Kaiqun Fu
Kaiqun Fu was a Ph. D. student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Fu worked at the Spatial Mining Lab. He also worked closely with the District of Columbia Department of Transportation on Intelligent Transportation System (ITS) and smart city projects.
Fu's research interests are spatial data mining, machine learning, and intelligent transportation systems. He is particularly interested in
social media analysis in intelligent transportation systems and smart cities, especially on learning algorithms for smart city image analysis.
Publications
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General ItemGranger Causal Inference for Interpretable Traffic Prediction Date: Oct 31, 2022
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Projects
In the News
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Congratulations to Sanghani Center Spring 2021 Graduates , article Date: May 14, 2021 -
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DAC Student Spotlight: Kaiqun Fu , article Date: Sep 24, 2018