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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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Spatial data fusion
Ruiman Zhong
Ph.D. Student,
Statistics
Spatial data fusion
clustering algorithms
spatio-temporal data analysis
Ruiman is a Ph.D. candidate in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Paula Moraga in her Geospatial Statistics and Health Surveillance Research Group. Before joining KAUST, Ruiman obtained her Master's Degree in Statistics (August 2020) from Katholieke Universiteit Leuven, Belgium. Her research interests include spatial and spatial-temporal data modeling.