Imperial machine learning professors. Our expertise is multi-disciplinarity.

Imperial machine learning professors. Prof. My publications span artificial intelligence, machine learning, logic, dynamical systems, computational neuroscience, and philosophy of mind. We develop SciML techniques such as physics-informed neural networks, hybrid ML-numerical algorithms, and physics-based computer vision, and use . He applies machine learning approaches, like evolutionary algorithms, on robots to increase their versatility and their adaptation capabilities. degree in nonlinear adaptive signal processing in 1999 from Imperial College, London, U. , where he is now a Professor. He specializes in Statistical Learning Theory, Machine Intelligence, and Statistical Signal Processing, and their applications, especially in Biomedicine and Finance. He also holds a visiting faculty position at the University of Johannesburg. Our People I-X forms a dynamic interdisciplinary AI community, bringing together over 200 researchers from 20 departments across Imperial College London. Find out more about The Research Centre in Data-Driven Engineering. g23qsjg fww4 ugi lg dm5o odtn2r6s u9 x68jby ci8pv 0uz2u