Keynote Speakers (ICFST 2020)

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 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 370 research publications, including Invited Papers in the IEEE Transactions and Journals, and Plenary and Invited papers at leading 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: Integrated Microwave Photonic Advances for Photonic Signal Processing

Abstract: Integrated microwave photonics offers new paradigms for processing high-speed signals. It merges the worlds of RF and photonics to exploit the inherent advantages of this technique relating to its wide bandwidth capability and natural immunity to electromagnetic immunity (EMI), which are highly important in the current crowded spectral environment. Recently there has been a strong drive to integrate microwave photonic functions onto semiconductor platforms, such as silicon photonic integrated circuits which have the benefit of enabling CMOS compatible fabrication with electronics and which bring the features of cost-effectiveness and reduced footprint, power and weight. These bring new capabilities that cannot be achieved using electronics alone, for example in areas such as LIDAR, defence applications, and high-sensitivity sensors for IoT. Recent advances in integrated microwave photonics for photonic signal processing are presented. These include single sideband modulation techniques for dispersion-free microwave photonic links, multi-function signal processors, and ultra-high resolution integrated photonic sensors. These microwave photonic processors provide new capabilities for the realisation of high-performance signal processing and sensing.


Prof. Min Wu
University of Maryland, College Park, USA

Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park. She is currently serving as Associate Dean for Graduate Affairs for the University’s Clark School of Engineering. She received the B.E. degree in electrical engineering -- automation and the B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 with the highest honors, and her Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media and Security Team (MAST), with main research interests on information security and forensics, multimedia signal processing, and applications of data science and machine learning in health and IoT. Her research and education have been recognized by a U.S. NSF CAREER award, a TR100 Young Innovator Award from the MIT Technology Review, a U.S. ONR Young Investigator Award, a Computer World "40 Under 40" IT Innovator Award, an IEEE Harriett B. Rigas Education Award, an IEEE Distinguished Lecturer recognition, and several paper awards from IEEE SPS, ACM, and EURASIP. She was elected as IEEE Fellow, AAAS Fellow, and Fellow of the National Academy of Inventors for contributions to multimedia security and forensics. Dr. Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013), and has served as Vice President - Finance of the IEEE Signal Processing Society (2010-2012) and Editor-in-Chief of the IEEE Signal Processing Magazine (2015-2017). [URL:]

Speech Title: Exploiting Micro-Signals for Information Forensics

Abstract: A variety of nearly invisible "micro-signals" have played important roles in media security and forensics. These noise-like micro-signals are ubiquitous and typically an order of magnitude lower in strength or scale than the dominant ones, although they are traditionally removed or ignored as nuances outside the forensic domain. In this talk, I will give examples of micro-signals used in information forensic research, and discuss the recent research trend harnessing micro-signals for wellness and healthcare. I will show in this talk how the expertise with micro-signals has enabled our research group to explore the new opportunities in physiological forensics and a broad range of applications.