AI FOR THE PROCESS INDUSTRIES
Paris Dauphine – PSL and SECF join their expertise to contribute to increase efficiency and competitiveness
Europe’s process industries sits at the center of the energy transition, circular economy, and strategic autonomy. Between now and 2050, competitiveness will depend on turning sustainability requirements into engineering advantage: designing circular products, deploying low carbon manufacturing at scale, and operating plants as data driven, resilient systems. Using AI tools becomes imperative.
REGISTRATION
Registration fees
PROGRAM
SUBMISSIONS
PRESENTATION TYPE
Oral presentation
20 minutes for the talk
5 minutes for Q&A
Deadlines
Extended Submission Deadline – 30 April 2026
Acceptance Notification – 12 May 2026
Early bird registration – 29 May 2026
Conference: 11 & 12 June 2026
CHAIRMEN
Jean-Pierre Dal Pont
SECF President, France
Tristan Cazenave
Paris Dauphine - PSL, France
CO-CHAIRMAN
Patrick Maestro
Académie des Technologies, France
FEATURED SPEAKERS
Gaëtan Bellot
INSERM, France
Talk title: Designing shape and function with DNA molecule at the nanoscale
Michelangelo Canzoneri
Global Head of Group Smart Manufacturing, Group Smart Manufacturing, Science & Technology, Merck KGaA Darmstadt, Germany
Talk title: Our journey from MANUfacturing to SMARTfacturing – Miss the shift, miss the future!
David Cameron
University of Oslo, Norway
David Cameron is Project Development Manager at the Science Centre for Data and Computational Science at the University of Oslo. He is a Chemical Engineer, with a specialization in process systems engineering – simulation, control and data modelling. He has worked for and with companies such as BHP, Norsk Hydro, Fantoft, Kongsberg Group, Aibel and IBM in the development and application of IT for process design, control and optimization. He earned his PhD from the University of Cambridge.
Talk title: Digital Engineering: The Digital Process, Asset and Project
Élie Hachem
Full Professor at Mines Paris – PSL and Director of CEMEF
Hind Hafdi
IA Practice Director, Randstad Digital
Vincent Mallet
CBIO, Mines Paris - PSL, Institut Curie, France
Talk title: Machine Learning to accelerate RNA structure-based drug design : current challenges and opportunities
Hélène Moumrikoff
Director of the Department of Economic Affairs, International Affairs, and Innovation, France Chimie
Talk title: AI & Chemistry: Opportunities and Challenges in a Context of Global Competition
Florent Padois
Hutchinson
Talk title: AI in Industrial Processes: How Can Rubber Mixing Benefit from a Data-Driven Approach?
Sébastien Preys
PhD, Data Science Project Manager, Ondalys
Talk title: AI, Machine Learning and Analytical Sciences for the process industries: tools and applications
Ismahane Remonnay
Head of Anticipation & Risk at Veolia
Ismahane Remonnay is a senior international executive with over 20 years of experience in industrial strategy, enterprise risk management, and large-scale transformation in highly regulated environments.
She currently serves as Head of Anticipation & Risk at Veolia, steering strategic foresight, global risk frameworks, scenario planning, and international partnerships critical to long-term industrial transformation. In parallel, she leads a program of industrial and technological transformation, with a forward-looking focus on the evolving role of the engineer, industrial design, the future of measurement, and the place of physical AI in tomorrow’s production systems.
A recognized authority in water, chemicals, health, and environmental governance, she contributes to advisory boards and strategic task forces nationally and internationally. She is also a PhD candidate in Electrical & Computer Engineering, applying AI modeling to reimagine and transform industrial production processes.
Talk title: Exploring the Megatrends Shaping the Industries of Tomorrow – Role of AIs
Guy-Noël Sauvion
Former Fellow at Solvay
Guy-Noël Sauvion, who holds a degree in Chemical Engineering from the CPE Lyon and a Ph.D. in Chemical Engineering from Chimie ParisTech, has held various positions in research, process engineering, and economic and environmental assessment at Rhône-Poulenc, Rhodia, and Solvay. As a Fellow of the Solvay Group, he contributed, through his participation in various international bodies, to the development of methodologies and indicators for managing the sustainability of industrial processes and products.
Now retired, he is an active member of the Société des Experts Chimistes de France and an expert for the Solar Impulse Foundation.
Talk title: How could AI accelerate the transition to more sustainable chemical products?
