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OverView
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Dheeb Albashish received a Ph.D. degree for his work in the area of ensemble and features selection for medical images in 2017 at the UKM, Malaysia. He is currently an Associate Professor in the Department of Computer Science, Al-Balqa Applied University, Jordan. His main current areas are machine learning, optimization, image processing, feature selection, deep learning and IoT.
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Research Intersets:
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Dheeb Albashish received a Ph.D. degree for his work in the area of ensemble and features selection for medical images in 2017 at the UKM, Malaysia. He is currently an Associate Professor in the Department of Computer Science, Al-Balqa Applied University, Jordan. His main current areas are machine learning, optimization, image processing, feature selection, deep learning and IoT.
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Qualifications
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Degree
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University
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Specialization
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Graduation year
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| 1 | PHD | Kebangsaan University | Computer science | 2017 | | 2 | MASTER DEGREE | University of Jordan | COMPUTER SCIENCE | 2005 | | 3 | BACHELOR'S DEGREE | United Arab Emirates University | COMPUTER SCIENCE | 2000 |
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Publications
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1- Hyperparameter optimization of convolutional neural networks using particle swarm optimization for diabetic retinopathy detection , PeerJ Computer Science, 2025,Vol. 37,no. 1. 2- Advancements in global optimization with an empowered capuchin search algorithm ,Neural Computing and Applications, 2025,Vol. 37,no. 1. 3- EB-CNN: Ensemble of branch convolutional neural network for image classification ,Pattern Recognition Letters, 2025,Vol. 189,no. 1. 4- Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection , International Journal of Machine Learning and Cybernetics , 2024,Vol. 1,no. 1. 5- Enhanced meta?heuristic methods for industrial winding process modelling ,Expert Systems:, 2024,Vol. 1,no. 1. 6- Ensemble of Deep Features for Breast Cancer Histopathological Image Classification. ,The Computer Journal, 2024,Vol. 67,no. 6. 7- An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models ,Computers and Electrical Engineering, 2023,Vol. 111,no. 1. 8- An augmented Snake Optimizer for diseases and COVID-19 diagnosis ,Biomedical Signal Processing and Control, 2023,Vol. 84,no. 1. 9- Novel hybrid of AOA-BSA with double adaptive and random spare for global optimization and engineering problems ,Alexandria Engineering Journal, 2023,Vol. 73,no. 15. 10- Optimization of K-means clustering method using hybrid capuchin search algorithm. , The Journal of Supercomputing, 2023,Vol. 80,no. 6. 11- Memory-Based Sand Cat Swarm Optimization for Feature Selection in Medical Diagnosis
,Electronics, 2023,Vol. 12,no. 19. 12- Weighted heterogeneous ensemble for the classification of intrusion
detection using ant colony optimization for continuous search spaces ,Soft Computing, 2022,Vol. 27,no. 1.
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University Courses Taught
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1- Artificial intelligence. 2- machine learning. 3- pattern recognition and clustering. 4- object oriented programming. 5- java programming. 6- data mining. 7- information retrieval. 8- programming for science students. 9- research methodologies. 10- numerical methods.
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Master and Phd thesis contributions
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Thesis Supervision
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Convolutional neural networks utilizing a particle swarm optimization for Diabetic Retinopathy Classification ,The National University of Malaysia,Phd Thesis,2025.
Deep Learning Framework for Images Classification with pretrained networks ,Al-Balqa Applied University,Master Thesis,2020.
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Thesis Defense Committee Membership
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Salp Swarm algorithms for user behavior in cloud environment ,University of Jordan,Master Thesis,2024.
Load balancing in cloud environment based on modified Gery wolf optimizer ,University of Jordan,Master Thesis,2024.
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Projects
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A heterogeneous ensemble based on ACOR generated weights, for intrusion detection systems ,Al-balqa Applied University,2021/01-2023/03.
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* المساهمة في خدمة المجتمع المحلي في اليوم العلمي.
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Refrences
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Prof. Dr. Shahnorbanun Sahran-UKM Malaysia ,Shahorbanun@ukm.edu.My.
Prof. Dr. Resiq Alsaied-university of Jordan ,r.alsayyed@ju.edu.jo.
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