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Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling
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Kaiqiang Lin, Postdoctoral Research Fellow, Electrical and Computer Engineering
LoRAWAN, Reinforcement Learning, Space-Air-Ground-Underground Integrated Networks, Wireless Energy Transfer, Wireless Underground Sensor Networks
Karen Sanchez, Postdoctoral Research Fellow
AI for healthcare, Computer Vision, deep learning, machine learning, Medical imaging
Katerina Nik, Assistant Professor, Applied Mathematics and Computational Sciences
calculus of variations, fluid dynamics, free boundary problems, Mathematical Biology, mean curvature flow, Microelectromechanical, Partial Differential Equations
Katja Gorenflot, Graduate Program Student Advisor, Computer, Electrical and Mathematical Sciences and Engineering
KAUST Discovery
KAUST Ph.D. candidate wins ISBA-BayesComp poster award at the International Society for Bayesian Analysis 2022 (News)
Bayesian computational statistics, News
KAUST researchers rank in top 1% of cited work worldwide (News)
News
KAUST students participate in Europe’s leading hackathon event (Awards)
Awards

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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