georges tod
postdoc
I started my career as an engineer designing helicopter rotors for Airbus. I then got the opportunity to do research on how to model the complex behaviour of helicopters, namely some of their bioaeroelastic behaviour using bond graphs. During a first postdoc at Université Libre de Bruxelles (Belgium), I contributed to the hover flight stabilization of a robotic hummingbird. I then moved to the Flanders Make research institute to conduct industrial research and started working on how to model physical systems using machine learning. Last year, back at Université Libre de Bruxelles, I worked on how to discover interpretable partial differential equations from spatiotemporal data using physics informed neural networks and sparse regression. My main research interests are about the modeling and simulation of complex dynamic systems and hybrid physics machine learning approaches. This year, I am joining as a postdoctoral fellow the PhiMal team to work on physics inspired machine learning.
Georges's Bio




Some selected publications,




De Groote, W., Lefebvre, T., Tod, G., De Geeter, N., Depraetere, B., Van Poppel, S., & Crevecoeur, G. (2020). Inverse parametric uncertainty identification using polynomial chaos and high-order moment matching benchmarked on a wet friction clutch. Mechatronics, 65, 102320.


Tod, G., Mazaev, T., Eryilmaz, K., Ompusunggu, A. P., Hostens, E., & Van Hoecke, S. (2019, May). A convolutional neural network aided physical model improvement for AC solenoid valves diagnosis. In 2019 Prognostics and System Health Management Conference (PHM-Paris) (pp. 223-227). IEEE.


Muscarello, V., Masarati, P., Quaranta, G., Tod, G., Gomand, J., Malburet, F., & Pavel, M. D. (2018). Instability Mechanism of Roll/Lateral Biodynamic Rotorcraft–Pilot Couplings. Journal of the American Helicopter Society, 63(2), 1-13.


Tod, G., Pavel, M. D., Malburet, F., Gomand, J., & Barre, P. J. (2016). Understanding pilot biodynamical feedthrough coupling in helicopter adverse roll axis instability via lateral cyclic feedback control. Aerospace Science and Technology, 59, 18-31.

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