Julien Albert

Julien Albert is a researcher within the Namur Digital Institute (NaDI) and the Research Center on Information Systems Engineering at the University of Namur. He completed his master’s degree in computer science with a data-science focus in 2020 and is active in explainable AI, recommender systems, and human–computer interaction.

Education:

• M.S. in Computer Science (data-science focus), University of Namur, 2020 – thesis on scientific-literature recommendation systems.

Research Interests:

Albert investigates how machine-learning decisions can be made transparent and trustworthy, with a particular emphasis on explainability for computer-vision models and fairness-aware personalized ranking. His work combines rigorous algorithmic development with human-centered empirical studies, bridging machine-learning research and interactive-systems design.

Recent publications reveal a clear strand on explainable AI (XAI): evaluating saliency-based explanations, designing human-in-the-loop studies, and accelerating interpretation of nonlinear embeddings. A parallel track focuses on recommender systems, exploring both explanation interfaces powered by large language models and bias-aware Bayesian ranking algorithms. A third emerging theme tackles civic technologies, studying requirements for idea-browsing tools on digital participation platforms.

He has (co-)supervised at least three master’s students and regularly participates in international venues such as the Francophone Conference on Human–Computer Interaction and the European Symposium on Artificial Neural Networks, indicating a growing footprint in the XAI and HCI communities.