Uploaded August 2025 | Updated September 2026, 2 weeks ago
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Join us for an exclusive interview with Professor Pu Li from Technische Universität Ilmenau, Germany, as he discusses his remarkable academic journey, groundbreaking research in process optimization, and how his work is solving some of the most complex problems in industrial systems.
Originally from China and with over 30 years in Germany, Prof. Li leads the Process Optimization Group at TU Ilmenau and serves as a Consulting Professor at Fraunhofer IOSB. His team focuses on optimizing large-scale systems such as energy distribution networks, drinking water systems, and even autonomous driving applications — tackling challenges around uncertainty and computational efficiency in real-time AI-driven environments.
🔍 What you’ll learn in this interview:
✔️How optimization is transforming industrial applications
✔️The importance of dealing with uncertainty in system design
✔️The real-world impact of academic research and collaboration with engineers
✔️Behind-the-scenes insights from his first-time experience at Computing Conference 2025
Whether you're passionate about AI, engineering, autonomous systems, or technological innovation, this conversation offers valuable insights into how top researchers are bridging the gap between theory and industry.
Follow SAI Conferences on Linkedin: linkedin.com/company/saiconference
Conference Website: saiconference.com/Computing
Join us for an exclusive interview with Professor Pu Li from Technische Universität Ilmenau, Germany, as he discusses his remarkable academic journey, groundbreaking research in process optimization, and how his work is solving some of the most complex problems in industrial systems.
Originally from China and with over 30 years in Germany, Prof. Li leads the Process Optimization Group at TU Ilmenau and serves as a Consulting Professor at Fraunhofer IOSB. His team focuses on optimizing large-scale systems such as energy distribution networks, drinking water systems, and even autonomous driving applications — tackling challenges around uncertainty and computational efficiency in real-time AI-driven environments.
🔍 What you’ll learn in this interview:
✔️How optimization is transforming industrial applications
✔️The importance of dealing with uncertainty in system design
✔️The real-world impact of academic research and collaboration with engineers
✔️Behind-the-scenes insights from his first-time experience at Computing Conference 2025
Whether you're passionate about AI, engineering, autonomous systems, or technological innovation, this conversation offers valuable insights into how top researchers are bridging the gap between theory and industry.
