I am a Professor of Computer Science and I work on sensors, signal processing/machine learning, and systems. My research revolves around making machines better understand the physical world. I work within the Cyber Physical Systems (CPS) theme, and lead a large group of researchers and students. I investigate how to track and localize people, animals and objects, particularly in environments where technologies like GPS fail, such as underground or indoors. Key to this is the use of magneto-inductive tracking and communication. My work is typically cross-disciplinary and I colloborate with colleagues from a wide range of disciplines. Increasingly, my research has turned to data-driven methods, and physics-informed approaches to learning from noisy sensor data.