Tom Winter is a Corporate Language and Semantic Technologies expert at Deutsche Bahn AG, where he drives the transformation of corporate language into ontology-based, interoperable knowledge structures.He establishes a semantic framework in which terminology serves as a reference layer for enterprise knowledge models. His work enables applications such as machine translation, generative AI, and Digital Twins.After serving as Chairman of the Deutscher Terminologie-Tag e. V. (DTT) until 2025, he continues to contribute as a board member. And he is a member of the Rat für Deutschsprachige Terminologie (RaDT).

Prof. Dr. Sahar Vahdati is Professor of AI for Science at Leibniz University Hanover and TIB, Leibniz Information Centre for Science and Technology, where she leads the Nature-Inspired AI for Science Lab. Her research develops theoretical foundations for reasoning and causality in frontier AI models for scientific discovery, with the aim of building transparent, robust, and trustworthy AI for science. She coordinates the EOSC Assistant project, an agentic GenAI Open Research Assistant launching in September 2026. Her broader research agenda explores mind-inspired AI, ARC-AGI, and pathways toward safe AGI.

At SAP, Marcus Danei is responsible for defining and implementing strategic directions for SAP’s language technologies. Marcus has over 30 years’ experience in the software and localization industries, and has worked in a range of areas within SAP, from introducing Arabic as a standard language, through translation production management, defining and maintaining standards for release management and technology, to translation business partner management, software product management and language data management.

Daniela Fleck is a terminologist at Philips working on clarity and consistency in language use across complex, multilingual settings. Her work focuses on helping teams make concepts explicit and align on shared definitions as a basis for communication across languages, teams, and channels. In the context of increasing AI use, she draws attention to the role of terminology in supporting more informed design, evaluation, and governance of language‑mediated systems.

Helmut Nagy is VP of Sales Enablement at Graphwise, the vendor behind the Graphwise Platform. Graphwise has offices in Vienna, Sofia, and New York. In his role, he is responsible for Graphwise’s internal knowledge management solutions, certification program, and product portfolio. The Graphwise Platform is used by more than 200 organizations worldwide to build reliable and scalable semantic AI solutions. He is a recognized expert in knowledge management and semantic AI and has collaborated with global organizations to support them in developing and implementing their knowledge management and AI strategies. Helmut Nagy is co-author of “The Knowledge Graph Cookbook” and “DOM GraphRAG: A semantic content architecture for neuro-symbolic RAG.”

Dr. Bogdan Georgiev is a Staff Research Engineer at Google DeepMind. Previously, he was a research scientist at the Fraunhofer IAIS and the Lamarr Institute. He obtained his PhD in mathematics from the Max Planck Institute and the University ofBonn.
Dr. Georgiev is fascinated by the possibilities for exploration and discovery introduced by the interplay between AI and mathematics—from differential equations and geometry to optimization and machine learning. Recently, he has been exploring these areas using tools such as specialized machine learning algorithms (PINNs), theorem-proving agents (AlphaProof), and evolutionary coding agents (AlphaEvolve). He is also broadly interested in computing at scale, high-precision numerics, and training dynamics in ML.

Bernhard Christ is an Economic Policy Consultant (M.Sc.) for the IT and health economy at the Chamber of Industry and Commerce (IHK) Bonn/Rhein-Sieg and the Managing Director of Wirtschaftsjunioren (WJ) Bonn/Rhein-Sieg, a network für young entrepreneurs. His work focuses on consulting, lobbying, and networking for regional businesses in the fields of AI, cybersecurity, digital sovereignty, fiber-optic infrastructure, and digital health. He gained practical experience in the application of AI while working as a Manager in Delivery Operations at Amazon Logistics.

Dr. Patrick Maué began his professional career in artificial intelligence and geospatial data research. For more than twenty years, he has advised organizations and led the implementation of projects in the fields of artificial intelligence, document analysis, and electronic records management. As Executive Principal at AV Software Solutions 360° (AVS), the Competence Center of the Bechtle IT System House Bonn, he leads a team of AI experts and data scientists. His work focuses on public sector projects, ranging from municipalities to federal ministries. His conviction: AI creates its greatest impact by making complex administrative processes more transparent, efficient, and future-ready.

Martin Förster is Director of Product at Scopevisio AG, a German cloud ERP and accounting software provider, where he holds company wide responsibility for product management, go-to-market strategy, and the company’s AI agenda. He brings deep expertise in complex enterprise and ERP products: at Wolters Kluwer he led the cloud transformation of a legal practice management solution across seven countries, and he subsequently served as Head of Product Management for Social Housing at Aareon. At Scopevisio he is now driving the shift toward AI-first products, including retrieval-based document intelligence built on customers’ accounting and ERP data.

Seasoned executive with over 25 years of experience in the IT services industry, having held various senior management roles across sales, operations, and business development. Formerly SVP Chief Sales Officer at Atos Germany and CEO of the Materna Group, he has a strong track record in driving growth and transformation. Currently serving as CEO of conet Group, leading around 2,000 professionals in software engineering and digital solutions. He brings extensive board-level expertise in go-to-market strategy, strategic leadership, and organizational development.

