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Dr Peter Ballard
Associate Investigator
The University of Adelaide
Peter Ballard is a University Postdoctoral Fellow at the University of Adelaide. His research interests include mathematical epidemiology, stochastic modelling (in particular the SIR infection model and related models), stochastic decision processes and MCMC (Markov Chain Monte Carlo) techniques. He completed a Ph.D. in Applied Mathematics at the University of Adelaide in 2018. Previously he worked as an electronic engineer, and has more than two decades' experience in the design, modelling and simulation of electronic circuits.
Research Interests:
Markov Chain Monte Carlo
Markov chain Monte Carlo simulation algorithms
Markov decision process
Mathematical modelling
Modelling of epidemics
Stochastic Processes
Qualifications:
B.E. Hons (Electrical and Electronic) (Adelaide)
Grad. Dip. Math. Sci (Adelaide)
Ph.D. (Adelaide)
Prizes, awards and special recognition
2018
Dean's Commendation for Doctoral Thesis Excellence was awarded to Peter Ballard. 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
Ballard, P. G., Bean N. G., & Ross J.V.
(2017). Intervention to maximise the probability of epidemic fade-out.
Mathematical Biosciences. 293, 1 - 10. doi: 10.1016/j.mbs.2017.08.003
Ballard, P. G., Bean N. G., & Ross J.V.
(2016). The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography.
Journal of Theoretical Biology. 393, 170-178. doi: 10.1016/j.jtbi.2016.01.012