Prof. Qingsheng Zeng | IEEE Senior Member, Distinguished Professor/PhD Advisor
Nanjing University of Aeronautics and Astronautics (NUAA), China
Research Area:
Communication and Electronic Systems, Noise Measurement and Modeling, Antenna Analysis and Design, Electromagnetic Compatibility and Electromagnetic Interference, Uwb Technology, Radio Wave Propagation, Computational Electromagnetics.
Title：New Approach to Generate and Steer Terahertz Waves Carrying Orbital Angular Momentum for Future Wireless Communications
Abstract：Metasurfaces have recently drawn great attention since they can control various wavefront to achieve unconventional functionalities of electromagnetic waves. On the other hand, orbital angular momentum waves have the potential to increase channel capacity in terahertz communication. In this work, a novel design of three-dimensional graphene metasurface combining functionalities of orbital angular momentum wave generation and wave steering has been proposed and studied at terahertz frequency. The multifunctional graphene metasurface consists of 36_36 reflective unit cells. Each unit cell consists of dielectric layers and graphene patch mounted on. The cell is controlled independently by the size and chemical potential of the graphene patch. By scrutinizing the reflective property of the graphene cell, the graphene metasurface is well designed to realize multi-functionalities. Simulated results show that vortex wave with mode l = 1 can be generated and steered by 30 degrees at 1.3 THz. Due to the tunability of graphene, the proposed metasurface has great potential in designing novel flexible graphene devices in terahertz regime. This work also provides the methodology of designing multifunctional graphene metasurfaces in the future.
Prof. Ting Yang (School of Electrical and Information Engineering, Tianjin University)
Deputy director of Tianjin “Energy Internet” International Joint Research Center
Deputy director of circuit and system branch of China Electronics Society
Deputy director of national "distributed energy and micro network" international science and technology cooperation base
Research Area:
Energy & Power, Internet of Things, Artificial Intelligence, Intelligent Manufacturing
Title：A Summary of Communication Technologies in Smart Grid: the Nervous Infrastructure of Electrical Power System
Abstract：One of the differences between smart grid and the traditional electrical power system is that the digital information and communications technologies are widely used in smart gird, and it developed as a modernized electrical grid. In the smart grid, communication networks as its nervous infrastructure transmit the information about the behaviors of suppliers and consumers in an automated fashion and improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. This keynote will present a summary of different communication technologies applied in smart grid, including the communication requirements for electrical power system, the information and communication framework, and communication standards and application.
Prof. Jizhong Zhu | IEEE Senior Member, Distinguished Professor/PhD Advisor
South China University of Technology, China
Chongqing Univerisity, China
Speech topic: Research and Application of Smart Grid
Abstract: This presentation introduces the definition, scope, operation objectives and technologies of smart grid (SG). The SG technologies include: Integrated communications, Sensing and measurement technologies, Advanced components, Advanced control methods, and Improved interfaces and decision support. These new technologies speed up the development of smart grid in modern power system. Robust smart grid is promoting large scale of application of renewable energies. In addition, the relationship of smart grid and energy internet is analyzed, and their application scenarios are discussed. Finally, this topic will address the application of smart grid on the areas of smart microgrid, electric vehicles and energy storages.
Associate Prof. Julien LE KERNEC
James Watt School of Engineering, University of Glasgow, UK
School of Information and Communication, University of Electronic, Science and Technology of China, Chengdu, China
Information and Signal Processing Team, University Cergy-Pontoise, France
Research Area:
Radar system design, Software defined radio/radar, Signal processing, and Health applications.
Title：Radar sensing in assisted living
Abstract：In this seminar, I will discuss the place of radar for assisted living. First, the context of assisted living and the urgency to address the problem will be described. The second part will give an overview of existing sensing modalities for assisted living and explains why radar is an upcoming preferred modality to address this issue. The third section presents developments in machine learning that helps improve performances in classification especially with deep learning with a reflection on lessons learned from it. The fourth section introduces vital signs monitoring with radar and medical applications: breathing disorders and sleep stage monitoring. Finally, I'll conclude with open challenges.
