Publications

We are dedicated to advancing the frontiers of knowledge in our respective fields and sharing our findings with the broader research community. We regularly publish our research and insights in a variety of formats, including academic journals, conference proceedings, books, and reports.

Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand.

Danuka Ravishan, Raj Prasanna, Pasan Herath & Emma E. H. Doyle

Nature Scientific Reports (2026)

Earthquake P-wave detection is the first and most critical step in Earthquake Early Warning (EEW), as detection speed determines how much time is available before strong shaking arrives, while detection accuracy governs the reliability of the warning. Conventional P-Wave detection methods such as Short-Term Average over Long-Term Average (STA/LTA) often struggle in complex noise environments and exhibit higher detection latency. Deep learning offers a more robust alternative by learning complex waveform characteristics directly from data, enabling faster and more reliable detections. However, the high computational cost of deep models limits their use on low-cost, resource-constrained edge devices in decentralized EEW networks. Here we present a lightweight Convolutional Neural Network optimized for real-time P- and S-wave detection on edge hardware using only two seconds of seismic input waveforms. Trained on approximately 89 K waveform segments recorded by strong-motion sensors across New Zealand, the model achieves an overall accuracy of 97.12% and correctly identifies 98% of P-wave segments. With ~ 38 K trainable parameters and sub-7-millisecond inference time on Raspberry Pi 5 hardware, the model demonstrates efficient operation under edge-computing constraints. Its ability to generalize to high-magnitude events highlights its strong potential for integration into distributed EEW systems.

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Publication List

2026

Ravishan, D., Prasanna, R., Herath, P. et al. Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand. Sci Rep 16, 11536 (2026). https://doi.org/10.1038/s41598-026-42568-y

Prasanna, R., Tan, M. L., & Adikari Appuhamilage, K. (2026). Technological innovations in disaster management. In K. Goniewicz & A. Khorram-Manesh (Eds.), Resilience and recovery in disaster and emergency management (pp. 83–101). Academic Press. https://doi.org/10.1016/B978-0-443-40509-9.00006-7

Golding, B., Potter, S., Johnston, D., Ebert, E., Kox, T., Taylor, A., Tan, M., Sun, J., Reimer, M., Robbins, J., Mills, B., Liang, X., Zhang, Q., & Li, L. (2026). Making Warnings Count: 10 Years of Research in High-Impact Weather. Bulletin of the American Meteorological Society. 107(3), E372-E385 https://doi.org/10.1175/BAMS-D-25-0123.1

2025

Chandrakumar, C., Stephens, M. T., & Prasanna, R. (2025). Installation methods for ground motion sensors in community-engaged earthquake early warning system. Bulletin of the New Zealand Society for Earthquake Engineering, 58(3), 212-218.

Power, W.L., Flores Henriquez, C., Lukovic, B., Nilsson, D., Tan, M.L., Kuligowski, E., Hudson-Doyle, E.E., Boersen, K., Leonard, G.S., Thomas, K-L., Wilson, T.M., Khan, H. (2025). Tsunami Evacuation Modelling for Napier, Gisborne, and South New Brighton and Southshore. Lower Hutt (NZ): GNS Science. 75 p. (GNS Science Report 2025/20). https://doi.org/10.21420/YSA2-8731

Iddamalgoda, A., Sashik, D., Jayakody, A., Manchanayake, N., Abeygunawardhana, P. K., & Prasanna, R. (2025, October). Advanced Three-Axis Shake Table System for Comprehensive Earthquake Simulation and Structural Dynamics Research. In TENCON 2025-2025 IEEE Region 10 Conference (TENCON) (pp. 642-646). IEEE.

Chanthujan Chandrakumar, Marion Lara Tan, Caroline Holden, Max Stephens, Raj Prasanna; Performance Evaluation of a Community‐Engaged Low‐Cost Earthquake Early Warning System for Aotearoa New Zealand. Seismological Research Letters 2025; doi: https://doi.org/10.1785/0220240364

Hughes, B., Illsley-Kemp, F., Mestel, E., Townend, J., Chandrakumar, C., & Prasanna, R. (2025). Using citizen science Raspberry Shake seismometers to enhance earthquake location and characterization: a case study from Wellington, New Zealand. Seismica, 4(1).

