Event Will Start In

0 DAYS
00 HOURS
00 MINUTES
00 SECONDS

EDF Campus, Paris - Saclay

Saclay - FRANCE

November 5 - 7, 2025

09:00 AM – 05:00 PM

120 Available Seats

Hurry up! Tickets won't last!

Lunch & Snacks onsite in the registration package

Don’t miss it

Event Schedules

Please come back often as schedule is subject to
change on regular basis

Wed Nov 5th

Timming
Amphis 1&2
Rooms A1.133 Fermi & A1.139 Germain
08h00–08h45
Registration
08h45–09h00
Opening Ceremony — Introductory session
09h00–09h45
Keynote 1 Oliver Gerundt (Bosch) Keynote 1 Oliver Gerundt (Bosch)
 
Contradictions & LLM
Industrial applications: energy, water, manufacturing, packaging
09h45–10h10
Contradiction Formulation Using Large Language Models and Generative AI — Marek Mysior; Denis Cavallucci
Clean Fire, Green Future: Inventive Solutions for Waste-to-Energy Technology — Elizaveta Girshova; Mikhail Kaliteevski; Leonid Chechurin
10h10–10h35
Contradiction processing using Large Language Models and Generative Artificial Intelligence — Mustafa Çakir; Claudia Hentschel
Classification of Geometric Effects Based on the 40 Inventive Principles — Matteo Cattaneo; Christian Spreafico; Davide Russo
10h35–11h00
Technical Contradiction Extraction Based on Two-Stage Knowledge Fusion Mechanism — Wenjun Sun; Yajuan Zhao; Chongjun Xi; Lucheng Lyu
Bridging the Innovation Gap: Insights From an Electrostatic Dust Precipitator for Mongolia — Swen Günther; Gunther Claus Stehr; Philipp Kaiser
11h00–11h30
Pause café
11h30–11h55
AI-Aided Anticipatory Protection of Inventions Against Technical Non-Infringing Patent Circumvention — Pavel Livotov; Hans Joachim Gerstein; Alexander Müller
Research on Opportunities Identification and Implementation Methods Based on Multi-layer Knowledge Graphs — Jianguang Sun; Delong Zhang; Xiangjie Lin; Yongsheng Zhai
11h55–12h20
AI-Powered Patent Classification: A Hybrid Approach Merging Algorithms and LLMs — Guido Giuntelli; Davide Russo; Christian Spreafico; Andrea Precorvi
Systematic Cause Elimination in TRIZ Cause-Effect Models With Partially Defined Logical Operators — Jerzy Chrząszcz
12h20–12h45
AI-Based Metric for the Scientific Text Novelty — Anna Kruzenshtern; Viktor Dodonov; Leonid Chechurin
CPU-Efficient Verification of Science Problem-Solution Pairs: Design Rationale and Baselines — Nicolas Douard; Ahmed Samet; George Giakos; Denis Cavallucci
12h45–14h00
Lunch & Networking break
14h00–14h45
Keynote 2 Richard Platt (Ex-Intel) Keynote 2 Richard Platt (Ex-Intel)
 
Patents, drafting & protection
Robotics, Modeling & Automation
14h45–15h10
Enhancing Patent Drafting Through Contradiction Identification — Paolo Carrara; Guido Frigieri; Margherita Sarti
AI-Driven Robot Programming Optimization Using TRIZ Principles for Efficient and Seamless Deployment — Bogdan Balog; Stelian Brad; Emilia Brad; Vasile-Dragos Bartos; Diana Ticudean; Alexandru-Gabriel Cirlejan
15h10–15h35
Discovery Omnia: Dynamic RAG for Enhanced Patent Analysis and Systematic Innovation — Simone Avogadri; Giovanni Alzetta; Davide Russo
Automated TRIZ Function Model Generation Using Large Language Models: An Ontology-Guided Framework for Engineering Problem Analysis — Yindi Sun; Guoxin Cao; Jiangkai Jia
15h35–16h00
Leveraging Large Language Models and TRIZ: A Multi-Agent Framework for Automated Patent Drafting and Innovation Generation — Xingyu Guo; Yi Tan; Rui Chen
Large Language Model-based Functional Modeling of Technical Systems — Marek Mysior; Łukasz Zyga; Christian Iniotakis
16h00–16h30
Coffee Break
 
