Reviewer Board
Members of the reviewer board are selected from all Algorithms reviewers for regularly providing timely high quality reports on submitted manuscripts. Responsibilities of reviewers are available here.
Members
School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China
Interests: optimal control, and nonlinear control theory and applications to SI engines; automotive powertrain systems, and unmanned aerial vehicles (UAV); hybrid
Interests: optimal control, and nonlinear control theory and applications to SI engines; automotive powertrain systems, and unmanned aerial vehicles (UAV); hybrid
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73072, USA
Interests: hydrology; water security; water resources management; reservoir operation; hydropower scheduling; artificial intelligence; data-mining; coupled human-natural systems; optimization theory
Interests: hydrology; water security; water resources management; reservoir operation; hydropower scheduling; artificial intelligence; data-mining; coupled human-natural systems; optimization theory
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
Interests: deep learning; visualization; image processing; medical image analysis; computer vision
Interests: deep learning; visualization; image processing; medical image analysis; computer vision
Fujitsu Research and Development Center Co. Ltd., Beijing 100027, China
Interests: computer vision; image processing; deep learning; machine learning; pattern recognition; remote sensing; precision agriculture
Interests: computer vision; image processing; deep learning; machine learning; pattern recognition; remote sensing; precision agriculture
Institute of Computer Science, Faculty of Science and Technology, University of Silesia in Katowice, 40-007 Katowice, Poland
Interests: algorithms based on rough sets theory; decision and association rules; feature selection
Interests: algorithms based on rough sets theory; decision and association rules; feature selection
