Department of Engineering / Profiles / Dr Richard Turner

Department of Engineering

Dr Richard Turner

ret26

Richard Turner

University Lecturer in Computer Vision and Machine Learning

Academic Division: Information Engineering

Research group: Computational and Biological Learning

Telephone: +44 1223 7 48517

Email: ret26@eng.cam.ac.uk

Personal website

Publications


Research interests

Dr. Turner's research lies at the interface between three fields:

  • computer perception which builds systems for processing and understanding images, sounds and videos
  • neuroscience which is the scientific study of the nervous system
  • machine learning which provides a theoretical framework for learning and making inferences from data

The goal of his research is to develop systems that solve important problems, drawing inspiration from the brain. For example, determining how many sound sources there are in an acoustic scene and what the individual contributions from each source are. There are medical and engineering applications of this work, such as in intelligent hearing aids and cochlear implants for the deaf. Importantly, the behaviour of these algorithms can also be compared to neural processing in the brain in order to better understand what the brain is doing.

He collaborates closely with both experimental neuroscience groups, who research the neural basis of hearing, hearing aids and cochlear implants, and also industrial partners such as Google.

Strategic themes

Uncertainty, risk and resilience

Developing processing for intelligent hearing devices (hearing aids and cochlear implants) that can adapt to noisy environments and improve speech perception. Developing content-based audio search and noise removal systems by integrating machine learning and signal processing into a single theoretical framework.

Bioengineering

Developing processing for intelligent hearing devices (hearing aids and cochlear implants) that can adapt to noisy environments and improve speech perception. Improving medical treatment of the hearing impaired, including audio therapy for tinnitus suffers and evaluation of cochlear implant processing strategies.

Teaching activity

  • Module leader: 3F6 Software Engineering, 4F12 Computer Vision and Robotics, paper 8 Information Engineering
  • Also teach on: 3G3 Introduction to Neuroscience, 4G3 Computational Neuroscience, 4F13 Machine Learning

Biography

Dr. Turner holds a Lectureship in Computer Vision and Machine Learning in the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, UK. Before taking up this position, he held an EPSRC Postdoctoral research fellowship which he spent at both the University of Cambridge and the Laboratory for Computational Vision, NYU, USA. He has a PhD degree in Computational Neuroscience and Machine Learning from the Gatsby Computational Neuroscience Unit, UCL, UK and a M.Sci. degree in Natural Sciences (specialism Physics) from the University of Cambridge, UK.