Conference
The IEEE International Conference on Data-Driven Analytics is a cutting-edge event that brings together experts, researchers, and industry leaders to showcase the latest advancements in information technology and data science. The conference will have a technical program structured around a series of sessions featuring keynote speeches, panels, and presentations by leading experts and researchers in their respective fields. The program will include a diverse range of topics related to data-driven analytics, such as Big Data, Data Mining, Machine Learning, Data Security, and other aspects of data processing.
The conference is intended for a wide audience that includes academics, researchers, professionals, and industry leaders in the fields of Fintech, E-health, Industry 4.0, educational systems and Agriculture. The program is designed to appeal to those who are interested in the latest advancements in information technology and data science and who are seeking to expand their knowledge and stay up to date with the latest trends and developments.
Attendees will have the chance to engage in lively discussions and hands-on workshops, led by experts in their respective fields. The conference will feature a diverse range of speakers, including both academic researchers and industry professionals, who will share their knowledge and expertise on the latest developments in data-driven analytics. The technical program will be organized into several sessions, each focused on a particular topic, and attendees will have the opportunity to choose which sessions they wish to attend.
In addition to the technical program, the conference also offers attendees the opportunity to participate in a gala dinner and cultural visit, while adhering to a well-managed schedule. The conference provides a platform for networking and collaboration, as well as a chance to explore cutting-edge technologies and their applications across various domains.
The primary objectives of ADACIS
1
Provide a forum for researchers, practitioners, and policy-makers to exchange ideas and knowledge about data-driven analytics and intelligent systems.
2
Facilitate the presentation and discussion of the latest research findings and innovations in the field of data-driven analytics.
3
Explore the opportunities and challenges associated with the integration of data-driven analytics and intelligent systems in various industries, including Fintech, E-health, Industry 4.0, Education and Agriculture.
4
Foster collaboration between academia, industry, and government to promote the development and application of data-driven analytics and intelligent systems.
The conference will be structured around six key areas
1
Data-driven models and Intelligent Systems
This area will track advanced data-based models, methods and frameworks to efficiently extract relevant insights. Topics of interest include but are not limited to:
- Big data trends to process huge heterogeneous data
- Data science models
- Large Language Models (LLMs)
- Data integration architectures
- Inferences models
- Intelligent systems design, development and implementation
- Distributed Intelligent systems
- Intelligent systems for Sustainable development
- Intelligent Systems for Renewable Energy
- Intelligent systems for computer security
- Cloud computing for scalable data analytics
- Ethical AI and explainable machine learning in decision-making
- Applications
2
Data-driven analytics for Business
This area will cover topics related to the application of data-driven analytics in financial technology. Topics of interest include but are not limited to:
- AI-driven innovations in supply chain management and logistics
- Data-driven strategies for digital transformation in business
- Predictive modeling and forecasting
- Customer behavior analysis and segmentation
- Operational efficiency and process optimization
- Risk management and mitigation strategies
- The microstructure of modern financial markets: algorithmic /high frequency trading, market liquidity, dark trading, blockchain settlements etc.
- Behavioural economics
- FinTech and decision making
- Open banking , insurTech, SupTech, PayTech and embedded FinTech
- Micro FinTech and Financial Inclusion
- FinTech and Sustainable Finance
- FinTech and Gender
3
Data-driven analytics for E-health
This area will cover topics related to the use of data-driven analytics in healthcare. Topics of interest include but are not limited to:
- Drug discovery
- Computational biology
- Health informatics
- Telehealth
- Sensor informatics and medical imaging
- QSAR / QSPR modeling
- Disease diagnosis and treatment prediction
- Medical image and signal analysis
- Healthcare resource allocation and optimization
- Electronic health records analysis
- Patient outcome prediction
4
Data-driven analytics for Industry 4.0
This area will cover topics related to the application of data-driven analytics in the context of Industry 4.0. Topics of interest include but are not limited to:
- Data-driven decision making in Industry 4.0
- Data analytics for smart manufacturing
- Data analytics for supply chain optimization
- Big data analytics for Industry 4.0
- Data-driven quality control
- Data analytics for energy management in Industry 4.0
- Data analytics for predictive maintenance
- Machine learning for Industry 4.0
- Blockchain - AI and robotics for enhancing productivity
5
Data-driven analytics for Education
This area will cover topics related to the application of data-driven analytics in the field of education. Topics of interest include but are not limited to:
- Artificial Intelligence in Education;
- Learning Analytics for adaptive learning;
- Scalable Data Driven architectures for Smart Learning;
- e-Assessment;
- Development of AI and new roles for teachers;
- Best practices and case studies on smart teaching and learning.
- Ethical implications of AI in education and data privacy concerns
- Gamification and AI-driven engagement strategies
6
Data-driven analytics for Agriculture
This area will cover topics related to the application of data-driven analytics in the field of Agriculture. Topics of interest include but are not limited to:
- Predicting and mitigating climate change impact through data analytics
- Predictive modeling of crop yield and quality using sensor data
- Crop health monitoring with satellite and drone imagery and sensor data
- Holistic farm management through data integration
- Visualization tools for complex agricultural data
- Resource management through data-driven analytics
- Ethical and privacy considerations in agricultural data collection and use
- Sharing and integration of agricultural data across stakeholders
- Evaluation and improvement of agricultural data platforms and tools
- Data-driven solutions for global food security
- Blockchain for transparency in agricultural supply chains
Honoree General chair