AI & TRIZ Tools automation
AI-Augmented Research work
16h30–16h55
Investigating the Integration and Adaptation of ARIZ With Large Language Models — Iliass Ayaou; Denis Cavallucci; Hicham Chibane
AI-Augmented Discovery of Inventive Principles for Self-Contradictory Parameters in the TRIZ Matrix — Stelian Brad; Alexandru Cirlejan; Emilia Brad; Ionut Chis
16h55–17h20
Breaking Industry Barriers: Using AI to Contextualize TRIZ Principles Across Diverse Sectors — Jerzy Obojski
Comparative Study on AI-Augmented Inventive Problem Solving With TRIZ, TRIZ-AI Hybrid, and Autonomous AI: An Inline Coating Measurement Case in Lithium-Ion Cell Production — Pavel Livotov; Norbert Huber; Claudia Hentschel; Oliver Mayer; Jens Träger; Gunther Bohn; Leonard Höcht; Mara Isabel Kläb; Laura Kuhlmann; Mas’udah; Bruno Scherb; Frank Clemens Schnittker; Jochen Wessner; Wolfgang Weydanz
17h20–18h20
4 Demo Software Corner

Thur Nov 6th

Timming
Amphis 1&2
Rooms A1.133 Fermi & A1.139 Germain
09h00–09h45
Keynote 3 Etienne Mineur (CEO Volumique) Keynote 3 Etienne Mineur (CEO Volumique)
Exploration & inventive ideation
Forecasting & evolution
09h45–10h10
A Symbolically-Guided Explorative AI Framework for Early-Stage Inventive Design — Stelian Brad; Bogdan Balog; Emilia Brad; Diana Ticudean; Vlad Trifan; Alexandru Cirlejan; Anca Stan
AI-Powered Identification of Main Parameters of Value (MPVs) for Trends of Engineering System Evolution (TESE): Benchmarking Language Models on Wound Care Medical Device Patents — Mostafa Ghane; Denis Cavallucci; Nadra Najiha Barakathulla
10h10–10h35
Dynamic Swarm Intelligence and Generative AI for Integrated Inventive Design — Stelian Brad; Emilia Brad; Anca Stan; Vlad Trifan
Evaluating LLM performance in TRIZ-based system forecasting: a study using 9-windows — Mélusine Caillard; Giacomo Bersano
10h35–11h00
AI-Driven Inventive Design and TRIZ for an Affordable, High-Efficiency Solar Tracking System — Stelian Brad; Vasile-Dragos Bartos; Emilia Brad; Bogdan Balog; Alexandru-Gabriel Cirlejan; Diana Ticudean
Measuring Transdisciplinarity in Startups With NLP and TRIZ Principles — Connor MacLean; Denis Cavallucci
11h00–11h30
Coffee Break
Exploration & Inventive ideation
TRIZ & pedagogy
11h30–11h55
Enhancing AI-Generated Solutions With Visual Retrieval-Augmented Generation (V-RAG): A Framework for Problem Formulation — Mas’udah; Pavel Livotov; Niklas Hartmann; Saptadi Nugroho; Björn Ragnar Kokoschko; Wanyu Xu; Büşra Meral; Mostafa Ghane; Benedicta Fofo Doku
Can Storytelling Increase Engineers’ Motivation to Learn TRIZ Through Digital E-Learning? — Fadime Aksoy; Hilal Koc; Denis Cavallucci
11h55–12h20
Leveraging Problem Graph Extraction and Improvement Perspectives for AI-Assisted Invention — Nathan Witkowicz; Hicham Chibane; Denis Cavallucci
Study on PBL (Problem/Project-Based Learning) Based on TRIZ Methodology — Jung-Hyeon Kim
12h20–12h45
TRIZ Meets SPRINT: A Structured Approach to Sustainable Filtration Design With AI-Based Comparative Reflections — Marco Tatti
A TRIZ and Socratic AI-Based Problem-Solving Framework — Johari Abdullah; Halikul Lenando; Prakrithi Narayanan
12h45–14h00
Lunch breat & Networking session
14h00–14h45
Keynote 4 Bruno Betoni Parodi (BASF) Keynote 4 Bruno Betoni Parodi (BASF)
Case applications of TRIZ + AI
Decision & value
14h45–15h10
A Methodological Framework Integrating TRIZ and AI to Address Complex Design Contradictions: Application to an Innovative Prosthetic Thumb — Margherita Nada; Iliass Ayaou; Hicham Chibane; Philippe Liverneaux; Denis Cavallucci
Requirement- and Service Quality-Driven Service Design for Cross-Border E-Commerce Export Service Optimization Incorporated With TRIZ and Generative AI — Jiaxuan Qiao; Yan Liu; Ziyan An; Ching-Hung Lee
15h10–15h35
AI-Driven Inventive Design and TRIZ for an Affordable, High-Efficiency Solar Tracking System — Stelian Brad; Vasile-Dragos Bartos; Emilia Brad; Bogdan Balog; Alexandru-Gabriel Cirlejan; Diana Ticudean
Resilient Innovation Portfolio Management- Exploring Alternative Approaches — Nikhil Phadnis; Marko Torkkeli
15h35–16h00
Innovative Dryer Packaging Design Based on AI-TRIZ — Jiangkai Jia; Yindi Sun; Guoxin Cao; Weijun Xue; Chenzhou Ding
A Structured Decision-Making Framework for Evaluating TRIZ Solutions Using Multi-Criteria Analysis — Mohamed Amir Keskes; Remy Houssin
16h00–16h30
Coffee Break
Fundamentls & TRIZ extensions
16h30–16h55
Reinventing TRIZ Through Emergent Insight and the Power of Cognitive Negation — Stelian Brad
Seeking Additional Mitigation Strategies for State Machine Cause-Effect Modeling — Jerzy Chrząszcz
Holistic TRIZ: Extending the Theory of Inventive Problem Solving to All Types of Systems — Vladimir Petrov; Denys Petrov
Information Quality Improvement through Theory of Inventive Problem Solving – infological perspective and information user views — Joanna Majchrzak, Gerhard Wilhelm Weber
16h55–18h55
4 Demo Software Corner
19h00–23h00
Gala Dinner

