- Multi-Criteria Decision Making
- Metaheuristic Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Sustainable Supply Chain Management
- Anomaly Detection Techniques and Applications
- Advanced Multi-Objective Optimization Algorithms
- Solar Radiation and Photovoltaics
- Network Security and Intrusion Detection
- COVID-19 diagnosis using AI
- Optimization and Mathematical Programming
- Optimization and Packing Problems
- Photovoltaic System Optimization Techniques
- Blockchain Technology Applications and Security
- Evolutionary Algorithms and Applications
- Advanced Malware Detection Techniques
- Advanced Manufacturing and Logistics Optimization
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
- Context-Aware Activity Recognition Systems
- Supply Chain Resilience and Risk Management
- Energy and Environment Impacts
- Economic and Technological Innovation
- Cognitive Science and Mapping
- Solar Thermal and Photovoltaic Systems
Zagazig University
2016-2024
Kuwait Petroleum Corporation (Kuwait)
2024
Schlumberger (British Virgin Islands)
2015-2021
ORCID
2019
Internet of Things (IoT) has gain the importance with growing applications in fields ubiquitous and context-aware computing. In IoT, anything can be a portion it, whether it is unintelligent objects or sensor nodes; thus extremely different kinds services developed. this regard, data storage, resource management, service creation discovery, power management would facilitate advanced mechanism much better infrastructure. Cloud computing fog play an important role when quantity information IoT...
Every organization seeks to set strategies for its development and growth do this, it must take into account the factors that affect success or failure. The most widely used technique in strategic planning is SWOT analysis. examines strengths (S), weaknesses (W), opportunities (O) threats (T), select implement best strategy achieve organizational goals. chosen should harness advantages of opportunities, handle weaknesses, avoid mitigate threats. analysis does not quantify (i.e., strengths,...
To improve the quality of service (QoS) needed by several applications areas, Internet Things (IoT) tasks are offloaded into fog computing instead cloud. However, availability ongoing energy heads for servers is one constraints IoT because transmitting huge quantity data generated using devices will produce network bandwidth overhead and slow down responsive time statements analyzed. In this article, an energy-aware model basis on marine predators algorithm (MPA) proposed tackling task...
Many countries are challenged by the medical resources required for COVID-19 detection which necessitates development of a low-cost, rapid tool to detect and diagnose virus effectively large numbers tests. Although chest X-Ray scan is useful candidate images generated scans must be analyzed accurately quickly if tests processed. causes bilateral pulmonary parenchymal ground-glass consolidative opacities, sometimes with rounded morphology peripheral lung distribution. In this work, we aim...
With the integration of Internet Things (IoT) in field transportation, Vehicles (IoV) turned to be a vital method for designing Smart Transportation Systems (STS). STS consist various interconnected vehicles and transportation infrastructure exposed cyber intrusion due broad usage software initiation wireless interfaces. This study proposes federated deep learning-based detection framework (FED-IDS) efficiently detect attacks by offloading learning process from servers distributed vehicular...
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration the proposed is light dispersions with different angles while passing through rain droplets, causing meteorological phenomenon of colorful rainbow spectrum. In order to validate algorithm, three experiments are conducted. First, LSO tested on solving CEC 2005, and obtained results compared wide range well-regarded...