Data-driven Management of Industrial Internet of Things (IIoT) and Advanced Manufacturing Systems
Prof. Jianli Pan, University of Missouri, St. Louis
1:45 p.m.–2:45 p.m., January 20, 2021
The ongoing Industry 4.0 revolution and the associated concept of Industrial Internet of Things (IIoT) are reshaping the future manufacturing, energy, food, and transportation industries and businesses. It will significantly improve the quality of living, health, security, and sustainability in our society. This vision is also echoed by the recently announced “NSF’s 10 big ideas.”
The key traits of Industry 4.0 and IIoT can be summarized as “Automation, Connection, and Smartness” to differentiate from its precedents, which requires harnessing the synergy of multi-disciplinary key enabling technologies such as IoT, AI/ML, Cloud/Edge Computing, 5G, Cybersecurity, Robotics, 3D Printing, and M2M. However, there are significant management challenges in handling massive amounts of data, heterogeneous IIoT systems, and a wide range of relatively insecure devices in the future IIoT and advanced manufacturing systems.
This talk focuses on an approach named “data-driven IIoT management triangle” to tackle these challenges. We apply it in exploring multi-disciplinary frontiers to empower such systems. Specifically, we will discuss in detail two related projects on IIoT resource and security management: (1) data-driven and QoEoriented IIoT resource management (DeepEdge), and (2) data-driven and Blockchain-converged IIoT security management (EdgeChain & BEHAVE).
Our current achievements demonstrate that the multi-disciplinary approaches have been proved to be both promising and fruitful.
Prof. Jianli Pan is currently an associate professor in the Department of Computer Science at the University of Missouri, St. Louis (UMSL). He obtained his Ph.D. in computer engineering from the Department of Computer Science and Engineering of Washington University in Saint Louis. Before that, he studied Information Engineering at Beijing University of Posts and Telecommunications (BUPT), China. Prof. Pan’s research interests broadly cover the Internet of Things (IoT), edge/cloud computing, machine learning, cybersecurity, blockchain, and mobile and distributed systems. He is particularly interested in applying data-driven approaches to solve emerging important problems at the intersections of these areas, addressing the real-world grand challenges that our society faces, and enabling future visions of smart factories, homes, communities, and cities. Prof. Pan received the 2020 “Inventor of the Year” award from the Saint Louis Bar Association for his work in blockchain-converged IoT systems. He also received the 2018 “Junior Faculty of the Year” award from UMSL for his research and contributions. Prof. Pan serves as an Associate Editor for IEEE Communication Magazine and IEEE Access.
Contact Ginny Watterson for the Zoom link.