Summary

PhD Student (CIFRE) in Artificial Intelligence specializing in mathematical expression recognition, computer vision, and document understanding, with applications in patent publication and accessibility.

Education

• PhD in Artificial Intelligence (CIFRE)

  2026-09
  Luminess / LIRIS

  Courses: Mathematical Expression Recognition, Computer Vision, OCR, Document Understanding, Scientific Writing
• MSc Robotics

  2022-09
  University of Bristol & UWE

  GPA: Distinction

  Courses: Computer Vision, Robotic Systems, Artificial Intelligence, Human-Machine Interaction
• Engineering Degree

  2022-09
  Arts et Métiers

  Courses: Mathematics and Computer Science, Mechanical Engineering, Electrical Engineering, Industrial Engineering, Introduction to AI

Work Experience

• Author

  2025-09 - 2025-09
  Publication accepted at ICDAR (A-ranked conference).

  • Paper titled 'A Multimodal Evaluation Pipeline for Mathematical Expression Recognition'
  • Research contribution in evaluation methodologies for math OCR systems
• R&D Engineer

  2022-11 - 2023-09
  Research and development in document processing and patent analysis.

  • Collaborated with patent production teams to identify recurring issues
  • Defined PhD research topic on mathematical and chemical equation recognition
  • Conducted state-of-the-art review
• Research Project (MSc Thesis)

  2022-05 - 2022-09
  Laser scanning for crack detection and robotic repair.

  • Developed robotic system to detect and compute crack trajectories
  • Worked in hazardous-environment automation context
  • Analyzed scanning parameters and performance trade-offs
• R&D Intern

  2021-06 - 2022-08
  Development of AI solutions for patent document processing.

  • Designed classification algorithm for mathematical equations
  • Used TensorFlow, OpenCV, and clustering techniques
  • Defined evaluation metrics and validation protocols

Skills

Publications

• A Multimodal Evaluation Pipeline for Mathematical Expression Recognition

  2025
  ICDAR 2025

  Proposes a multimodal evaluation framework for mathematical OCR systems, focusing on robust metrics and cross-representation comparison.

  View Publication

Languages

• French

  Native
• English

  Fluent (C1, IELTS 7.5)
• German

  Intermediate (B1)

Interests

• Skateboarding

  Skateboard, Longboard
• Coffee Brewing

  Coffee science
• Role-Playing Games

  Game Master, Scenario writing
• Game Development

  Game jams
• Music

  Drums, Guitar, Singing, Keyboard

References

• Adel Olabi

  Associate Professor and International Coordinator, Arts et Métiers Lille
• Farid Dailami

  Associate Professor, Robotics Innovation Facility Manager, UWE Bristol