Hakim HAFIDI

Dr. Hakim Hafidi , is currently an assistant professor at the International University of Rabat, holding a Ph.D. in data science from the Polytechnic Institute of Paris. His academic journey includes obtaining a Master's degree in Big Data from the International University of Rabat.

Dr. Hafidi's research interests focus on network science and deep learning, demonstrating his commitment to exploring the nuances of machine learning applications, particularly in graph-related domains.

1. PhD in Data Science from the Institut Polytechnique de Paris and the International University of Rabat in 2023, and a Master's degree in Big Data from the International University of Rabat in 2018.

1. "Negative sampling strategies for contrastive self-supervised learning of graph representations." Signal Processing 190 (2022): 108310.
2. "Graph-Assisted Bayesian Node Classifiers." IEEE Access 11 (2023): 23989-24002.
3. "Bayesian node classification for noisy graphs." 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021.