Dr Mengdie Zhuang

PhD (Sheffield), PGCert (Sheffield), SFHEA

School of Information, Journalism and Communication

Lecturer in Data Science

m.zhuang@sheffield.ac.uk

Room C223, The Wave

Full contact details

Dr Mengdie Zhuang
School of Information, Journalism and Communication
Room C223
The Wave
2 Whitham Road
Sheffield
S10 2AH

Profile: Mengdie is a lecturer in Data Science in the Information School at the University of Sheffield. Her work focuses on understanding how people interact with AI systems in the process of interpreting data and then acquiring information, and how this interaction augments the user experience and influences decision-making. She specialises in using methods from Data Visualization, Machine Learning, HCI to create innovative methodologies and guide interface design, addressing challenges in areas such as healthcare and human mobility. She was a research associate at the UCL Centre for Advanced Spatial Analysis (UCL CASA). She completed a PhD in Information Retrieval at the University of Sheffield.

Research interests: * Data Visualisation
* Human Interaction with AI Applications
* User Engagement
* Digital Health
* Human Mobility
* Interactive Information Retrieval

Publications

Allcock JA, Zhuang M, Li S & Zhao X (2024) Landscape of digital technologies used in the National Health Service in England: content analysis. JMIR Formative Research, 8. View this article in WRRO
Zhuang M, Concannon D & Manley E (2022) A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), 1715-1731.
Ross S, Breckenridge G, Zhuang M & Manley E (2021) Household visitation during the COVID-19 pandemic. Scientific Reports, 11(1).
Manley E, Ross S & Zhuang M (2021) Changing demand for New York yellow cabs during the COVID-19 pandemic. Findings. View this article in WRRO
Budd J, Miller BS, Manning EM, Lampos V, Zhuang M, Edelstein M, Rees G, Emery VC, Stevens MM, Keegan N , Short MJ et al (2020) Digital technologies in the public-health response to COVID-19. NATURE MEDICINE, 26(8), 1183-1192.

Gadiraju U & Zhuang M (2019) What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing, Human–Computer Interaction Series (pp. 163-188). Springer International Publishing

Xu L, Zhuang M & Gadiraju U (2021) How Do User Opinions Influence Their Interaction With Web Search Results?. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
Zhuang M & Gadiraju U (2019) In What Mood Are You Today?. Proceedings of the 10th ACM Conference on Web Science
Zhuang M, Toms EG & Demartini G (2018) Can User Behaviour Sequences Reflect Perceived Novelty?. Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp 1507-1510)
Zhuang M, Demartini G & Toms EG (2017) Understanding Engagement through Search Behaviour. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (pp 1957-1966)
Zhuang M (2017) Modelling User Behaviour based on Process. Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (pp 343-346)
Zhuang M (2016) Modelling User Search Behaviour Based on Process. Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Zhuang M, Toms E & Demartini G (2016) The Relationship between User Perception and User Behaviour in Interactive Information Retrieval Evaluation. Advances in Information Retrieval (pp 293-305). Padua, Italy, 20 March 2016 - 20 March 2016. View this article in WRRO
Zhuang M, Toms EG & Demartini G (2016) Search behaviour before and after search success. CEUR Workshop Proceedings, Vol. 1647

Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al (2025) Towards deployment-centric multimodal AI beyond vision and language, arXiv.
Allcock JA, Zhuang M, Li S & Zhao X (2023) Landscape of Digital Technologies Used in the National Health Service in England: Content Analysis (Preprint), JMIR Publications Inc..
Zhuang M, Concannon D & Manley E (2020) A Framework for Evaluating Dashboards in Healthcare, arXiv.
Bennett I, Budd J, Manning EM, Manley E, Zhuang M, Cox IJ, Short M, Johnson AM, Pillay D & McKendry RA (2020) Go local: The key to controlling the COVID-19 pandemic in the post lockdown era, arXiv.

Grants

Digital Health Hub for AMR

EPSRC

Co-Investigator

£4,195,584

01 December 2023

36 months

Teaching interests: I teach modules in the areas of programming, data mining, digital health and data visualisation.

Teaching activities

INF114 - Communicating Data

Data Translation

INF4000 - Data Visualisation

INF6032 - Big Data Analytics