Chandrakumar, C., Tan, M. L., Holden, C., Stephens, M. T., & Prasanna, R. (2023). Performance analysis of P-wave detection algorithms for a community-engaged earthquake early warning system – a case study of the 2022 M5.8 Cook Strait earthquake. New Zealand Journal of Geology and Geophysics, 1–16. https://doi.org/10.1080/00288306.2023.2284276

Chandrakumar, C. Development of a community-engaged, low-cost earthquake early warning system using MEMS-based sensors: Enhancing and adapting the PLUM algorithm (2025) (Doctoral dissertation, Massey University).

Chandrakumar, C., Tan, M. L., Holden, C., Stephens, M. T., & Prasanna, R. (2025). Evaluating P-Wave detection algorithms for earthquake early warning: insights from GeoNet data in Canterbury, Aotearoa New Zealand. Earth Science Informatics, 18(1), 46.

2024

Torres, J. G., Botero, C. M., & Jaramillo-Velez, A. (2024). A Comparison of Beach Profile Methods from Technical, Operational, and Economical Dimensions. Journal of Coastal Research, 40(2). https://doi.org/10.2112/jcoastres-d-23a-00011.1

Ranasinghe, V., Udara, N., Mathotaarachchi, M., Thenuwara, T., Dias, D., Prasanna, R., ... & Drummond, P. (2024). Rapid and resilient lora leap: A novel multi-hop architecture for decentralised earthquake early warning systems. Sensors, 24(18), 5960.

Ahangama, N., Prasanna R. (2024). A case of flood response in Sri Lanka: Surviving floods through social capital and situational leadership. In S. Feldmann-Jensen, S.J. Jensen, J. Slick (Eds.), Case Studies in Disaster Response, Disaster and Emergency Management: Case Studies in Adaptation and Innovation. Elsevier. https://doi.org/10.1016/B978-0-12-809526-3.00015-4

Dassanayake, S., Mahakalanda, I., & Prasanna, R. (2024, August). Spatial Autocorrelation Analysis of Land Surface Temperature Distribution Influenced by Built Areas in the North Central Province of Sri Lanka. In 2024 Moratuwa Engineering Research Conference (MERCon) (pp. 278-283). IEEE.

Chandrakumar, C., Tan, M.L, Holden, C., Stephens, M., Punchihewa, A., & Prasanna, R. (2024). Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave. Earth Science Informatics. https://doi.org/10.1007/s12145-024-01403-6

Kroher, L., Tan, M. L., & Prasanna, R. (2024, May). Exploring the roles and challenges of disruptive technologies for emergency management in Aotearoa New Zealand. In Proceedings of the International ISCRAM Conference.

Chandrakumar, C., Tan, M. L., Holden, C., Stephens, M. T., & Prasanna, R. (2024). Adapting PLUM: Earthquake Early Warning with Node-Level Processing in New Zealand. ISCRAM Proceedings, 21. https://ojs.iscram.org/index.php/Proceedings/article/view/53Kroher, L., Tan, M. L., & Prasanna, R. (2024). Exploring the roles and challenges of disruptive technologies for emergency management in Aotearoa New Zealand. ISCRAM Proceedings, 21. https://ojs.iscram.org/index.php/Proceedings/article/view/94

Harrison, SE., Potter, SH., Prasanna, R., Doyle, EEH., & Johnston, D. (2024). Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2024.104395

Harrison, S.E., Tan, M.L., Prasanna, R., Doyle, E.E.H. (2024). Social media use by multiple stakeholders and rightsholders during the Fort McMurray wildfires. In S. Feldmann-Jensen, S.J. Jensen, J. Slick (Eds.), Case Studies in Disaster Response, Disaster and Emergency Management: Case Studies in Adaptation and Innovation. Elsevier. https://doi.org/10.1016/B978-0-12-809526-3.00015-4

Johnston, D.M., Tan, M. L., Tapuke, K., Toma, C., Stephens, M., Wotherspoon, L., Leonard, G., Power, W., Adikari, K. (2024). Tsunami resilience: Aotearoa New Zealand’s path to integrated risk management and engineering design. 2024 Annual Technical Conference for the New Zealand Society for Earthquake Engineering. https://repo.nzsee.org.nz/handle/nzsee/2758

