CV - GABRIELLI Francois

Name:

Dr. François Gabrielli

Nationality

French

Position:

Research engineer

Education:

Université de la Méditerranée (France), PhD in Biomechanics

ENSAM Paris (France), MS in Biomechanics

INP Grenoble (France), MS in Electrical Engineering

Email:

francois.gabrielli@uca.fr

Address:

Faculty of Dental Surgery

2, Rue de Braga - 63100 Clermont-Ferrand (France)

Phone:

+33 4 73 17 73 25

Research Interest:

I am highly interested in all applications of signal/image processing, or information technology in general, to biology. I graduated in 2000 as electrical engineer, with a focus on signal processing, and worked three years as an electronical engineer before engaging myself into research, with the final goal of mixing information science and healthcare. I choose biomechanics as my first research topic for the large scale of application (sport, ergonomic and orthopedic), and ended up in applying time frequency signal processing to impact biomechanics during my PhD (2006-2010, LBA IFSTTAR).  It was an original and investigating study where we proposed a new tool for forensic science, I order to get the chronology of injury events during accident reconstruction on human surrogate, based on acoustic signature of events.

After the PhD, I decided to switch to ergonomy applied to disable people (LAMIH UMR 8201 UVHC/CNRS), for a three years project on power steering system and a two years project on adapted aircraft seats, with a one year specialization on real time visual interface (SCaLab, UMR 9193 Lille 3  CNRS).

I eventually joined NeuroDol (UMR 1107 UdA INSERM) as a research engineer in scientific calculation, finally completing my goal. I’m currently in charge of all signal processing of neuronal data, either from EEG or extracellular invivo electrophysiology.

Technical expertise:

- Signal/image processing

- Software prototyping

- Visual interfaces

- Biomechanics

List of Publications (journals only):

1. Blandeau M., Estrada-Manzo V., Guerra T.M., Pudlo P., Gabrielli F., (2016), Unknown Input Observer for Understanding Sitting Control of Persons with Spine Cord Injury, IFAC-PapersOnline, 49, 5, pp 175-181

2. Wamain, Y., Gabrielli, F., & Coello, Y. (2016). EEG μ rhythm in virtual reality reveals that motor coding of visual objects in peripersonal space is task dependent. Cortex, 74, 20‑30

3. Naveteur J., Dupuy M., Gabrielli F., Michael G. (2015). How we perceive our own hands: Effects of attention, aging, and sex. Somatosensory & Motor Research, 23, pp. 1-9

4. Thevenon A., Gabrielli F., Lepvrier J., Faupin A., Allart E., Tiffreau V., Wieczorek V.,(2015) Collection of normative data for spatial and temporal gait parameters in a sample of French children aged between 6 and 12, Annals of Physical and Rehabilitation Medicine, Volume 58, Issue 3, pp 139-144,

5. Simoneau E., Leteneur S., Toumi A., Dessurne A., Gabrielli F., Barbier F., Jakobi J. (2015). Bilateral Strength Deficit Is Not Neural in Origin; Rather Due to Dynamometer Mechanical Configuration. PLoS ONE, 10(12),

6. Schiro J., Loslever P., Gabrielli F., Pudlo P. (2015). Inter and intra-individual differences in steering wheel hand positions during a simulated driving task. Ergonomics, 58 (3), pp. 394-410.

7. Gabrielli F., Schiro J., Pudlo P., Barbier F., Djemai M., Bouilland S., Thevenon A. (2013). Frequency based indicator for driver differentiation during steering exercises. Advancement of Modelling and Simulation techniques in Entreprise, Modeling C, 73 (3), pp. 34-45

8. Schiro J., Gabrielli F., Pudlo P., Barbier F., Djemai M. (2013). Sterring Wheel Hand Position in Low-Speed Maneuvers. Transportation Research Part F, 21, pp. 133-145.

9. Gabrielli F., Pudlo P., Djemai M. (2012). Instrumented Steering Wheel for Biomechanical Measurements. Mechatronics, 22 (5), pp. 639-650

10. Gabrielli F., Paganelli S., Schiro J., Pudlo P., Djemai M. (2012). Simulation platform for steering wheel gesture measurement. International Journal of Industrial Ergonomics, 42, pp. 469-477

11. Azmy C., Guérard S., Bonnet X., Gabrielli F., Skalli W.,(2010), Apport du système EOS® dans l’analyse expérimentale de la cinématique fémoropatellaire : évaluation de l’incertitude, Revue de Chirurgie Orthopédique et Traumatologique, 96, 1

12. Gabrielli F., Subit D., Ogam E., Guillemain P., Kent R.W., Masson C.,(2009) Time-frequency analysis to detect bone fracture in impact biomechanics. Application to the thorax, Medical Engineering & Physics, 31, 8, pp 952-958