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 OverView
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Dr. Anas Quteishat received his B.Sc. in Electronic Engineering from Princess Sumaya University for ?Technology, Jordan in 2003. In 2005 he finished his M.Sc. in Electronic System Design from the ?University of Science Malaysia. He got his Ph.D. in 2009 in Computational Intelligence from the ?University of Science Malaysia. His research interests include artificial neural networks, pattern ?recognition, intelligent systems, and embedded systems. He has published many research papers in ?international journals. Currently is he is an asscosicate profeesor at Al Balqaa Applied University. He ?can be contacted at email: anas.quteishat@bau.edu.jo.?
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 Research Intersets:
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Machine learning, Optimization Algorithms, fuzzy systems
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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 | Universiti Sains Malaysia | Computer Engineering | 2009 | | 2 | MASTER DEGREE | Universiti Sains Malaysia | Electronic System Design | 2005 | | 3 | BACHELOR'S DEGREE | Princess Sumaya University for Technology | Electronic Engineering | 2003 |
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 Experiences
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Academic Experience:
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 2019 -Current :external reviewer,Oman Academic Accreditation Authority and Quality Assurance of Education,Oman.
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Administrative Experience:
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 2017 -2023 :Program Coordinator,Sohar University,Romania.
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 Publications
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1- Privacy-Preserving and Stochastic Energy Management of Multi-Microgrid Systems with Bidirectional Electric Vehicle Integration ,Renewable Energy Focus, 2026,Vol. ,no. .
2- Distributed and adaptive robust energy management of an active distribution network with multi-microgrid considering transactive energy ,Electric Power Systems Research, 2025,Vol. 28,no. .
3- Enhancing Medical Images Security and Efficiency With Adaptive
Compressed Sensing and SHA-3 in Telemedicine , International Journal of Biomedical Imaging, 2025,Vol. ,no. .
4- The impact of FDI and DoS cyber-attacks on the resilience of intrusion detection systems in a smart grid utilizing generative adversarial network ,Sustainable Energy, Grids and Networks, 2025,Vol. 43,no. .
5- A Non-Isolated Bidirectional DC?DC Converter for Electric Trains With Regenerative Braking Operation ,Journal of Electrical and Computer Engineering, 2025,Vol. 2025,no. 1.
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A stacking-based fault forecasting study for power transmission lines under different weather conditions ,Energy, 2024,Vol. 306,no. .
7- Predictive Modelling in Legal Decision-Making: Leveraging Machine Learning for Forecasting Legal Outcomes ,Journal of Electrical Systems, 2024,Vol. 20,no. 3.
8- Salp Swarm Algorithm-Based Fractional Order PID Controller
for Grid-Connected Hybrid Renewable Energy System ,Jordan Journal of Electrical Engineering, 2024,Vol. 10,no. 1.
9- Salp Swarm Algorithm-Based Fractional Order PID Controller for Grid-Connected Hybrid Renewable Energy System ,Jordan Journal of Electrical Engineering, 2024,Vol. 10,no. 4.
10- A fuzzy cloud theory-based stochastic model for multi-carrier energy hubs in grid-connected and islanded operations ,Electrical Engineering, 2024,Vol. https://link.springer.com/article/10.1007/s00202-024-02555-w,no. https://link.springer.com/article/10.1007/s00202-024-02555-w.
11- Exploring the role of ai in modern legal practice: Opportunities, challenges, and ethical implications ,Journal of Electrical Systems, 2024,Vol. 20,no. 6.
12- Strategic energy storage scheduling with fast acting demand side schemes to improve flexibility of hybrid renewable energy system ,Journal of Energy Storage, 2024,Vol. 92,no. .
13- Building a Predictive Model for Legal Studies through Ensemble Learning Techniques ,International Journal of Religion, 2024,Vol. 5,no. 2.
14- Stochastic energy management of a multi-microgrid system with battery/ supercapacitor energy storages considering demand response and transactive energy ,Renewable Energy Focus, 2024,Vol. 48,no. 1.
15- Optimal stochastic scheduling of a multi-carrier multi-microgrid system considering storages, demand responses, and thermal comfort ,Sustainable Cities and Society, 2023,Vol. 99,no. .
16- A short-term voltage stability online assessment based on multi-layer perceptron learning ,Electric Power Systems Research, 2023,Vol. 223,no. 1.
17- Stochastic restoration of distribution networks with high penetration of solar PV systems through a generic switching order mechanism ,Electric Power Systems Research, 2023,Vol. 223,no. .
18- Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model ,Energies, 2023,Vol. 16,no. 4.
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 University Courses Taught
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1- Digital Electronics.
2- artificial intelligence.
3- Digital logic design.
4- computer architecture.
5- introduction to programming.
6- electrical circuits.
7- embedded systems.
8- microprocessor systems.
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 Books
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Book Name
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Publisher Name
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Year
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| 1 | Innovations in Intelligent Machines | Springer? | 2007 |
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