Artificial intelligence

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Sandip Das is a research scientist at Nokia Bell Labs and specializes in next-generation fixed access networks and converged optical-wireless architectures. His work drives the development of high-performance broadband connections through innovations in PON technologies, virtualized access solutions, and cloud-native networks. Sandip earned his Ph.D. from Trinity College Dublin and has made significant contributions to EU research projects, leading publications, and groundbreaking developments in the fields of optical access, fixed-mobile convergence, and cloud RAN systems.

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Alexander Zorn heads the LLM-based Robot Control division at Fraunhofer IAIS. His work focuses on agent-based AI systems and vision-language-action models that translate abstract voice commands into real-world robotic actions. Instead of isolated individual capabilities, he breaks down complex tasks into viable sub-steps using agent systems—with the goal of making robotics production-ready rather than merely suitable for demonstrations.

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Muhammad Saeed leads the research-oriented project “AI Matters,” a major initiative that provides advanced technological services to industry partners. His work combines next-generation artificial intelligence, simulation technologies, CAE, and robotics for international applications. Specifically, his research focuses on agent-based AI, spatiotemporal AI, neurosymbolic AI, LLMs, digital twins, AutoML, and quantum-based machine learning. A key priority of these integrations is ensuring data sovereignty and explainability, which enables him to develop secure, transparent, and cognitive frameworks to optimize and autonomously control complex manufacturing processes.

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Frytz Martinek works with industrial artificial intelligence for production and manufacturing processes. His focus is on AI-driven process optimization, quality management in manufacturing, and the use of machine learning to analyze and control industrial production systems. He also explores data-driven approaches to autonomous and adaptive production.

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Hendrik Stange uses AI ranging from classical to agent-based approaches in hybrid, multimodal systems for industrial applications. The current focus is on robust, data-factory-based solutions—not merely as demos, but as operationally viable systems for real-world production.

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Samed Ajdinović is the group leader for Industrial Control Engineering at the Institute for Control Engineering of Machine Tools and Manufacturing Systems (ISW) at the University of Stuttgart. His research focuses on the digital factory, digital twins, and data-driven production and control systems. He also works on the integration of data models and the digital transformation of industrial production processes.

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Shengjian Chen works on virtual methods for the development and optimization of production systems. His research focuses on digital twins, simulation and modeling methods, as well as the virtual validation and data-driven optimization of manufacturing processes and production facilities.

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Joao Lopes is a Principal Engineer and serves as Technical Project Manager for 6G system innovation in the CTO’s office at NXP Semiconductors. His primary areas of interest are industrial automation and real-time communication, both in wired and wireless domains. He is active in the IEEE 802.1 working group in the TG TSN (Time Sensitive Networking) area, is the founder and former chair of the OPC UA FX Prototyping working group, and currently serves as co-chair for the Networking area at the OPC Foundation. As an active member of the 5G-ACIA, he has contributed to several technical documents.