Salma Hamdy Elsayed
Calculated based on number of publications stored in Pure and citations from Scopus
20102024

Research activity per year

Personal profile

Personal profile

I am a lecturer in computer science with a particular interest in computer vision, machine leatning, human-computer interaction, and affective computing. I lead on the delivery of modules across the Division of Cybersecurity and the Division of Game, Tech, and Math. I am also the leader of the BSc (Hons) Computer Science programme. 

Teaching

As a lecturer in computer science in the School of Design and Informatics. I teach Computing, Ethical hacking, Cybersecurity, and Games students from 2nd year up to post-graduate level. I also manage a number of undergraduate and post-graduate projects, including PhDs in the area of machine learning and vision.

Research interests

Research for my masters thesis focussed on active image authentication and watermarking. My PhD research investigated passive blind image forensics for tamper detection. I also supervised research in cloud computing, parallel computing, and augmented reality.

A few years back, after watching Big Hero 6, I started researching the use of emotions in technology. Currently, I’m investigating the use of affective computing and human emotions in games to create a more believable playing experience. I'm also interested in computer vision, image processing and forensics, AI, and affective computing applications.

Esteem

  • Peer reviewer for the IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) 2015.
  • Peer reviewer for the South African Institute of Electrical Engineers (SAIEE) Journal 2019.
  • Fellow of UK Higher Education Academy with merit (2021). 
  • Peer reviewer (2011-) for: MDPI (Sensors, Applied Sciences, Electronic, AI, Remote Sensing), International Journal of Human-Computer Interaction. 
  • Organising committee of the International Conference on Computing and Communications Applications and Technologies. 
  • Scientific committee of International Conference on Videogame Sciences and Arts (2023-) 
  • Peer reviewer for Springer's MultiMedia Tools and Applications Journal (2023-) 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

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Collaborations and top research areas from the last five years

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  • Evaluating transferable emotion expressions for zoomorphic social robots using VR prototyping

    Macdonald, S., Bretin, R. & ElSayed, S., 28 Nov 2024, 2024 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024: proceedings. Eck, U., Sra, M., Stefanucci, J., Sugimoto, M., Tatzgern, M. & Williams, I. (eds.). Piscataway, NJ: IEEE , p. 1087-1096 10 p. (IEEE International Symposium on Mixed and Augmented Reality).

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

    Open Access
    File
    5 Downloads (Pure)
  • Modelling stress levels in combat NPCs

    Roper, J. & ElSayed, S., 9 Sept 2024, 25th International Conference on Intelligent Games and Simulation, GAME-ON 2024. Bostan, B. & Çatak, G. (eds.). Ostend: EUROSIS, p. 27-34 8 p.

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

    Open Access
    File
    96 Downloads (Pure)
  • Affective adaptation design for better gaming experiences

    Hall, O. & Elsayed, S., 17 Feb 2022, In: International Journal of Computer and Information Engineering. 16, 2, p. 14-20 7 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    206 Downloads (Pure)
  • Affective games: adaptation and design

    Hamdy, S. & King, D., 20 Sept 2019, 20th International Conference on Intelligent Games and Simulation: GAME-ON'2019. Grigg, R. (ed.). Ostend: EUROSIS, p. 11-18 8 p.

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

    Open Access
    File
    212 Downloads (Pure)
  • Determining properties of solar active regions using machine learning

    Meyer, K. A., Panayotov, N., Elsayed, S. H., Kang, K. L. & Mackay, D., 16 Sept 2019, p. 50-51. 1 p.

    Research output: Contribution to conferenceAbstract

    Open Access