Cheikh Brahim EL VAIGH

He is


Cheikh Brahim EL VAIGH is an assistant professor at the univ-rennes1 University (France), IRISA lab since 2020. He is also a visiting researcher at the Osaka University Institute for Datability Science since 2019. He received his MASc degree in computer science from the univ-rennes1 University (France) in 2017 and his Ph.D. in January 2021 from the same university. During his Ph.D., he worked on the joint use of knowledge graph and NLP for data-journalism at the INRIA/IRISA lab (Rennes, France). His research is focused on data analysis with join approaches leveraging knowledge graphs such as text and graph, or image and graph learning. He is also working on ontology mediated query answering querying with both RDF and description logics.

Assistant professor at univ-rennes1 University/IRISA

Research Interests

  • Natural Language Processing
  • Graph Learning
  • Data Management (OMQA)
  • Automatic Art Analysis


  • Object-oriented Programming   (B.Sc. & M.Sc. level)
  • Algorithmic   (B.Sc. level)
  • Web Programming   (M.Sc. level)
  • Data Bases   (M.Sc. level)
  • Cryptography Mathematics   (M.Sc. level)


Python 99%
Word & Graph Embeddings 99%
NLP/Entity Linking 99%
Machine Learning 90%
Java 90%
Web Development 80%


Our journal paper 'Improving topic modeling through homophily for legal documents' get accpeted in Applied Network Science, VL: 5, Article number: 77

01 October 2020

Our paper 'A Novel Path-based Entity Relatedness Measure for Efficient Collective Entity Linking' get accpeted at ISWC 2020.

01 September 2020

Research visitor at the Institute for Datability Science IDS, Osaka University, Japan.

21 - 25 October 2019

2019 ACM Multimedia organization committee member.

21 - 25 October 2019

Our paper 'Using Knowledge Base Semantics in Context-Aware Entity Linking' get accpeted at DocEng.

21 May 2019

RJCRI PC committee member.

25 - 29 March 2019

CORIA-TALN organization committee member.

14 - 18 May 2018



Cheikh Brahim EL VAIGH

Assistant professor in computer science at ENSSAT in Lannion AND IRISA. My teaching activities includ algorithmic, data structures, object-oriented programming, databases or WEB programming. The position also includes a research activity in NLP (Entity Linking & Fakenews Detection), computer vision (Art Classification) and data management: OMQA with Abox summary.

  • 6 rue de kerampont, 22330, Lannion
  • 0296469000
  • cheikh-brahim.el-vaigh(at)inria(dot)fr


PhD in Computer Science

2017 - 2020

univ-rennes1 University, Rennes, France

This thesis focuses on the joint exploitation of textual documents and ontologies or knowledge bases for data-journalism

Master in Computer Science

2014 - 2017

ENSSAT / univ-rennes1 University, Lannion, France

This master project was about building a low-power wireless sensors network for the company DEVELEC

CPGE MPSI/MP, 2012-2014

2012 - 2014

CPGE RĂ©da Slaoui, Agadir, Morocco

Two years of intensive preparatory course in mathematics ans physics for MASc.

Professional Experience

Assistant professor (ATER-LRU)

2020 - Present

ENSSAT / SHAMAN - IRISA, Lannion, France

  • Teaching computer science at ENSSAT,
  • Working on data management and ontology mediated query answering (OMQA) at SHAMAN/IRISA,
  • Collaborating with Institue of Datability Science form Osaka University on automatic art analysis,
  • Working on fakenews detection from tweets.

PhD in computer science

2017 - 2020

LinkMedia - INRIA Rennes / IRISA , Rennes, France

  • Teaching Java programming at INSA Rennes (B.Sc. level),
  • Collaborating with Ouest-France within the IPL iCODA,
  • Working on Entity Linking and Entity Alignment.

Professional contract (

2016 - 2017 ( CDD 1 year)

DEVELEC, Pommerit-Jaudy, France

  • Implementing an IP stack with the 802.15.4 protocol, based on the C programming language,
  • Configuring the cards and sensors,
  • Building a client / server communication with REST architecture,
  • Simulating a sensors network within a virtual machine (Virtualbox + Ubuntu),
  • Testing the code on physical cards (micro-controllers + sensors + radio antennas).

Research internship (

2016 - 2016 ( 2 months)

EXPRESSION - IRISA, Lannion, France

  • Comparing audio content indexing and classification techniques using FLANN and Keras,
  • Development of a library with Python, FLANN and Kera.

(Fun) Facts

Tea cups I need per day

Projects I'm invoved in

Blues songs I love are more than

Sports I used to practice



ENSSAT-IRISA, 6 rue de Kerampont, CS 80518, 22305 Lannion Cedex, France


+33 2 96 46 90 00

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