Research outputs per year
Research outputs per year
Personal profile
Biography
Dr. Nishanthi Raveendran is an Associate Lecturer in Statistics at the School of Computer, Data, and Mathematical Sciences at Western Sydney University. She holds a PhD in Statistics from Macquarie University, where her research focused on developing novel computational algorithms for spatial segmentation and clustering problems. Prior to her current role, she completed a one-year postdoctoral position at Macquarie University. She completed her Master of Research at Macquarie University in 2017, with a thesis titled "Binary Segmentation Methods for Identifying Boundaries of Spatial Domains". For her outstanding thesis, she was awarded the University Medal for Statistics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Qualifications
Doctor of Philosophy, Macquarie University
Master of Research, Macquarie University
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Collaborations and top research areas from the last five years
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Wildfire loss modeling: a flexible semiparametric approach
Raveendran, N., Zhu, H., Li, H. & Sofronov, G., 2025, In: North American Actuarial Journal. 29, 2, p. 329-344 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
A binary segmentation method for detecting topological domains in Hi-C data
Raveendran, N. & Sofronov, G., 2023, Proceedings of the 25th International Congress on Modelling and Simulation (MODSIM 2023), Darwin Convention Centre, Darwin, Northern Territory, 9 - 14 July 2023. Vaze, J., Chilcott, C., Hutley, L. & Cuddy, S. M. (eds.). Modelling and Simulation Society of Australia and New Zealand, p. 737-743 7 p. (Proceedings of the International Congress on Modelling and Simulation, MODSIM).Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
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A Markov chain Monte Carlo algorithm for spatial segmentation
Raveendran, N. & Sofronov, G., Feb 2021, In: Information. 12, 2, p. 1-14 14 p., 58.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Spatial clustering via the cross entropy method
Raveendran, N., Sofronov, G. & Bulger, D., 2020, Proceedings of the 35th International Workshop on Statistical Modelling, July 20-24, 2020, Bilbao, Basque Country, Spain. University of the Basque Country, p. 406-409 4 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
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Identifying clusters in spatial data via sequential importance sampling
Raveendran, N. & Sofronov, G., 2019, Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2017. Fidanova, S. (ed.). Switzerland: Springer, p. 175-189 15 p.Research output: Chapter in Book / Conference Paper › Chapter
4 Citations (Scopus)