Fri Nov 7th

Timming
Amphis 1&2
Rooms A1.133 Fermi & A1.139 Germain
09h00–09h45
Keynote 5: Isak Bukhman (TRIZ Master) Keynote 5: Isak Bukhman (TRIZ Master)
Contradiction management in System Engineering
TRIZ and Value
09h45–10h10
A New TRIZ-Based Approach for Resolving Contradictions in the Design of Lean 5.0 Manufacturing Systems — Rami Gdoura; Remy Houssin; Hicham Chibane; Diala Dhouib; Amadou Coulibaly
TRIZ in Speech Analytics: Overcoming the AI Precision-Resource Efficiency Contradiction for Scalable Contact Center Innovation — Alena Zhivotova; Valeria Zarembo; Victor Berdonosov
10h10–10h35
Artificial Intelligence for Contradiction Solving in Lean Green Supply Chain Performance Context: A Comparative Case Study — Fatima Ezzahra Essaber; Denis Cavallucci
Ontology-based AI Agent for Value-Conflict Mapping — Andrei Kuryan; Olga Eckardt; Valeri Souchkov; Siarhei Boika
10h35–11h
Coffee Break
11h–12h30
6 Demo Software Corner
12h30–14h00
Lunch
14h00–15h00
Closing Ceremony + Best Paper Award winner announcement
15h00–16h00
Panel Discussion: TRIZ and AI and TRIZ future

Who's Speaking?

TRAI2025 TRIZ + Artificial Intelligence conference

Oliver Gerundt — Robert Bosch GmbH

Oliver Gerundt

Senior Manager Engineering, TRIZ Expert, Futurist — Robert Bosch GmbH

Oliver is an experienced coach and trainer in systematic ideation and innovation. He specializes in creativity methods, product engineering, TRIZ, decision making, and innovation management. At Bosch Management Consulting since 2016, he supports projects and workshops with a structured approach to problem-solving, while training teams in TRIZ and ideation methods. He is also active in the German Innovation Network and previously spent 16 years in Gasoline Systems and CR focusing on concept development and innovation management.

