Dong Wang

Dong WangDong Wang is an Assistant Professor at the Department of Computer Science and Engineering, the University of Notre Dame. He received his Ph.D. in Computer Science from University of Illinois at Urbana Champaign (UIUC) in 2012, an M.S. degree from Pekng University in 2007 and a B.Eng. from the University of Electronic Science and Technology of China in 2004, respectively. Dong Wang has published over 30 technical papers in conferences and journals, including IPSN, ICDCS, IEEE JSAC, IEEE J-STSP, and ACM ToSN. His research on social sensing resulted in software tools that found applications in academia, industry, and government research labs. His work was widely reported in talks, keynotes, panels, and tutorials, including at IBM Research, ARL, CPSWeek, RTSS, IPSN, and the University of Michigan, to name a few. Wang's interests lie in developing analytic foundations for reliable information distillation systems, as well as the foundations of data credibility analysis, in the face of noise and conflicting observations, where evidence is collected by both humans and machines. Read More Read Less

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Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring45 %
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Social Intelligence37 % NR
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Spatial-Temporal Cooperative Guidance for Multiple Flight Vehicles37 %
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Revitalizing Human-Robot Interaction37 %
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AETA 2023—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application37 %
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Prandtl Equations and Related Boundary Layer Equations37 %
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Social Edge Computing37 %
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Huawei37 %
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Underwater Biomimetic Vehicle-Manipulator System37 %
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Prevention and Reclamation of Mining-Induced Land Subsidence36 %
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Chinese People’s Time Use and Their Quality of Life37 %
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Resource Utilization of Solid Waste by Thermometallurgy in Steel Processes37 %
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Multimedia Technology and Enhanced Learning37 %
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Multimedia Technology and Enhanced Learning37 %
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Multimedia Technology and Enhanced Learning37 %
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Multimedia Technology and Enhanced Learning37 %
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Advances in Reliability and Maintainability Methods and Engineering Applications37 %
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Advances in Reliability and Maintainability Methods and Engineering Applications37 %
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Social Edge Computing37 %
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