About
Cheikh Brahim EL VAIGH is an Associate Professor at University of Burgundy (France), CIAD lab since 2022. 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.
Associate Professor at University of Burgundy/CIAD
Research Interests
- Natural Language Processing (LLMs)
- Graph Learning
- Data Management (OMQA)
- Automatic Art Analysis
Teaching
- 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)
- Web of Data (RDFS/Description Logics) (Ph.D. level)
Skills
News
Our paper 'Using Knowledge Base Semantics in Context-Aware Entity Linking' get accpeted at DocEng.
21 May 2019
I joined Burgundy University/CIAD lab as an Associate Professor.
01 September 2022
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
Our paper 'Using Knowledge Base Semantics in Context-Aware Entity Linking' get accpeted at DocEng.
21 May 2019
I joined Burgundy University/CIAD lab as an Associate Professor.
01 September 2022
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
Resume
Sumary
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
Education
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 Réda Slaoui, Agadir, Morocco
Two years of intensive preparatory course in mathematics ans physics for MASc.
Professional Experience
Associate professor (MCF)
2022 - Present
UBE UFR Sciences et Techniques/CIAD, Dijon, France
- Teaching computer science (Machine Leaning, NLP, Web data management),
- Working on data management and ontology mediated query answering (OMQA),
- Collaborating with Institue of Datability Science form Osaka University on automatic art analysis,
- Working on fakenews detection from tweets.
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 (M.sc.)
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 (M.sc.)
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.
Publications
The full list of publications can be found on HAL, DBLP or Google scholar.
- All
- NLP
- Description Logics
- RDF
- Graph Learning
- Art Analysis
- Fakenews
- SUMMARY BASED OMQA
(Fun) Facts
Tea cups I need per day
0Projects I'm invoved in
0Blues songs I love are more than
0Sports I used to practice
0Contact
Location:
ENSSAT-IRISA, 6 rue de Kerampont, CS 80518, 22305 Lannion Cedex, France
Email:
cheikh-brahim.el-vaigh(at)inria(dot)fr
Call:
+33 2 96 46 90 00