Keynote: His keynote explores the adaptation of TRIZ for foresight and future thinking, particularly in strategy development. It delves into the methodology of the nine boxes, where TRIZ’ "Trends of Engineering System Evolution" can be combined with broader trends to anticipate future developments. Additionally, the keynote highlights the significant role of Artificial Intelligence (AI) in enhancing the future thinking process, enabling more accurate predictions and innovative strategies.

Richard Platt — Strategy & Innovation Group

Richard Platt

Strategy & Innovation Group — former Intel Corporate Intrapreneur

Richard is a System’s Engineer from the semiconductor industry working as a Research & Technology Development “Pathfinder”, a former Intel Corporate Intrapreneur, an internationally recognized TRIZ expert and Intel’s last “Innovation Master” — will share his journey of uncovering the fundamental system level architectural limitations of Artificial Intelligence LLMs and LRMs, culminating in a new architectural framework for AI developers and users of AI, to improve performance outcomes in their use and application of AI technology for competitive advantage and profitability. Drawing on his experience training Intel engineers how to more effectively do “advanced complex problem solving”, “problem shaping”, and “problem finding” where he embedding Systematic Innovation (TRIZ) methods into a F-100 Corporate enterprise’s complex problem-solving practices. Explaining the “why” and “how” structured and systematic innovation is indispensable and requisite for AI’s successful acceptance and adoption and further evolvement in enabling profitability and competitiveness in the companies it is used in. He will show how innovation theory and behavioral economics translate into concrete industrial results and outcomes.

Keynote: His keynote will guide us through the evidence that revealed AI’s blind spots, the insights he derived from them, and the solutions he now proposes for reshaping the future of R&D as well as the future success of AI as tool for complex problem solving, as it is currently being applied across the globe today.

Etienne Mineur — CEO and Creative Director @ LES EDITIONS VOLUMIQUES

Etienne Mineur

CEO and Creative Director @ LES EDITIONS VOLUMIQUES

renowned designer, educator, and pioneer at the crossroads of design and artificial intelligence—will bring a distinctive creative lens to the conference with his keynote “Designing with AI: from digital hallucinations to creative dialogue.” Founder of Éditions Volumique and long-time explorer of interactive design, he now investigates AI as a collaborator rather than a tool, treating prompts as incantations that summon unexpected visual and conceptual material.

Keynote: He will argue that AI’s imperfections—its biases and distortions—are fertile ground for creativity, provided that designers guide them with culture, intent, and critique. Drawing on his teaching experience at ENSCI, HEAD, and Camondo, Étienne will show how a new generation of designers negotiates these tools while forging innovative visual languages.

Isak Bukhman — TRIZ Master, President and Consultant of TRIZ. Solutions LLC, and Vice President of the Altshuller Institute for TRIZ. Studies

Isak Bukhman

TRIZ Master, President and Consultant of TRIZ. Solutions LLC, and Vice President of the Altshuller Institute for TRIZ. Studies

Isak Bukhman, a world-renowned TRIZ master and long-time researcher of the systems approach to developing new systems and improving existing ones, as well as related inventive problem solving, will examine the essence of human creative ingenuity.

Keynote: Isak will analyze the technology behind the main components of applied TRIZ from the perspective of human intelligence and artificial intelligence participation in this process. We need to determine where and how to use artificial intelligence (or what it truly entails) to enhance the effectiveness of our work.

Bruno Betoni Parodi — Senior Research Management and Consulting, MBB, TRIZ Practitioner — BASF

Bruno Betoni Parodi

Senior Research Management and Consulting, MBB, TRIZ Practitioner — BASF

Bruno is involved for more than 20 years with industrial research for large corporations in the areas of automation, control, robotics and AI. Since 2018 with BASF, Bruno has been tackling the challenges of digitalization on chemical industry, for both research and production. In 2019 Bruno was appointed as Scientific Director for BASLEARN Joint Lab with TU Berlin, the first of its kind for BASF exclusively about Machine Learning and Artificial Intelligence. Bruno is also a trainer and was the Quality Leader for GE at the first Research Facility opened at the south hemisphere, having helped building this facility from scratch and trained more than 100 researchers in six sigma and TRIZ.

