Universal light encoders: artificial intelligent optical hardware for real-time hyperspectral imaging and ultrasensitive detection
In this talk, I will review the fundamentals and application of this technology in various areas, ranging from the inverse design of ultra-flat optical components to HyplexTM, an innovative camera for acquiring and processing high-resolution hyperspectral videos in real-time at 30 frames per second.
Overview
Abstract
Andrea Fratalocchi is a Full Professor (from Jan 2023) in the Computer, Electrical, and Mathematical Sciences and Engineering Division at KAUST University. He joined KAUST in January 2011 as an Assistant Professor and was promoted to Associate Professor in July 2016. Before joining KAUST, Andrea Fratalocchi was a Research Fellow at the Sapienza University of Rome under a KAUST Fellowship Award. From 2007 to 2009, Andrea Fratalocchi worked as a post-doctoral researcher at Sapienza University under a "New Talent" Award from the research center "Enrico Fermi." In 2012 he was appointed as Editor of Nature Scientific Report. In 2017, he won the Middle East GCC Enterprise Award as the best electrical engineer of the year. In 2019, he became a Fellow of the Institute of Physics (IOP), a Senior Member of the IEEE, and a Fellow of the Optical Society of America (OSA): "For pioneering innovations in the use of complex optical systems and the development of creative technologies in clean energy harvesting, bio-imaging, and advanced optical materials". According to the standardized citations index collected by Plos (https://doi.org/10.1371/journal.pbio.3000918) Andrea Fratalocchi is in the top 2% of Optics worldwide. Andrea Fratalocchi authored more than 200 publications, including three books and six patents. Andrea Fratalocchi is the co-founder of Pixeltra (www.pixeltra.com), a startup company implementing a revolutionary artificial intelligent hardware and software hyperspectral technology for security, food safety, and biomedical applications.
Brief Biography
Universal light encoders represent a new generation of metasurface that implements hardware machine learning for controlling light propagation. In this talk, I will review the fundamentals and application of this technology in various areas, ranging from the inverse design of ultra-flat optical components to HyplexTM, an innovative camera for acquiring and processing high-resolution hyperspectral videos in real-time at 30 frames per second.