The International Conference TRAI 2026 aims to bring together researchers, industry professionals, engineers, designers, and innovation specialists to examine the synergy between TRIZ, Artificial Intelligence (AI), and Optimization as a cornerstone for next-generation problem solving, inventive design, and intelligent decision-making.

The convergence of these three domains is profoundly reshaping the way complex systems are conceived, analysed, and optimized. While artificial intelligence and optimization techniques offer powerful computational and analytical capabilities, they often remain constrained by predefined models, limited design spaces, or local optima. In contrast, TRIZ, grounded in systematic inventive principles and contradiction-oriented thinking, provides a structured framework to overcome these limitations, stimulate breakthrough innovations, and guide original exploration beyond conventional solutions.

TRAI 2026 invites original contributions addressing theoretical advances, methodological frameworks, and real-world applications that integrate TRIZ theory, artificial intelligence, and optimization into unified and coherent processes. The conference aims to foster interdisciplinary exchanges and promote innovative solutions applicable across a wide range of scientific, industrial, and societal domains.

Aims and Objectives

TRAI 2026 pursues several scientific and industrial objectives:

• Scientific and Methodological Objectives
  • Develop integrated models combining TRIZ, AI, and optimization for innovative design, inventive and systematic innovation processes.
  • Explore AI-enhanced creativity using generative models, symbolic reasoning, large language models, and hybrid approaches.
  • Investigate methods enabling autonomous or semi-autonomous inventive systems.
  • Explore sustainability challenges through eco-inventive design.

• Industrial and Applied Objectives
  • Present computational tools and platforms enabling AI-driven innovation workflows.
  • Demonstrate real applications in complex systems (engineering, healthcare, energy, mobility, manufacturing, etc.).
  • Integrate TRIZ and AI in decision support (risk management, safety, supply chains, and operations).

• Strategic Objectives
  • Promote dialogue between academia and industry for next-generation innovation systems.
  • Address ethical, legal, intellectual property, and societal implications of AI-enabled inventive design.
  • Support emerging research and foster international collaboration.

Main Topics of Interest

TRAI 2026 welcomes contributions in (but not limited to) the following areas:

• A. TRIZ, Inventive Thinking & Innovation Science
  • Advances in TRIZ theory and computational TRIZ
  • TRIZ for complex engineering systems
  • Contradiction analysis and inventive principles enhanced by AI
  • TRIZ-based modelling of innovation processes
  • Agent-based and multi-agent TRIZ systems for problem decomposition, contradiction resolution, and solution synthesis
• B. Artificial Intelligence for Creativity & Engineering
  • Generative AI, large language models, and design assistants
  • Machine learning and symbolic AI for engineering
  • Hybrid reasoning and intelligent search for inventive solutions
  • AI-enhanced decision-making in engineering and operations
  • AI-supported ARIZ workflows
  • Integration of TRIZ with automated knowledge extraction from patents, standards, and scientific literature
  • Evaluation and validation of AI-generated inventive concepts (robustness, feasibility, IP relevance, FTO)
  • Human–AI collaboration models in inventive problem-solving (roles, trust, responsibility)
• C. Hybrid TRIZ–AI–Optimization Frameworks
  • Unified models for inventive engineering
  • Digital twins for innovation and design
  • Autonomous innovation systems
• D. Applications in Engineering, Industry, Transport, Health, etc.
  • Manufacturing, additive manufacturing, and industrial processes
  • Energy systems, smart grids, and sustainability
  • Healthcare engineering and biomedical design
  • Supply chains, logistics, and operations management
  • ICT, cyber-physical systems, and Industry 5.0
• E. Ethics, Education, Governance, and Innovation Management
  • AI creativity and intellectual property
  • Responsible AI in creative systems
  • Innovation governance and strategic management
  • Socio-economic impacts of AI-driven inventive systems
  • Various teaching approaches of TRIZ-AI for inventive design

Special Sessions (Proposed)

The conference will include several invited special sessions. Researchers wishing to organize special sessions may submit proposals to the Organizing Committee.

Examples:

• AI-Driven TRIZ for Industrial Problem-Solving
• Optimization and Inventive Design in Mechanical and Manufacturing Engineering
• Digital Twins and AI for System Innovation
• Multi-Objective Optimization for Sustainable and Resilient Inventive Systems
• Explainable AI and Human–Machine Co-Creation
• PhD Forum on TRIZ, AI, and Optimization
• and related topics

Call for Contributions

We invite researchers, practitioners, and industry professionals to submit papers, case studies, and presentations on the topics outlined above. Contributions should be original and add significant value to the field of AI-powered innovation and TRIZ methodology.

Submission Guideline

Formats:

• Full papers (6–12 pages) – Research and practical implementation contributions
• Short papers (1–2 pages) – Work in progress (only oral presentation)
• Posters/Demos (1 page)

All submissions must follow the Springer Conference Proceedings Template (Word or LaTeX).

