Project description DEENESFRITPL Sophisticated on-chip photonic devices based on neural networks Complex and multi-functional integrated photonic systems are critical enablers for modern communication systems. With thousands of degrees of freedom, blank-slate algorithms allow further increases in the complexity of photonic systems, but their use is computationally prohibitive for the modelling of relatively large photonic devices with arbitrarily complex functionality. Funded by the Marie Skłodowska-Curie Actions programme, the NeuroPhotonics project will develop universal photonic neural network architecture and an optimisation framework to demonstrate on-chip photonic devices with previously elusive arbitrary functionalities. Show the project objective Hide the project objective Objective As data generation and transfer rates have grown rapidly over the last decades, integrated photonic systems have become the key technology enabling modern communication systems. In order to sustain future economic and societal growth, continued development of arbitrarily complex and multi-functional integrated photonic systems is therefore imperative. Traditional design of these systems relies on determining device geometries using analytical electromagnetics, after which various parameters are optimized. In contrast, the flexibility for more complicated optical functionality is currently only possible with “blank-slate” optimization routines. In these algorithms, the device structure is determined by searches through thousands of degrees of freedom, which is computationally prohibitive when targeting arbitrarily complex functionality with larger devices. To this end, this project will develop an artificial intelligence-based, universal photonic neural network architecture and its optimization framework to enable and experimentally demonstrate arbitrary photonic capabilities on-chip. For the first time, this novel approach will allow solutions for designer-specified operations including arbitrary combinations of wavelength and polarization-specific transfer functions. Resulting devices will be fabricated and characterized to demonstrate previously elusive on-chip functionality, and for rapid adoption and widespread use. Customer needs in communications and sensing applications will be specifically targeted through an industrial secondment, and a structured innovation management/commercialization plan. This framework and its industrial use represent a vast leap towards universal integrated photonic design for advancing European capability and economic drivers through innovation in future optical systems. As such, the fellowship will transform my career towards future leadership at the intersection of academic research and industrial innovation. Fields of science social scienceseconomics and businessbusiness and managementinnovation managementengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarenatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF-EF-RI - RI – Reintegration panel Coordinator KOC UNIVERSITY Net EU contribution € 157 355,52 Address Rumeli feneri yolu sariyer 34450 Istanbul Türkiye See on map Region İstanbul İstanbul İstanbul Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
