I'm an Associate Professor at Paris Cité University, affiliated with the BioSTM Lab and Paris Faculty of Pharmacy. My research focuses on building machine learning models that can emulate the brain’s remarkable ability to adapt to changing environments and tasks — primarily through Domain Adaptation and Transfer Learning. I place particular emphasis on Optimal Transport Theory, which offers a geometrically grounded framework for modeling, computation, and theoretical guarantees.
I’ve recently been paying particular attention to applications in genetics, where these approaches can help shed light on the complexity of biological processes through data-driven methods. Prior to my current appointment, I held the role of Assistant Professor at Sorbonne Paris Nord University. Preceding this, I completed a Ph.D. and a Master's degree in Machine Learning from Sorbonne Paris Nord University. Furthermore, I hold Master's and Bachelor's degrees in Applied Mathematics from Fez Faculty of Science.Most recent publications on Google Scholar.
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Machine Learning for the Prediction of Size and Encapsulation Efficiency of mRNA-Loaded Lipid Nanoparticles Following a Postencapsulation Approach
Joanna Duffrène, Milena Guimarães Dos Santos, Mourad El Hamri, Hélène Dhôtel, Luis Castillo-Henríquez, Magalie Claeys, Yves Rozenholc, Nathalie Mignet, Khair Alhareth
ACS Applied Bio Materials. 2025
McCann’s Interpolation for Gradual Domain Adaptation on the Wasserstein Geodesic
Mourad El Hamri, Issam Falih, Yves Rozenholc
IJCNN'25: IEEE International Joint Conference on Neural Networks. 2025
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
Machine Learning Journal. 2025
Hierarchical Representation for Multi-Source Domain Adaptation Using Wasserstein Barycenter
Mourad El Hamri, Issam Falih, Yves Rozenholc
ICMLA'24: International Conference on Machine Learning and Applications. 2024
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation
Mourad El Hamri, Younès Bennani, Issam Falih
International Journal of Neural Systems. 2024
Structural Optimal Transport for Domain Adaptation with Theoretical Guarantees
Mourad El Hamri
Ph.D. Thesis.
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Mourad El Hamri, Younès Bennani, Issam Falih
Machine Learning Journal. 2022
Incremental Unsupervised Domain Adaptation Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
WCCI/IJCNN'22: World Congress on Computational Intelligence/IEEE International Joint Conference on Neural Networks. 2022
When Domain Adaptation Meets Semi-Supervised Learning Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
AIAI'22: IFIP International Conference on Artificial Intelligence Applications & Innovations. 2022
An Optimal Transport Framework for Collaborative Multi-View Clustering
Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri
Book chapter in Recent Advancements in Multi-View Data Analytics. 2022
Inductive Semi-supervised Learning Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
ICONIP'21: International Conference on Neural Information Processing. 2021
Apprentissage semi-supervisé transductif basé sur le transport optimal
Mourad El Hamri, Younès Bennani, Issam Falih
CIFSD'21: Conférence Internationale Francophone sur la Science des Données. 2021
Label Propagation Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
IJCNN'21: IEEE International Joint Conference on Neural Networks. 2021
Multi-view Clustering Through Optimal Transport
Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri
Australian Journal of Intelligent Information Processing Systems. 2019
Machine Learning for the Prediction of Size and Encapsulation Efficiency of mRNA-Loaded Lipid Nanoparticles Following a Postencapsulation Approach
Joanna Duffrène, Milena Guimarães Dos Santos, Mourad El Hamri, Hélène Dhôtel, Luis Castillo-Henríquez, Magalie Claeys, Yves Rozenholc, Nathalie Mignet, Khair Alhareth
ACS Applied Bio Materials. 2025
McCann’s Interpolation for Gradual Domain Adaptation on the Wasserstein Geodesic
Mourad El Hamri, Issam Falih, Yves Rozenholc
IJCNN'25: IEEE International Joint Conference on Neural Networks. 2025
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
Machine Learning Journal. 2025
Hierarchical Representation for Multi-Source Domain Adaptation Using Wasserstein Barycenter
Mourad El Hamri, Issam Falih, Yves Rozenholc
ICMLA'24: International Conference on Machine Learning and Applications. 2024
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation
Mourad El Hamri, Younès Bennani, Issam Falih
International Journal of Neural Systems. 2024
Structural Optimal Transport for Domain Adaptation with Theoretical Guarantees
Mourad El Hamri
Ph.D. Thesis.
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Mourad El Hamri, Younès Bennani, Issam Falih
Machine Learning Journal. 2022
Incremental Unsupervised Domain Adaptation Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
WCCI/IJCNN'22: World Congress on Computational Intelligence/IEEE International Joint Conference on Neural Networks. 2022
When Domain Adaptation Meets Semi-Supervised Learning Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
AIAI'22: IFIP International Conference on Artificial Intelligence Applications & Innovations. 2022
An Optimal Transport Framework for Collaborative Multi-View Clustering
Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri
Book chapter in Recent Advancements in Multi-View Data Analytics. 2022
Inductive Semi-supervised Learning Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
ICONIP'21: International Conference on Neural Information Processing. 2021
Apprentissage semi-supervisé transductif basé sur le transport optimal
Mourad El Hamri, Younès Bennani, Issam Falih
CIFSD'21: Conférence Internationale Francophone sur la Science des Données. 2021
Label Propagation Through Optimal Transport
Mourad El Hamri, Younès Bennani, Issam Falih
IJCNN'21: IEEE International Joint Conference on Neural Networks. 2021
Multi-view Clustering Through Optimal Transport
Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri
Australian Journal of Intelligent Information Processing Systems. 2019
To teach is to learn twice over- Joseph Joubert
I mostly teach statistics and machine learning at Paris Cité University:
Among others, I have TA'd the following courses at Sorbonne Paris Nord University:
Full Resume in French: PDF.
My academic genealogy, traced through advisor relationships in reverse chronological order, spans 17 generations over a period of 370 years.