Applied Complexity: Ultra-flat AI materials for different applications
We review our recent results on artificial-intelligent designed ultra-flat materials that embeds "physical" neural networks for different application in biomedical imaging, optics, displays, and structural color generation.
Overview
Abstract
We review our recent results on artificial-intelligent designed ultra-flat materials that embeds "physical" neural networks for different application in biomedical imaging, optics, displays, and structural color generation.
Brief Biography
Andrea Fratalocchi is an Associate Professor (from July 2016) in the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST University. He joined KAUST in January 2011 as Assistant Professor. Prior to joining KAUST, Andrea Fratalocchi was a Research Fellow of 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 “Young Investigator” 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 best electrical engineer of the year. In 2019, he was elected Fellow of the Institute of Physics (IOP), Senior Member of the IEEE, and Fellow of the Optical Society of America (OSA).
