research units
Research Unit

Artificial Intelligence Research Unit (AI)

3Unit Members
9Research Interests

Unit Members

A/Prof. Dr. Zaid Abdul-Karim Al-Yasiri

President

A. Prof. Dr. Haider Mohammed Al-Ghanimi

Member

Hussam Mohammed Kadhim Al-Owaidi

Member

About the Unit

About the Research Unit

The Artificial Intelligence Research Unit (AI) is a multidisciplinary research center established at the University of Warith Al-Anbiyaa in 2023. It advances research, innovation, and entrepreneurship in artificial intelligence, robotics, evolutionary computation, data science, and biomedical applications. The center connects scientific research with practical implementation, develops the capabilities of students and researchers, and promotes collaboration with universities, government institutions, and industry at national and international levels

Vision

To become a leading Iraqi center in artificial intelligence and robotics and to contribute advanced technologies and innovative solutions that serve society and strengthen scientific and technological development.

Mission

To develop responsible and innovative AI applications, support multidisciplinary research, build capacity, and translate scientific outcomes into impactful solutions in Iraq and beyond.

Objectives

  • Conduct advanced research in machine learning, deep learning, robotics, and big-data analytics.
  • Translate laboratory research into deployable technologies and practical solutions.
  • Deliver training courses and workshops for students, researchers, and academic staff.
  • Strengthen research collaboration across university colleges and with national and international partners.
  • Support AI-based entrepreneurship, incubators, and innovation projects.
  • Organize scientific events, competitions, hackathons, and specialized conferences

Research Interests

Artificial Intelligence.Machine Learning and Deep Learning.Evolutionary Computation and Intelligent Optimization. Robotics.Computer Vision. Natural Language Processing.Data Science and Big-Data Analytics. Pattern Recognition.Signal and Image Processing. Brain-Computer Interfaces and EEG.Medical and Biomedical AI.Intelligent Cybersecurity.Internet of Things and Smart Systems

Unit Activity

College of Medicine: Medical image and signal analysis, clinical decision support systems, virtual laboratories, and medical data repository development.

College of Engineering: Design and process optimisation, robotics, predictive maintenance, and project and smart systems management.

College of Administration and Economics: Economic trend forecasting, business intelligence, and decision-making optimisation.

College of Law: Intelligent legal research, document and case analysis, and support for document preparation.

University Administration: Institutional data analysis, human resources, student services, and user experience enhancement.

