Prof. Dr.-Ing. Ahmed Ebada is a distinguished professor of informatics and artificial intelligence, a serial entrepreneur, and a leader in the startup ecosystem. With a strong background in digital twins, AI, and emerging technologies, he has contributed to cutting-edge research and innovation in various fields, including automotive, smart cities, and industrial automation. Currently, Prof. Ebada serves as a Digital Twin Product Manager at BMW, where he focuses on developing and optimizing digital twin technologies for the future of mobility and manufacturing. His expertise spans AI-driven simulations, predictive analytics, and real-time data integration to enhance efficiency, sustainability, and automation. Beyond his professional roles, he is also the founder of HOPn UG, a company aimed at technological innovations. His entrepreneurial spirit has driven the launch of multiple ventures, emphasizing the fusion of AI, automation, and business solutions. Prof. Ebada is also passionate about mentoring and educating the next generation of engineers and AI specialists. He has actively guided students, researchers, and startups, helping them navigate the evolving landscape of digital transformation.
Digital twins are transforming manufacturing by creating real-time, data-driven models of production processes, enabling predictive analytics, efficiency improvements, and automation. This session will explore how the methodologies and technologies used in smart factories can be leveraged in lab environments to enhance operations, optimize workflows, and improve decision-making. Using real-world use cases, including supply chain risk prediction and AI-driven optimization, we will demonstrate how digital twins integrate IoT, AI, and knowledge graphs to create actionable insights. Attendees will gain a deeper understanding of how to apply these technologies to build the lab of the future.
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