Dr. Anil Bharath

Biography

Professor of Biologically-Inspired Computation & Inference in the Department of Bioengineering at Imperial College London. He obtained a degree in Electrical & Electronic Engineering from University College London and later completed his PhD in the Biomedical Systems Group at the Department of Electrical and Electronic Engineering at Imperial College. He has extensive experience in the fields of pattern recognition, machine learning, and signal processing, with notable contributions to traditional 'shallow' computer vision. His current research is primarily focused on utilizing deep networks for inference, and he has published work in reinforcement learning and generative adversarial learning. Anil initiated the Basic Technology Project 'Reverse Engineering Human Visual Processes' in 2002, which aimed to create a scalable subset of processes similar to those in the human visual system. He was involved in the founding of Cortexica Vision Systems in 2008, which applies simplified models of biological visual neurons to visual search technology. His research interests include machine learning and the nature of representations learned by deep neural networks, as well as understanding the similarities between biological and non-biological neural networks.

Research Interests

Experience