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
Department of Civil Engineering University of Salerno Via Giovanni Paolo II n. 132, 84084 Fisciano, Italy
Interests: numerical methods in fluids; FSI; SPH; Lagrangian methods; meshless methods; fluid kinematics; water waves; wave generation; wave propagation; wave impact
Interests: numerical methods in fluids; FSI; SPH; Lagrangian methods; meshless methods; fluid kinematics; water waves; wave generation; wave propagation; wave impact
School of Mathematics and Statistics, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
Interests: optimization; numerical analysis; machine learning; imaging science
Interests: optimization; numerical analysis; machine learning; imaging science
Department of Computer Science, University of Ostrava, 70103 Ostrava, Czech Republic
Interests: machine learning; bio-inspired algorithms; pattern recognition; image processing; prediction
Interests: machine learning; bio-inspired algorithms; pattern recognition; image processing; prediction
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S10 2TN, UK
Interests: mobile robot SLAM/localisation; deep learning; gaussian process; traffic prediction; steel rolling/manufacturing
Interests: mobile robot SLAM/localisation; deep learning; gaussian process; traffic prediction; steel rolling/manufacturing
Faculty of Economics and Management, University of Szczecin, 70-453 Szczecin, Poland
Interests: decision making; multi criteria decision making; multiple-criteria decision analysis (MCDA); sustainability; digital sustainability
Interests: decision making; multi criteria decision making; multiple-criteria decision analysis (MCDA); sustainability; digital sustainability
Department of Computer Science at Stanford University, Stanford, CA 94305, USA
Interests: representation learning; reasoning; few-shot learning and causal learning; using tools from graph neural networks; information theory and physics
Interests: representation learning; reasoning; few-shot learning and causal learning; using tools from graph neural networks; information theory and physics
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
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 5UG, UK
Interests: materials engineering; engineering physics; acoustic engineering
Interests: materials engineering; engineering physics; acoustic engineering
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
