Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 04:06:34pm CEST
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Agenda Overview | |
| Location: Conference Hall Bobara |
| 9:00am - 12:30pm |
D112: Workshop 2: MEDITATIVE REFLECTIVE INTERVENTIONS FOSTERING CREATIVE ABILITY Location: Conference Hall Bobara Chair: Björn R. Kokoschko, Otto von Guericke University Magdeburg, hochschule anhalt, Germany Chair: Maria Uhari-Pakkalin, Aalto University, Finland Chair: Akane Matsumae, Kyushu University, Japan HOSTED BY THE DS DESIGN CREATIVITY SIG |
| 2:00pm - 5:30pm |
D132: Workshop 6: TWO DECADES OF SUSTAINABLE DESIGN: WHERE ARE WE HEADING AND HOW DO WE GET THERE? Location: Conference Hall Bobara Chair: Sophie I. Hallstedt, Chalmers University of Technology, Sweden Chair: Els Du Bois, University of Antwerp, Belgium Chair: Giliam Dokter, Chalmers University of Technology, Sweden HOSTED BY THE DS SUSTAINABLE DESIGN SIG |
| 8:45am - 9:45am |
D212: MODULAR PRODUCT STRATEGIES AND CONFIGURATION APPROACHES Location: Conference Hall Bobara Chair: David Inkermann, Technische Universität Clausthal, Germany Towards an impact model of modular product strategies Hamburg University of Technology, Germany Evaluating design automation from user input to production – insights from the bike connector tool 1: ETH Zurich, Switzerland; 2: inspire AG, Switzerland Structured overview of methodologies for assessing assembly complexity University of Stuttgart, Germany From minimum viable product via size levels to modular product family – case study on air filtration units 1: ULT AG, Germany; 2: Dresden University of Technology, Germany |
| 10:15am - 11:15am |
D222: PRODUCT ARCHITECTURE AND SUSTAINABILITY Location: Conference Hall Bobara Chair: Dieter Krause, Hamburg University of Technology (TUHH), Germany Sustainability by design: the impact of product architecture decisions on the sustainability of products – a practitioner qualitative assessment Fraunhofer IEM, Germany Extending QFD for smart product-service systems with smartness parameter categorization 1: Sapienza Università di Roma, Italy; 2: Linköping University, Sweden Exploring the relationship between attribute centrality and sustainability perception in eco-designed products Free University of Bozen-Bolzano, Italy Design for disassembly in footwear: identification and classification of product requirements 1: Research Institute for Design, Media and Culture [ID+], IPCA, Portugal; 2: Higher Professional Technical School, IPCA, Portugal |
| 11:30am - 12:30pm |
D232: DIGITAL TWINS IN PRODUCT DEVELOPMENT Location: Conference Hall Bobara Chair: Julia Guérineau, École de technologie supérieure, Canada Expert-based evaluation of digital twin transfer potential for space systems applications Institute for Technical Product Development, University of the Bundeswehr Munich, Germany Designing digital twins: a graph-based schema to enable systematic cost-benefit analysis University of Bristol, United Kingdom Potentials and challenges of the digital twin for product development: a systematic literature review Institute of Product Development, Leibniz University Hannover, Germany Utilising 2D tracking to understand individual difference and personalisation in ergometer rowing 1: University of Bristol, United Kingdom; 2: University of Bath, United Kingdom |
| 3:15pm - 4:15pm |
D242: DATA-DRIVEN FRAMEWORKS FOR DESIGN SUPPORT Location: Conference Hall Bobara Chair: Gualtiero Fantoni, University of Pisa, Italy Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration Paderborn University, Germany Towards an intelligent design support framework balancing risks and user experience: a case study in pharmaceutical packaging University of Malta, Malta Touch experience framework for a data-informed design of textile surfaces 1: Hochschule Niederrhein University of Applied Sciences, Germany; 2: Intended Future, Sweden; 3: Chalmers University of Technology, Sweden Identifying the right BOM setup in engineer-to-order companies: a focus identification model Technical University of Denmark, Denmark |
| 4:30pm - 6:00pm |
D252: Meeting 1: HOW MODERN DESIGN WORKFLOWS ARE CHANGING WITH CLOUD-NATIVE CAD Location: Conference Hall Bobara Chair: Dragos Alexandru Cazacu, PTC, United Kingdom HOSTED BY ONSHAPE/PTC |
| 8:45am - 9:45am |
