Asma Ben Abacha
Scholar

Asma Ben Abacha

Google Scholar ID: KO6_r0cAAAAJ
Microsoft
Artificial IntelligenceNatural Language ProcessingMedical Informatics
Citations & Impact
All-time
Citations
4,364
 
H-index
33
 
i10-index
55
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Senior Area chair for NAACL 2024; Area chair for NeurIPS 2023, ACL 2023; Co-organizing the ClinicalNLP workshop (2023, 2024); Co-organizing the NeurIPS-NAML workshop (2023); Co-organizing the MEDIQA shared tasks (2019-2024); Co-organizing the ImageCLEF VQA-Med and Caption tasks (2019-2024). Published multiple papers. Awards & Fellowships: 2018: Service Group Award, in recognition of greatly improving the user experience in the Open-i and MedPix systems, NLM, USA. 2017: Service Group Award, in recognition of excellent performance in deep learning-based visual ontology to support Open-i, NLM, USA. 2008: Doctoral Fellowship from the French Ministry of Higher Education and Research, France.
Research Experience
  • 2015 - 2021: Researcher/Staff Scientist at the NLM/NIH, USA. 2012 - 2015: Researcher at the Luxembourg Institute of Science and Technology (LIST), Luxembourg & Part-time lecturer at Nancy-Charlemagne Institute of Technology (IUT), France. 2008 - 2012: PhD Candidate at LIMSI-CNRS Lab, France.
Education
  • 2012: Ph.D. in Computer Science, Paris-Sud University, France. Thesis: 'Finding Precise Answers to Medical Questions: The Question-Answering System MEANS'. 2008: Research Master’s Degree in Computer Science (first in my year), Paris 13 University (Institut Galilée), France. 2007: Software Engineering Degree, National School of Computer Science (ENSI), Tunisia.
Background
  • Research Interests: Natural Language Processing, Machine Learning, Artificial Intelligence, and their applications in Medicine and Healthcare.
Miscellany
  • Invited talks on various topics such as insights from the organization of international challenges on artificial intelligence in medical question answering, NLP methods for medical question answering, etc.