Scientific Program - DAIS 2026

Scientific Program

The First International Conference on Data Analytics and Intelligent Systems (DAIS'2026)

14 – 16 April 2026 | Abbes Laghrour University, Khenchela

April 14th

08:00 – 08:30
WELCOME REGISTRATION
Entrance — Big Lecture Hall · Badge collection, conference kit distribution
08:30 – 09:00
CEREMONY - Opening Ceremony
Big Lecture Hall
09:00 – 10:00
Plenary session 1
Pr. Francisco Herrera (Dept. Computer Science & AI, DaSCI — University of Granada, Spain)
eXplainable AI: A cornerstone for AI safety and trustworthiness
Session Chair: Pr. Benferhat Salem, Pr. Slimani Hachem, Pr. Siam Aberrahim
10:00 – 10:30
Coffee break
10:30 – 12:30
Parallel Sessions
House of AI
NLP, Social Networks & Fake News Detection
Session Chair: Pr. Derdour Makhlouf, Dr. Malik Mohamed Mahdi, Dr. Messaoudi Nabil
Baira, I. et al. GAML: Graph Autoencoders with Metric Learning Approach for Fake News Detection in Online Social Networks
Madani, A. et al. ModernBERT for Health Misinformation Detection in Social Networks
Chenatlia, K. et al. Detecting Fake News Through Emotional Incongruence Analysis: An Ensemble Deep Learning Approach
Hemina, K. et al. SahihWakadib: A Comprehensive Arabic Fake News Dataset with Benchmark Model Evaluations
Room 4.0
Deep Learning Architectures & Computer Vision
Session Chair: Pr. Marir Toufik, Dr. Zaidi Sofiane, Dr. Mehalaine Ridha
Beroual, B. & Sbaa, S. Analysis of Facial Regions from a Single Image for Age Estimation using SURF
Gherbi, D. et al. A Comparative Study of CNN Architectures for Histopathological Image Classification
Boukheche, R. et al. Unveiling Influence: A Comparative Study of CNN-Driven Methods for Node Ranking in Complex Networks
Mebarkia, M. et al. Convolutional Feature Extraction with Residual MLP for Medical Image Classification
12:30 – 14:00
Lunch break
14:00 – 15:00
Plenary session 2
Pr. Salem Benferhat (CRIL-CNRS UMR 8188 — University of Artois, France)
Leveraging Heterogeneous Data: Inconsistency Management and Cross-Source Integration
Session Chair: Pr. Benkhelifa Elhadj, Pr. Mokhati Farid, Pr. Bendjenna Hakim
15:00 – 17:00
Parallel Sessions
House of AI
Explainable AI & Model Interpretability
Session Chair: Dr. Benaboud Rohallah, Dr. Nessah Djamel, Dr. Chouhel Ouahiba
Abada, M. et al. A Comparative Study of XAI Methods for Heart Disease Prediction
Bakhouche, A. et al. MLS-LIME: Manifold-Aware Local Sampling for Model-Agnostic Explanations
Merabet, A. et al. Predicting Cardiovascular Disease Risk Using Explainable AI: A Case Study on the Framingham Heart Study
Belhocine, Y. et al. Toward Explainable Systems: Homomorphic Filtering and Fisher-Aware Dictionary Learning
Room 4.0
Machine Learning Methods & Signal Processing
Session Chair: Pr. Boutekkouk Fateh, Dr. Abbas Faycel, Dr. Bakhouche Abdelali
Marcelo. J.M.A et al. Spectral Riemannian Residuals for Robust EEG Decoding on SPD Manifolds
Mamen. L et al. Lightweight 3D-2D Hybrid U-Net for Hyperspectral Plastic Segmentation
Talhi, I.E. et al. Entropy-Driven Quantum Swarm Formation Control for Dynamic Multi-Agent Systems