D312: AI INTEGRATION AND PRACTICE IN DESIGN Location: Conference Hall Bobara Chair: Peter R. N. Childs, Imperial College London, United Kingdom A structural framework for generative engineering and design assistance systems development Ruhr-Universität Bochum, Germany Human-AI co-creation: why, what, and how? 1: Department of Information Systems, City University of Hong Kong, Hong Kong S.A.R. (China); 2: Department of Systems Engineering, City University of Hong Kong, Hong Kong S.A.R. (China) Handling AI-generated knowledge artifacts in generative product engineering 1: RPTU University Kaiserslautern-Landau, Germany; 2: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Reframing AI readiness: a multi-dimensional use case-centered AI readiness framework University of Stuttgart, Germany |
| 10:15am - 11:15am |
D322: ADOPTION OF GENERATIVE AI IN ENGINEERING DESIGN CHALLENGES AND PRACTICES Location: Conference Hall Bobara Chair: Nikola Vukašinović, University of Ljubljana, Faculty of Mechanical Engineering, Slovenia Challenges hindering the application of GenAI methods in engineering design and the product development process: a meta-analysis 1: Dresden University of Technology, Germany; 2: MAN Truck & Bus SE, Germany How are professional practices adopting generative AI? The case of an engineering design and product development team 1: Swinburne University of Technology, Australia; 2: Universidad EAFIT, Colombia What designers need from agentic AI: case of circularity and CMF design 1: Chalmers University of Technology, Sweden; 2: Intended Future, Sweden; 3: Hochschule Niederrhein University of Applied Sciences, Germany; 4: Royal College of Art, United Kingdom Still no smart service? A review of technical barriers to smart service adoption in the GenAI era 1: Fraunhofer IEM, Germany; 2: Chair for Advanced Systems Engineering, Heinz Nixdorf Institute, Paderborn University, Germany |
| 11:30am - 12:30pm |
D332: AI-AUGMENTED REQUIREMENTS ENGINEERING Location: Conference Hall Bobara Chair: Beshoy Morkos, University of Georgia, United States of America AI applications in requirements engineering: a systematic mapping study 1: IPEK - Institute of Product Engineering, Karlsruhe Institute of Technology, Germany; 2: FAPS - Institute for Factory Automation and Production Systems, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany An LLM model to guide and enrich the understanding of stakeholder value and development of product requirements Carnegie Mellon University, United States of America Context-aware large language models for ambiguity detection in requirements 1: University of Technology Sydney, Australia; 2: Swinburne University of Technology, Australia Enabling AI-supported requirements engineering through model-based systems engineering and characteristics-properties modeling Technical University of Darmstadt, Germany |
| 3:45pm - 4:45pm |
D342: LLM-SUPPORTED USER RESEARCH Location: Conference Hall Bobara Chair: Katja Thoring, Technical University of Munich, Germany From online reviews to Kano model: a large language model method and case study Università di Pisa, Italy Can LLM-driven synthetic participants help user research? A case study in designing augmented reality for education 1: University of Bath, United Kingdom; 2: SENAI Innovation Institute for Information and Communication Technologies, Brazil; 3: Universidade de Pernambuco, Brazil; 4: University of Oxford, United Kingdom LLM-based voice chatbot surveys as an alternative to post-experience questionnaires: probe-controlled, ultra-short field interviews Institute of Science Tokyo, Japan On using LLM reasoning to support reflection in design thinking 1: University of Thessaly, Greece; 2: University of the Aegean |
| 5:00pm - 6:00pm |
D352: AI-ASSISTED EVALUATION AND ESTIMATION IN ENGINEERING DESIGN Location: Conference Hall Bobara Chair: Vishal Singh, Indian Institute of Science, India Multi-agent generative AI for concept evaluation: consistency, knowledge integration and human alignment 1: Offenburg University of Applied Sciences, Germany; 2: Otto von Guericke University Magdeburg, Germany; 3: Anhalt University of Applied Sciences, Germany; 4: Texas A&M University, United States of America; 5: Singapore University of Technology and Design, Singapore The product singularity: universal AI framework for multimodal product understanding, evaluation, and benchmarking Indian Institute of Science, Bangalore, India Automatic assessment of rust level on screws using convolutional neural networks 1: Università Politecnica delle Marche, Italy; 2: Polytech Marseille, France; 3: Circular Momentum, Denmark Life cycle cost estimation in product-service systems: a review of machine learning methods Leibniz University Hannover, Germany |
| 8:45am - 9:45am |
