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Dr Mai Elshehaly

Senior Lecturer in Data Visualisation (E&R)

School of Science & Technology Department of Computer Science

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About

Overview

Mai is a Senior Lecturer in Data Visualisation at the giCentre, where she designs, develops, and evaluates visualisation solutions to support decision making. Her research focuses on democratising access to data for non-technical users through collaborative, user-centred visualisation design. She works closely with healthcare practitioners, local authorities, and schools to co-design visual tools that support data-driven decisions, with a particular interest in incorporating lived experience into visualisation design.

She is a member of the scientific advisory board at the Wolfson Centre for Applied Health Research, the NIHR-funded Yorkshire and Humber Patient Safety Research Collaboratory, and the Steering Group for the Leeds Centre for Applied Education Research.

Mai received her PhD in Visualisation from the Centre for Human-Computer Interaction at Virginia Tech. Before joining City, she held research and teaching positions at the University of Maryland, Baltimore County, the University of Leeds, and the University of Bradford. Her research has been funded by the Bradford Institute for Health Research (BIHR), NIHR, and EPSRC-related development funds. She publishes in venues including IEEE Visualization Conference, IEEE Transactions on Visualization and Computer Graphics, and Symposium on Large Data Analysis and Visualization.

Qualifications

  • PhD, Virginia Tech, United States, 2012 - August 2015
  • MSc, Virginia Tech, United States, 2007 - August 2009

Employment

  • Senior Lecturer in Data Visualisation, City, University of London, United Kingdom, August 2025 - present
  • Lecturer in Computer Science, City, University of London, United Kingdom, March 2023 - July 2025
  • Lecturer in Computer Science, University of Bradford, United Kingdom, January 2020 - March 2023
  • Research Fellow, University of Leeds, United Kingdom, January 2018 - January 2020
  • Postdoctoral Research Associate, University of Maryland, Baltimore County, United States, August 2015 - August 2016

Languages

Arabic (can read, write, speak, understand spoken, peer review), English (can read, write, speak, understand spoken, peer review) and French (can read, write, speak, understand spoken)

Publications

Publications by category

Conference papers and proceedings (18)

  • Hosseini, A., Wood, J., Slingsby, A., Jianu, R. and Elshehaly, M. (2025). What Do LLMs Prioritise When Adapting Visualizations to User Personas? 2025 IEEE 16th Workshop on Visual Analytics in Healthcare (VAHC) 2 November.doi:10.1109/vahc69430.2025.00007
  • Jianu, R., Hutchinson, M., Andrienko, N., Andrienko, G., Elshehaly, M. and Slingsby, A. (2025). Mind-Mapping Data Analysis with LLMs: From Vision to First Steps. Computer Graphics and Visual Computing 11-12 September, Liverpool, UK.doi:10.2312/cgvc.20251221
  • Elshehaly, M., Reljan-Delany, M., Dykes, J., Slingsby, A., Wood, J. and Spiegel, S. (2024). Visualising Lived Experience: Learning from a Master Narrative Framing. 2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) 14 October.doi:10.1109/beliv64461.2024.00006
  • Elshehaly, M., Eddy, L. and Mon-Williams, M. (2023). CLEVER: A Framework for Connecting Lived Experiences with Visualisation of Electronic Records. 2023 IEEE Visualization and Visual Analytics (VIS) 21-27 October.doi:10.1109/vis54172.2023.00034
  • Hiley, K., Cebolla, H. and Elshehaly, M. The Impact of Non-Formal Computer Science Outreach on Computational Thinking in Young Women. ITiCSE 2023: Innovation and Technology in Computer Science Education.doi:10.1145/3587103.3594197
  • Elshehaly, M., Sohal, K., Lawton, T., Bryant, M. and Mon-Williams, M. (2022). Creative Visualisation Opportunities Workshops: A Case Study in Population Health. 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) 17 October.doi:10.1109/beliv57783.2022.00006
  • Elshehaly, M., Alvarado, N., McVey, L., Randell, R., Mamas, M. and Ruddle, R.A. (2018). From Taxonomy to Requirements: A Task Space Partitioning Approach. 2018 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) 21 October.doi:10.1109/beliv.2018.8634027
  • Thabet, Z., Nabih, A., Azmi, K., Samy, Y., Khoriba, G. and Elshehaly, M. (2018). Lipreading using a comparative machine learning approach. 2018 First International Workshop on Deep and Representation Learning (IWDRL) 29 March.doi:10.1109/iwdrl.2018.8358210
  • Elshehaly, M., Szeto, G., Pan, Z. and Chen, J. (2016). ImmunoExplorer: A Web-Based Multivariate Visualization System for Exploratory Analysis of Immunotherapy. 2016 International Conference on Virtual Reality and Visualization (ICVRV) 24-26 September.doi:10.1109/icvrv.2016.87
  • Splechtna, R., Diehl, A., Elshehaly, M., Delrieux, C., Gračanin, D. and Matković, K. Bus Lines Explorer. VINCI '16: The 9th International Symposium on Visual Information Communication and Interaction.doi:10.1145/2968220.2968238
  • Elshehaly, M., Gracanin, D., Gad, M., Wang, J. and Elmongui, H.G. (2015). Real-time interactive time correction on the GPU. 2015 IEEE Scientific Visualization Conference (SciVis) 25-30 October.doi:10.1109/scivis.2015.7429505
  • Wang, J., Elshehaly, M. and Cao, Y. (2015). Cylindrical acceleration structures for large hexahedral volume visualization. 2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV) 25-26 October.doi:10.1109/ldav.2015.7348068
  • Matkovic, K., Gracanin, D., Splechtna, R., Diehl, A., Elshehaly, M. and Delrieux, C. (2015). Exploring trajectory data using ComVis CMV tool VAST 2015 Mini-Challenge 1. 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) 25-30 October.doi:10.1109/vast.2015.7347663
  • Hall, S., Shaffer, C.A., Fouh, E., ElShehaly, H. and Breakiron, D. Evaluating online tutorials for data structures and algorithms courses. .
  • El-Shehaly, M., Zeitz, K., Zeitz, R., Logan, K., Tao, C., Kim, J.-.S.... Richey, J.A. A VR based intervention tool for autism spectrum disorder. Web3D '13: The 18th International Conference on Web3D Technology.doi:10.1145/2466533.2466574
  • El-Shehaly, M.H., Gračanin, D. and Elmongui, H.G. (2012). Use of CUDA streams for block-based MPEG motion estimation on the GPU. ACM SIGGRAPH 2012 Posters 5-9 August.doi:10.1145/2342896.2342977
  • El-Shehaly, M., Gracanin, D., Abdel-Hamid, A. and Matkovic, K. (2009). A Visualization Framework for Traffic Data Exploration and Scan Detection. 2009 3rd International Conference on New Technologies, Mobility and Security (NTMS) 20-23 December.doi:10.1109/ntms.2009.5384681
  • Hassan, H., El-Shehaly, M. and Abdel-Hamid, A. (2007). Routing and reliable transport layer protocols interactions in MANETs. 2007 International Conference on Computer Engineering & Systems 27-29 November.doi:10.1109/icces.2007.4447072

Journal articles (16)