Amal Zouaq
Scholar

Amal Zouaq

Google Scholar ID: lqDGv9YAAAAJ
Full Professor, FRQS (dual) Chair in AI / Digital Health, MILA associate academic member, IVADO
Artificial intelligenceNLPSemantic Web
Citations & Impact
All-time
Citations
898
 
H-index
16
 
i10-index
27
 
Publications
20
 
Co-authors
18
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Paper: GeoCoder - Solving Geometry Problems by Generating Modular Code through Vision-Language Models
  • - Paper: Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs accepted at NeurIPS-AFM 2024
  • - Paper: Ontology-Constrained Generation of Domain-Specific Clinical Summaries accepted at EKAW 2024
  • - Paper: A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions accepted at IEEE Access
Research Experience
  • - Director of the LAMA-WeST laboratory
  • - Research areas include representation learning, natural language interfaces, automatic reasoning, knowledge base extraction and population, ontology learning and alignment, knowledge engineering, and information extraction and generation.
Background
  • Specializes in natural language processing and artificial intelligence, with a particular focus on semantic web technologies.
Miscellany
  • Welcomes applications from qualified PhD students, especially those with experience in natural language processing, semantic web, and machine learning. The lab is funded by governmental and industrial institutions, providing rich research opportunities for students and researchers.