Majdoulayne HANIFI

Majdoulayne HANIFI , Assistant Professor at UIR and member of TIClab. She obtained a Ph.D. in Computer Science and Telecommunications from Mohammed V University in Rabat and Paul Sabatier University in Toulouse. Her research focuses on Machine Learning. She teaches courses on web engineering, relational information system modeling, and object-oriented modeling.

1. Bachelor's degree in ES (Exact Sciences) at the Faculty of Sciences, Rabat, Mohammed V University - Agdal.
2. Advanced Graduate Diploma in IT (Computer Science and Telecommunications) at the Faculty of Sciences, Rabat, Mohammed V University.
3. Ph.D. in Computer Science and Telecommunications from Mohammed V University in Rabat and Paul Sabatier University in Toulouse.

1. Mouad Rahmouni, Ouassim Karrakchou, Majdoulayne Hanifi, Claudio Savaglio and Giancarlo Fortino, Mounir Ghogho, “A Unified Optimization Framework for Kafka-based AIoT Stream Processing”, IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium, 9–13 June 2024, Denver, CO, USA   
2. Hamza Elkhoukhi, Mohamed Bakhouya, Majdoulayne Hanifi, Driss ElOuadghiri, “Using Stream Data Processing for Real-Time Occupancy Detection in Smart Building”, Sensors 2022, 22, 2371.    
3. H. Elkhoukhi, Y. NaitMalek, M. Bakhouya, A. Berouine, A. Kharbouch, F. Lachhab, M. Hanifi, D. Elouadghiri, M. Essaaidi, “A platform Architecture for Occupancy Detection using Stream Processing and Machine Learning Approaches”, CCPE Journal, 2020, https://doi.org/10.1002/cpe.5651 https://doi.org/10.3390/s22062371

• HTML, CSS et Javascript  
• UML 
• Architecture des ordinateurs