• 36 Citations
  • 4 h-Index
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Personal profile


Dr Mark Elshaw has been a Researcher for 15 years in three different research groups: The Hybrid Intelligent Systems Group (University of Sunderland), the Speech and Hearing Group (Sheffield University) and Intelligent Computation Group (Coventry University). He has worked on and been part of the successful management team for UK and EU funded projects, and disseminated research findings via 30+ peer reviews publications, outreach events and numerous project reports. He has also edited 3 computational neuroscience books, organised conferences and seminars, helped in the creation of successful funding proposals, and is reviewer for various conferences and journals. He was part of the team who won the British Computer Society intelligent machine prize for a bio-inspired robot.

Area of Expertise:

Robotics, neural network, electronic noses, biological inspired computing systems.

Research Interests

Speech recognition; Robot-human interaction; Grounding of speech and actions in robots; Biomimetic robotics and their applications; Emotional production and recognition in robots; Use of an experimental-based methodology for creating intelligent systems

Vision Statement

I am particularly focused on the development of novel unsupervised neural memory architectures that take their inspiration from how the brain learns and performs prediction and recognition activities. Such inspiration comes from but is not limited to the mirror neuron system, reinforcement learning and working- and long-term memory in the brain. I am also interested in exploring how unsupervised neural approaches can be adapted to better process temporal data and the utilisation of an experimental-based methodology for developing companion social robot. Such a methodology would combine intelligent memory models within an integration architecture to develop a social robot that encourages beneficial lifestyle choices.

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Research Output 2016 2019

  • 36 Citations
  • 4 h-Index
  • 4 Conference proceeding
  • 3 Chapter
  • 2 Article
3 Citations (Scopus)
21 Downloads (Pure)
Open Access
Neural networks
6 Downloads (Pure)

Visual and Thermal Data for Pedestrian and Cyclist Detection

Ahmed, S., Huda, M. N., Rajbhandari, S., Saha, C., Elshaw, M. & Kanarachos, S., 2019, Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Springer, p. 223-234 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11650 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Open Access
Sensor Fusion
Fusion reactions
Pedestrian Detection
Neural Networks
8 Citations (Scopus)

A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots

Ruiz-Garcia, A., Elshaw, M., Altahhan, A. & Palade, V., Apr 2018, In : Neural Computing and Applications. 29, 7, p. 359-373 15 p.

Research output: Contribution to journalArticle

Neural networks
Support vector machines
Feature extraction
Gabor filters
4 Citations (Scopus)

Deep Learning for Illumination Invariant Facial Expression Recognition

Ruiz-Garcia, A., Palade, V., Elshaw, M. & Almakky, I., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 8489123

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Transfer functions

Deep learning for real time facial expression recognition in social robots

Ruiz-Garcia, A., Webb, N., Palade, V., Eastwood, M. & Elshaw, M., 17 Nov 2018, Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings. Springer-Verlag London Ltd, p. 392-402 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11305 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Facial Expression Recognition
Emotion Recognition
Neural networks

Activities 2009 2009

  • 1 Participation in conference

Bernstein Conference on Computational Neuroscience

Mark Elshaw (Speaker)
30 Sep 20092 Oct 2009

Activity: Participating in or organising an eventParticipation in conference