Dr. Younes Wadiai | Spectroscopy | Best Researcher Award
Dr. Younes Wadiai | Spectroscopy | Professor at Abdelmalek Essaâdi University | Morocco
Dr. Younes Wadiai is a distinguished Professor of Cybersecurity with extensive expertise in machine learning, deep learning, artificial intelligence, and cybersecurity applications, whose research bridges theoretical innovation with practical solutions for intrusion detection, predictive system modeling, and cloud-based threat mitigation. He earned his Ph.D. in Computer Science and has consistently contributed to advancing cybersecurity and AI-driven solutions through active participation in international collaborative projects. Dr. Younes Wadiai has been instrumental in leading research initiatives at the TIAD Laboratory, Sultan Moulay Slimane University, Morocco, focusing on intelligent system design for stability assessment, real-time threat detection, and automation of cybersecurity processes. His professional experience spans multiple interdisciplinary projects that integrate AI and cybersecurity methodologies to enhance system resilience and operational efficiency. Dr. Younes Wadiai’s research interests include developing generative adversarial network (GAN) models to address data scarcity, designing decision-support systems for information system attacks, and creating predictive analytics tools for industrial and healthcare applications. He has demonstrated significant research skills in designing machine learning architectures, implementing neural network-based intrusion detection systems, and leveraging semi-supervised learning approaches for real-world datasets. Dr. Younes Wadiai has authored and co-authored multiple publications in reputed journals and conferences such as the International Journal of Advanced Computer Science and Applications, Journal of Theoretical and Applied Information Technology, and IEEE-aligned conferences, reflecting his growing scholarly impact with a total of 27 citations, h-index of 2, and i10-index of 1. He is actively engaged in mentoring students, organizing international conferences, and fostering cross-institutional research collaborations. His leadership and contributions to the academic community are further strengthened by his involvement in professional networks and memberships in recognized technical societies.
Academic Profile: Scopus | Google Scholar
Featured Publications:
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El Mourabit, Y., El Habouz, Y., Zougagh, H., & Wadiai, Y. (2020). Predictive system of semiconductor failures based on machine learning approach. International Journal of Advanced Computer Science and Applications. Citations: 18
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Wadiai, Y., & Baslam, M. (2022). Machine learning approach to automate decision support on information system attacks. International Conference on Business Intelligence, 71–81. Citations: 2
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Wadiai, Y., El Mourabit, Y., & Baslam, M. (2020). Machine learning for intrusion detection: Design and implementation of an IDS based on artificial neural network. International Conference on Innovations in Bio-Inspired Computing. Citations: 2
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Wadiai, Y., El Mourabit, Y., Baslam, M., & Nassiri, B. (2023). Real-time cloud-based automation for cyber threats detection and mitigation with machine learning models. Journal of Theoretical and Applied Information Technology, 101(22).