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Mark Elshaw

Mark Elshaw

College of Engineering, Environment and Science

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About

Currently I am a lecturer in computer science at Coventry University. I am Course Director for the MSci Computer Science with AI and have been Course Director for MSc AI and Human Factors. I have performed Module Leader Activities on a diverse set of Computer Science modules such as programming, computer networks, professional skills, operating systems, operational research and information systems.

Career overview

I have been researcher in the past exploring (i) how it is possible to use findings from neuroscience to improve the performance of intelligent computational systems in the area of social robots, and (ii) the use of associated emergent neural approaches for speech and emotional recognition.

External activities

I am external examiner for the Data Science Course at Leeds Beckett University.

Publications and press

  • Emotion recognition from face images in an unconstrained environment for usage on social robots N Webb, A Ruiz-Garcia, M Elshaw, V Palade 2020 international joint conference on neural networks (IJCNN), 1-8
  • Generative adversarial stacked autoencoders for facial pose normalization and emotion recognition A Ruiz-Garcia, V Palade, M Elshaw, M Awad2020 International Joint Conference on Neural Networks (IJCNN), 1-8
  • Deep q-learning for illumination and rotation invariant face detection A Ruiz-Garcia, V Palade, I Almakky, M Elshaw2019 International Joint Conference on Neural Networks (IJCNN), 1-8
  • Visual and thermal data for pedestrian and cyclist detection S Ahmed, MN Huda, S Rajbhandari, C Saha, M Elshaw, S Kanarachos Annual Conference Towards Autonomous Robotic Systems, 223-234
  • Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey S Ahmed, MN Huda, S Rajbhandari, C Saha, M Elshaw, S Kanarachos Applied Sciences 9 (11), 2335
 Queen’s Award for Enterprise Logo
University of the year shortlisted
QS Five Star Rating 2023
TEF Gold 2023