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Alexander E. I. Brownlee
Also published under:Alexander Edward Ian Brownlee, Alexander Brownlee, A. Brownlee, Alexander I. E. Brownlee
Affiliation
Computing Science and Mathematics, University of Stirling, Scotland, UK
Topic
Binary Format,CPU Time,CPU Usage,CSV File,Caching,Command Line,Command Line Options,Current Code,Current Point,Current Position,Current Segment,Deep Learning,Differences In Factors,End Of The Paper,Energy Consumption,Energy Efficiency,Energy Trade-off,Energy Use,Extra Step,Full Set Of Results,Function Calls,Fuzzy Logic,Fuzzy Rules,Fuzzy Set,Fuzzy System,Generalization Capability Of The Model,Genetic Improvement,Geometric Algorithm,Grid Search,Hidden Layer Size,Hyperparameter Configuration,Hyperparameter Tuning,IF-THEN Rules,Inference Stage,Interval Type-2,Interval Type-2 Fuzzy,Java Language,Java Programming,Knee Point,Land Subsidence,Local Point,Machine Learning,Map Matching Algorithm,Matching Model,Memory Usage,Multilayer Perceptron,Optimization Algorithm,Pareto Front,Part Of Program,Particle Swarm Optimization,
Biography
Alexander Edward Ian Brownlee received the B.S. and Ph.D. degrees in computing science from Robert Gordon University, Aberdeen, U.K., in 2005 and 2009, respectively.
He is a Senior Lecturer in the Division of Computing Science & Mathematics at the University of Stirling, where he leads the Data Science and Intelligent Systems research group. He has authored or coauthored more than 70 peer-reviewed papers in the areas of his interest and has worked with leading businesses including BT, KLM, and IES on industrial applications of his research. He reviews for several journals and conferences in evolutionary computation, civil engineering and transportation. His main research interests include search-based optimization methods and machine learning, applied to civil engineering, transportation and software engineering.
Dr. Brownlee is an Editorial Board Member for the journal Complex And Intelligent Systems. He has also cochaired several workshops and tutorials at Genetic and Evolutionary Computation Conference (GECCO), CEC, and Parellel Problem Solving from Nature (PPSN) on explainable AI and on genetic improvement of software.
He is a Senior Lecturer in the Division of Computing Science & Mathematics at the University of Stirling, where he leads the Data Science and Intelligent Systems research group. He has authored or coauthored more than 70 peer-reviewed papers in the areas of his interest and has worked with leading businesses including BT, KLM, and IES on industrial applications of his research. He reviews for several journals and conferences in evolutionary computation, civil engineering and transportation. His main research interests include search-based optimization methods and machine learning, applied to civil engineering, transportation and software engineering.
Dr. Brownlee is an Editorial Board Member for the journal Complex And Intelligent Systems. He has also cochaired several workshops and tutorials at Genetic and Evolutionary Computation Conference (GECCO), CEC, and Parellel Problem Solving from Nature (PPSN) on explainable AI and on genetic improvement of software.