Keynote: His keynote will delve into the journey of pattern recognition (and repetition) that led to TRIZ but also other similar methods from other areas of creative work. The caveats of applying these techniques in very specific domains. And the contradiction that might hinder innovation.

Aims & scopes

International Conference on AI-Powered Innovation and TRIZ Methodology 2025

“Artificial intelligence is revolutionizing scientific discovery, turning it into an accelerated quest where previously unimaginable hypotheses become possible by connecting dots beyond human cognition.”

— World Economic Forum, Top 10 Emerging Technologies of 2024, p.9, 2024.

The convergence of Artificial Intelligence (AI) and the Theory of Inventive Problem Solving (TRIZ) is redefining the landscape of scientific and technological innovation. Recent advances, such as the use of AI in scientific discovery, enable breakthroughs that were previously unimaginable, accelerating the pace of innovation. This conference aims to serve as a global platform to explore these synergies, foster interdisciplinary collaborations, and address the ethical, societal, and technological challenges associated with these advancements.

Objectives

  1. Integration of AI and TRIZ: Explore how AI can be combined with TRIZ methodologies to enhance the resolution of complex problems and drive innovation.
  2. Accelerating Scientific Discoveries: Discuss how AI can expedite the process of scientific discovery, particularly in fields such as medicine, green technologies, and life sciences.
  3. Ethical and Societal Considerations: Address the ethical implications of using AI in innovation, including issues of privacy, autonomy, and environmental impact.
  4. Interdisciplinary Collaboration: Foster collaboration among researchers, engineers, and professionals from various fields to share knowledge and experiences on the combined application of AI and TRIZ.
  5. Skill Development: Highlight the importance of continuous education in AI and TRIZ to prepare the innovators of tomorrow.

Main Topics

  • AI Foundations for Invention and Inventive Design
    Explore the fundamental principles of artificial intelligence that enhance inventive thinking and problem-solving, shaping the future of creativity in engineering and scientific research.
  • Advancements in Theory of Inventive Problem Solving (TRIZ)
    Present novel insights, theoretical refinements, and innovative methodologies that expand the TRIZ framework, integrating it with cutting-edge AI capabilities.
  • AI Algorithms and Architectures Supporting Creativity
    Delve into AI-driven approaches, including generative models, evolutionary algorithms, and neural networks, that augment human creativity and optimize the ideation process.
  • AI-Powered Innovation Management
    Examine how AI revolutionizes innovation management by accelerating idea generation, optimizing R&D pipelines, and enhancing decision-making in corporate and academic settings.
  • AI and Intellectual Property Creation
    Investigate the impact of AI on the generation, evaluation, and protection of intellectual property, including automated patent analysis, AI-assisted invention, and legal challenges.
  • Predictive Models for Technological Evolution
    Showcase AI-based forecasting models that anticipate technological advancements, enabling strategic planning, competitive intelligence, and disruptive innovation.
  • Eco-Innovation, Eco-Design, and Applications of AI
    Discuss AI-driven approaches for sustainable innovation, including green product development, energy-efficient design, and environmentally conscious technological advancements.
  • Other Emerging Topics
    Contribute cutting-edge research on the intersection of TRIZ, AI, and emerging technologies, addressing challenges and opportunities in inventive problem-solving.

Case Studies and Practitioners Contributions

  • Real-World Applications of AI in Design
    Present concrete case studies demonstrating how AI enhances the design process, from conceptualization to prototyping and final product realization.
  • Practical Implementations of TRIZ and AI Synergy
    Share experiences and success stories of integrating TRIZ methodologies with AI tools, highlighting improvements in problem-solving efficiency and innovation outcomes.
  • Eco-Innovation and Sustainability Practices
    Explore real-world applications where AI and TRIZ contribute to sustainable product design, circular economy models, and environmentally friendly industrial solutions.
  • TRIZ and Approaches to Systematic Innovation in Action
    Showcase practical implementations of TRIZ principles in various industries, illustrating how systematic innovation leads to breakthrough solutions.
  • AI Tools in Action with Collaborative Platforms and Tools
    Demonstrate how AI-driven collaborative platforms facilitate teamwork, enhance knowledge sharing, and accelerate the innovation cycle across disciplines.
  • AI-Driven Innovations in Education and Learning Technologies
    Highlight AI-powered tools and methodologies that enhance learning experiences, personalize education, and support knowledge transfer in technical and scientific fields.
  • AI and Business Model Innovation
    Discuss how AI reshapes business models, optimizes strategic planning, and creates new value propositions in the innovation-driven economy.
  • Other Practical Contributions
    Bring forward case studies, best practices, and experimental insights that showcase AI’s transformative role in the inventive and design processes.