Stoetzer, O., Tan, M.L., Power, W.L., Hudson-Doyle, E.E., McCombe, G., & Johnston, D.M. (2024) Tsunami evacuation modelling: Expert Elicitation Workshops report. Lower Hutt, N.Z.: GNS Science. GNS Science report 2024/33. https://doi.org/10.21420/GZMM-J986

2023

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. https://doi.org/10.1007/s13278-022-01007-2

Gober, M., Christel, I., Hoffman, D., Mooney, C.J., Rodriquez, L., Becker, N., Ebert, E.E., Fearnley, C., Fundel, V.J., Grieger, T., Golding, B., Jeurig, J., Kelman, I., Kox, T., Magro, F-A., Perrels, A., Postigo, J.C., Potter, S.H., Robbins, J., Rust, H., Schoster, D., Tan, M.L., Taylor, A., and William, H. (2023). Enhancing the value of weather and climate services in society - identified gaps and needs as outcomes of the 1st WMO WWRP/SERA “Weather and Society” Conference. Bulletin of American Meteorological Society. https://doi.org/10.1175/BAMS-D-22-0199.1

Tan, M. L., Brown, A., Stock, K., Becker, J. S., Kenney, C., Lambie, E., Cui, A., Prasanna, R. (2023). “Balancing human needs with technology” – a design-led approach for exploring an earthquake early warning system in Aotearoa New Zealand. In S. M. van Manen, K. Kremer, T. S. Lin, & R. Ramírez (Eds.), Design for Emergency Management. Routledge. https://doi.org/10.4324/9781003306771-9

Tan, M.L., Vinnell, L.J., Valentin, A.P.M., Prasanna, R., Becker, J.S. (2023). The public's perception of an earthquake early warning system: A study on factors influencing continuance intention. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2023.104032

Vinnell, L. J., Tan, M. L., Prasanna, R., & Becker, J. S. (2023) Knowledge, perceptions, and behavioural responses to earthquake early warning in Aotearoa. Frontiers in Communication. https://doi.org/10.3389/fcomm.2023.1229247

2022

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. https://doi.org/10.1007/s42979-021-00971-4

Becker, J.S., Vinnell, L.J., McBride, S.K., Nakayachi, K., Doyle, E.E.H., Potter, S.H., and Bostrom, A. (2022). The effects of earthquake experience on intentions to respond to earthquake early warnings. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.857004

Chandrakumar, C., Prasanna, R., Stephens, M. (2022). An ecosystem of low-cost sensors toward earthquake early Warning: An earthquake early warning system with multi-sensor capability. QuakeCoRE Annual Meeting, Napier, New Zealand. [PDF]

Chandrakumar, C., Prasanna, R., Stephens, M., Tan, M.L. (2022). Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review. Frontiers in Sensors. https://doi.org/10.3389/fsens.2022.1020202

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. https://idl.iscram.org/files/chanthujanchandrakumar/2023/2488_ChanthujanChandrakumar_etal2023.pdf

Dassanayake, S.M., Mahakalanda, I., Sanjula, D.M.R., Dissanayake, R., Pasan, M., Gunathunga, I., Thilina, N.K.G., Jayasooriya, P., Prageeth, R.M., Rathnayake, S., Jayawardena, C.L., Prasanna, R. (2022). Geospatial Impact Analytics of Hydrometeorological Hazards: A Study on Urban and Suburban Floods in Sri Lanka using Online Textual Data. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/smdassanayake/2023/2489_S.M.Dassanayake_etal2023.pdf

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2022). Identifying the Impact-Related Data Uses and Gaps for Hydrometeorological Impact Forecasts and Warnings. Weather, Climate, and Society. https://doi.org/10.1175/WCAS-D-21-0093.1

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2022). ‘Sharing is caring’: A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand. Progress in Disaster Science. https://doi.org/10.1016/j.pdisas.2021.100213

Holden, C. (2022). Engaging with end-users towards an earthquake early warning system for New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. [PDF]

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. https://idl.iscram.org/files/benjaminhong/2023/2485_BenjaminHong_etal2023.pdf

