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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, power systems, scheduling Algorithms
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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 | Electrical 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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 2025 -Current :Head of Department of Communication and Computer Engineering,Al-Ahlyyia Private University,Jordan.
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. 56,no. .
2- An LSTM architecture for real-time multi-domain stability boundary prediction beyond post-fault dependency in power systems ,scientific reports, 2026,Vol. 2026,no. .
3- LCE-AIoT : A lightweight cryptographic algorithm for resourceconstrained AIoT devices ,Journal of Discrete Mathematical Sciences and Cryptography, 2025,Vol. 28,no. 8.
4- Noise-resilient deep learning-based CNN for static voltage stability analysis in power systems with wind farm integration ,International Journal of Dynamics and Control, 2025,Vol. 2026,no. .
5- 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. .
6- Enhancing Medical Images Security and Efficiency With Adaptive
Compressed Sensing and SHA-3 in Telemedicine , International Journal of Biomedical Imaging, 2025,Vol. ,no. .
7- 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. .
8- 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. .
10- Predictive Modelling in Legal Decision-Making: Leveraging Machine Learning for Forecasting Legal Outcomes ,Journal of Electrical Systems, 2024,Vol. 20,no. 3.
11- 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.
12- 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.
13- A fuzzy cloud theory-based stochastic model for multi-carrier energy hubs in grid-connected and islanded operations ,Electrical Engineering, 2024,Vol. 107,no. .
14- Exploring the role of ai in modern legal practice: Opportunities, challenges, and ethical implications ,Journal of Electrical Systems, 2024,Vol. 20,no. 6.
15- 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. .
16- Building a Predictive Model for Legal Studies through Ensemble Learning Techniques ,International Journal of Religion, 2024,Vol. 5,no. 2.
17- 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.
18- 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. .
19- A short-term voltage stability online assessment based on multi-layer perceptron learning ,Electric Power Systems Research, 2023,Vol. 223,no. 1.
20- 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. .
21- Intelligent Arabic letters speech recognition system based on mel frequency cepstral coefficients
,International Journal of Electrical and Computer Engineering (IJECE), 2023,Vol. 13,no. 3.
22- Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model ,Energies, 2023,Vol. 16,no. 4.
23- A hybrid Robust-Stochastic optimization model for planned outage based Day-Ahead scheduling of a Plug-in electric vehicles parking lot ,Sustainable Energy Technologies and Assessments, 2022,Vol. 54,no. .
24- Participation of Electric Vehicles in a Delay-Dependent Stability Analysis of LFC Considering Demand Response Control ,Electronics, 2022,Vol. 11,no. 22.
25- Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method. ,Intelligent Automation & Soft Computing, 2022,Vol. 35,no. 2.
26- Selection of Wind Turbine Systems for the Sultanate of Oman. ,Computer Systems Science and Engineering, 2022,Vol. 45,no. 1.
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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.
9- Visual Basic Programming.
10- embedded systems lab.
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 Master and Phd thesis contributions
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Thesis Supervision
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A Computer Vision and Deep Learning-Based Driver Behavior Monitoring Model ,Al-Ahliyya Amman University,Master Thesis,2026.
Enhanced Facial Emotional Recognition Using Deep Learning Algorithms ,Al-Ahliyya Amman University,Master Thesis,2026.
Analysis of Power System Flexibility in the Presence of Renewable Energy Resources and Compressed Air Storage Units ,Azarbaijan Shahid Madani University,Phd Thesis,2025.
Modeling and Assessment of Static and Dynamic Security in Power Systems Using Deep Learning-Based Algorithms ,Azarbaijan Shahid Madani University,Phd Thesis,2025.
Optimal Scheduling of Integrated Energy System Including Active Distribution Network and District Heating Network ,Azarbaijan Shahid Madani University,Phd Thesis,2025.
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Thesis Defense Committee Membership
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Resilient DDoS Mitigation Strategies for SDN Controllers ,Al-Ahliyya Amman University,Master Thesis,2026.
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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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