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Collaborative Trustworthy Sensing in Cyber Networks

Speaker: Guo-Jun Qi
University of Illinois, Urbana-Champaign

February 26, 2013 - 4:00 p.m. to 5:00 p.m.
Location: CII(Low 3051)
Hosted By: Dr. Elliot Anshelevich (x6491)


Cyber network is a network of interconnected agents which collectively sense and claim factual knowledge and information about physical world. Many multi-agents systems in real world, such as social media networks, crowdsourcing systems and sensor networks, can be abstracted as cyber networks. Agents in these systems often interact with each other, collaboratively or competitively. Thus, one agent can be influenced by others in such an interactive environment. This leads to unequal degrees of trustworthiness among agents, making their claims noisy or even conflicting with each other. In this talk, I will present a novel idea of collaborative trustworthy sensing. It reveals the quality of information contributed by different agents, and study how the interdependence between different agents impact on agent trustworthiness in collaborative sensing and knowledge aggregation tasks.


GuoJun Qi is a Ph.D. candidate in the Beckman Institute and the Department of Electrical and Computer Engineering in the University of Illinois at Urbana-Champaign. He has been awarded Microsoft Fellowship, IBM Fellowship and the best paper award at ACM Multimedia 2007. His work has appeared in the venues such as ICML, WWW, CVPR, ICDE, WSDM and SDM. His current research interests concentrate on integrating social and physical information and knowledge from multi-agent systems to support collective decision-making and problem-solving with the help of the big data in real world.

Last updated: February 19, 2013