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… typically over two years, which includes: Four core courses (12 credits) Course Name Artificial Intelligence and Machine Learning in Healthcare Principles of Health Informatics Computational Bioinformatics Research Methods and Ethics in …

… of Technology, Iraq 1986 Research Interests Broadband wireless access Lightweight security for wireless networks AI and Machine learning for wireless communication 6G & beyond systems Experience Professor College of Science and Engineering, Hamad …

… AI for time-series and tabular anomaly detection, generative image tasks, and privacy-preserving federated learning. He also develops quantum-enhanced frameworks integrating retrieval-augmented generation and reinforcement learning for large language models. He earned his PhD in computer science from KAIST, South Korea (2025), on a full … University of Leicester, UK 2014 BSc in Electrical Engineering UET Taxila, Pakistan 2012 Research Interests Quantum machine learning Quantum algorithms and complexity Quantum-enhanced federated and secure learning Quantum applications in …

… and challenges. Biology, 13 (1), 21. Aqel, S., Syaj, S., Al-Bzour, A., & others. (2023). Artificial intelligence and machine learning applications in sudden cardiac arrest prediction and management: A comprehensive review. Current Cardiology …

… He earned his PhD in Computer Science and Engineering from Hamad Bin Khalifa University, computer vision with a focus on learning from noisy labels and imbalanced data. His doctoral research applied interdisciplinary knowledge to real-world … web-based platforms for real-time image analysis and query capabilities. His research interests focus on multimodal deep learning, medical imaging, and AI-driven tools aimed at advancing healthcare diagnostics and education. Education PhD in … Gilal, N. U., Al-Thelaya, K., Al-Saeed, J. K., Abdallah, M., Schneider, J., She, J., & Agus, M. (2024). Evaluating machine learning technologies for food computing from a data set perspective. Multimedia Tools and Applications, 83(11), …

… et la Recherche en Informatique et Electronique (EERIE); Nîmes/France 1998 Research Interests Statistical and generative machine learning Representation learning Visual analytics Topological data analysis Experience Senior Scientist Qatar Computing … & Seo, J. (2025). Measuring the validity of clustering validation datasets. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1 , 1–14. Colange, B., Peltonen, J., Aupetit, M., Dutykh, D., & Lespinats, S. (2020). Steering …

… T, Kolatkar PR, Alajez NM (2022). Long non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches. Semin Cancer Biol. 25:S1044-579X(22)00124-9. Elango, R., Vishnubalaji, R., Shaath, H., & Alajez, N. …

… infants, toddlers, and school-aged children. Derived approaches will focus on utilizing advanced statistical methods, machine learning algorithms, and natural language processing to analyze multi-dimensional and multi-modal human-based data to … accessibility and reach, A-Sense prioritizes innovative technologies such as virtual reality, augmented reality, and e-learning platforms to deliver personalized interventions and education. Piloting, Commercialization, and Implementation …

… his PhD from the University of Trento, Italy, and has over a decade of experience in Artificial Intelligence, Deep/Machine Learning, Natural Language Processing, Social Media Content Analysis, Image Processing, and Conversational Analysis. He … 2007 Research Interests Generative AI Large language models (LLMs): Benchmarking native local and cultural alignment Machine Learning (Deep Learning) Natural Language Processing Speech Processing Affective behavioral signal processing …

… A., & Erbad, A. (2023). Data-driven participant selection and bandwidth allocation for heterogeneous federated edge learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53 (9), 5848–5860. Al-Maliki, S., Qayyum, A., Ali, H., Abdallah, M., Qadir, J., Hoang, D. T., Niyato, D., & Al-Fuqaha, A. (2024). Adversarial machine learning for social good: Reframing the adversary as an ally. IEEE Transactions on Artificial Intelligence. Albaseer, A., …