Anders Rantzer

Anders Rantzer is a **Professor** at the **Department of Automatic Control** at Lund University, affiliated with LTH (Lund Institute of Technology). He is also a member of key initiatives like ELLIIT (IT and mobile communication) and LTH's profile areas for AI & Digitalization and The Energy Transition. His research focuses on scalable control systems, energy networks, and adaptive methodologies. He has published extensively in top journals and led major projects like the WASP NEST initiative on learning in networks. Rantzer advises numerous PhD students and collaborates internationally on topics ranging from district heating optimization to AI-driven control systems. His work bridges theoretical advancements with practical applications in energy and digital infrastructure.