Lesson plan
Junping Du
Junping Du ( ) is a Chinese computer scientist with highly varied research interests including publications on image restoration, crowdsourced face recognition, document summarization, distributed consensus, computational trust, virtualization in Hadoop-based distributed computation, multi-agent systems, state estimation for tracking mobile robots, training of neural networks, signal processing using Kalman filters, and robust control for automated vehicles. She is a professor of computer science at the Beijing University of Posts and Telecommunications. Du was born in Beijing, and completed a Ph.D. in computer science at the University of Science and Technology Beijing in 1998. She joined the Beijing University of Posts and Telecommunications in 2006, after postdoctoral research at Tsinghua University. She was named an IEEE Fellow, in the 2024 class of fellows, "for contributions to modeling and intelligent analysis of big data".
Article summary
Junping Du ( ) is a Chinese computer scientist with highly varied research interests including publications on image restoration, crowdsourced face recognition, document summarization, distributed consensus, computational trust, virtualization in Hadoop-based distributed computation, multi-agent systems, state estimation for tracking mobile robots, training of neural networks, signal processing using Kalman filters, and robust control for automated vehicles. She is a professor of computer science at the Beijing University of Posts and Telecommunications. Du was born in Beijing, and completed a Ph.D. in computer science at the University of Science and Technology Beijing in 1998. She joined the Beijing University of Posts and Telecommunications in 2006, after postdoctoral research at Tsinghua University. She was named an IEEE Fellow, in the 2024 class of fellows, "for contributions to modeling and intelligent analysis of big data".
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.