Energy and Electrical Smart Systems
Logistics and Supply Chain Management
Mechanical and industrial engineering
Process engineering
About ICAT2I
The « International Conference on Advanced Technologies and Interdisciplinary Innovation – 2026 Edition, ICAT2I’2026 » brings together experts, researchers, and professionals from various fields to explore technological advances in electrical engineering, mechanical engineering, logistics, and materials science, as well as the contribution of Artificial Intelligence in these areas. The event highlights the synergies between these disciplines, aiming to develop innovative solutions to address current industrial and environmental challenges.
ICAT2I’2026 is an opportunity to forge new partnerships and exchange scientific results with researchers and academics from a wide range of disciplines. ICAT2I’2026 will be held at the Higher School of Technology of Fez, Morocco, on December 25 and 26, 2026.
Conference topics
Energy and Electrical Smart Systems
Logistics and Supply Chain Management
Mechanical and industrial engineering
Process engineering
Physics-Informed Scientific Machine Learning
Energy and Electrical Smart Systems
The oretical Foundations of Physics-Informed Machine Learning
Advances in Physics-Informed Neural Networks (PINNs)
Operator Learning and Neural PDE Solvers for Parametric Engineering Problems
Data-Driven and Physics-Based Digital Twins in Engineering
Inverse Problems and System Identification in Engineering
Multi-Physics and Multi-Scale Modeling with SciML
Control-Oriented Modeling and Real-Time Decision Making
Logistics and Supply Chain Management
Artificial Intelligence to optimize the Supply Chain in the face of recession and inflation
Intelligent Supply Chain and financial economy
SCM Economic and Financial Development
Hospital logistics and healthcare
Urban logistics and freight transport
Modeling, optimization, and simulation Transport systems, infrastructures, and impacts
Sector-specific logistics (humanitarian, military, space, energy, agricultural Artificial intelligence, Big Data, and Supply chain
Supply chain risk management and resilience
Mechanical and industrial engineering
Product design tools and methodologies
Integrated design and product information systems
Mechanical manufacturing
Production processes
Additive manufacturing, 3D printing
Production systems design methodology
Process engineering
Separation Processes
Bioprocess Engineering
Materials and Manufacturing Processes
Chemical Reaction Engineering
Sustainability and Environmental Impact
Physics-Informed Scientific Machine Learning
Theoretical Foundations of Physics-Informed Machine Learning
Advances in Physics-Informed Neural Networks (PINNs)
Operator Learning and Neural PDE Solvers for Parametric Engineering Problems
Data-Driven and Physics-Based Digital Twins in Engineering
Inverse Problems and System Identification in Engineering
Multi-Physics and Multi-Scale Modeling with SciML
Control-Oriented Modeling and Real-Time Decision Making
Our speakers
King Fahd University of Petroleum and Minerals, Kingdom of Saudi Arabia
Cross-functional Manager at the Industrial Division of Soprasteria Group, France
Associate Professor (MCF) at Aix-Marseille University and a researcher at the Laboratoire d’Informatique et Systèmes (LIS)
Partners
