AI Circular Economy Conference 2026 – How AI innovations drive the future of circular materials
The AI Circular Economy Conference, organised by nova-Institute, takes place in Cologne, Germany, and online on March 4–5, 2026. The event brings together top experts from AI development, chemical manufacturing, recycling, materials science, biotechnology, and investment to explore how artificial intelligence is shaping the transition to circular and sustainable material systems. The conference features 26 cutting-edge presentations from speakers representing 12 countries. The opening keynote by the nova-Institute will address the strategic relevance of using artificial intelligence at the intersection of renewable carbon, highlighting new pathways and future challenges on the road to sustainability.
Artificial Intelligence is unlocking the vast potential of circularity and renewable carbon sectors by making processes, materials, and business models smarter and more efficient throughout the entire value chain – from feedstock innovation to reuse. Topics include transparency and traceability (digital passports), AI-driven molecular design, process control for depolymerisation, supply chain management, and sustainability assessments. As society demands rapid transformation, AI may provide essential tools for upscaling the use and the production of renewable carbon derived from biomass, recycling and carbon capture utilisation.
The Program: Five Thematic Blocks
Participants will engage with leading figures from renowned companies, groundbreaking start-ups, and world-class research institutions. The program is organised into five thematic blocks, showcasing the diversity and impact of AI applications across digital twins, process optimisation, advanced recycling, market analysis, and bioeconomy solutions.
Opening: Welcome Address and Keynote Speech by CEO Lars Börger (nova-Institute): In his opening speech, Lars Börger will highlight the role of artificial intelligence as a key driver for the renewable carbon economy.
Block 1 — Digital Foundations for Circular Transformation
Session 1: Digital Twins, PINNs & Process Intelligence
• Mexis Konstantinos, SYMBIOLABS Circular Intelligence (GR): Bioreactor Digital Twins: Process Intelligence Using AI and ML
• Othen Rosario & Pohlmeyer Florian, Institut für Textiltechnik der RWTH Aachen University (DE): From Data to Decisions: Digital Twins and Data Spaces
• Krause Dennis, Covestro (DE): From Digital Polyurethane Processing to AI: Generating Insights into Production Readiness of Circular Solutions
Block 2 — Smart Production & Industrial Efficiency
Session 2: AI-Optimised Operations in Manufacturing
• Largeteau Delphine, Schneider Electric Systems Germany GmbH (DE): Unlocking Digital Circularity: A Game Changer!
• Heuvel Flemming, ITA – Institut für Textiltechnik der RWTH Aachen University (DE): AI-Driven Process Optimisation and Recycled Fiber Control in Paper Manufacturing
• N.N., FINDIQ GmbH (DE): Producing Efficiently and Empowering Tomorrow’s Skilled Workers
Block 3 — Advanced Materials, Chemical Intelligence & Recycling Pathways
Session 3A: AI for Sustainable Materials Discovery
• Lotfi Samira, National Research Council of Canada (CA): Catalyst Design for Conversion of Syngas-to-Ethanol: A Machine Learning Approach
• Aniban Xaiza, ExoMatter GmbH (DE): AI-Powered Acceleration of Sustainable Materials R&D
• Vasudevan Naveen Kumar, Oligomaster Inc. (CA): Breaking the Materials Innovation Bottleneck
• Urbanus Jan Harm, TNO (NL): Unlocking the Potential of AI-driven Bio-based Polymer Design
Session 3B: AI for Mechanical & Chemical Recycling Quality
• Hermann Matthias, Citrine Informatics (USA): Making Chemical and Mechanical Recycling More Productive Using AI
• Römhild Daniel, WIS Kunststoffe GmbH (DE): Challenges and Limitations of High-quality PCR Regranulates
• Nasiri Ghiri Maryam, University of Lancashire (UK): CO₂ Capture under Atmospheric Conditions Using MOFs
Block 4 — Intelligent Resource Flows, Market Dynamics & Investment
Session 4A: AI for Sorting & Feedstock Intelligence
• Große Thomas, Volkswagen AG (DE): Classification of Automotive Black Plastics Through Middle-Infrared Hyperspectral Imaging and Trained Neural Networks
• Sama Valerio, TOMRA Sorting GmbH (DE): Advancing Sorting: AI Innovations Driving full Material Circularity
• Kutschenreuter Johanna, Ehrenmüller GmbH (DE): KIKS – AI-Powered Platform for the Plastics Industry
Session 4B: AI for Economic Modelling & Market Strategy
• Zambujal-Oliveira João, NOVA LINCS | University of Madeira (PT): Bridging ESG and Financial Performance
• Kunlere Idowu, University of Delaware (USA): Agent-Based Modelling of Plastic Circularity under Constraints
• Jetzer Peter, Recycario Data Science Institut (DE): AI – the Decision Compass for the Economic use of Regranulates
• Brandkamp Michael, European Circular Bioeconomy Fund ECBF (DE): Investing in AI Driven Start-ups in the Circular Economy
Block 5 — Societal Integration, Bioeconomy & Future Horizons
Session 5A: Waste-to-Value & Bioeconomy Innovation
• Liaqat Ali, Liaqat Corp (PVT) Ltd | PCSIR (PK): PCSIR Community-Based Mobile Common Drying & Waste-Processing System
• Cuquel Alexis, Kanadevia Inova (CH): Optimizing Biomethane Production Through AI-Driven Feed Planning in Anaerobic Digestion Plants
• Rerop Zora, Dahlia Biotech (DE): Efficiency and Scaling in the Industrial Biotechnology
Session 5B: Society, Skills & Responsible Innovation
• Bossler Ana, University of Alicante (ES): Factor-Based Virtual Agent Simulation for Consumer Acceptance of Recycled Plastics
• Patzelt Dominik, VCG.AI GmbH (DE): Accelerating the Circular Economy With Data Intelligence
• Hummert Christian, Agentur für Innovation in der Cybersicherheit GmbH (DE): AI and Cyber Security in Chemical Industry
Registration for the AI Circular Economy Conference 2026 is now open.
Find the full program can be found here: ai-circulareconomy.eu/program