Nada SBIHI , is an assistant professor at UIR and a member of the TIClab. She obtained her PhD from the Université Pierre et Marie Curie (Paris 6). Her doctoral studies were conducted at INRIA. Her research areas include Big Data and artificial intelligence and their applications in various fields such as intelligent transportation, social networks, content-oriented networks, urban pollution, and health.
- 2010-2014: PhD in Computer Science from Université Pierre et Marie Curie – Paris. Topic: "Traffic Management in Content-Oriented Networks," supervised by Dr. James Roberts (James.Roberts@inria.fr), with High Honors
- 2009-2010: Research Master's in Computer Science, Université Pierre et Marie Curie in collaboration with Télécom ParisTech - Paris, France.
- 2003-2006: State Engineer Diploma from the National Institute of Posts and Telecommunications (INPT), specializing in Computer Science, Networks, and Systems, Rabat
- 2001-2003: Preparatory classes for engineering schools (MPSI), Lycée Moulay Youssef, Rabat. (exempted from the oral part of the common entrance exam)
- 2001: Baccalaureate in Mathematical Sciences, with Honors, Lycée Charif al Idrissi, Rabat
- Artificial Intelligence: Data analysis, sentiment analysis, machine learning, deep learning, knowledge graph, natural language processing
- Content-Oriented Networks: Distributed computing, cache management
- El Haji, H., Souadka, A., Patel, B. N., Sbihi, N., Ramasamy, G., Patel, B. K., ... & Banerjee, I. (2023). Evolution of Breast Cancer Recurrence Risk Prediction: A Systematic Review of Statistical and Machine Learning–Based Models. JCO Clinical Cancer Informatics, 7, e2300049.
- Moukafih, Y., Sbihi, N., Ghogho, M., & Smaili, K. (2023). SuperConText: Supervised Contrastive Learning Framework for Textual representations. IEEE Access, 11, 16820-16830.
- Rahhal, I., Khaouja, I., Carley, K. M., Kassou, I., & Sbihi, N. (2022, November). Analyzing The Impact of COVID-19 on the Moroccan Job Market by Mining Job Ads. In 2022 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) (pp. 1-7). IEEE.
- Rahhal, I., Carley, K., Ismail, K., & Sbihi, N. (2022, March). Education path: Student orientation based on the job market needs. In 2022 IEEE Global Engineering Education Conference (EDUCON) (pp. 1365-1373). IEEE.
- Moukafih, Y., Ghanem, A., Abidi, K., Sbihi, N., Ghogho, M., & Smaïli, K. (2022, February). Simscl: A simple fully-supervised contrastive learning framework for text representation. In Australasian Joint Conference on Artificial Intelligence (pp. 728-738). Cham: Springer International Publishing.
- Data Mining
- Technologies Big Data
- Analyse de données