Bilal FAYE

2025 – 2026 · ATER – Sorbonne Paris Nord University, France

University Institute of Technology (IUT), Villetaneuse · LIPN Laboratory, UMR CNRS 7030

Currently working as a Temporary Teaching and Research Attaché (ATER), teaching undergraduate and graduate courses in computer science and AI. I supervise student projects, contribute to course design, and continue research within the LIPN laboratory on machine learning and multimodal AI.

2022 – 2025 · PhD in Computer Science

Sorbonne Paris Nord University · LIPN, UMR CNRS 7030, France

Thesis Title:

Integrating Prior Knowledge for Neural Network Efficiency: Advances in Normalization, Multimodal Representation and Alignment, and a Modular Framework for Open-Vocabulary Object Detection at Low Cost.

Abstract: This research enhances the efficiency of deep learning models by integrating domain knowledge. Contributions include:

• Low-cost framework to extend LLMs to Multimodal LLMs (MLLMs)
• Optimization of generative AI for vision, NLP, and multimodal tasks
• Domain adaptation and knowledge-based generalization
• Efficient normalization and modular design for scalable AI

Supervisors:

• Prof. Hanane Azzag – LIPN, Sorbonne Paris Nord University
• Dr. Fangchen Fang – L2TI, Sorbonne Paris Nord University
• Prof. Mustapha Lebbah – DAVID Lab, Paris Saclay University

2020 – 2022 · Master in Machine Learning for Data Science

Paris Cité University, France

Advanced training in machine learning, data science, and cloud-based technologies. Focused on both theory and application.

Relevant Courses: Machine Learning, Deep Learning, NLP, Computer Vision, Social Media Analytics, Bioinformatics, Data Engineering.

2019 – 2020 · Bachelor in Microinformatics and Embedded Systems

Paris 8 University, France

Hands-on experience with embedded systems, mobile apps, and real-time hardware/software integration.

Relevant Courses: Mobile Programming (Android, iOS), Embedded Systems (PIC, Arduino), Deep Learning, Big Data.

2015 – 2018 · Bachelor in Information Systems

Gaston Berger University, Senegal

Solid foundation in software engineering and systems design, with strong skills in databases, security, and algorithmic logic.

Relevant Courses: DBMS, Web Development, Information Security, Software Engineering, Algorithms, Operations Research.