Conference Tutorials
META 2025 will feature several technical tutorials instructed by world-leading experts on various topics of interest to the META community. Tutorials are intended to provide a high quality learning experience to conference attendees.
Registration
The tutorials are part of the conference technical program, and are free of charge to the conference attendees.
Who Should Attend?
The tutorials will address an audience with a varied range of interests and backgrounds: beginners, students, researchers, lecturers and representatives of companies, governments and funding agencies who wish to learn new concepts and technologies.
Tutorial & Instructor
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Nonlocal metasurfaces
Prof. Andrea Alù, City University of New York (USA) Tutorial length: 1 hour Description: The use of engineered nonlocal responses in metasurfaces has been recently unveiled as a paradigm for extreme wave control, enabling rational control over space, time, frequency and momentum of the incoming signals, as well as analog-based image processing and computing. Several recent demonstrations of metasurfaces performing edge-detection and image-processing using engineered spatial nonlocality have shown a path towards ultrafast, efficient, massively parallel analog image processing based on passive devices, which holds the promise for being extended towards general analog computing platforms. Space-time nonlocal metasurfaces performing the space- and time-derivatives of the incoming signal were also envisioned by tailoring their frequency and momentum dispersion. In this tutorial, I will discuss the basics of nonlocality engineering in metasurfaces and their various implementations and opportunities for this field of research, showcasing compact meta-structures with reconfigurable properties that can perform mathematical operations, solve compact mathematical problems and address the issues of reprogrammability and cascaded responses. I will discuss how these findings may open exciting opportunities for applications in imaging, automotive vehicles, sensing and computing, and serve as a pre-processing tool for simplifying complex computing architectures. |