Essam H. Houssein
Faculty of Computers and Information, Minia University
Research areas: Computer Science · Artificial Intelligence · Metaheuristic Optimization Algorithms Research · Advanced Multi-Objective Optimization Algorithms · Artificial Immune Systems Applications
About
Essam H. Houssein (Member, IEEE) received Ph.D. degree in computer science, in 2012. He is currently a Professor of Artificial Intelligence at the Faculty of Computers and Information, Minia University, Minia, Egypt. He is the founder and chair of the Artificial Intelligence Research (AIR) Group, Egypt. He is selected as a Highly Cited Researcher 2023, in 2024 Edition of the Ranking of Top Scientists in the field of Computer Science. He has published more than 240 scientific research articles in prestigious international journals. His research interests include Meta-heuristics Optimization Algorithms, Artificial Intelligence, WSN, Bioinformatics, Internet of Things, Artificial Intelligence, Image Processing, and Data Mining. He serves as a reviewer for more than 120 journals, such as Elsevier, Springer, and IEEE.
Employment
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Faculty of Computers and Information, Minia University
Education
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Faculty of Computers and Information, Minia University2015 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (237)
- HAURRT*smart: A rapidly exploring pseudo-random tree algorithm with low redundancy Save
- MetaImClust: Automatic Crisp Clustering using Eminent Metaheuristics for Image Segmentation Save
- AFoCo: Ambiguous Focus and Correction for Semi-Supervised Medical Image Segmentation Save
- Diabetes challenges and promising solutions based on the internet of medical things, blockchain, and artificial intelligence: A systematic literature review Save
- An enhanced educational competition optimizer and feedforward neural networks for automatic seizure detection in EEG signals Save
- Fourier transform optimizer: A novel physics-inspired metaheuristic algorithm for optimization problems Save
- Competitive differential evolution with success-failure adaptation mechanism: performance benchmarking and application in eggplant disease diagnosis Save
- Integrated Deep Learning Based Optimization Algorithms for Medical Data: Fundamentals, Challenges, and Future Perspectives Save
- An efficient explainable deep learning model for multiclass classification of gynecological cancers Save
- Dynamic multi-objective optimization using historical evolutionary learning with global alignment local descriptor matching and collaborative guidance Save
- DOVE-FELM: A fusion-optimized feature selection and heterogeneous ensemble learning framework for early prediction of chronic kidney disease risk Save
- Multi-objective differential evolution algorithm integrating a directional generation mechanism for multi-objective optimization problems Save
- Integrated deep learning-based IRACE and convolutional neural networks for chest X-ray image classification Save
- PDPSO: Priority-driven search particle swarm optimization with dynamic candidate solutions management strategy for solving higher-dimensional complex engineering problems Save
- A novel dynamic Nelder-based Electric Eel Foraging algorithm for global optimization and pathological colorectal cancer image segmentation Save
- EATHOA: Elite-evolved hiking algorithm for global optimization and precise multi-thresholding image segmentation in intracerebral hemorrhage images Save
- Enhanced crested ibis algorithm: Performance validation in benchmark functions, engineering problems, and application in brain tumor detection Save
- Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm Save
- Computer-aided diagnosis system for predicting liver cancer disease using modified Genghis Khan Shark Optimizer algorithm Save
- Under complex wind scenarios: Considering large-scale wind turbines in wind farm layout optimization via self-adaptive optimal fractional-order guided differential evolution Save