Junping Du (Chinese: 杜军平) 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.[1]
Du was born in Beijing,[2] and completed a Ph.D. in computer science at the University of Science and Technology Beijing in 1998.[1] She joined the Beijing University of Posts and Telecommunications in 2006, after postdoctoral research at Tsinghua University.[2]
She was named an IEEE Fellow, in the 2024 class of fellows, "for contributions to modeling and intelligent analysis of big data".[3]
References
edit- ^ a b Author biography from Li, Xiaoyong; Zhou, Feng; Du, Junping (June 2013), "LDTS: A Lightweight and Dependable Trust System for Clustered Wireless Sensor Networks", IEEE Transactions on Information Forensics and Security, 8 (6): 924–935, doi:10.1109/tifs.2013.2240299
- ^ a b Author biography from Li, Wenling; Jia, Yingmin; Du, Junping (January 2017), "Recursive state estimation for complex networks with random coupling strength", Neurocomputing, 219: 1–8, doi:10.1016/j.neucom.2016.08.095
- ^ 2024 Fellow Class (PDF), IEEE, retrieved 2023-12-15
External links
edit- Home page
- Junping Du publications indexed by Google Scholar