Welcome to AIMCS 2026

The International Conference on AI for Industrial Monitoring, Control and Supervision (AIMCS 2026) will take place from 7–9 October 2026 in Paris (France).

AIMCS 2026 aims to bring together researchers, engineers, and industry experts from around the world to share their latest research findings and innovative ideas on AI-enabled supervision, monitoring, and control of industrial systems. The conference will feature keynote speeches, oral and poster presentations, and industrial sessions.

As industrial systems become increasingly complex, interconnected, and data-rich, artificial intelligence plays a pivotal role in enabling smart supervision, real-time condition monitoring, advanced diagnostics, and data-driven decision support for operations and maintenance. AIMCS 2026 will showcase state-of-the-art research, practical applications, and cross-disciplinary perspectives illustrating how AI technologies enhance reliability, safety, efficiency, and sustainability across modern industrial environments.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

link : https://easychair.org/my2/conference?conf=aimcs2026 

Publication

All submitted papers will undergo a rigorous peer-review process by 2–3 experts from the conference committees. Accepted papers, upon successful registration and presentation, will be included in the conference proceedings, published by IEEE, and submitted for indexing in EI Compendex, Scopus, and IEEE Xplore (pending approval).

List of Topics

Track 1: AI for Condition Monitoring & Diagnostics

• Data-driven condition monitoring
• Fault detection, isolation, and diagnosis
• Anomaly detection in industrial systems
• Sensor fusion and feature extraction
• Health indicators and degradation modeling
• Machine learning for predictive maintenance
• Deep learning for signal and image-based monitoring
• Real-time monitoring in IoT/IIoT environments
•  

Track 2: AI for Supervision, Control & Optimization

• Supervisory control and data acquisition (SCADA) with AI
• Reinforcement learning for control
• Model predictive control and AI-enhanced controllers
• Operational optimization and decision support
• Digital twins for supervisory control
• Human–machine interaction and decision support systems
• Adaptive and robust control using AI
• Safety and reliability in AI-enabled control systems

Track 3: Applications & Case Studies

• Manufacturing systems and production lines
• Energy systems, power plants, and smart grids
• Process industries (oil & gas, chemical, pharma)
• Transportation, logistics, and autonomous systems
• Robotics and collaborative robots (cobots)
• Infrastructures and critical assets
• Cross-industry benchmarks and comparative studies
• Industrial success stories and lessons learned

Committees

General Chair

• Prof. David Bassir, Senior IEEE Member, Dongguan University of Technology (DGUT), China / Paris-Saclay University, France

Technical Chairs

• Dr. HDR. Hichame Maanane, Chairman of the IEEE France Reliability Chapter, THALES DMS, France
• Prof. Jaafar Gaber, Scientific Committees of IEEE France section, Université de technologie de Belfort Montbéliard (UTBM), France

Technical Committee Members

• Assoc. Prof. Nasim Boudaoud, University of Technology of Compiègne, France
• Prof. Pierre Dahoo, Paris-Saclay University, France
• Prof. GongFa Chen, Dongguan University of Technology, China
• Assoc. Prof. Ata Jahangir Moshayedi, Senior IEEE Member, Jiangxi University of Science and Technology, China
• Prof. Mohammad Talha, IIT Mandi, India
• Prof. Abdelkhalak El Hami, INSA Rouen / Normandy University, France
• Prof. MingJun Zhang, Sino-French Institute, Dongguan University of Technology, China
• Prof. Zied Moumni, ENSTA Paris, France
• Prof. Ghanshyam G. Tejani, Avinashilingam University, India
• Dr. Ho Si Hung Nguyen, The University of Danang – University of Science and Technology, Vietnam

Organizing Committee Members

• Prof. Pierre Dahoo, Paris-Saclay University, France
• Assoc. Prof. Hai-Canh VU, University of Technology of Compiègne (UTC), France

Publication

AIMCS 2026 proceedings will be published in ...

by IEEE France

Venue

Paris, France

MILLENNIUM HOTEL PARIS CHARLES DE GAULLE, PARIS, FRANCE

Address: Hotel Zone 2 Allée du Verger, Roissy-en-France,95700 Paris, France

Website: Hotel WebsiteTel: +33 1 342 93333 Transportation: Paris Charles de Gaulle Airport – about 5 minutes drive (3.4 km)

Contact

Email: committee@aimcs2026.org

When contacting us, please include your name, affiliation, and paper ID (if applicable).