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 Formats

  • Research Papers: Academic works presenting original research.
  • Industrial Case Studies: In-depth analyses of the application of AI and TRIZ in industrial contexts.
  • Workshops and Tutorials: Interactive sessions aimed at sharing practical skills and in-depth knowledge.

Important Dates

  • NEW Abstract Submission Deadline: March 15, 2025 March 29, 2025
  • Abstract Acceptance Notification: April 11, 2025
  • NEW Full Paper Submission Deadline: June 1st, 2025June 12, 2025
  • Review Feedback Deadline: July 20, 2025
  • Final Version Submission Deadline: August 19, 2025

Publication

Accepted papers like in the previous years will be published in the book series: IFIP Advances in Information and Communication Technology (IFIPAICT volume) and indexed in recognized academic databases.

Conference Venue

The conference will take place from November 5 to November 7, 2025, at the EDF site in Paris-Saclay, a world-class innovation hub offering an inspiring environment for intellectual exchange and strategic collaborations.

Full paper submission is open

Submit your full paper

Infos regarding full paper submission

Major informations

TRAI2025 TRIZ + Artificial Intelligence Conference

Organizing Committee

Organizing Committee

  • General Chair:Prof. Denis Cavallucci, ICube, INSA Strasbourg, France
  • Scientific Co-Chairs:Prof. Stelian Brad, Technical University of Cluj-Napoca, Romania and Prof. Pavel Livotov, PPI, Offenburg University, Germany
  • Members:
    • Dr. Rémy Houssin, ICube, University of Strasbourg, France
    • Dr. Hicham Chibane, ICube, INSA Strasbourg, France
    • Dr. Amadou Coulibaly, ICube, INSA Strasbourg, France
    • Laurent Lelait, EDF, France
    • Gilles Rougon, EDF, France

