Wayne State University

Hongwei Zhang (张洪伟)

Associate Professor 



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Hongwei Zhang @ Wayne


I lead the Dependable Networking and Computing research group in the Department of Computer Science at Wayne State University. Our research explores the theories, methods, and systems building-blocks for addressing dynamics and uncertainties in networked systems that involve wireless networks, sensing and control networks, vehicular networks, and the Internet.

Presently, we are especially interested in the modeling, algorithmic, and systems issues in wireless sensing and control networks as well as their applications in connected and automated vehicles, smart grids, industrial automation, and smart health. For instance, as a part of the NSF CPS program and the NSF GOALI program and in collaboration with industry, we investigate field-deployable mechanisms for predictable, real-time, and secure wireless networking, and we investigate cross-layer approaches to taming cyber-physical uncertainties in wireless networked sensing and control; as a part of the NSF GENI program, we develop the theoretical and systems foundations for experimentation and service provisioning in networked vehicle systems as well as in federated, networked sensing.

Besides publications, o
ur work has provided foundational components for several wireless network systems, including the vehicular sensing and control network emulation system, the WiMAX research network, the KanseiGenie federated sensor networks, the NetEye experimental infrastructure (which has 176 IEEE 802.15.4 nodes and 15 802.11b/g nodes), and the DARPA sensor network systems A Line in the Sand and ExScal (which, with its 200-node 802.11b mesh network and 1,200-node mote network, was the world's largest wireless sensor network and 802.11b mesh network deployed at its time).

I received the NSF CAREER Award in 2011. Our work has been recognized by the Best Demo Award at the 21st NSF GENI Engineering Conference and the First Runner-up Demo Award at the 20th NSF GENI Engineering Conference in 2014, and our articles have been selected as a Spotlight Paper of the IEEE Transactions on Mobile Computing and a Best Paper Candidate at the IEEE International Conference on Network Protocols (ICNP) in 2010. Our work has also been featured by public media such as CBS, Science X, SmartPlanet, EurekAlert!, Model D, UMTRI Connected Vehicle News, Michigan University Research Corridor News, Wayne State University New Science Magazine, and Today@Wayne.




























































































































































 

Last modified on: 09/03/2007