Professor John C Murray

Professor of Robotics and Autonomous Systems / Programme Leader for BEng/MEng Mechatronics and Robotics

Faculty of Science and Engineering

School of Engineering and Computer Science

john.murray@hull.ac.uk

01482 465910

Professor John Murray has worked in the field of robotics for many years having gained his PhD in 2006 in Computational Neuroscience and Robotics.

He has served as a reviewer of many conferences and journals for research, and participated in many validation panels for curriculum development.

Professor Murray has secured funding from institutions such as JISC, Innovate UK and the Home Office working on security and deep learning related projects.

Research

Research Interests

  • Robotics

  • Deep learning

  • Security

  • 3D printing

  • Virtual reality

Publications

Frohnwieser A, Pike T, Murray J and Wilkinson A, 'Perception of artificial conspecifics by Bearded Dragons (Pogona Vitticeps)', Integrative Zoology (2018)

Frohnwieser A, Pike T, Murray J and Wilkinson A, 'Lateralised eye use towards video stimuli in bearded dragons', Animal Behaviour and Cognition, ISSN 2372-5052 (2017)

Biswas M and Murray J, 'Can Cognitive biases in Robots make more ‘Likeable’ Human-Robot Interactions than the Robots without such Biases: Case Studies using Five Biases on Humanoid Robot', International Journal of Artificial Life Research (2017)

Biswas M and Murray J, 'The Effects of Cognitive Biases and Imperfectness in Long-term Robot-Human Companionship: Case Studies using Five biases on Humanoid Robot', Journal of Cognitive Systems Research (2016)

Atanbori J, Dickinson P, Duan W, Murray J, Appiah K and Shaw E, 'Automatic classification of bird species using Computer Vision techniques', In Pattern Recognition Letters (2016)

Teaching

Programmes taught on (2018)

Programmes taught on (2019)

Research PhDs

Professor Murray welcomes applications in most areas of robotics, specifically HRI, deep learning and virtual reality.

Completed PhDs

  • Mriganka Biswas, The Effect of Cognitive Biases on Human-Robot Interaction

  • Anna Frohnwieser, Using Robots to Understand Animal Social Cognition

  • John Atanbori, Analysis of Wing Beat Frequency for Bird Identification

Teaching awards and accolades

  • Fellow of the HEA

  • PGCE in Higher Education

Professional highlights

Academic qualifications

  • BEng (Hons) Software Engineering

  • PhD Computational Neuroscience and Robotics

External roles

External Examiner, Abertay University, Dundee (2016- )

  • BSc (Hons) Computing and Networks

  • BSc (Hons) Applied Networking Technologies

External Examiner, Anglia Ruskin University (2016– )

  • BSc (Hons) Computing

Awards and accolades

  • University of Lincoln Individual Merit Award - awarded by Vice Chancellor

  • The East Midlands 2017 Heritage Awards – Innovation - awarded by EMMS - NTU