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Dr Nicolas Rebuli
PhD Student
The University of Adelaide
Nicolas is a recent PhD graduate from the School of Mathematics at The University of Adelaide. He studied under Prof Nigel Bean and Prof Joshua Ross. He is interested in statistical methods relating to the prediction and analysis of infectious diseases.
Research Interests:
Bayesian computational algorithms
Computational biology
epidemiology
Hidden Markov models
Prizes, awards and special recognition
2018
Dean's Commendation for Doctoral Thesis Excellence was awarded to Nicolas Rebuli. Awarded from the Dean of Graduate Studies, University of Adelaide.
From https://www.adelaide.edu.au/graduatecentre/handbook/09-examination/06-commendations-medals/:
Dean’s Commendation for Doctoral or Master by Research Thesis Excellence
Where an examiner has recommended that the degree be awarded with or without amendment (recommendation categories 1 or 2), examiners are also asked to indicate whether the thesis is outstanding and deserves a commendation for doctoral or master by research thesis excellence from the Dean of Graduate Studies.
If your thesis is rated by both examiners as worthy of a commendation, you will receive a letter of congratulations from the Dean of Graduate Studies and a record of the commendation will be added to the prizes and awards section of your academic transcript. Theses submitted within four years (doctorate) or two years (master by research), in which at least one examiner has recommended a commendation may also be eligible for a commendation, provided that all examiners have recommended the award of the degree.
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Congratulations to Peter Ballard and Nicolas Rebuli on receiving a Dean's Commendation for Excellence for their PhD theses!
Publications
Journal Articles
Yan, A. W. C., Black A. J., McCaw J. M., Rebuli N. P., Ross J.V., Swan A. J., et al.
(2018). The distribution of the time taken for an epidemic to spread between two communities.
Mathematical Biosciences. 303, 139 - 147. doi: 10.1016/j.mbs.2018.07.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2018). Estimating the basic reproductive number during the early stages of an emerging epidemic.
Theoretical Population Biology. 119, 26-36. doi: 10.1016/j.tpb.2017.10.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2017). Hybrid Markov chain models of S–I–R disease dynamics.
Journal of Mathematical Biology. doi: 10.1007/s00285-016-1085-2
Rebuli, N. P., Ross J.V., & Bean N. G.
(2017). Estimating the basic reproductive number during the early stages of an emerging epidemic.
Theor Popul Biol.. doi: 10.1016/j.tpb.2017.10.004
Rebuli, N. P., Bean N. G., & Ross J.V.
(2017). Hybrid Markov chain models of S–I–R disease dynamics.
Journal of Mathematical Biology. 75(3), 521 - 541. doi: 10.1007/s00285-016-1085-2
Research links
