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Zoom: https://illinois.zoom.us/j/86568056921?pwd=Oi1KCAcr0almlfedFZaVaGKjUJCWKn.1
Refreshments Provided.
Abstract: Abstract: The advent of online social media, the ubiquity of computing and communication capabilities, and the proliferation of a wide variety of digital sensors owned by individuals allow humans to create a deluge of unfiltered, unstructured and unvetted data about the physical environment. This opens up unprecedented challenges and opportunities in the field of social sensing, intelligence and computing (SSIC), where the goal is to fully harness the power of humans and devices in their possession to accurately describe the state of the physical world and explore the collective intelligence from both humans and machines. This talk will present our work on developing analytical frameworks and real-world systems to address some key research challenges in SSIC. For example, how to use unreliable humans as reliable sensors to reconstruct the “states of the world” in both physical and information spaces? How to actively integrate crowd intelligence with AI to explore the collective strength of both humans and machines? The developed framework and systems have been applied in a wide range of real-world applications such as misinformation detection, crowd-based disaster response, intelligent transportation, and environment monitoring.
Bio:Dong Wang is an associate professor in School of Information Sciences at the University of Illinois at Urbana Champaign (UIUC). His research interests lie in the area of social sensing, intelligence and computing, human-centered AI and big data analytics. Dong Wang has published over 170 technical papers in peer reviewed conferences and journals. His research on social sensing, intelligence and computing resulted in software tools that found applications in academia, industry, and government research labs. He also authored two books “Social Edge Computing” published by Springer in 2023, and “Social Sensing” published by Elsevier in 2015. He is the recipient of NSF CAREER Award, Google Faculty Research Award, ARO Young Investigator Program (YIP), the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) and the Best Paper Honorable Mention of 8th IEEE SmartComp. He serves as an associate editor of IEEE Transactions on Big Data, Frontiers in Big Data, and Social Network and Analysis Journal (SNAM). He is also an IEEE Senior Member and ACM Member. Dr. Wang’s website: https://www.wangdong.org.
Part of the Siebel School Speakers Series. Faculty Host: Karrie Karahalios
Meeting ID: 865 6805 6921 Passcode: csillinois
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