Dr. Lotfi BELKACEM
President of the University of Sousse (USO), Tunisia
General chair
Dr. Dalel Kanzari
University of Sousse, Tunisia
Steering committee

Dr. Rui Marques
University of Aveiro, Portugal

Dr. Essalih Mohamed
University of Cadi Ayyad, Morocco
Dr. Dalel Kanzari
University of Sousse, Tunisia

Dr. Kurosh Madani
University of Paris-Est Créteil Val de Marne, France
Program committee chairs

Dr. Kurosh Madani
University of Paris-Est Créteil Val de Marne, France

Dr. Maha Khemaja
University of Sousse, Tunisia
Track chairs
Data-driven models and Intelligent Systems
Dr. Othmane Alaoui Fdili
Cadi Ayyad University, Morocco
Dr. Sami Achour
University of Sousse, Tunisia
Data-driven analytics for Business
Dr. Yosra Ben Said
University of Sfax, Tunisia
Dr. Sonia Makni
University of Sousse, Tunisia
Data-driven analytics for E-health
Dr. Nahla Ben amor
Université de Tunis, Tunisia
Dr. João Carvalho
Aveiro University, Portugal
Data-driven analytics for Industry 4.0
Dr. Gonçalo Carnaz
University of Aveiro, Portugal
Dr. Jamal Bakkas
University of Cadi Ayyad, Morocco
Data-driven analytics for Education
Dr. Imène Berguiga
University of Sousse, Tunisia
Dr. Abderrahman Chekry
University of Cadi Ayyad, Morocco
Data-driven analytics for Agriculture
Dr. Hanine Mohamed
Chouaib Doukkali University, Morocco
Dr. Christophe Sabourin
Paris-Est Créteil University
Organizing committee
Dr. Dalel Kanzari
University of Sousse, Tunisia
Dr. Maha Khemaja
University of Sousse, Tunisia
Dr. Sonia Makni
Sousse University, Tunisia
Dr. Imen Berguiga
Sousse University, Tunisia
Dr. Sami Achour
University of Sousse, Tunisia
Dr. Mohsen Maraoui
University of Sfax, Tunisia
Dr. Yosra Ben Saîd
University of Sfax, Tunisia
Dr. Mayssa Ben Kahla
University of Sousse, Tunisia
Dr. Wejden Abdallah
ESIEE-IT - Paris, France