PhD (Computer Science), The University of Melbourne, Australia
Master of Technology (Computer Science), Jawaharlal Nehru University, India
Bachelor of Engineering (Computer Engineering), Kathmandu University, Nepal
Arts, Design & Architecture (ADA)
School of Built Environment
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Rabindra Lamsal is a Postdoctoral Fellow at the GRID Lab, UNSW, contributing to the Resilient and Intelligent Infrastructure Systems (RIIS) ARC ITRH in collaboration with FrontierSI.
He earned his PhD from the School of Computing and Information Systems at the University of Melbourne, specializing in large language models (LLMs) and natural language processing (NLP). His current research focuses on developing state-of-the-art systems that provide easy, natural-language interaction between humans and data. This includes designing intelligent chatbots capable of conversing with complex 3D data such as BIM IFC and CityGML.
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
Book Chapters | 2020
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 | 2025
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
Journal articles | 2024
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, http://dx.doi.org/10.1016/j.knosys.2024.111916
Journal articles | 2024
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
Journal articles | 2023
Lamsal R; Harwood A; Read MR, 2023, 'Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey', ACM Computing Surveys, 55, http://dx.doi.org/10.1145/3524498
Journal articles | 2023
Lamsal R; Read MR; Karunasekera S, 2023, 'BillionCOV: An enriched billion-scale collection of COVID-19 tweets for efficient hydration', Data in Brief, 48, http://dx.doi.org/10.1016/j.dib.2023.109229
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
, 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
Conference Papers | 2022
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
Conference Papers | 2022
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
