Connected and Trusted Intelligence for Future Digital Transport
Digital transport systems that rely on data-driven technologies can greatly improve the safety, efficiency, and user experience of transportation networks. These systems are made possible using Internet-of-Things (IoT) and sensing technologies that can collect large amounts of live data from various sources, such as traffic cameras and public transportation crowd sensing data. This data, which is rich in spatiotemporal features, allows for a deeper understanding of mobility patterns, transport service demand, and the gap between demand and supply. However, there are research challenges related to the trustworthiness of the data and how it is handled. In this talk, we will explore key aspects of trusted and connected intelligence for digital transport, including trusted data acquisition, trustworthy machine interpretation, data processing, and feature extraction. We will also present some of our recent breakthroughs and experimental results
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Macquarie University, NSW 2109
- Balaclave Road
- Sydney, New South Wales
- Australia 2109
Speakers
Wei
Connected and Trusted Intelligence for Future Digital Transport
Digital transport systems that rely on data-driven technologies can greatly improve the safety, efficiency, and user experience of transportation networks. These systems are made possible using Internet-of-Things (IoT) and sensing technologies that can collect large amounts of live data from various sources, such as traffic cameras and public transportation crowd sensing data. This data, which is rich in spatiotemporal features, allows for a deeper understanding of mobility patterns, transport service demand, and the gap between demand and supply. However, there are research challenges related to the trustworthiness of the data and how it is handled. In this talk, we will explore key aspects of trusted and connected intelligence for digital transport, including trusted data acquisition, trustworthy machine interpretation, data processing, and feature extraction. We will also present some of our recent breakthroughs and experimental results.
Biography:
Wei Ni received the B.E. and Ph.D. degrees in electronic engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is a Principal Research Scientist at CSIRO Data61 and a Conjoint Professor at the University of New South Wales, Sydney, Australia. He is also an Adjunct Professor with the University of Technology Sydney, and an Honorary Professor at Macquarie University. Before this, he was a Deputy Project Manager at the Bell Laboratories, Alcatel/Alcatel-Lucent, from 2005 to 2008, and a Senior Researcher at Devices Research and Development, Nokia, from 2008 to 2009. His research interests include 6G system, machine learning, stochastic optimization, online learning, and their applications to system efficiency, security, and integrity.
Dr Ni has published 1 book, 10 book chapters, over 300 refereed journal papers, over 100 refereed conference papers, 26 patents, and 10 accepted technical proposals accepted by IEEE standard. His scientific breakthroughs include the world's fastest wireless broadband demonstrator; patented adaptive topology control of software-defined radio network; and QoS provision to unreliable energy-harvesting powered wireless links. His patents have been officially referenced by over 260 patents (from Apple, Intel, Ericsson, Samsung, Nokia, Qualcomm, Blackberry, and Huawei) with a strong impact on industrial roadmaps.
Dr Ni has been an Editor for IEEE Communications Surveys and Tutorials since 2024, IEEE Transactions on Information Forensics and Security since 2024, IEEE Transactions on Vehicular Technology since 2022, and an Editor of IEEE Transactions on Wireless Communications since 2018. He served first as the Secretary and then the Vice-Chair and Chair of IEEE NSW VTS Chapter from 2015 to 2022. Under his leadership, IEEE NSW VTS Chapter received the prestigious Chapter of Year award in 2021. He also served as the Track Chair for VTC-Spring 2017, the Track Co-Chair for IEEE VTC-Spring 2016, the Publication Chair for BodyNet 2015, and the Student Travel Grant Chair for WPMC 2014. He is a Fellow of IEEE and a Fellow of AAIA.
Email:
Address:Sydney, Australia