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Smart Resilient Cities

A Resilience to Nature's Challenges - Urban Theme project

The Smart Resilient Cities project, with contributions from CRISiSLab, focuses on research on how technologies are transforming the cities that we live in and the way we live in them.


Research Scope

The research project explores topics on emerging technologies and data processing tools such as self-configurable sensor networks, Internet-of-Things, next-generation mobile and broadcasting platforms, machine learning, and artificial intelligence.

Understanding the confluence of trends and the evolving relationship between people, sensors and data is key to designing for resilience in an equitable way. This research project explores how the Smart City model can be used in pre-event recovery planning and post-event response and recovery operations

Meet The Team


David Johnston

Massey University


John Hopkins

University of Canterbury

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Emma Hudson-Doyle

Massey University

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Syed Yasir Imtiaz

GNS Science


Raj Prasanna

Massey University

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Ken Elwood

University of Auckland

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SR Uma

GNS Science


Nilani Algiriyage

Massey University

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Max Stephens

University of Auckland


Marion Tan

Massey University


Julia Becker

Massey University


Chanthujan Chandrakumar

Massey University

Recent Publications

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D., Punchihewa, M., Jayawardhana, S. (2021). Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage. ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management.

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2023). DEES: a real-time system for event extraction from disaster-related web text. Social Network Analysis and Mining.

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2022). Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. SN Computer Science.

Becker, J.S., Potter, S.H., Prasanna, R., Tan, M.L., Payne, B.A., Holden, C., Horspool, N., Smith, R., Johnston, D.M., (2020). Scoping the potential for earthquake early warning in Aotearoa New Zealand: A sectoral analysis of perceived benefits and challenges. International Journal of Disaster Risk Reduction.

Becker, J.S., Potter, S.H., Vinnell, L.J. et al. Earthquake early warning in Aotearoa New Zealand: a survey of public perspectives to guide warning system development. Humanities and Social Sciences Communications 7, 138 (2020).

Chandrakumar, C., Prasanna, R., Stephens, M., Tan, M.L., Holden, H., Punchihewa, A., Becker, J.S., Jeong, S., Ravishan, D. (2022). Algorithms for Detecting P-Waves and Earthquake Magnitude Estimation: Initial Literature Review Findings. Proceedings of the ISCRAM Asia Pacific Conference 2022.

Ghasemi, M.T. Stephens, and K.J. Elwood. (2021). Wellington Building Inventory: Rapid Earthquake Response Framework. Proceedings of the 2021 NZSEE Conference. April 14-16, Christchurch, New Zealand.

Gonzalez R.E., Stephens M.T., Toma C., Dowdell D. (2022) The Estimated Carbon Cost of Concrete Building Demolitions following the Canterbury Earthquake Sequence. Earthquake Spectra.

Harrison, S. E., Potter, S. H., Prasanna, R., Doyle, E. E., & Johnston, D. (2022). Identifying the Impact-Related Data Uses and Gaps for Hydrometeorological Impact Forecasts and Warnings. Weather, Climate, and Society, 14(1), 155-176.

Harrison, S. E., Potter, S. H., Prasanna, R., Doyle, E. E., & Johnston, D. (2021). ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand. International Journal of Disaster Risk Reduction, 102619.

Hong, B., Chandrakumar, C., Ravishan, D., Prasanna, R., (2022). A Peer-to-Peer Communication Method for Distributed Earthquake Early Warning Networks: Preliminary Findings. Proceedings of the ISCRAM Asia Pacific Conference 2022.

Huggins, T. J., & Prasanna, R. (2020). Information Technologies Supporting Emergency Management Controllers in New Zealand. Sustainability, 12(9), 3716.

Imtiaz, SY., Uma, SR., Prasanna, R., Wotherspoon, LM. (2021). ‘End to end’ linkage structure for integrated impact assessment of infrastructure networks under natural hazards. Bulletin of the New Zealand Society for Earthquake Engineering.

Miranda, C., Becker, J. S., Toma, C. L., Vinnell, L. J., & Johnston, D. M. (2021). Seismic experience and structural preparedness of residential houses in Aotearoa New Zealand. International Journal of Disaster Risk Reduction.

O’Connor, H., Hopkins, J. W., Johnston, D. (2021). For the greater good? Data and disasters in a post-COVID world. Journal of the Royal Society of New Zealand.

Prasanna, R., Chandrakumar, C., Nandana, R., Holden, C., Punchihewa, A., Becker, J.S., Jeong, S., Liyanage, N., Ravishan, D., Sampath, R., Tan, M.L.  (2022). “Saving precious seconds”—A novel approach to implementing a low-cost earthquake early warning system with node-level detection and alert generation. Informatics.


Tan, M. L., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., Johnston, D.  (2020). Understanding end-users’ perspectives: Towards developing usability guidelines for disaster apps. Progress in Disaster Science.


Tan, M.L., Harrison, S., Becker, J., Doyle, E.E.H, Prasanna, R (2020). Research Themes on Warnings in Information Systems Crisis Management Literature. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management.

Uma, S.R., Syed, Y., Sapthala, K., Prasanna. R.  (2020). Modelling interdependencies of critical infrastructure network recovery using a decision support system. GNS Science Report.

Vinnell, L. J., Hudson‐Doyle, E. E., Inch, P., Tan, M. L., Becker, J. S., & Johnston, D. M. (2022). Evacuation Behavior and Information Needs of Wellington, Aotearoa New Zealand Residents Following the 5 March 2021 Mw 7.3 East Cape Earthquake. Seismological Research Letters. 93 (3): 1452–1463.


TechWeek 2020

A six-part online webinar with various speakers per sessions. The sessions are conversations about macro trends and social innovations that are shaping our digital urban environtments



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