ICFSP 2023 / Signal Processing / Corfu, Greece

ICFSP 2023 | Corfu, Greece


Prof. Robert Minasian, IEEE Life Fellow, OSA Fellow, Fellow of The Royal Society of NSW
The University of Sydney, Australia

Professor Minasian is a Chair Professor with the School of Electrical and Information Engineering at the University of Sydney, Australia. He is also the Founding Director of the Fibre-optics and Photonics Laboratory. His research has made key contributions to microwave photonic signal processing. He is recognized as an author of one of the top 1% most highly cited papers in his field worldwide. Professor Minasian has contributed over 410 research publications, including Invited Papers in the IEEE Transactions and Journals. He has 92 Plenary, Keynote and Invited Talks at international conferences. He has served on numerous technical and steering committees of international conferences. Professor Minasian was the recipient of the ATERB Medal for Outstanding Investigator in Telecommunications, awarded by the Australian Telecommunications and Electronics Research Board. He is a Life Fellow of the IEEE, a Fellow of the Optical Society of America (now Optica), and a Fellow of The Royal Society of NSW.

Title:           Integrated silicon photonics signal processing

Abstract:  Integrated microwave photonic signal processing offers a new powerful paradigm due to its inherent advantages, including wide bandwidth and immunity to electromagnetic interference. Microwave photonics, which merges the worlds of RF and photonics, has strong potential as a key enabling technology to provide new signal processing systems that can overcome inherent electronic limitations. Integration of photonic signal processors on silicon platforms is especially attractive, since this leverages the CMOS fabrication technology to enable boosting the performance of future systems performing communications and sensing with the potential for implementing high bandwidth, fast and complex functionalities. Recent advances in silicon photonics integrated signal processing are presented. These include optical integration techniques for LIDAR on-a-chip systems including dense integration of waveguides and neural network assisted phase shifter control for beamsteering, techniques for the realisation compact integrated nanophotonic wavelength multiplexers, programmable integrated photonic processors, and high-resolution integrated sensors. These photonic processors open new capabilities for the realisation of high-performance signal processing and sensing.