Evaluation of a software prototype for supporting fire emergency response. - Raj Prasanna; Lili Yang 001; Malcolm King (ISCRAM, 2011)

GDIA: Eliciting information requirements in emergency first response. - Lili Yang 001; Raj Prasanna; Malcolm King (Requir. Eng., 2015)

Factors affecting the acceptance of information systems supporting emergency operations centres. - Raj Prasanna; Thomas J. Huggins (Comput. Hum. Behav., 2016)

Information systems architecture for fire emergency response. - Raj Prasanna; Lili Yang 001; Malcolm King; Thomas J. Huggins (J. Enterp. Inf. Manag., 2017)

Exploiting Multilingualism and Transfer Learning for Low Resource Machine Translation. - Raj Prasanna (2018)

Enhancing the usability of a disaster app: exploring the perspective of the public as users. - Marion Lara Tan; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; Graham Leonard; David Johnston (ISCRAM, 2019)

Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images. - Nilani Algiriyage; Raj Prasanna; Emma E. H. Doyle; Kristin Stock; David Johnston (ISCRAM, 2020)

Research Themes on Warnings in Information Systems Crisis Management Literature. - Marion Lara Tan; Sara Harrison; Julia S. Becker; Emma E. H. Doyle; Raj Prasanna (ISCRAM, 2020)

Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; David Johnston; Minura Punchihewa; Santhoopa Jayawardhana (ISCRAM, 2021)

Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison. - Nilani Algiriyage; Rangana Sampath; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; David Johnston (ISCRAM, 2021)

Psychological Effects of Dominant Responses to Early Warning Alerts. - Thomas J. Huggins; Lili Yang 001; Jin Zhang 001; Marion Lara Tan; Raj Prasanna (Int. J. Ambient Comput. Intell., 2021)

The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising. - Vivek Velivela; Chahat Raj; Muhammad Salman Tiwana; Raj Prasanna; Mahendra Samarawickrama; Mukesh Prasad (CoRR, 2022)

"Saving Precious Seconds" - A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation. - Raj Prasanna; Chanthujan Chandrakumar; Rasika Nandana; Caroline Holden; Amal Punchihewa; Julia S. Becker; Seokho Jeong; Nandika Liyanage; Danuka Ravishan; Rangana Sampath; Marion Lara Tan (Informatics, 2022)

Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma E. H. Doyle; David Johnston (SN Comput. Sci., 2022)

DEES: a real-time system for event extraction from disaster-related web text. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma E. H. Doyle; David Johnston (Soc. Netw. Anal. Min., 2023)

Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems. - Vinuja Ranasinghe; Nuwan Udara; Movindi Mathotaarachchi; Tharindu Thenuwara; Dileeka Dias; Raj Prasanna; Sampath Edirisinghe; Samiru Gayan; Caroline Holden; Amal Punchihewa; Max Stephens; Paul Drummond (Sensors, 2024)

Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave. - Chanthujan Chandrakumar; Marion Lara Tan; Caroline Holden; Max Stephens; Amal Punchihewa; Raj Prasanna (Earth Sci. Informatics, 2024)

Evaluating P-Wave detection algorithms for earthquake early warning: insights from GeoNet data in Canterbury, Aotearoa New Zealand. - Chanthujan Chandrakumar; Marion Lara Tan; Caroline Holden; Max Stephens; Raj Prasanna (Earth Sci. Informatics, 2025)