Lilivet Ubeira Ruiz
Sanofi
Talk title: Rethinking Process Development: Data, AI, and Cause–Effect Relationships
SESSION CHAIR
Guo-Hua Hu
Professor of Process Engineering at the Université de Lorraine, Honorary Member of the Institut Universitaire de France, and Fellow of the European Academy of Sciences
PROGRAM COMMITTEE
Jean-Pierre Dal Pont – SECF President, France
Tristan Cazenave – Paris Dauphine – PSL, France
Joël Barrault – SCF, France
TOPICS
1. AI for Process Optimization & Control
- Reinforcement learning for advanced process control (APC)
- AI-enhanced Model Predictive Control (MPC)
- Real-time optimization (RTO) using machine learning
- Hybrid first-principles + ML models
- Nonlinear and multivariable process modeling
- Soft sensors and virtual analyzers
- AI for batch vs. continuous process optimization
2. Digital Twins & Simulation
- AI-enabled digital twins for plants and assets
- Physics-informed neural networks (PINNs)
- Surrogate modeling for computational fluid dynamics (CFD)
- Hybrid simulation environments
- Closed-loop digital twins for operations
- Digital twins for operator training
3. Predictive Maintenance & Asset Reliability
- AI for predictive maintenance in rotating equipment
- Anomaly detection in process data
- Remaining Useful Life (RUL) estimation
- Root cause analysis using ML
- Reliability-centered maintenance with AI
- Edge AI for condition monitoring
4. Monte Carlo Tree Search
- Retrosynthesis
- Parameters optimization
- Molecule design
- Modeling complex systems
- Formula optimization
- Material Design
5. Energy Efficiency & Sustainability
- AI for energy optimization in refineries and plants
- Carbon footprint monitoring and reduction
- AI for electrification and decarbonization strategies
- Process integration and heat recovery optimization
- AI for hydrogen production and storage
- Waste minimization and circular economy
6. Safety, Risk & Compliance
- AI for process safety monitoring
- Early warning systems for abnormal situations
- Hazard identification using NLP
- Risk modeling and probabilistic AI
- AI for regulatory compliance and reporting
- Cyber-physical risk detection
7. AI in Chemical & Materials Development
- AI for catalyst discovery
- Machine learning in reaction optimization
- Autonomous laboratories (self-driving labs)
- AI-guided formulation development
- Materials informatics
- Generative models for molecular design
8. AI & Industrial Data Infrastructure
- Data governance in process industries
- Time-series modeling for industrial data
- Data quality and sensor fusion
- Edge vs. cloud AI architectures
- Industrial IoT and AI integration
- MLOps for manufacturing environments
9. Generative AI & Knowledge Systems
- Large Language Models (LLMs) for plant documentation
- AI copilots for operators and engineers
- Automated report generation
- AI for troubleshooting and knowledge retrieval
- Conversational interfaces for control rooms
10. Supply Chain & Planning
- AI for production scheduling
- Demand forecasting in process industries
- Inventory optimization
- Supply chain resilience modeling
- AI-driven logistics optimization
11. Human–AI Collaboration
- AI adoption strategies in industrial environments
- Change management for AI transformation
- Trust and explainability in industrial AI
- Operator-in-the-loop AI systems
- Workforce upskilling for AI-enabled plants
12. Advanced Methods & Research Frontiers
- Causal AI for industrial systems
- Uncertainty quantification in ML models
- Transfer learning across plants
- Federated learning for industrial sites
- Multi-agent systems for plant-wide optimization
- Graph neural networks for process networks
13. Industry Case Studies
- AI deployment in refineries
- AI in specialty chemicals production
- AI in food and beverage manufacturing
- AI in pharmaceutical manufacturing
- AI in pulp & paper operations
WEBINAR ACCESS
Conference Room
Opens 30 minutes before the conference starts
How does it work ?
This dashboard has been built with the aim of duplicating the same environment as an in-person conference, you will find below the usual conference areas: conference room and welcome desk.
Each participant will be able to join the area she/he is interested in by simply clicking on the corresponding button.
The welcome desk room allows you to talk to a staff member who is available to help you. If you encounter any difficulty in connecting to the welcome desk room then use the chat room which should appear on the bottom right corner of this page during the whole conference.
ORGANIZERS
SPONSORS & PARTNERS
Comprehensive Package (€500 excl. VAT)
This package includes:
Company logo displayed on the conference website in the list of sponsors
Post on LinkedIn announcing the company’s participation
Company logo on a slide during a break
Additional Options (excl. VAT)
Larger logo on the conference website: €100 excl. VAT
Display of a sponsor slide during a break: €250 excl. VAT
5-minute presentation during the conference: €650 excl. VAT
All prices are excluding VAT.