National Conference on Artificial Intelligence (NCAI'2023)
Dear Professors, PhD Students,
The Laboratory of Mathematics Informatics and Systems (LAMIS) & Research laboratory in media and society studies (LRMES), at Laarbi Tebessi University, Tebessa- Algeria are honored to welcome you in the FIRST EDITION of: The Week of Artificial Intelligence Trends (WAIT’ 2023), September 24-28, 2023, Tebessa, Algeria
The topics of the National Conference on Artificial Intelligence: from theory to practice (NCAI'2023) which is a part of WAIT'2023 will include, but not be limited to:
- COMPUTER VISION AND GRAPHICS
- CYBER SECURITY AND PRIVACY
- CONTROL & COMPUTER ENGINEERING
- COMPUTER NETWORKS AND TECHNOLOGIES
- SUSTAINABLE AND RENEWABLE ENERGY ENGINEERING
Publication & Special issue
Papers accepted for the NCAI’2023 after the double-blind peer-review process will be published in the NCAI ‘2023 conference proceedings. Conference proceedings indexation will be announced soon. Additionally, selected papers that have been presented at the conference will also be considered for further development of a possible publication in the highly esteemed partner journal Acta Informatica Pragensia (AIP) https://aip.vse.cz/.
Keynote Speakers in NCAI'2023
Pr. U. Rajendra Acharya
University of Southern Queensland. Australia.
67,500 citations on Google Scholar (with an h-index of 130). He has been ranked in the top 1% of the highly cited researchers for the last seven consecutive years (2016–2022) in computer science.
Pr. Faïez Gargouri
Professor in Computer Science
university of Sfax – Tunisia
Multimedia, InfoRmation Systems and Advanced Computing Lab.
Vice President of the University of Sfax
His research interest focuses on different information systems’ fields, such as, Design, Quality Measurement, Verification, Data Warehousing, Multimedia, Knowledge Management and Ontology. He published more than 350 papers in journals and conferences and more than ten books (pedagogical or conference proceedings).
Dr. Hamda Slimi
Assistant professor in computer sciences
Larbi Tebessi University- Tebessa, Algeria
LAMIS laboratory.
Dr. Hamda Slimi is an assistant professor at the University of Tebessa, who has extensive experience in working with Large Language Models like BERT and RoBERTa, and graph embedding techniques such as Node2Vec.
Please visit the conference web page for further details: http://
The submission Web page for NCAI’23 is : https://cmt3.research.