Huggins, T.J., Tan, M. L., Kuo, Y., Prasanna, R., Rea, D.D. (2022). Online learning adoption by Chinese university students during the Covid-19 pandemic. Australasian Journal of Disaster and Trauma Studies. https://trauma.massey.ac.nz/issues/2022-IS/AJDTS_26_IS_Huggins.pdf

Jayasinghe, K., Wijesinghe, C., Wijethilake, C., Prasanna, R. (2022). Collaborative public service provision archetypes in healthcare emergencies: a case of COVID-19 administration in Sri Lanka. Journal of Public Budgeting, Accounting & Financial Management. https://doi.org/10.1108/JPBAFM-12-2020-0191

Jayasiri, G.P., & Prasanna, R. (2022). Citizen Science for supporting Disaster Management Institutions in Sri Lanka. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/gpjayasiri/2023/2482_G.P.Jayasiri+RajPrasanna2023.pdf

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 low-cost earthquake early warning system for Aotearoa, New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. [PDF]

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. https://doi.org/10.3390/informatics9010025

Tan M.L., Prasanna, R., Cui, A., Chandrakumar, C., Imtiaz, S.Y., Hong, B., Viggers, Z. (2022). CRISiSLab Challenge: Hands-on learning with Raspberry Shake seismometers. QuakeCoRE Annual Meeting, Napier, New Zealand. [PDF]

Tan M.L., Vinnell, L., Prasanna, R., Becker, J.S. (2022). The public’s initial insights on the Android Earthquake Alerts in Aotearoa New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. [PDF]

Tan, M.L., Becker, J.S., Stock, K., Prasanna, R., Brown. A., Kenney, C., Cui, A., Lambie, E. (2022). Understanding the social aspects of earthquake early warning: A literature review. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.939242

Tan, M.L., Hoffmann, D., Ebert, E., Cui, A., Johnston, D., (2022). Exploring the potential role of citizen science in the warning value chain for high impact weather. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.949949

Tan, M.L., Senaweera, O., Gunwardana, A., Rasith, M., Suaib, M., Shanthakumar, T., Hisham, M. (2022). New Zealand COVID Tracer App: Understanding Usage and User Sentiments. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/marionlaratan/2023/2483_MarionLaraTan_etal2023.pdf

Velivela, V., Raj, C., Tiwana, M.S., Prasanna, R., Samarawickrama, M., Prasad, M. (2022). The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/vivekvelivela/2023/2496_VivekVelivela_etal2023.pdf

Vinnell, L.J., Doyle, E.E.H., Inch, P., Tan, M.L., Becker, J.S., Johnston, D.J. (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. https://doi.org/10.1785/0220210286

2021

Ahangama, N., & Prasanna, R (2021). Micro-theory on knowledge transfer to foster disaster resilience: A grounded theory approach. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102569

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. https://idl.iscram.org/files/nilanialgiriyage/2021/2311_NilaniAlgiriyage_etal2021.pdf

Algiriyage, N., Sampath, R., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2021). Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison. ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/nilanialgiriyage/2021/2368_NilaniAlgiriyage_etal2021.pdf

Brown, A., Parkin, T., Tan, M. L., Prasanna, R., Becker, J., Stock, K., Kenney, C., & Lambie, E. (2021). An earthquake early warning system for Aotearoa New Zealand? Community engagement findings 2020–2021. Massey University Online Repository. http://hdl.handle.net/10179/16735

Goded, T., Tan, M. L., Becker, J. S., Horspool, N., Canessa, S., Huso, R., Johnston, D. M. (2021). Using citizen data to understand earthquake impacts: Aotearoa New Zealand's earthquake Felt Reports. Australasian Journal of Disaster and Trauma Studies. https://www.massey.ac.nz/~trauma/issues/2021-3/AJDTS_25_3_Goded.pdf

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., 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. https://doi.org/10.1016/j.ijdrr.2021.102619

Huggins, T. J., Yang, L., Zhang, J., Tan, M. L., Prasanna, R. (2021). Psychological Effects of Dominant Responses to Early Warning Alerts. International Journal of Ambient Computing and Intelligence. http://doi.org/10.4018/IJACI.2021070101

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. https://doi.org/10.5459/bnzsee.54.2.153-162

