Our Team
The Fellows
Johann Bourhis
JOHANN BOURHIS received the engineering degree in applied mathematics from the National Institute of Applied Sciences of Rennes, France, jointly to the master degree from the University of Rennes 1, in 2021. His domain of interest are the numerical methods for solving partial differential equations. The purpose of his Ph.D. is to study and to develop solutions for improving the numerical performance of Electromagnetic simulations in low-frequency regime.
Pierrick Cordel
PIERRICK CORDEL received the M.Sc. Eng. Degree from the Ecole Nationale Supérieure des Mines de Nancy, France, in 2021 as well as a M.Sc. in Industrial Mathematics from the University of Luxembourg, the same year. Currently, he is doing a PhD thesis at the institute Politecnico di Torino, in Italy. His research focus on time domain integral equations discretized with the convolution quadrature method.
Margaux Bruliard
MARGAUX BRULIARD received the M.SC.Eng degree in Scientific Computing Methods and Applied Mathematics from the Université Sorbonne Paris Nord, Villetaneuse, France, in 2019. She is currently a Ph.D. student at Politecnico di Torino, Turin, Italy, and focuses her research work on a better mathematical approach to impedance boundary conditions and meta-surfaces in electromagnetic simulations.
Leonardo Pollini
LEONARDO POLLINI received the Bachelor of Science degree in aerospace engineering from the Politecnico di Torino, Turin, Italy, in 2018, the Master of Science degree in aerospace engineering with major in fluid dynamics from the Politecnico di Torino, Turin, Italy, in 2021, where he is currently pursuing the Ph.D degree in framework of a Marie Curie EID in collaboration with Politecnico di Torino and Thales. His research interests are in integral equations and computational electromagnetics with a focus on the optimization of the computational methods and the uncertainties propagation.
In the Marie Curie project, he will be working on “Advancement of state of the art of optimization, sensibility, and uncertainty quantification empowered by innovative computational techniques of industrial relevance”.
Paolo Ricci
PAOLO RICCI received the M.Sc. (Laurea) degree in computer engineering in 2020 from the Politecnico di Torino, Turin, Italy, which he joined as Research Associate in 2021. He is currently pursuing the Ph.D. degree in the framework of a Marie Curie EID in collaboration with Politecnico di Torino and Thales. His research interest are in computational electromagnetics with focus on integral equation formulations, fast solvers, machine learning, and applications for antenna simulations and brain imaging. In 2019, he received the classical guitar diploma from the Conservatorio di musica G. Verdi”, Turin, Italy and in 2016 he achieved the 3rd place in the national finals and the 9th place in the international finals of the International Mathematical Games Championships. He is passionate about music, volleyball, juggling, and role-playing games.
In the Marie Curie project, he will be working on "New paradigms in computationally empowered machine learning for industrial EM design and assessments".
The Supervisory Board
Francesco Andriulli
Francesco P. Andriulli (Senior Member, IEEE) received the Laurea degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 2004, the M.Sc. degree in electrical engineering and computer science from the University of Illinois at Chicago in 2004, and the Ph.D. degree in electrical engineering from the University of Michigan at Ann Arbor in 2008.,From 2008 to 2010, he was a Research Associate with the Politecnico di Torino. From 2010 to 2017, he was an Associate Professor (2010–2014) and then a Full Professor with the École Nationale Supérieure Mines-Télécom Atlantique (IMT Atlantique, formerly ENST Bretagne), Brest, France. Since 2017, he has been a Full Professor with the Politecnico di Torino. His research interests are in computational electromagnetics with focus on frequency- and time-domain integral equation solvers, well-conditioned formulations, fast solvers, low-frequency electromagnetic analyses, and modeling techniques for antennas, wireless components, microwave circuits, and biomedical applications with a special focus on Brain Imaging.
Giuseppe Vecchi
GIUSEPPE VECCHI received the Laurea and Ph.D. (Dottorato di Ricerca) degrees in electronic engineering from the Politecnico di Torino, Turin, Italy, in 1985 and 1989, respectively, with doctoral research carried out partly at Polytechnic University, Farmingdale, NY, USA. He was a Visiting Scientist with Polytechnic University, 1989–1990, and since 1990, he has been with the Department of Electronics, Politecnico di Torino, where he has been an Assistant Professor, an Associate Professor from 1992–2000, and a Professor. He was a Visiting Scientist with the University of Helsinki, Helsinki, Finland, in 1992, and has been an Adjunct Faculty with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA, since 1997. His research interests include analytical and numerical techniques for analysis, design and diagnostics of antennas and devices, RF plasma heating, electromagnetic compatibility, and imaging.
This project has received funding from the European Union Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Actions, Grant Agreement No. 955476