April 15th

08:30 – 09:30
Plenary session 3
Pr. Amir H. Gandomi (Faculty of Engineering & IT, Data Science Institute — University of Technology Sydney, Australia)
Session Chair: Pr. Bellatreche Ladjel, Pr. Haouassi Hichem, Pr. Menassel Rafik
09:30 – 10:30
Plenary session 4
Pr. Elhadj Benkhelifa (Smart Systems, AI & Cybersecurity Research Centre — Staffordshire University, UK)
Building Digital Resilience in the Age of Artificial Intelligence
Session Chair: Pr. Hachem Slimani, Pr. Maarouk Toufik Messaoud, Pr. Hemam Mounir
10:30 – 11:00
Coffee break
11:00 – 13:30
Parallel Sessions (5 papers each)
House of AI
Healthcare & Biomedical AI
Session Chair: Pr. Ahmed Saghir Zianou, Pr. Mahdaoui Rafik, Dr. Hocine Riadh
Bekka, I. & Kanfoud, M.R. Fine-Tuned Biomedical Language Models for Stroke Risk Prediction Using Rephrased Structured Data
Laribi, N.E. et al. A Hybrid Ensemble Framework for Vision Transformers: Integrating Progressive Bagging and Stacking Strategies
Kaddour, S. et al. Unsupervised Retinal Anomaly Detection using Hybrid Texture-Semantic Features
Ameziane, F. et al. Multi-Kernel-Dilation CNN-GRU Fusion for Low-Cost HAR Systems
Messas, A. et al. Adaptive DBO-Agent for Improved Prediction of Kidney, Liver, and Breast Cancer Diseases Through Joint Feature Selection and Hyperparameter Optimization
Room 4.0
Data Engineering, Knowledge Graphs & Intelligent Agents
Session Chair: Pr. Maarouk Toufik Messaoud, Dr. Achroufen Achour, Dr. Rahab Hichem
Ibelaiden, F. & Lounis, O. Scalable Motion Pattern Discovery Using Dual MEI Feature Extraction and Geometric Classification
Hani, A. et al. QuBioCUB v1.0: A Quantum-Ready Dataset for Codon Usage Bias Analysis
Boucetta, M.A. et al. Building and Querying Multimodal Knowledge Graphs: A Survey
Mokhfi, O. et al. Large-Scale Group Decision Making: A Review of Network-Informed Consensus Mechanisms
Laassami, F. et al. Multi-Agent Systems: Moving from Classic Coordination to Autonomous AI Agents
13:30 – 14:30
Lunch break
15:00 – 17:00
Parallel Sessions
House of AI
Applied AI: Security, Education & Energy
Session Chair: Pr. Menassel Rafik, Pr. Haouassi Hichem, Dr. Djezzar Meriem
Cherchar, M.S. et al. Towards Intelligent Information Security Risk Assessment in System of Systems: A Systematic Mapping Study
Djenba, F. & Chebout, M.S. Synthesizing AI Literacy in Higher Education: A Comprehensive Review Leading to the AI-Lit4HE Framework
Necibi, K. et al. Evaluating Condensed Association Rule Mining for Building Energy Analytics: FP-Growth, FP-Close, and FP-Max
Chabbi, I. et al. Olive Leaf Disease Detection: An Explainable Deep Learning Approach
Room 4.0
AI for Agriculture, Transportation & Smart Services
Session Chair: Pr. Hemam Mounir, Dr. Bendib Issam, Dr. Malik Mohamed Mahdi
Bennai, Y.A. et al. Tomato Leaf Disease Classification with Embedded Machine Learning
Amirat, L. et al. Explainable AI in Modern Agriculture: An Overview of Cross-Domain Applications and Perspectives for Algeria
Hamidouche, Y. et al. A Crowdsourced Traffic & Weather Fusion Dataset for Emergency Healthcare Travel Time Forecasting in Algiers Province
Siad, M. et al. A VRP-based MST Clustering Algorithm for Home Healthcare and Drug Distribution
17:00 – 17:30
CEREMONY - Closing Ceremony
Big Lecture Hall · Awards, best paper recognition

April 16th — Excursion Day