Hanae Abbassi holds a Ph.D. in Computer Science and Engineering from the National School of Applied Sciences (ENSA) at Ibn Tofail University in Kenitra, Morocco, where she also earned her Master’s degree in Information Systems Security. Her research focuses on real-time fraud detection in digital banking systems, ML, DL, Big data analytics, federated learning, Quantum AI, and data privacy. She has authored several peer-reviewed publications in international journals such as IJACSA, Engineering Research Express, and the HighTech and Innovation Journal, and has presented her work at renowned international conferences including IEEE CiSt, ICOA, FiCloud, and IRASET. Her recent contributions explore hybrid architectures that combine unsupervised learning, federated models, and quantum neural networks to enhance cybersecurity in financial systems. She is also actively engaged in integrating blockchain technologies and interpretable AI for secure and intelligent fraud detection.