Professional & Scientific Committee

  • Oleg Abramov: GEN TRIZ, Ltd., Russia
  • Robert Adunka: TRIZ Consulting Group GmbH, Germany
  • Rachid Benmoussa: Cadi Ayyad University, Marrakesh, Morocco
  • Stelian Brad: Technical University of Cluj-Napoca, Romania
  • Yuri Borgianni: Free University of Bozen-Bolzano, Italy
  • Denis Cavallucci: ICube, INSA Strasbourg, France
  • Leonid Chechurin: Lappeenranta University of Technology, Finland
  • Hicham Chibane: INSA Strasbourg, France
  • Jerzy Chrząszcz: Warsaw University of Technology, Poland
  • John Cooke: CoCatalist Ltd / Water-Trak Ltd, United Kingdom
  • Amadou Coulibaly: INSA Strasbourg, France
  • Marco A. De Carvalho: Universidade Tecnológica Federal do Paraná, Brazil
  • Roland De Guio: INSA Strasbourg, France
  • Christoph Dobrusskin: Philips, The Netherlands
  • Sébastien Dubois: INSA Strasbourg, France
  • Vasile Dragos Bartos Technical University of Cluj-Napoca, Romania
  • Fatima Ezzahra Essaber: Doctor of Industrial and Logistics Engineering, Morocco
  • Oleg Feygenson: MATRIZ Official, Samsung Electronics, Korea
  • Pavel N. Fimin: GEN TRIZ, Ltd., Russia
  • Thomas Fuhrmann: Schaeffler AG, Germany
  • Claude Gazo: Arts et Métiers ParisTech, France
  • Mostafa Ghane: M5 Solutions Sdn Bhd, Malaysia
  • Claudia Hentschel: HTW Berlin, Germany
  • Rémy Houssin: University of Strasbourg, France
  • Karl Koltze: Hochschule Niederrhein, Germany
  • Narayanan Kulathu Ramaiyer: Universiti Malaysia Sarawak (UNIMAS), Malaysia
  • Jane Labadin: Universiti Malaysia Sarawak (UNIMAS), Malaysia
  • Jan-Charles Lamirel: LORIA, University of Lorraine, France
  • Ralf Laue: University of Applied Sciences Zwickau, Germany
  • Pavel Livotov: Offenburg University, Germany
  • Lorenzo Maccioni: Free University of Bozen-Bolzano, Italy
  • Nicolas Maranzana: Ecole Nationale Supérieure d’Arts et Métiers Paris, France
  • Oliver Mayer: Bayern Innovativ GmbH, Germany
  • Martin Moehrle: IPMI, Universität Bremen, Germany
  • Davy Monticolo: ENSGSI, University of Lorraine, France
  • Marek Mysior:Politechnika Wrocławska, Poland
  • Horst Nähler: c4pi / TRIZ-Akademie, Germany
  • Toru Nakagawa: Osaka Gakuin University, Japan
  • Stephane Negny: Toulouse Graduate School of Chemical Materials and Industrial Engineering, France
  • Robert Nowak: Warsaw University of Technology, Poland
  • Piotr Pałka: Warsaw University of Technology, Poland
  • Federico Rotini: University of Florence, Italy
  • Davide Russo: University of Bergamo, Italy
  • Ahmed Samet: INSA Strasbourg, France
  • Vladimir Sizikov: SIEGENIA GROUP, Germany
  • Christian Spreafico: University of Bergamo, Italy
  • Jarosław Turkiewicz: Warsaw University of Technology, Poland
  • Valery Tsourikov: Belarus
  • Tom Vaneker: University of Twente, Netherlands
  • Julian Vincent: Heriot-Watt University, Edinburgh, United Kingdom
  • NEW Abstract Submission Deadline: March 15, 2025 March 29, 2025
  • Abstract Acceptance Notification: April 11, 2025
  • NEW Full Paper Submission Deadline:June 1st, 2025 June 12, 2025
  • Review Feedback Deadline: July 20, 2025
  • Final Version Submission Deadline: August 19, 2025
All pre-registered participant are welcome starting on wednesday november 5th morning to pick-up their conference bag and attend the whole conference days.
EDF Paris-Saclay – Conference Venue

The event takes place at the EDF site in Paris-Saclay, at the core of a leading European innovation hub that brings together research, academia, and industry. The venue offers modern facilities and easy access by public transport.

Address

EDF Lab Paris-Saclay
(Exact building and entrance will be confirmed by email)

OPEN IN GOOGLE MAPS TRANSIT DIRECTIONS
Getting there (no car needed)
  • From Massy-Palaiseau (RER B/C, TGV): frequent BHNS buses to the plateau.
  • From RER B – Lozère: bus connection or short taxi ride.
  • Paris-Orly (ORY): Orlyval + RER B or shuttle to Massy-Palaiseau, then bus.
  • Paris-CDG: RER B to Massy-Palaiseau, then bus.

Times and routes may vary depending on the day and traffic. Please check real-time itineraries before departure.

Distances and times are indicative. Please check your actual schedule and conditions.

Coming soon...
Coming soon...

Conference partners

Sponsors

Gold

Bronze

Registration

TRAI2025 TRIZ + Artificial Intelligence Conference

Student registration

€400

Book it now, it seats won't last!

  • Entrance
  • Coffee Break
  • Lunch on all days
  • Access to all areas
  • Certificate
  • Workshop
Register here
Speaker registration

€500

Book it now, it seats won't last!

  • Entrance
  • Coffee Break
  • Lunch on all days
  • Access to all areas
  • Certificate
  • Workshop
Register here
Participant registration

€600

Book it now, it seats won't last!

  • Entrance
  • Coffee Break
  • Lunch on all days
  • Access to all areas
  • Certificate
  • Workshop
Register here

Side Conference events

TRAI2025 TRIZ + Artificial Intelligence Conference

During TRAI2025, join our exceptional side activities and build unforgettable souvenirs.

Thursday evening events

  • Paris by night in a “péniche” on the Seine
  • An incredible Gala dinner in the Restaurant
  • A theater show during the dinner
  • Who knows, maybe other surprises ?

Contact our team

Contact us