Keynote Speakers

Prof. Robert Minasian
IEEE & OSA Fellow
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 388 research publications, including Invited Papers in the IEEE Transactions and Journals. He has 76 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, and a Fellow of the Optical Society of America.

Speech Title: Advances in Photonic Signal Processing
Abstract: Photonic signal processing offers a new powerful paradigm for processing high speed signals due to its inherent advantages of wide bandwidth and immunity to electromagnetic interference. Microwave photonics, which merges the worlds of RF and photonics, shows strong potential as a key enabling technology to provide new signal processing systems and sensors that can overcome inherent electronic limitations. Photonic signal processors are intrinsically compatible with optical-wireless systems, and can provide connectivity with in-built signal conditioning for overcoming a range of challenging problems in the processing of high-speed signals. These signal processors leverage the advantages that photonics offer including the wide bandwidth, low loss, and natural EMI immunity. Current trends are focused on the integration of photonics on platforms that co-exist with CMOS electronics to enable boosting the performance of future systems performing communications, sensing and deep learning with the potential for implementing high bandwidth, fast and complex functionalities. Recent advances in microwave photonic signal processing are presented. These include dense integration silicon photonics techniques for LIDAR, widely tunable microwave photonic filters, photonic neural networks for deep learning, multi-function signal processors, and high-resolution integrated photonics-based sensors. These photonic processors herald new capabilities for achieving high-performance signal processing and sensing.