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Laith Abualigah
Also published under:Laith Mohammad Abualigah, Laith M. Abualigah
Affiliation
Computer Science Department, Al al-Bayt University, Mafraq, Jordan
Topic
Machine Learning,Support Vector Machine,Convolutional Neural Network,Optimization Algorithm,Decision Tree,K-nearest Neighbor,Random Forest,Learning Algorithms,Machine Learning Techniques,Neural Network,Optimization Problem,Performance Metrics,Deep Learning,Exploitation Phase,Logistic Regression,Objective Function,Artificial Neural Network,Exploration Phase,Gradient Boosting,Photovoltaic System,Precision And Recall,Whale Optimization Algorithm,Confusion Matrix,Decision Tree Algorithm,Machine Learning Models,Mean Square Error,Metaheuristic,Road Accidents,Root Mean Square Error,Training Set,Accuracy Scores,Adams Bashforth,Adaptive Neuro-fuzzy Inference System,Arithmetic Optimization Algorithm,Artificial Intelligence Models,Cardiovascular Disease,Classification Accuracy,Cloud Computing,Collocation Method,Comparative Method,Computer Vision,Decision Tree Classifier,Deep Neural Network,Deviation Of Area,Differential Equations,Engineering Problems,Ensemble Model,Extraction Parameters,F1 Score,Fitness Function,
Biography
Laith Abualigah received the degree in computer information system and the master’s degree in computer science from Al-Albayt University, Jordan, in 2011 and 2014, respectively, and the Ph.D. degree from the School of Computer Science, Universiti Sains Malaysia (USM), Malaysia, in 2018. He is currently an Associate Professor with the Prince Hussein Bin Abdullah College for Information Technology, Al Al-Bayt University, Jordan. He is also a Distinguished Researcher with the School of Computer Science, Universiti Sains Malaysia, Malaysia. According to the report published by Clarivate, he is one of the highly cited researchers, in 2021 and 2022, and the 1% influential researchers, which depicts the 6,938 top scientists in the world. And, he is the first researcher in the domain of computer science in Jordan, in 2021. According to the report published by Stanford University, in 2020, he is one of the 2% influential scholars, which depicts the 100,000 top scientists in the world. He has published more than 350 journal articles and books, which collectively have been cited more than 12,500 times (H-index = 53). His main research interests include arithmetic optimization algorithm (AOA), bio-inspired computing, nature-inspired computing, swarm intelligence, artificial intelligence, meta-heuristic modeling, optimization algorithms, evolutionary computations, information retrieval, text clustering, feature selection, combinatorial problems, optimization, advanced machine learning, big data, and natural language processing. He currently serves as an Associate Editor for the Cluster Computing (Springer), the Soft Computing (Springer), and the Engineering Applications of Artificial Intelligence (Elsevier).