2024 4th International Conference on Intelligent Traffic Systems and Smart City(ITSSC 2024)
Keynote Speakers


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Prof. Mingbo Niu, Chang’an University, China 

Mingbo Niu, male, Ph.D., "Chang'an Scholar" Distinguished Professor, well-known expert in the fields of transportation-energy, vehicle-power, electrical-microgrids, professor and doctoral supervisor of the School of Energy and Electrical Engineering of Chang'an University, has been awarded the title of Canadian Registered Professional Engineer (P.Eng.) (a title recognised by the Commonwealth of Nations). He is also the director of the "Transportation-Energy-Information" Multi-Network Integration and Self-concordance Technology Innovation and Intelligence Base in Shaanxi Province, the head of IVR Low Carbon Transportation Laboratory and Micro and Nano Experimental Space, a member of the Internet of Things Committee of the China CIC, and a senior member of the China Highway Society. He was awarded the title of China's National Outstanding International Student and reported in "Shenzhou Scholar". He studied under Prof. Xu Demin, Academician of the Chinese Academy of Engineering (CAE), and worked as a scientific researcher in the State Key Laboratory. In 2005, he studied under Academician Xu Demin, CAE, and worked as a research assistant for the Multi-Robotics Project, and then went to the University of British Columbia for his Ph.D. degree (his Ph.D. work was highly recognised by an external reviewer, Prof. Robert Schober, Canadian Academy of Engineering (CACE), and a recipient of the prestigious Alexander von Humboldt Prize). His PhD work was highly recognised by an external reviewer, the prestigious Alexander von Humboldt Professorship, and Prof. Robert Schober, Dean of the Engineering Faculty of Canada. After his PhD, he joined Queen's University as a post-doctoral researcher in cutting-edge sciences, and was awarded the title of "Registered Professional Engineer" in 2017, and was invited to be the Chief Contributor to the SCI international journal "Wireless In 2019, he was invited to be the Chief Guest Editorial Board Member of the SCI International Journal "Wireless Communications and Mobile Computing" organised by Wiley in collaboration with Hindawi, and in 2021, he was invited to be the Editor-in-Chief of the EU InTech Intelligent Electricity Series.

Speech Title:

Smart Optics and Its Role on Ultra-high Frequency Green Comm

– History, Trends, and Technologies

Abstract:

Moving to smart grids to cyber-physical-social systems, moving from 5G to 6G, and moving from navigation assistant to intelligent driving, our world changes and ubiquitous connections are beyond imagination. The emerging smart optics technologies, that could potentially change people’s life in every aspect, motivate us to merge, expand and utilize the ultra-high bands for a variety of new designs, materials, and technique architectures by bundling integrated circuits, signal processing, energy harvesting, sensing, imaging, tomography, and data transmission. There are several limitations in the existing wireless world to meet the rise of traffic. Fortunately, the ultra-high band could be a promising candidate to combat these limitations. It also covers an underdeveloped ultra-wideband zone between microwave and infrared, therefore it bridges the gap between electronics and optics. In order to build up smart optics band systems that we need, we add new advances of cyber-physical across different research disciplines, smart optics can find its applications due to benefiting from both advantages of electronics and optics. It shapes future wireless world and promote smart city initiatives on exploring brand-new Green-Comm for reconfigurable intelligent surface, nondestructive evaluation, SWIPT, ITS, security, imaging and signal processing


Chaoyun Song

Prof. Chaoyun Song,King’s College London, UK

Dr. Chaoyun Song is currently a Senior Lecturer in the Department of Engineering at King’s College London, UK. His research interests include wireless energy harvesting and power transfer, rectifying antennas (rectennas), flexible and stretchable electronics, metamaterials and meta-surfaces, and low-power sensors.Chaoyun received his BEng, MSc, and PhD degrees in electrical engineering and electronics from the University of Liverpool, UK, in 2012, 2013, and 2017, respectively. Prior to joining King’s in 2023, he was an Assistant Professor for 3 years in the School of Engineering and Physical Sciences at Heriot-Watt University, Edinburgh, Scotland. He has published over 100 papers (including more than 40 IEEE transactions) in peer-reviewed journals and conference proceedings. Chaoyun holds 4 US/EU patents on rectenna technology, and some of them have been utilized by UK start-up companies. Dr. Song is a Senior Member of IEEE. He has served as a regular reviewer for more than 30 international journals, including Nature Communications, and over 15 IEEE transactions and journals. He has also served as session chair and/or TPC member for several conferences, including EuCAP2018, IEEE AP-S Symposium 2021, IEEE VTC2022-fall, and EuCAP2023. Dr. Song has been a guest editor for Wireless Communications and Mobile Computing, IEEE Open Journal on Antennas and Propagation and is an Associate Editor for Frontiers in Communications and Networks.

