As of today, the organizing committee is still deciding on the final format (on-line, hybrid, etc) and the impact on the organization and registration fees. What is certain is that the conference will be held and the papers will be published. So there is still time to submit your proposal!


AI & Big Data 2024 (Artificial Intelligence & Big Data)

AI & Big Data 2024 (Artificial Intelligence & Big Data) is an interdisciplinary conference for the presentation of new advances and research results in the fields of Artificial Intelligence and Big Data. Artificial Intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. On the other hand, in recent years, “Big Data” has become a new ubiquitous term. In fact, exponential growth of data in the legal industry has created a significant business challenge. AI and Big Data technologies have been increasingly embraced by the industry to efficiently process and analyze large volumes of complex data, in order to deliver services at reasonable costs, and satisfactory speed.

Using machine learning and other AI technologies, and making sense of large volumes of data are transforming and reinventing all aspects of industry. The application of these technologies and their integration with other domains such as Cloud Computing, Blockchain, Quantum Computing and Business Intelligence, represents a great challenge for industry and research, but that can be really rewarding in terms of value extraction and better insights.



ACM will publish the proceedings of the Digital Tools & Uses Congress in the ACM Digital Library within its International Conference Proceedings Series (ISBN 978-1-4503-6451-5).

A selection of best papers will be invited to publish extended versions in form of book chapters under the series Digital Tools & Uses at ISTE & Wiley (indexed by Wiley Online Library).

Previous edition:

E. Reyes, S. Szoniecky, A. Mkadmi, G. Kembellec, R. Fournier-S’niehotta, F. Siala-Kallel, M. Ammi & S. Labelle (sous la direction) . – DTUC ’18. Digital Tools & Uses Congress . - Paris : Paris : ACM ICPS, 2018. - ISBN 978-1-4503-6451-5/18/10


With both the challenges we identify many topics :

  • AI Algorithms,
  • AI tools & Applications
  • Artificial neural networks
  • AI and cloud
  • BIG DATA and cloud
  • Block chain and BIG DATA
  • Block chain and AI
  • Mathematical foundations of neural networks
  • Fuzzy systems
  • Natural language processing, speech and image processing
  • Evolutionary algorithms
  • Genetics algorithms
  • Intelligent agents(architectures, environments, adaptation/learning and knowledge management)
  • Intelligent optimization techniques
  • Data Mining and Machine Learning Tools
  • Deep learning
  • Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning,
  • Hybrid Intelligent Systems,
  • Performance optimization of machine learning algorithms,
  • Programming models and tools for machine learning,
  • Application of Big Data Analytics
  • Application of AI algorithms to Decision Making
  • Big data models and architectures
  • Big data security
  • Data Preprocessing and Transformation at scale
  • Big Data Cleaning
  • Big Data Analytics: stream machine learning / deep learning, stream mining / analytics
  • Big Data Science and Foundations : New Computational Models for Big Data, New Data Standards
  • Big Data Infrastructure : Programming Models and Environments for Cluster, New Programming Models for Big Data beyond Hadoop/MapReduce, SPARK
  • Big Data Applications : Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, etc.
  • AI and Design

Track chairs

  • Fatma SIALA KALLEL (ISAMM, university of Manouba, Tunisia)
  • Lilia Sfaxi (INSAT, University of Carthage, Tunisia)

Organization Commitee

  • Fatma SIALA KALLEL (ISAMM, university of Manouba, Tunisia)
  • Dario Collazo (University of Paris-Dauphine, france)
  • Chih-Cheng Hung (Kennesaw State University, Georgia)
  • Khaled Hfaiedh (ESPRIT, Tunis)
  • Bassem Ben Hamed (University of Sfax, Tunisia)


Scientific committee & reviewers

Jie Lu, University of Sidney, Australia

Sebastián Ventura, University of Cordoba, Spain

Chuan-Ming Liu, University of Taipei Tech, Taiwan

Bellavista Paolo, University of Bologna, Italy

Tiphaine Viard, University of Tokyo, Japan

Arruabarrena Béatrice, university of Paris, France

Mallouli Wissam, University of Paris, France

Aimeur Asma, University of Montreal, Canada

Kazar Okba, University of Biskra, Algeria

Chiky Raja, university of Paris, France

Chelly Zaineb Dagdia, University of Loraine, Nancy, France

Stephen Cave, University of Cambridge, USA

Shuicheng Yan, University of Beijing, China

Zhuo Zhang, University of Beijing, China

Sidorova Anna, University of North Texas, USA

Feng Gu, College of Staten Island, USA

Wael Ouarda, University of Sfax, Tunisia

Tagina Moncef, University of Manouba, Tunisia

Miranda SERGE, University côte d'Azur, France

Sami Faiz, University Of Tunis Carthage

Gammoudi Mohamed Mohsen, University of Manouba, Tunisia

Boujelben Yassine, University of Sfax, Tunisia

Hafaiedh Khaled, ESPRIT, Tunisia

Raboudi Khaoula, University of Manouba, Tunisia

GARGOURI Faiz, University of Sfax, Tunisia

Rim Faiz, University Of Tunis Carthage, Tunisia

Sfaxi Lilia, University of Tunis Carthage, Tunisia

Chaari Wided, University of Manouba, Tunisia

Barika Farah, University of Sousse, Tunisia

Ben Hamed Bassem, University of Sfax, Tunisia

Bou Hamed Heni, University of Sfax, Tunisia

Bouassida Khédija, University of Manouba, Tunisia

Brahmi Zaki, Taibah University,College Of Science And arts at Al-Ola, Saudi Arabia

Belkahla Olfa, University of Manouba, Tunisia

Ben Charrada Faouzi, University of Tunis el MANAR, Tunisia

Hamrouni Tarak, University of Tunis el MANAR, Tunisia

Boulbeba Ben Amor, University of Abu Dhabi, UAE

Shuicheng Yan, University of Beijing, China

Language of submission

French & English

Important Dates


• Abstract and Paper Submission: January 2024. 

• Notification to authors: March 2024

• Camera-ready papers due : March 2024

• Early registration: April 2024

• Congress: june 2024

Submission Guidelines

The following paper categories are welcome:

• Short Papers: 2 to 4 pages (2 columns) in the ACM format about on-going projects and experiments

• Long Papers: 4 to 8 pages (2 columns) in the ACM format about experiences, mid-long term projects, theories, reception, evaluation.

• Posters and Demos: 1 - 2 pages (2 columns) in the ACM format about groundbreaking on-going research, prototypes and demos

Submission Format

Please use the ACM Master Template to prepare your proposal.

Important: At this first step you are required to submit as anonymous author for peer-reviewing. That is, leave in blank the Author and Affiliation text of the template. If your proposal is accepted, you will then prepare a final version with your full name and contact details.

Review Process

All submissions will follow a blind peer-review process. At least two different members of the scientific committee will review each paper. The selection criteria is based on originality, accordance to the theme and topics, scientific/technical contribution, and clarity of presentation.

Authors will receive notification of acceptance on July 20th 2020. If your paper is accepted you will be solicited to prepare the camera-ready version for its publication.


All questions about submissions should be emailed to Dr. Fatma SIALA KALLEL :

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