genova. Dissertation: Analysis and synthesis of a chaotic oscillator based on hysteresis. Supervisor: Prof. Mauro Parodi.
- 2001 Visitor at the Laboratory of Nonlinear Systems of the École Polytechnique Fédérale de Lausanne, supervisor Prof. Martin Hasler. Research activity on: "Chaotic signals for the definition of spread-spectrum communication systems characterized by noisy channels." Sponsored by the University of Genova.
- 2001-2002 Employed in FINCANTIERI Cantieri Navali Italiani S.p.A. (Genova – Italy) in the group "Combat System Architecture" to develop and apply System Engineering models in the feasibility study of naval vessels.
- 2002-2005 External Research Collaborator, the Biophysical and Electronic Engineering Department, University of Genova.
- 2005-2008 Postdoctoral Research Assistant, the Biophysical and Electronic Engineering Department, University of Genova, supervisor Prof. Marco Storace.
- 2008-2009 Postdoctoral Research Assistant, the ARCES Research Center of the University of Bologna.
His main research interests are in the area of nonlinear circuits and systems, with emphasis on:
- Circuit Simulation
- Pulse coders optimization
- Modelling of biological neurons for computational neuroscience applications
- Identification of nonlinear dynamical systems
- Analysis, Synchronization and Control of Complex Networks
- Smooth, Hybrid and Piecewise-smooth (continuous and discrete time) dynamical systems
- Bifurcations of smooth and non-smooth systems
- Piecewise-linear (PWL) approximation techniques of n-variate functions for engineering applications (e.g., emulation of nonlinear dynamical systems, nonlinear control systems)
- Analysis and design of algorithms for early-vision image processing suitable for the implementation on DSP boards
- Information processing (synthesis of cellular nonlinear networks for parallel nonlinear information processing, classification of chaotic sequences, approximation of bivariate functions based on the properties of the Singular Value Decomposition)