Speech Title:

Low Power Self-Renewing IoT Wearable Devices and Systems

Abstract:

The Internet of Things (IoT) technology realises the ‘interconnection of everything’ and ‘intelligent sensing’ through wireless communication and smart sensors, of which the intelligent interconnection of human activities and the physical world is one of the key technologies. Wearable smart devices are the core devices that sense human data and establish wireless connections, such as smart watches that measure temperature, humidity and pulse, and smart skins that measure sweat secretion and blood oxygen and glucose. As the number of wearable devices continues to increase, it has become a major challenge to effectively address the battery life of these devices. This involves not only reducing the power consumption for data collection and transmission, but also charging the device through energy harvesting to achieve self-endurance. This report presents several advanced wireless RF system designs for flexible fabrics and skin-fitting flexible wearable devices. These RF systems are designed to optimise wireless transmission performance and reduce power consumption. In addition, low-power, self-endowed IoT wearables based on backscattered communication with RF energy harvesting are explored, and applications of physical sensors in collecting human data and performing IoT data interactions are demonstrated. The report provides an in-depth analysis of IoT wearables and looks at the future of battery-free, zero-pollution wearables.


Prof. Renzhi Yuan, Beijing University of Posts and Telecommunications, China 

Dr. Yuan is currently a distinguished research fellow in the School of Information and Communication Engineering and the State Key Laboratory of Networking and Switching Technology of Beijing University of Posts and Telecommunications. He received his Ph.D. degree in electrical engineering from the University of British Columbia, Kelowna, BC, Canada in 2021. His research interests include the space-air-ground integrated communications, wireless optical communications, and quantum communications. He has authored/co-authored more than 30 papers and applied 8 patents in the area of optical communication and optical signal processing. Dr. Yuan was a Guest Editor for Photonics journal and is currently a young editorial board member for the Journal of Nanjing University of Posts and Telecommunications.

Speech Title:

Key Techniques and Challenges of NLoS Integrated Ultraviolet Communication and Positioning for Intelligent Unmanned Vehicles

Abstract:

Ultraviolet (UV) communication has attracted increasing attention in recent 10 years due to its inherent advantages such as low background noise, high local security, and non-line-of-sight (NLOS) ability. NLOS UV communication can be used in both military secure communications and civil communications among intelligent unmanned vehicles. Though the UV communication can achieve NLOS links thanks to the strong scattering effect of UV signals passing through the atmosphere, the NLOS communication link still suffers from interruption issue when there is no single-scattering link between the transmitter and the receiver. To tackle this interruption issue, the NLOS UV positioning method can be employed to help the UV transceivers maintain the single-scattering link during the communication period, especially in mobile scenarios. Currently, the UV communication and UV positioning are separately studied. In this presentation, we introduce the idea of integrated ultraviolet communication and positioning (IUCaP). We summarize the key techniques and challenges of IUCaP, including the UV positioning, channel modeling, compacity analysis, full-duplex technique, weak signal detection, and experimental studies.


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Prof. Xiaoqiang Zhang, Southwest Jiaotong University, China

Doctoral Supervisor, Professor, Postdoctoral Fellow of Georgia Tech; Visiting Scholar of George Mason University, U.S.A.; Judging Expert of National Logistics Competition; Judging Expert of National College Students' Logistics Competition; Reviewing Expert of a number of international and domestic famous journals; Director of Sichuan Science and Technology Youth Federation. He is also the director of Sichuan Science and Technology Youth Federation. He is also a special expert of Sichuan Logistics Association and Luzhou Municipal Government.

He graduated from the School of Information Science and Technology of Southwest Jiaotong University in July 2006 with a doctorate degree in engineering, and stayed in the university to teach in the same year, and is now a doctoral supervisor and professor in the School of Transportation and Logistics of Southwest Jiaotong University.

Professor Zhang Xiaoqiang has long been committed to teaching and researching on logistics intelligence and railway operation management, and has a high reputation in the international and domestic arena. He has supervised more than 100 doctoral and master's students. In recent years, he has published more than 100 academic papers in TRANSPORTATION PART A, TRANSPORTATION PART D and other high-level journals. The number of citations in Google Scholar reaches more than 1,000 times, and 15 papers are selected as Google High Citation Index papers.

He has presided over the projects of National Social Science Foundation, Science and Technology Development Project of Railway Corporation and Science and Technology Development Project of Sichuan Province.

Presided over the Provincial Fine Course of Modern Logistics and published the national textbook "Modern Logistics".


Speech Title: Research on optimization of high-speed railway passenger train operation plan and dynamic pricing strategy based on multi-source data

Abstract:

High-speed railways have become the main battlefield for China to become a transportation power. The construction and operation costs of high-speed railways are high, and most lines are deficit. The relatively fixed price strategy adopted by  high-speed railways has led to the imbalance of high-speed railway passenger flow distribution in time and space (holidays, weekdays and weekends, peak and flat peaks, between various ODs and regions). Pricing strategy is the core element to increase transportation revenue. Ticket prices affect high-speed rail passenger demand and its temporal and spatial distribution, which is crucial to improving railway profitability. This research studies the passenger flow selection behavior mechanism of high-speed rail passenger channels, the relationship between high-speed rail passenger fares and demand, and time-sharing differentiated pricing strategies, and studies a set of high-speed rail passenger intelligent operation decision-making theoretical system for pricing and train operation plans.