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Filippo Grassia

CNRS Post Doc

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Address

  • Laboratoire IMS, BioElectronic Group, UMR 5218 CNRS
    AS2N (Architecture of Silicon Neural Networks) Team
    351, cours de la Libération


  • TALENCE Cedex
  • 33405
  • France

Contact

  • This email address is being protected from spambots. You need JavaScript enabled to view it.
  • +33 (0)5 40 00 30 14

Miscellaneous Information

Filippo Grassia received the master degree in computer science engineering (obtained with honors, 110/110 cum laude) at the University of Catania (Italy) in 2006. He had several working experiences as computer science researcher starting with the Thales group in Netherlands and then joining (2007-2009) the INFN (National Institute of Nuclear Physics - Department of Physics - University of Catania, Italy) is having also the opportunity to get a master in materials science (2009).

In January 2010, He started an interdisciplinary research at the interface between engineering, materials and biology. He was awarded a Marie-Curie Ph.D. research fellowship in the European FACETS-ITN project and He did his Ph.D. (2010-2012) in the bio-electronics group at the IMS (Integration from Materials to System UMR 5218 CNRS) Laboratory, Bordeaux, France. He received from the University of Bordeaux 1, the Ph.D. degree in electronic engineering on January 7th 2013, obtained with the mention 'très honourable'.

Since January 2013 He is involved in the European Brain-Bow project as CNRS post-doctoral fellow (2013-2014) in the IMS Laboratory, working on experimental and theoretical studies to design neuromorphic chip for brain repair that will reproduce the functional organization of a damaged part of the central nervous system.

Research Experience

From January 2013 up to now: CNRS post-doctoral fellow (Brain-Bow project), IPB - IMS laboratory UMR 5218 CNRS, Bordeaux (France).

From January 2010 to December 2012: Marie Curie Ph.D fellowship (FACETS – ITN project), IPB - IMS laboratory UMR 5218 CNRS, Bordeaux (France).

From January 2010 to December 2012 (training period and visiting fellow):

- Technology transfer course, KTH royal institute of technology, Stochkolm (Sweden)

- Experiments with large scale hardware systems, research centre of Jülich (Germany)

- Neuromorphic systems, Kirchhoff Institute für Physik, Heidelberg (Germany)

- Theoretical approaches to new computing concepts, Leysin (Switzerland)

- Bifurcation analysis and its applications, IIS - University of Tokyo (Japan)

- Theoretical Neuroscience, EPFL Lausanne (Switzerland)

- Artificial neural network, Johns Hopkins University, Baltimore (Usa)

- Experiments on highly-parallel VLSI-systems, TUD University, Dresden (Germany)

- Biological experiments (in vitro and in vivo), CNRS, Gif-sur-Yvette (France).

From July 2008 to December 2009: Research engineer, ETC (Epitaxial Technology Center) Catania (Italy). Process Designers for wafers and epitaxial slices of new biocompatible semiconducting materials (SiC).

From June 2007 - July 2008: Research engineer, INFN (National Institute of Nuclear Physics) Catania (Italy). Grid computing, simulations and application porting.

From September 2006 to June 2007: Research engineer, THALES, Hengelo (Netherlands). Development of complex algorithms to process radar data.

Research Highlights

- Publications in International Journals: 6; Publications in International Conference: 6; Publications in National Conferences: 1; Invited Talks: 1.

 - Participation in research contracts:

  • BrainBow (FP7, FET Young Explorer, 2012-2015).

  • BrainScales (FP7-FET-Proactive) under the Grant n°269921.

  • FACETS-ITN (FP7-PEOPLE-ITN-2008) under the Grant n°237955.

  • SiCilab (Silicon Carbide Integrated Laboratory Law 297/89 - Project DM23176).

Research Interests

My research interests are focus on the design of bio-inspired hardware for hybrid connection, neuromimetic analog integrated circuits, artificial intelligence and complex systems principles applied to robotics, stochastic neuronal computations, neuronal noise on hardware, chaos and nonlinear time series analysis, bifurcation analysis, neuron models, parameter estimation, optimization, metaheuristic algorithm, fixed point calculations and cellular neural networks for image processing.

Teaching activity

Since 2011 up to now, Filippo Grassia is temporary teacher and supervisor of under and postgraduate students (electronics, informatics and automation) at University of Bordeaux 1 (France).

Most significant publications since 2009

[1]Grassia, F., Lévi, T., Saïghi, S., and Kohno, T. (2012). Bifurcation analysis in a silicon neuron. Artificial Life and Robotics, 17:53-58.

[2]Grassia, F., Buhry, L., Lévi, T., Tomas, J., Destexhe, A., and Saïghi, S. (2011). Tunable neuromimetic integrated system for emulating cortical neuron models. Frontiers in Neuroscience, 5(134).

[3]Buhry, L., Grassia, F., Giremus, A., Grivel, E., Renaud, S., and Saïghi, S. (2011). Automated parameter estimation of the hodgkin-huxley model using the differential evolution algorithm: Application to neuromimetic analog integrated circuits. Neural Computation, 23(10): 2599-2625.

[4]Grassia, F., Izzo, G., Piluso, N., Di Stefano, A., and Foti, G. (2010). Spatial distribution of pulsed plasma emitted from carbon target. Radiation Effects Defects in Solids, 165:713-720.

[5]Izzo, G., Litrico, G., Grassia, F., Calcagno, L., N., and Foti, G. (2009). Enhanced defects recombination in ion irradiated SiC. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, DOI: 10.1016/j.nimb.2010.05.018.

[6]Fragalà, M., Di Mauro, A., Litrico, G., Grassia, F., Malandrino, G., and Foti, G. (2009). Controlled large scale fabrication of sea sponge - like ZnO nanoarchitectures on textured silicon. CrystEngComm, DOI: 10.1039/b914541a.

[7]Grassia, F., Lévi, T., Kohno, T., and Saïghi, S. (2014). Silicon neuron: digital hardware implementation of the quartic model. 19th International Symposium on Artificial Life and Robotics, Beppu (Japan), January 22-24, 2014.

[8]Grassia, F., Lévi, T., Saïghi, S., and Kohno, T. (2012). Bifurcation analysis in a silicon neuron. 16th International Symposium on Artificial Life and Robotics, Beppu (Japan), January 19-21, 2012.

[9]Grassia, F., Lévi, T., Tomas, J., Renaud, S., and Saïghi, S. (2011). A Neuromimetic Spiking Neural Network for Simulating Cortical Circuits. 45st Annual Conference on Information Sciences and Systems, CISS 2011, The John Hopkins University, Baltimore, MD (USA), March 23-25, 2011.

[10]Grassia, F., Izzo, G., Piluso, N., Di Stefano, A., and Foti, G. (2009). Spatial distribution of pulsed plasma emitted from carbon target. PPLA 4th Workshop Plasma Production by Laser Ablation, Messina (Italy), June 2009.

 

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The BrainBow project acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284772.

Fundings1