Publications 2026

  1. Multi scale deep residual network for single image super-resolution using mean-std normalization and Bayesian hyperparameter optimization. Discover Computing 29(1), 75, 2026.
  2. Hybrid image encryption model based on Zernike moments keys generation and Rubik’s cube scrambling. IEEE Access, 2026.
  3. Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning. IEEE Journal of Biomedical and Health Informatics, 2026.
  4. Hybridizing of Multi-Objective Coronavirus Herd Immunity Optimizer with Lévy Flight for Time Scheduling of Internet of Things Appliances in Smart Homes. Mathematical and Computational Applications 31(4), 150, 2026.
  5. Memon, S., Alyasseri, Z. A. A., Farhan, M. K., Mohammed, M. A., Deveci, M., Marhoon, H. A., ... & Lakhan, A. (2026). A Deep Learning-Enabled Blockchain Framework for Drone-Based IoT Healthcare Workflow. Blockchain: Research and Applications, 100505.
  6. Whisper Speech Recognition Model for Pronunciation Improvement for Autistic Patients. Proceedings of the International Conference on Applied Innovations in IT, 2026.
  7. AEGIS-BCO: a federated graph-temporal intelligence framework with outcome-aware multi-criteria decision making for proactive cybersecurity against evolving DDoS threats. Journal of Computer Virology and Hacking Techniques 22(1), 46, 2026.
  8. Optimizing the cyber-physical intelligent transportation system network using enhanced models for data routing and task scheduling. Digital Communications and Networks, 2026, 12(1), pp. 210–222.
  9. Mathematical cognitive modelling enhanced by deep learning for understanding human decision making in complex sequential tasks. Journal of Interdisciplinary Mathematics, 2026, 29(4), pp. 1033–1044.
Publications 2025 
  1. Hyper clustering model for dynamic network intrusion detection. IET Communications 19(1), e12523, 2025.
  2. EEG channels selection for stroke patients rehabilitation using equilibrium optimizer. Journal of Intelligent Systems 34(1), 20240252, 2025.
  3. OptiGuard-GNN Cybersecurity Model: Leveraging Multi-Criteria Optimization and Graph Neural Networks for Enhanced Detection of Distributed Denial of Service Attacks. International Journal of Intelligent Engineering and Systems, 2025.
  4. Rehan, R., Sahran, S., Alyasseri, Z. A. A., Sani, N. S., & Al-Betar, M. A. (2025). Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection. Journal of Intelligent Systems, 34(1), 20240235.
  5. Hybrid white shark optimizer with differential evolution for training multi-layer perceptron neural network. Journal of Intelligent Systems 34(1), 20240362, 2025.
  6. Enhanced EEG Signal Classification for Autism Spectrum Disorder Using Riemannian Geometry and Ensemble Learning Techniques. Kufa Journal of Engineering 16(3), 176-198, 2025.
  7. A hybrid ABC-based online evolving spiking neural network for unsupervised anomaly detection in streaming data. PeerJ Computer Science 11, e3184, 2025.
  8. Multi-objective Markov-enhanced adaptive whale optimization (MOMEAWO) cybersecurity model for binary and multi-class malware cyberthreat classification. Journal of Electronic Science and Technology, 100334, 2025.
  9. WOA-COVID-19: Whale Optimization Algorithm for Selection of Multi-Examination Features based on COVID-19 Infections. Mesopotamian Journal of Computer Science 2025, 172-185, 2025.
  10. Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system. Alexandria Engineering Journal 110, 376, 2025.
  11. An Ensemble Cognitive Model for Stroke Prediction Using Unstructured Health Information Powered by Machine Learning. Journal of Machine and Computing , 2025, 5(1), pp. 611–621.
  12. An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development. Scientific Reports , 2025, 15(1), 27349.
  13. Applying the defense model to strengthen information security with artificial intelligence in computer networks of the financial services sector. Scientific Reports , 2025, 15(1), 30292.
  14. Multimodal Deep Learning Model for Measuring the Impact of Social Media Advertising Using Visual Linguistic Representation Learning. Journal of Machine and Computing, 2025, 5(4), pp. 2566–2573.
  15. Hatim, H. A., Alyasseri, Z. A. A., & Jamil, N. (2025). A recent advances on autism spectrum disorders in diagnosing based on machine learning and deep learning. Artificial Intelligence Review, 58(10), 313.
  16. Nuiaa Al Ogaili, R. R., Abdkhaleq, M. H. G., Rashid, A. F., Dashoor, Z. A., Alsaeedi, A. H., Alkareem Alyasseri, Z. A., & Manickam, S. (2025). FortifyGuard Cybersecurity Model: Fortifying Cybersecurity through an Enhanced Marine Predators Algorithm and Transformer-Based Approach for Advanced Malware Detection. International Journal of Intelligent Engineering & Systems, 18(4), 469.
  17. Alkaya, E. S., Al Ogaili, R. R. N., Alyasseri, Z. A. A., & Alnoor, A. (2025). Prioritizing network-on-chip routers for countermeasure techniques against flooding denial-of-service attacks: a fuzzy multi-criteria decision-making approach. Comput Model Eng Sci, 142(3).
  18. Al Ogaili, R. R. N., Raheem, O. A., Abdkhaleq, M. H. G., Alyasseri, Z. A. A., Alsaeedi, A. H., Muhsen, Y. R., & Manickam, S. (2025). AntDroidNet cybersecurity model: A hybrid integration of ant colony optimization and deep neural networks for android malware detection. Mesopotamian Journal of CyberSecurity, 5(1), 104-120.