TRACK #4: AI Applications for Industry

CHAIRS

Lucian Toma, Politechnica University of Bucharest, Romania
Najoua Essoukri Ben Amara, University of Sousse, Tunisia
Ala Khalifeh, German Jordanian University, Jordan
Serge Dos Santos, INSA Centre Val de Loire, Blois, France
Maria Beatrice Coltelli, Pisa University, Italy

Description

This track focuses on the application of AI in industrial contexts to enhance productivity and streamline processes. It seeks to transform traditional practices into intelligent, efficient systems.

Key Areas of Interest (not limited to):

• Industrial Automation: AI solutions for automating manufacturing processes and optimizing production lines;
• Supply Chain Optimization: Use of AI for demand forecasting, inventory management, and logistics optimization;
• Quality Control Systems: AI-driven testing, inspection and monitoring systems to ensure product quality, integrity and compliance;
• Robotics and AI Integration: The deployment of collaborative robots (cobots) that work alongside humans in industrial settings;
• Predictive Analytics: Utilizing AI to analyze operational data for informed decision-making and performance improvement.