Dr. Matteo Nerini
Welcome to my webpage!
My name is Matteo Nerini, and I am currently a Postdoctoral Researcher with the Wireless Communications and Signal Processing Lab, at Imperial College London, U.K. My research interests include signal processing and machine learning for wireless communications, in particular beyond diagonal reconfigurable intelligent surfaces (BD-RISs).
I received the B.Sc. degree in electronics engineering and the M.Sc. degree in telecommunications engineering from the University of Bologna, Italy, in 2018 and 2020, respectively, the M.Sc. degree in communication technology from NTNU - Norwegian University of Science and Technology, Norway, in 2020, and the Ph.D. degree in electrical and electronic engineering from Imperial College London, U.K., in 2024. I received the Licence of Collegio Superiore, the school of excellence of the University of Bologna, in 2020. I was a Visiting Researcher with the Chair of Signal Processing Methods, at the Technical University of Munich, Germany, in 2023.
To know more about me and my research, check out my profiles on GitHub, Google Scholar, LinkedIn, and ResearchGate.
For the latest developments on BD-RIS, visit the dedicated IEEE ComSoc special interest group website.
If you have any questions or comments, please get in touch with me at m.nerini20 [at] imperial.ac.uk.
News 2024
Oct 2024: Our preprint "Physics-compliant modeling and scaling laws of multi-RIS aided systems" has been uploaded on Arxiv!
Oct 2024: We have organized a workshop on "Intelligent surfaces and analog computing for wireless communications" at Imperial College London and remotely on Zoom, welcome to join!
Jun 2024: Our paper "A universal framework for multiport network analysis of reconfigurable intelligent surfaces" has been accepted for publication in IEEE Trans. Wireless Commun.!
May 2024: Our paper "Physically consistent modeling of stacked intelligent metasurfaces implemented with beyond diagonal RIS" has been accepted for publication in IEEE Commun. Lett.!
May 2024: Our paper "Static grouping strategy design for beyond diagonal reconfigurable intelligent surfaces" has been accepted for publication in IEEE Commun. Lett.!
Mar 2024: Our preprint "Static grouping strategy design for beyond diagonal reconfigurable intelligent surfaces" has been uploaded on Arxiv!
Feb 2024: Our preprint "Physically consistent modeling of stacked intelligent metasurfaces implemented with beyond diagonal RIS" has been uploaded on Arxiv!
Feb 2024: Our paper "Beyond diagonal reconfigurable intelligent surfaces utilizing graph theory: Modeling, architecture design, and optimization" has been accepted for publication in IEEE Trans. Wireless Commun.!
Feb 2024: Our preprint "Localized and distributed beyond diagonal reconfigurable intelligent surfaces with lossy interconnections: Modeling and optimization" has been uploaded on Arxiv!
Jan 2024: Our BD-RIS webinar series, hosted by the IEEE ComSoc special interest group on BD-RIS, has kicked off!
News 2023
Nov 2023: Our preprint "A universal framework for multiport network analysis of reconfigurable intelligent surfaces" has been uploaded on Arxiv!
Sep 2023: Our paper "Pareto frontier for the performance-complexity trade-off in beyond diagonal reconfigurable intelligent surfaces" has been accepted for publication in IEEE Commun. Lett.!
Jul 2023: Our paper "Discrete-value group and fully connected architectures for beyond diagonal reconfigurable intelligent surfaces" has been accepted for publication in IEEE Trans. Veh. Technol.!
Jun 2023: Our paper "Closed-form global optimization of beyond diagonal reconfigurable intelligent surfaces" has been accepted for publication in IEEE Trans. Wireless Commun.!
May 2023: Our preprint "Pareto frontier for the performance-complexity trade-off in beyond diagonal reconfigurable intelligent surfaces" has been uploaded on Arxiv!
May 2023: Our IEEE ComSoc special interest group on BD-RIS has been established!
May 2023: Our preprint "Beyond diagonal reconfigurable intelligent surfaces utilizing graph theory: Modeling, architecture design, and optimization" has been uploaded on Arxiv!
Mar 2023: Our paper "Machine learning for PIN side-channel attacks based on smartphone motion sensors" has been accepted for publication in IEEE Access!
Jan 2023: Our paper "Overhead-free blockage detection and precoding through physics-based graph neural networks: LIDAR data meets ray tracing" has been accepted for publication in IEEE Wireless Commun. Lett.!