Madjid SADALLAH

Ph.D., Researcher - Engineer

Short Bio

I am a computer scientist specializing in the intersection of artificial intelligence and education (AIEd), with expertise spanning both theoretical foundations and practical applications. I hold a PhD and a Magister degree in Computer Science from the University Abderrahmane Mira, as well as an Engineer’s degree from the University of Science and Technology USTHB. I am currently a contract researcher in the ANR COOBRA project at SICAL/LIRIS (CNRS UMR 5205), focusing on human-computer interaction (HCI), multimodality, and digital accessibility to support collaborative learning and working between sighted individuals and visually impaired Braille users. This role builds on my previous experiences in AI-driven educational tools and extends my expertise to inclusive technologies for visual impairment. Previously, I worked as a contract researcher at TWEAK, LIRIS, focusing on AI-driven approaches to learning and teaching; as a research engineer at IMT Atlantique in Brest, France, where I developed analytical tools and models to study digital learning practices; and as a full-time researcher at the Algerian Research Center on Scientific and Technical Information (CERIST).

My Academic CV (French)

Research Interests

My research lies at the intersection of Artificial Intelligence and Education, with a focus on data-driven and human-centered approaches to enhance teaching and learning. Key areas include:

  • Artificial Intelligence in Education (AIEd): Adaptive, personalized, and ethical AI-driven learning systems.
  • Learning Analytics & Educational Data Mining: Data-informed methods for understanding and improving learning processes.
  • Human–Computer Interaction for Learning: Design and evaluation of interactive, engaging, and accessible educational technologies, including multimodal interfaces for diverse users.
  • Technology-Enhanced Learning (TEL): Supporting inclusive, sustainable, and effective learning environments, with emphasis on digital accessibility and visual impairment.
  • Knowledge Representation & Engineering: Structuring and leveraging knowledge to build intelligent educational systems, including document engineering for collaborative contexts.
  • Computer-Supported Collaborative Work/Learning (CSCW/CSCL): Facilitating cooperation between sighted and visually impaired individuals on scientific and technical content.