The SMART'ILIA Lab investigates intelligent systems, machine learning, and applied AI to address real-world challenges. Our interdisciplinary team bridges fundamental research and practical innovation.
Three interconnected research domains where fundamental science meets engineering impact.
Real-time anomaly detection and predictive analysis in large-scale network infrastructures using machine learning.
Deep learning techniques for automated visual inspection and structural assessment of civil engineering assets.
Scalable analytics pipelines and advanced NLP methods for extracting actionable insights from heterogeneous data sources.