Prof. Ljiljana Trajkovic
IEEE Life Fellow
Simon Fraser University, Canada
Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She is a Distinguished Lecturer of the IEEE Circuits and System Society, a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society, and a Fellow of the IEEE.
Speech Abstract: To be added
Prof. Henry Leung
IEEE Fellow, SPIE Fellow
University of Calgary, Canada
Henry Leung is a professor of the Department of Electrical and Software Engineering of the University of Calgary. His current research interests include data analytic, information fusion, machine learning, signal and image processing, robotics, and internet of things. He has published over 350 journal papers and 250 refereed conference papers. Dr. Leung has been the associate editor of various journals such as the IEEE Circuits and Systems Magazine, International Journal on Information Fusion, IEEE Trans. Aerospace and Electronic Systems, IEEE Signal Processing Letters, IEEE Trans. Circuits and Systems, Scientific Reports He has also served as guest editors for the special issue “Intelligent Transportation Systems” for the International Journal on Information Fusion and “Cognitive Sensor Networks” for the IEEE Sensor Journal. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE and SPIE.
Speech Abstract: To be added
IEEE Life Fellow, OSA Fellow, Fellow of
The Royal Society of NSW
University of Sydney, Australia
A. Minasian received the B.E. degree from
the University of Melbourne, Melbourne,
Australia, the M.Sc. degree from University
College London, U.K., and the Ph.D. degree
from the University of Melbourne.
He 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 photonics and 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 400 research publications, including Invited Papers in the IEEE Transactions and OSA (now Optica) Journals. He has 84 Plenary, Keynote and Invited Talks at international conferences. He is an Advisory Editor of Optical Fiber Technology.
He has served on numerous program, technical and steering committees of international conferences. He has also served on the Australian Research Council and on the Research Evaluation Committee for the Excellence in Research for Australia initiative.
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.
Speech 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.