Jayawardene, V., Huggins, TJ., Prasanna, R., Fakhruddin, B. (2021). The role of data and information quality during disaster response decision-making. Progress in Disaster Science. https://doi.org/10.1016/j.pdisas.2021.100202

Squance, H., Macdonald, C., Stewart, C., Prasanna, R., Johnston, D.M. (2021). Strategies for implementing a one welfare framework into emergency management. Animals. https://doi.org/10.3390/ani11113141

Tan M.L., Brown, A., Prasanna, R., Becker, J., Stock, K., Kenney, C., Cui, A., Lambie, E., Parkin, T., Reade, A., Tobin, A., Law, M. (2021). An earthquake early warning system for Aotearoa New Zealand? QuakeCoRE Annual Meeting, Online, New Zealand. [PDF]

Tan, M. L., Prasanna, R., Becker, J. S., Brown, A., Kenney, C., Lambie, E., Johnston, D. M., Stock, K., De Alwis, D. (2021). Outlook for earthquake early warning for Aotearoa New Zealand : Insights from initiating a community-of-practice. 2021 Annual Technical Conference for the New Zealand Society for Earthquake Engineering. https://repo.nzsee.org.nz/handle/nzsee/2350

Tan, M.L., Leonard, G.L., Johnston, D.M. (2021). Hawke's Bay Regional Alerting Systems Review. Disaster Research Science Report. https://www.hbemergency.govt.nz/assets/Documents/Reporting/Massey-University-Report-HB-Regional-Alerting-Systems-Review-DSR-Report-2021-4.pdf

Vinnell, L. J., Becker, J. S., Scolobig, A., Johnston, D. M., Tan, M. L., McLaren, L. (2021). Citizen science initiatives in high-impact weather and disaster risk reduction. Australasian Journal of Disaster and Trauma Studies. https://trauma.massey.ac.nz/issues/2021-3/AJDTS_25_3_Vinnell.pdf

2020

Algiriyage, N., Prasanna, R., Doyle, EEH., Stock, K., Johnston, D. (2020). Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/nilanialgiriyage/2020/2211_NilaniAlgiriyage_etal2020.pdf

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. https://doi.org/10.1016/j.ijdrr.2020.101765

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2020). Volunteered Geographic Information for people-centred severe weather early warning: A literature review. Australasian Journal of Disaster and Trauma Studies. https://www.massey.ac.nz/~trauma/issues/2020-1/AJDTS_24_1_Harrison.pdf

Huggins, T. J., & Prasanna, R (2020). Information technologies supporting emergency management controllers in New Zealand. Sustainability. https://doi.org/10.3390/su12093716

Jayasinghe, K., Kenney, C. M., Prasanna, R., Velasquez, J. (2020). Enacting “accountability in collaborative governance”: lessons in emergency management and earthquake recovery from the 2010–2011 Canterbury Earthquakes. Journal of Public Budgeting, Accounting & Financial Management. https://doi.org/10.1108/JPBAFM-09-2019-0143

Tan M.L., Prasanna, R., Becker, J., Holden, C., Waidyanatha, N., Punchihewa, A., Jeong, S., Stock, S., Brown, A., Kenney, C., Lambie, E., Nandana, R. (2020). An ongoing project for conceptualising a community-engaged network of low-cost sensors for earthquake early warning in Aotearoa New Zealand. QuakeCoRE Annual Meeting, Nelson, New Zealand. https://hdl.handle.net/10092/101476

Tan, M. L., Prasanna, R., Stock, K., Doyle, E. E.H., Leonard, G., Johnston, D. (2020). Modified Usability Framework for Disaster Apps: A Qualitative Thematic Analysis of User Reviews. International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-020-00282-x

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. https://doi.org/10.1016/j.pdisas.2020.100118

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. https://idl.iscram.org/files/marionlaratan/2020/2299_MarionLaraTan_etal2020.pdf

Tan, M.L., Prasanna, R., Stock, K., Doyle, E.E.H., Leonard, G., Johnston, D. (2020). Usability factors influencing the continuance intention of disaster apps: A mixed-methods study. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2020.101874

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. https://shop.gns.cri.nz/sr_2020-18-pdf/