D412: LLM-ENABLED DESIGN METHODS AND ENGINEERING PROCESSES Location: Conference Hall Bobara Chair: Vito Giordano, Università di Pisa, Italy ISOprep: an LLM-driven pipeline for semantics-preserving processing of neutralized requirements according to ISO 29148 Leuphana University Lüneburg, Germany Evaluating TRIZ with and without LLM support: an experimental study on engineering problem-solving 1: Faculty of Mechanical Engineering, University of Ljubljana, Slovenia; 2: Department of Design Sciences, Lund University, Sweden; 3: ENSAM, University of Moulay Ismail, Morocco; 4: Mathematics, Computer Science and Engineering Department, University of Quebec at Rimouski, Canada Discover the use of multimodal language models for idea detailing in human-AI collaborative design University of Exeter, United Kingdom Structure-based similarity searches to improve the reuse of assemblies and functional units in plant engineering – use cases and implementation verification with a large language model as a search tool 1: VON ARDENNE GmbH, Germany; 2: Dresden University of Technology, Germany |
| 10:15am - 11:15am |
D422: GENERATIVE AI FOR DESIGN SYNTHESIS AND ENGINEERING APPLICATIONS Location: Conference Hall Bobara Chair: James Gopsill, University of Bristol, United Kingdom From geometry to function: towards context-aware generative AI for engineering design 1: Dresden University of Technology, Germany; 2: MAN Truck & Bus SE, Germany; 3: Leibniz University Hannover, Germany Achievable mechanical performance of generatively designed PA6-CF and PLA components fabricated by desktop material extrusion Norwegian University of Science and Technology, Norway Structured prompting for design for multi-X: evaluating LLM support in early prosthetic device design University of Malta, Malta In search for working principles using large language models: an experimental study 1: Swinburne University of Technology, Australia; 2: University of Rostock, Germany; 3: Hochschule für Technik und Wirtschaft Berlin, Germany |
| 11:30am - 12:30pm |
D432: AI-DRIVEN KNOWLEDGE AND DECISION SUPPORT IN PRODUCT DEVELOPMENT Location: Conference Hall Bobara Chair: Martin Steinert, Norwegian University of Science and Technology, Norway Graph retrieval-augmented generation for enhancing LLM-based ML algorithm recommendation in product development University of Duisburg-Essen, Germany A data-driven approach to studying dominant designs through patent images 1: Università di Pisa, Italy; 2: Business Engineering for Data Science (B4DS) research group, Italy; 3: Coesia, Italy AI-based scenario management for SMEs: the need for modular, explainable and reusable foresight pipelines 1: Fraunhofer IEM, Germany; 2: Paderborn University, Germany AI-supported variant management activities – insights from an industrial case study 1: Institute for Engineering Design and Industrial Design, University of Stuttgart, Germany; 2: PLEASE NOTE THAT THIS ORGANISATION MUST BE REMOVED IN ALL MATERIALS |
| 3:15pm - 4:15pm |
D442: MACHINE LEARNING FOR GENERATIVE DESIGN AND DESIGN SPACE EXPLORATION Location: Conference Hall Bobara Chair: Tomislav Martinec, University of Zagreb FSB, Croatia A deep reinforcement learning approach for the multi-objective, segment-based generative design of sheet metal components Karlsruhe Institute of Technology, Germany Generating vehicle designs using probabilistic programs and reinforcement learning 1: Computer Science Laboratory, SRI International, United States of America; 2: Department of Aeronautics and Astronautics, Stanford University, United States of America; 3: University of Florida, United States of America Reinforcement learning for the design of mechanisms using available bars and pins Engineering Design and Computing Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Switzerland Comparison of evolutionary, reinforcement and active learning for simulation-based design space exploration 1: RPTU University Kaiserslautern-Landau, Germany; 2: University of Mannheim, Germany; 3: EIGNER engineering consult, Germany |
| 4:30pm - 5:30pm |
D452: AI METHODS FOR GEOMETRIC MODELS AND DESIGN DATA Location: Conference Hall Bobara Chair: Kristin Paetzold-Byhain, Technische Universität Dresden, Germany AI-enhanced computer-aided design: predictive modelling of operations 1: Technical University of Munich, Germany; 2: BMW Group, Germany; 3: University of Passau, Germany Characterizing geometric variability of industrial 3D models to guide preparation of synthetic datasets for machine learning applications 1: University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia; 2: Neo Dens Ltd., Croatia Automatic feature recognition from imperfect models using a novel workflow of data surrogation 1: University of Bristol, United Kingdom; 2: Dresden University of Technology, Germany Entity matching for recurring engineering components: a bottom-up enabler for reference architecture reconstruction 1: Fraunhofer IEM, Germany; 2: Heinz Nixdorf Institute, Paderborn University, Germany |