Dr. Andrej Fischer is a member of the Executive Management at Comma Soft AG. Since joining in 2014, he has established the Data Science Consulting practice and currently leads strategic AI and GenAI initiatives across various industries. He holds a PhD in Theoretical Physics from the University of Cologne and conducted postdoctoral research in cancer genomics at the Wellcome Trust Sanger Institute in Cambridge. He has been working with AI and statistical data analysis since 2010. Nowadays, he is focusing on how to manage all the transformations that are induced by these technologies.

Prof. Dr. Adèle Helena Ribeiro is Professor at RWTH Aachen University, where she heads the Institute of Causal and Explainable Artificial Intelligence in Life Sciences and leads the CausalAI4Health group, funded by the German Federal Ministry of Research, Technology and Space (BMFTR). Her research focuses on trustworthy and responsible causal AI for precision medicine and public health. She develops methods in causal inference and machine learning for complex biomedical data, addressing challenges such as latent confounding, selection bias, and high-dimensional multimodal structures. Her work integrates causal discovery, effect estimation, and experimental design with uncertainty quantification, federated learning, and expert-in-the-loop approaches to enable reliable and privacy-preserving scientific inference.

Prior to RWTH Aachen, she held research positions at the University of Münster, Philipps University of Marburg, Columbia University, and the Heart Institute of the University of São Paulo. She holds a Ph.D. and M.Sc. in Computer Science and a B.Sc. in Applied Mathematics from the University of São Paulo.

Osman is a postdoctoral researcher at the Institute for AI in Medicine (IKIM), where he applies causal machine learning to medical research, with a particular focus on cancer metastasis. He is also affiliated as a guest researcher with the Lamarr Institute and TU Dortmund University, where he contributes to research and teaching in trustworthy machine learning. Osman obtained his Ph.D. from CISPA Helmholtz Center for Information Security, Saarland University, with a dissertation on practically applicable causal discovery. His career spans both academia and industry, including research at Amazon’s Natural Language Understanding team and machine learning roles in the healthcare and NLP sectors. His research focuses on causal discovery, causal representation learning, and explainable machine learning, with contributions spanning privacy-preserving and federated causal discovery, continual causal learning, and causal modeling of dynamical systems.

Dr. Johannes Hinckeldeyn is Director Research Engineering at KION AG and is responsible for research and product development projects in the field of intralogistics. Previously, he served as a senior engineer at the Institute of Technical Logistics at TU Hamburg and as Chief Operating Officer at EL Cell GmbH. In that role, he led operational processes as well as the further development of development and production structures. He holds a doctorate in Operations Management and has extensive experience at the intersection of engineering, business, and academia. Through his work in industry, consulting, and research, he combines strategic thinking with strong practical implementation skills.

Julian Eßer is a research associate in Robotics and AI at the Fraunhofer Institute for Material Flow and Logistics in Dortmund and scientific coordinator of the Embodied AI research group at the Lamarr Institute. After earning his bachelor’s and master’s degrees (with honors) in mechanical engineering from the University of Duisburg-Essen in 2018 and 2020, respectively, he completed his Ph.D. at TU Dortmund University in 2025 on learning-based control of highly dynamic robots. His research focuses on embodied AI, particularly at the intersection of robotics, reinforcement learning, and physics simulation.

Hendrik Wöhrle is a Professor of Electrical Engineering and Information Technology at the University of Duisburg-Essen and Head of the Smart Embedded Systems group at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS. An expert in embedded AI, domain-specific computing and robotic systems, his research focuses on efficient and reliable AI for robots and other resource-constrained intelligent systems. Building on many years of research at the DFKI Robotics Innovation Center, he develops hardware and software architectures that enable real-time perception, learning and decision-making directly on embedded platforms. His work includes FPGA-based acceleration, signal processing and machine learning methods for applications in human-machine interaction, adaptive robot behavior and intelligent edge robotics.

Daniel Becker holds a PhD in theoretical physics (quantum computing and spintronics) and has a background in algorithmic trading. For over five years now, he works at Fraunhofer IAIS in the department AI Assurance & Assessments (AAA), where he leads the AI Assessment Operations team (AAOps). As part of this position, Daniel leads and contributes to various  applied research and industry projects focussing on safeguarding of AI systems, automation of assessment workflows, and AI trustworthiness in general, both from a technical and auditor perspective.

Paul Klee is an expert in market surveillance and ICT regulation at the Bundesnetzagentur. He holds a Master of Engineering (M.Eng.) in International Business Administration and Engineering. Within the Bundesnetzagentur, his work focuses on ICT standardization, emergency call systems, and artificial intelligence (AI). Currently, he is part of the task force dedicated to the enforcement of the European AI Act under the national implementing legislation, shaping the future of AI market surveillance in Germany.