Jun Zhu

Jun ZhuDr. Jun Zhu is Professor of Statistics at the University of Wisconsin-Madison. She is a faculty member in the Department of Statistics and the Department of Entomology, as well as a faculty affiliate with the Center for Demography and Ecology and theDepartment of Biostatistics and Medical Informatics. The main components of her research activities are statistical methodological research and scientific collaborative research. Her statistical methodological research concerns developing statistical methodology for analyzing spatially referenced data (spatial statistics) and spatial data repeatedly sampled over time (spatio-temporal statistics) that arise often in the biological, physical, and social sciences. Her collaborative research concerns applying modern statistical methods, especially spatial and spatio-temporal statistics, to studies of agricultural, biological, ecological, environmental, and social systems conducted by research scientists. Dr. Zhu's methodological and collaborative research projects have been supported by the Environmental Protection Agency, National Institutes of Health, National Science Foundation, U.S. Department of Agriculture, U.S. Department of Defense, and U.S. Geographical Society. She is a Fellow of the American Statistical Association and a recipient of the Distinguished Achievement Medal in its Section of Statistics and the Environment.


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Analytical and Numerical Methods for Nonlinear Fluid Flow Problems in Porous Media37 %
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Advances in Geoengineering Along the Belt and Road37 %
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Fault Estimation for Network Systems Via Intermediate Estimator37 %
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Advances in Geoengineering along the Belt and Road37 %
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Fault Estimation for Network Systems Via Intermediate Estimator37 %
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Control of Wave and Beam Pdes37 %
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Control of Wave and Beam Pdes37 %
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China Continental Scientific Drilling Project37 %
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Connected Dominating Set: Theory and Applications37 %
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Connected Dominating Set: Theory and Applications37 %
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Quantum Dots for DNA Biosensing37 %
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AD Hoc Networks48 %
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Signaling Through Cell Adhesion Molecules48 %
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Efficiency in Natural Product Total Synthesis38 %
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Research on soft sensor modelling based on multi-operation condition7 % NR
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Multi-Mode Resonant Antennas5 % NR
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Multi-Mode Resonant Antennas3 % NR
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Revisiting the Frontiers of Analog and Mixed-Signal Integrated Circuits Architectures and Techniques Towards the Future Internet of Everything (Ioe) Applications6 % NR
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