Keynote Speakers  大会主讲人

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 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: Microwave photonic signal processing and sensing

Abstract: Photonic signal processing offers the prospect of overcoming a range of challenging problems in the processing of high-speed signals. Its intrinsic advantages of high time-bandwidth product and immunity to electromagnetic interference (EMI) have led to diverse applications. Photonic signal processing leverages the advantages of the optical domain to benefit from the wide bandwidth, low loss, and natural EMI immunity that photonics offers. Next generation global telecommunication platforms and emerging applications in radar, communications and sensing will require entirely new technologies to address the current limitations of electronics for massive capacity and connectivity. Microwave photonics, which merges the worlds of RF and photonics, shows strong potential as a key enabling technology to obtain new paradigms in the processing of high speed signals that can overcome inherent electronic limitations. In addition, the growth of silicon photonics allows integration together with CMOS electronics, to obtain future signal processing systems that can implement high bandwidth, fast and complex functionalities. Recent advances in microwave photonic signal processing are presented. These includes versatile beamforming and beam steering systems for phased array antennas, single bandpass microwave photonic filters, photonic-assisted scanning receivers for microwave frequency measurement, and microwave photonic sensing systems. These microwave photonic processors provide new capabilities for the realisation of high-performance signal processing and sensing.



      Prof. Cheng Li
      Memorial University of Newfoundland, Canada


Prof. Cheng Li received the B.Eng. and M.Eng. degrees from the Harbin Institute of Technology, Harbin, China, and the Ph.D. degree in electrical and computer engineering from Memorial University, St. John's, NL, Canada, in 1992, 1995, and 2004, respectively. He is currently a Full Professor and the Head of the Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University. His research interests include ad hoc and wireless sensor networks, wireless communications and networking, underwater communications and networks, switching and routing, and broadband communication networks, where he has contributed close to 300 research articles. He is a Registered Professional Engineer in Canada and a Senior Member of the IEEE and its Communications, Computer, Ocean Engineering, and Vehicular Technology Societies. He received the Best Paper Award at the ADHOCNETS 2018, the IEEE Globecom 2017, and the IEEE ICC 2010. He is an Editorial Board member of Wiley Wireless Communications and Mobile Computing, the Journal of Networks, KSII Transactions on Internet and Information Systems, and an Associate Editor of Wiley Security and Communication Networks. He has served as the General Co-Chair for the 2019 International Conference on Artificial Intelligence for Communications and Networks (AICON), and the International Conference on Wireless Networks and Mobile Communications (WINCOM) in 2019 and 2017. He has served as a Technical Program Committee Co-Chair for the 2020 International Conference on Computing, Networking, and Communications (ICNC), 2019 International Conference on Ad Hoc Networks (ADHOCNETS), 2017 Wireless Internet Conference (WiCON) , the Annual International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems in 2013 and 2014, the International Conference on Wireless and Mobile Computing, Networking, and Communications in 2011, and the Biennial Symposium on Communications in 2010. He has also served as the Co-Chair for various technical symposia or tracks of many international conferences, including the IEEE ICC and GLOBECOM, International Conference on Communications, the Wireless Communications and Networking Conference, the Vehicular Technology Conference, and International Wireless Communications and Mobile Computing Conference.

Speech Title: Mobile-Anchor Assisted Terrestrial and Underwater Localization of Large Scale Wireless Sensor Networks

Abstract: In large-scale wireless sensor networks (WSNs), the localization of individual sensors is very important for many applications. Generally, there are a small number of position-aware nodes, referred to as anchors. For localization purposes, every other node estimates its distances to surrounding anchors. Then, trilateration can be employed for self-localization. Such system is low-cost, simple, and thus popular for both terrestrial and underwater scenarios, but it suffers from some major drawbacks. First, the density of anchors is generally very low due to economic considerations, leading to low localization accuracy. Secondly, the scalability of WSNs based on fixed anchors is not good. Whenever the network expands, more anchors should be added to guarantee required performance. Other problems and challenges include, e.g., real-time channel parameters are generally required for terrestrial WSNs; whereas the clock skew between the target sensor and the anchors must be considered in underwater networks, which can be further complicated by system time synchronization.
Employing mobile anchors provides great flexibility. For terrestrial networks, commercial drones are very good choices, while autonomous underwater vehicles (AUVs) can be used for underwater WSNs. Mobile anchors can move on predefined trajectories and broadcast beacon signals, with which sensors can localize themselves passively. For terrestrial networks, the received signal strength (RSS) will be employed for localization purposes, because RSS is strongly related to T-R distance. For underwater networks, localization can be based on ToA or Doppler shift. The advantages of incorporating mobile anchors include less energy and communication bandwidth consumption and better localization accuracy.
In the presentations, the localization for both terrestrial and underwater scenarios will be discussed. Significant performance gains are shown by employing mobile anchors. Mathematical models and key techniques for mobile-anchor assisted networks are discussed, including localization algorithm design and performance bound analysis.



       Prof. Ho Pui, Aaron HO (SPIE Fellow)
      The Chinese University of Hong Kong  


Dr. Ho received his BEng and PhD in Electrical and Electronic Engineering from the University of Nottingham in 1986 and 1990 respectively. Currently a professor in the Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), he has held positions as Associate Dean of Engineering, CUHK, Assistant Professor in the Department of Physics and Materials Science, City University of Hong Kong, and Senior Process Engineer for semiconductor laser fabrication in Hewlett-Packard. Started as a compound semiconductor materials scientist, his current academic interests focus at nano-sized semiconductor materials for photonic and sensor applications, optical instrumentation, surface plasmon resonance biosensors, lab-on-a-chip and biophotonics. He has published over 300 peer-reviewed articles, 16 Chinese and 6 US patents. He is a Fellow of SPIE and HKIE, and a senior member of IEEE.