Zied Bouraoui.

Full Professor · Université d’Artois

Zied
Bouraoui.

My research connects machine learning, natural language processing, and knowledge representation and reasoning.

CRIL · CNRS UMR 8188
Lens, France

Explore my research Get in touch
Zied Bouraoui
Université d’ArtoisCRIL / CNRS

01 / About

A short biography

I am a Full Professor of Computer Science at Université d’Artois, based at IUT de Lens and a member of CRIL (CNRS UMR 8188). My research brings together machine learning, natural language processing, and knowledge representation and reasoning, with a particular interest in how learned representations can support reasoning.

I received my PhD in Computer Science from Université d’Artois in 2015 and my habilitation (HDR) in 2022. After postdoctoral appointments at Aix-Marseille University and Cardiff University, I joined Université d’Artois as an Associate Professor in 2017 and became a Full Professor in November 2024.

Research leadership

  • Co-lead of CRIL’s Learning, Processing and Querying Data group Since 2026
  • Co-lead of the AIM-GPT team on AI for materials science Since 2025
  • Principal investigator of the ANR JCJC ERIANA project 2023–2027

Scientific service

  • Associate Editor, Artificial Intelligence Since 2023
  • Member of the AFIA Board of Directors Since 2024
  • Member of the CNRS GDR RADIA steering committee and co-coordinator of its Hybrid AI Systems working group Since 2023
  • Program co-chair, ECSQARU 2023

Selected recognition

  • Distinguished Area Chair, ECML PKDD 2025
  • Best Blue Sky Paper Award, AAMAS 2025
  • Best Theory Paper Award, IEA/AIE 2022
  • Best Paper Award, RepL4NLP at ACL 2021
  • Distinguished Paper Award, ECAI 2020

02 / Research

Learning. Language.
Reasoning.

01

Learning & representation

Representation learning, conceptual spaces, and approaches that bring learning and reasoning together.

02

Language & knowledge

Language models, lexical semantics, concept modelling, relation extraction, and knowledge base completion.

03

Reasoning & uncertainty

Ontologies, query answering, belief change, and reasoning with uncertain or inconsistent information.

Selected projects

ANR JCJC · 2023–2027

ERIANA

Event-centric reasoning for interpreting everyday narratives.

Principal investigator ANR Chaire IA · 2020–2026

BE4musIA

Belief change for multi-source information analysis.

Co-investigator CNRS PRIME · 2025–2027

AIM-GPT

Artificial intelligence for material generation and predictive tools.

 ANR PRCE · 2026–2029

DesiRes

Designing artificial reasoners for communication.

03 / Publications

Selected publications

Full bibliography on DBLP ↗Google Scholar ↗ORCID ↗HAL ↗

04 / Teaching

From foundations
to applications.

My teaching at Université d’Artois has covered artificial intelligence, machine learning, logic, and core computer science. I have also contributed to the university diploma in AI Ethics Management and designed a data-analysis module for the MSc in Toxicology.

Applied & advanced machine learningArtificial intelligenceTheory of computation & logicAlgorithmic complexityMathematical modellingSoftware engineering & advanced databases

05 / Resources

Code & tools

BERT Relation InductionCode GCN-based Ontology CompletionCode Belief MergingCode Disentangled FacetsCode CoscinusProject

06 / Contact

Get in touch.

zied.bouraoui@cril.fr
Université d’Artois · CRIL
UFR des Sciences Jean Perrin
Rue Jean Souvraz SP 18
62307 Lens Cedex, France

Office P301 · +33 (0)3 21 79 17 23