Francesco P. Andriulli

Prof. Francesco P. Andriulli, IAS Distinguished Scholar for the academic year 2021/2022, is a professor in the Department of Electronics and Telecommunications at the Politecnico di Torino, Turin, Italy. Prof. Andriulli holds a Laura in Electrical Engineering (2004) from the Politecnico di Torino, Turin, Italy, an M.Sc. in Electrical Engineering and Computer Science (2004) from the University of Illinois at Chicago, Illinois, USA, and a Ph.D. in Electrical Engineering (2008) from the University of Michigan, Ann Arbor, Michigan USA. Prof. Andriulli served as principal investigator on eight national and international projects, currently he is the PI of the European Research Council CoG project, an ERC Consolidator Grant. Prof. Andriulli is a member of Eta Kappa Nu (the international honor society of the Institute of Electrical and Electronics Engineers), Tau Beta Pi Association, Phi Kappa Phi Honor Society, the International Board of European School of Antennas and of the International Union of Radio Science (URSI). Awards: the ERC grant of the European Union (2016), the EurAAP Leopold B. Felsen Award for Excellence in Electrodynamics (2015), the URSI Issac Koga Gold Medal (triennium 2014-2016) and the IEEE AP-S Donald G. Dudley Undergraduate Teaching Award (2014) and more. Prof. Andriulli has published more than 50 papers published in international ISI journals and 90 papers in peer-reviewed conference proceedings. He is the recipient of more than 15 awards and distinctions for scientific publications. In addition, Prof. Andriulli is the Editor-in-Chief of the magazine IEEE Antennas and Propagation, he serves as a track editor for the IEEE Transactions on Antennas and Propagation, and as an associate editor for the journals IEEE Antennas and Wireless Propagation Letters, IEEE Access, URSI Radio Science Letters and IET Microwaves, Antennas and Propagation. He also serves as the reviewer of 19 scientific journals. Prof. Andriulli’s research interests are in computational electromagnetics with a 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.