F. Richard Yu

FIEEE, FCAE, FEIC, FIET, PEng, PhD
Professor, School Info. Tech. and Depart. Systems&Computer Eng.
Director, NSERC CREATE Program for Building Trust in Connected and Autonomous Vehicles (TrustCAV)
Carleton University
(On Leave)

Research Interests

Connected and Autonomous Vehicles (CAVs)

Machine Learning and Artificial Intelligence

    Although recent successes based on deep learning have boosted a new wave of interest in machine learning and AI, it is well believed that AI remains far from human intelligence, which requires a lot less datasets and is much more flexible when adapting to new environments. According to the Big History Project, the unique collective learning capability of humans enables us to share intelligence efficiently. In our research, we envision that the next paradigm could be intelligence networking, which will enable intelligence to be easily obtained, like matter, energy, and information.

    Recent Results:

Blockchain and Distributed Ledger Technology

    Recently, with the tremendous development of crypto-currencies, distributed ledger technology (DLT) (e.g., blockchain) has attracted significant attention. Although DLT has great potential to create new foundations for our economic and social systems, the existing DLT has a number of drawbacks (e.g., scalability) that prevent it from being used as a generic platform for distributed ledger across the globe. We propose a service-oriented blockchain system with virtualization and decoupled management/control and execution. This is a paradigm shift from the existing “blockchain-oriented” DLT systems to next generation“service-oriented” DLT systems. In addition, we present mathematical modeling and optimization for blockchain systems from the aspects of scalability, decentralization, latency and security.

    vDLT.io

    • F. Richard Yu, Blockchain Technology and Applications - From Theory to Practice, ISBN 978-1729142592, Kindle Direct Publishing, 2019.
    • F. Richard Yu, “A Service-Oriented Blockchain System with Virtualization,” Trans. Blockchain Technology and Applications, vol. 1, no. 1, pp. 1-10, 2019.
    • F. Richard Yu, J. Liu, Y. He, P. Si, and Y. Zhang, “Virtualization for Distributed Ledger Technology (vDLT),” IEEE Access, vol. 6, pp. 25019-25028, 2018.

Wireless Cyber-Physical Systems

    Wireless cyber-physical systems (CPS) are integrations of wireless communication, computation, networking, and physical processes. Examples of wireless CPS include connected and autonomous vehicles, intelligent transportation, communication-based train control (CBTC), industrial Internet, smart grid, etc. CPS integrates the dynamics of the physical processes with those of networking, providing abstractions and modeling, design, and analysis techniques for the integrated whole. Although the layered structure is one of the key reasons behind the success of the Internet, cross-layer/cross-system design is appropriate and may even be necessary in wireless CPS.

Security and Privacy in Networks

    Security and privacy are becoming more and more important issues in networks. Two classes of approaches, prevention-based (such as authentication) and detection-based (such as intrusion detection), can be used to protect high security wireless networks. As the front line of defense, user authentication is crucial for integrity, confidentiality and non-repudiation. Moreover, intrusion detection systems (IDSs), serving as the second wall of protection, can effectively help identify malicious activities. In addition, privacy concerns have drawn more and more attentions, involving the right of mandating personal privacy concerning storing, re-purposing, provision to third parties, and displaying of information pertaining to oneself via the network. Many technical challenges remain to be addressed to develop security and privacy schemes in future networks.

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