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Qasem Al-Tashi
Also published under:Qasem Al-tashi
Affiliation
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Topic
Optimization Algorithm,Benchmark Functions,Binary Optimization,Computed Tomography,Computed Tomography Images,Computer-aided Diagnosis,Exploitation Phase,Feature Selection Problem,Federated Learning,Fitness Function,Low-dose Computed Tomography,Machine Learning,Medical Imaging,Premature Convergence,Root Mean Square Error,Well-known Algorithms,Absorption Of Radiation,Acceleration Coefficients,Acquisition Process,Adaptive Mutations,Advanced Deep Learning Techniques,Analysis Of Variance Test,Ancillary Services,Angular Speed,Ant Colony Optimization,Arithmetic Optimization Algorithm,Artifacts In Regions,Artificial Intelligence,Artificial Intelligence In Healthcare,Artificial Intelligence Methods,Artificial Intelligence Models,Artificial Intelligence Systems,Autoencoder,Average Accuracy,Average Fitness,Bat Algorithm,Batch Normalization,Batch Normalization Layer,Benchmark Test,Binary Algorithm,Binary Optimization Algorithm,Binary Problem,Characteristics Of Cases,Classification Accuracy,Cloud Computing,Comparative Method,Computed Tomography Scan Images,Computer-aided Diagnosis System,Continuous Values,Control Strategy,
Biography
Qasem Al-Tashi received the B.Sc. degree in software engineering from Universiti Teknologi Malaysia (UTM), in 2012, the M.Sc. degree in software engineering from Universiti Kebangsaan Malaysia (UKM), in 2017, and the Ph.D. degree in information technology from Universiti Teknologi PETRONAS, in 2021. He was a Research Scientist with Universiti Teknologi PETRONAS and a Postdoctoral Fellow with the MD Anderson Cancer Center, The University of Texas, Houston, TX, USA, where he is currently a Research Investigator with the Department of Physics, MD Anderson Cancer Center. His research interests include feature selection, swarm intelligence, biomarker discovery, survival analysis, multi-objective optimization, and artificial intelligence in healthcare. He is an Editor of the Journal of Applied Artificial Intelligence (JAAI) and the Journal of Information Technology and Computing (JITC). He is a Reviewer of several high-impact factor journals, such as Artificial Intelligence Review, IEEE Access, Knowledge-Based Systems, Soft Computing, Journal of Ambient Intelligence and Humanized Computing, Applied Soft Computing, Neurocomputing, Applied Artificial Intelligence, and PLOS One.