By Dr Rabindra Lamsal

Book Chapters

Lamsal R; Kumar TVV, 2020, 'Artificial Intelligence and Early Warning Systems', in Disaster Research and Management Series on the Global South, Springer Nature Singapore, pp. 13 - 32, http://dx.doi.org/10.1007/978-981-15-4291-6_2

Lamsal R; Vijay Kumar TV, 2020, 'Artificial Intelligence Based Early Warning System for Coastal Disasters', in Disaster Research and Management Series on the Global South, Springer Singapore, pp. 305 - 320, http://dx.doi.org/10.1007/978-981-15-4294-7_21

Journal articles

Lamsal R; Read MR; Karunasekera S; Imran M, 2025, 'CReMa: Crisis Response Through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media', IEEE Transactions on Computational Social Systems, 12, pp. 306 - 319, http://dx.doi.org/10.1109/tcss.2024.3453226

Lamsal R; Read MR; Karunasekera S, 2024, 'Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts', Proceedings of the International ISCRAM Conference, http://dx.doi.org/10.59297/zxa19c16

Lamsal R; Read MR; Karunasekera S, 2024, 'CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts', Knowledge-Based Systems, 296, pp. 111916 - 111916, http://dx.doi.org/10.1016/j.knosys.2024.111916

Lamsal R; Harwood A; Read MR, 2023, 'Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey', ACM Computing Surveys, 55, pp. 1 - 38, http://dx.doi.org/10.1145/3524498

Lamsal R; Read MR; Karunasekera S, 2023, 'BillionCOV: An enriched billion-scale collection of COVID-19 tweets for efficient hydration.', Data Brief, 48, pp. 109229, http://dx.doi.org/10.1016/j.dib.2023.109229

Lamsal R; Harwood A; Read MR, 2022, 'Twitter conversations predict the daily confirmed COVID-19 cases.', Appl Soft Comput, 129, pp. 109603, http://dx.doi.org/10.1016/j.asoc.2022.109603

Lamsal R, 2021, 'Design and analysis of a large-scale COVID-19 tweets dataset.', Appl Intell (Dordr), 51, pp. 2790 - 2804, http://dx.doi.org/10.1007/s10489-020-02029-z

Lamsal R; Katiyar S, 2020, 'cs-means: Determining optimal number of clusters based on a level-of-similarity', SN Applied Sciences, 2, http://dx.doi.org/10.1007/s42452-020-03582-5

Conference Papers

, 2023, 'A Twitter Narrative of the COVID-19 Pandemic in Australia', in Proceedings of the International ISCRAM Conference, University of Nebraska at Omaha (USA), presented at 20th International ISCRAM Conference, http://dx.doi.org/10.59297/gqed8281

Lamsal R; Harwood A; Read MR, 2022, 'Where did you tweet from? Inferring the origin locations of tweets based on contextual information', in 2022 IEEE International Conference on Big Data (Big Data), IEEE, pp. 3935 - 3944, presented at 2022 IEEE International Conference on Big Data (Big Data), 17 December 2022 - 20 December 2022, http://dx.doi.org/10.1109/bigdata55660.2022.10020460

Lamsal R; Harwood A; Read MR, 2022, 'Addressing the location A/B problem on Twitter', in Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, ACM, pp. 1 - 4, presented at SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems, http://dx.doi.org/10.1145/3557992.3565989

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