Metasurfaces for Diffractive Deep Neural Networks (MetaNN)
Focus topic: | Artificial Intelligence |
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Type of funding: | Individual funding programmes |
Programme: | CZS Nexus |
Funded institution: |
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Dr. Sina Saravi is a physicist specializing in nano-optics. He studied electrical engineering in Iran and then completed his doctorate in physics at the University of Jena, where he has been working as a postdoctoral researcher since 2018.
Goals
The aim of Dr. Saravi's research group is to investigate fundamental and technological aspects of the use of nanostructured metasurfaces as a platform for optical diffractive neural networks in order to transfer them into applications. Such neural networks realize an optical computer by means of successive layers of linear and nonlinear metasurfaces with fixed parameters. This optical system will have an architecture similar to a deep neural network, with its design parameters found by machine learning on a conventional computer.
In the long term, these purely optical neural networks can be used as a replacement for certain computer-based implementations of artificial neural networks, both to increase their computing power and to reduce their power consumption. These are both important prerequisites for the further development of artificial intelligence systems.
Involved persons:
Dr. rer. nat. Sina Saravi
Friedrich-Schiller-Universität Jena
Detailed information:
Focus topic: | Artificial Intelligence |
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Programme: | CZS Nexus |
Type of funding: | Individual funding programmes |
Target group: | Junior research group leaders |
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Funding budget: | 1.500.000 € |
Period of time: | February 2024 - January 2029 |