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EECS Faculty Candidate Seminar- Ruozhou Yu

Data-oriented and Trustworthy IoT Services for a Cyber-Physical World

The Internet-of-Things (IoT) has the potential to revolutionize our daily lives. Yet, we are facing
major challenges in deploying IoT to solve real-world problems. On one hand, the huge volume
of data generated by IoT devices must be transmissible and comprehensible by our existing
infrastructures. On the other hand, the complexity, heterogeneity and scale of IoT-based
systems have led to new security risks in our digital or even physical lives. Resolving these
challenges require sophisticated computing and analytical mechanisms in data science,
machine learning, cybersecurity, and/or social sciences, but the applicability of these
mechanisms in IoT is largely restricted by the limited computing, networking and energy
resources in many real-world IoT scenarios.
In this talk, I will focus on my efforts in addressing the above challenges in resource-constrained
IoT. To solve the big data challenge, I design algorithmic solutions for cross-layer networking
and computing design, providing guaranteed performance for IoT services and applications,
while increasing resource utilization, reducing congestion, and improving system robustness. To
solve the security challenge, I propose using the blockchain as a basic building block for
establishing a secure IoT platform, and introduce how it can be extended to enable a global
scale on-demand IoT marketplace. While the proposed solutions can largely address the above
challenges in IoT, many of them also have applications and extensions beyond this specific

Short Bio
Ruozhou is a PhD candidate in the School of Computing, Informatics, and Decision System
Engineering at Arizona State University. His research expertise lies at the intersection of
cybersecurity, networking, and distributed systems. His current research interests include
blockchain-based IoT, blockchain payment channels, IoT security, big data computing and
analytics, etc. His work has been published on top-tier conferences and journals such as IEEE
INFOCOM, IEEE JSAC and IEEE/ACM ToN. He has served as reviewers for top journals such as

Monday, February 25, 2019 at 11:00am to 12:00pm

Min H. Kao Electrical Engineering and Computer Science, 435
1520 Middle Drive, Knoxville, TN 37996

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