Review Process:

• A minimum of two reviewers per paper
• Evaluation criteria: originality, scientific quality, clarity, relevance

Important Dates

• Opening of Submissions: January 15, 2026
• Abstract Submission Deadline: February 15, 2026
• Notification of Abstract Acceptance: March 15, 2026
• Full Paper Submission Deadline: May 15, 2026
• Notification to Authors: June 15, 2026
• Camera-Ready Submission: July 15, 2026
• Conference Dates: October 21–23, 2026

Publication Opportunities

Conference Proceedings

All accepted papers will be published in the Springer Proceedings (series to be confirmed).

Extended Versions in Indexed Journals

Selected high-quality papers will be invited to submit extended versions for publication in special issues or fast-track review in:

Examples of journals will be announced soon.

Committees

Professional & Scientific Committee

This Committee of TRAI 2026 is composed of a distinguished panel of academic and industrial experts with recognized expertise in the fields of TRIZ, AI, and optimization. (To be completed)

• Abdessalem Jerbi: University of Sfax, Tunisia
• Alaeddine Zouari: University of Sfax, Tunisia
• Amadou Coulibaly: INSA de Strasbourg, France
• Anna Kruzenshtern: LUT University, Finland
• Ayoub Tighazoui: University of Strasbourg, France
• Belfiore Jim: Innovation Insights for Corning, USA
• Christian Spreafico: University of Bergamo, Italy
• Christian Thurnes: HS Kaiserslautern, Germany
• Christoph Dobrusskin: Philips, The Netherlands
• Claudia Hentschel: HTW, Germany
• Davide Russo: University of Bergamo, Italy
• Denis Cavallucci: INSA de Strasbourg, France
• Diala Dhouib: University of Sfax, Tunisia
• Didérot-Déraillet Tadja: Polytech Montréal, Canada
• Elizaveta Girshova: LUT University, Finland
• Etienne Meriaux: CHANEL, France
• Fatma Lehyani: University of Sousse, Tunisia
• François Marmier: University of Strasbourg, France
• Hicham Chibane: INSA de Strasbourg, France
• Ioana Filipas: University of Strasbourg, France
• Irshad Yahya: University of Engineering and Technology, Pakistan
• Jaroslaw Turkiewicz: Warsaw University of Technology, Poland
• Jens Träger: Founder & CEO – Truinorva GmbH, Germany
• Jerzy Chrzaszcz: Warsaw University of Technology, Poland
• Jihene Jlassi: University of Sfax, Tunisia
• Joanna Majchrzak: Poznan University of Technology, Poland
• JUNG-HYEON Kim: Kumoh National Institute of Technology, Korea
• Kai Hiltmann: Coburg University, Germany
• Lorenzo Maccioni: Free University of Bozen-Bolzano, Italy

• Marek Mysior: Wroclaw University of Science and Technology, Poland
• Marwa Ben Moallem: ESTA Belfort, France
• Mickael Gardoni: ÉTS, Canada, Québec
• Mohamed Amir Keskes: CY Cergy Paris University, France
• Nicola Maranzana: ENSAM, Paris, France
• Nicolas Douard: INSA de Strasbourg, France
• Oleg Abramov: GEN TRIZ, Russia
• Oleg Feygenson: MATRIZ Official, Samsung, Korea
• Pavel Livotov: Offenburg University, Germany
• Pavel N. Fimin: GEN TRIZ, LLC, Russia
• Peiman Porbaha: TRIZ & Innovation Researcher, Iran
• Piotr Palka: Warsaw University of Technology, Poland
• Rachide Benmoussa: Cadi Ayyad University, Morocco
• Ralf Laue: University of Applied Sciences Zwickau, Germany
• Rami Gdoura: Sigma Clermont, France
• Remy Houssin: University of Strasbourg, France
• Robert Nowak: Warsaw University of Technology, Poland
• Roland Deguio: INSA de Strasbourg, France
• Sana Bouajaja: University of Carthage, Tunisia
• Sebastien Dubois: INSA de Strasbourg, France
• Souhail Dhouib: University of Sfax, Tunisia
• Stelian Brad: Technical University of Cluj-Napoca, Romania
• Stephane Negny: INP Toulouse ENSIACET, France
• Tugba Cetinturk: R&D / Innovation Management Consultant, Türkiye
• Vladimir Sizikov: SIEGENIA GROUP, Germany
• Wafik Hachicha: University of Sfax, Tunisia
• Zied Hajej: University of Lorraine, France

Organizing Committee

• General Chair: M. Alaeddine Zouari
• Program Chairs: Ms. Diala Dhouib, M. Rémy Houssin
• Publication Chair: M. Alaeddine Zouari, Ms. Diala Dhouib, M. Rémy Houssin, Ms. Fatma Lehyani
• Industrial Liaison Chair: Ms. Fatma Lehyani
• Finance Chair: M. Karim Kammoun
• Publicity and Media Chair: M. Mohamed Amir Keskes, Ms. Marwa Ben Moallem, M. Rami Gdoura
• Local Organization Team: M. Nizar Mtibaa, Ms. Khouloud Dammak, Ms. Ibtissem Alguirat, Ms. Yasmine Bouaziz, Ms. Anouar Jlailia, Ms. Imene Bnouni