This page contains selected references from major projects including doctoral and postdoctoral work. For the most up to date publication list, please check Google Scholar and ORCID.


Citation Description
Clifford (2013) Spatio-temporal modelling of ultrafine particle number concentration - Using the Generalised Additive Model to model temporal trends in ultrafine particle number concentration with penalised splines and spatial trends with Gaussian Markov Random fields.
Clifford (2008) Honours thesis on dispersion of a compount in shear-augmented flow

Citizen science for spatial statistics

Citation Description
Peterson et al. (2018) Spatio-temporal model of coral cover derived from traditional monitoring and citizen science elicitation of captured images
Vercelloni et al. (2018) Gathering information from experts and citizen scientists in a virtual environment to understand what people believe makes an aesthetically pleasing reef
Mengersen et al. (2017) Spatial modelling of presence only data with a variety of statistical and machine learning techniques
Bednarz et al. (2016) Using virtual environments to elicit information about ecosystems

Machine learning for remote sensing data

Citation Description
Colin et al. (2018) Analysing how the scale of spatial aggregation can influence how well a model explains variability in a data set
Colin et al. (2017) Boosted regression trees for spatial modelling of agricultural capacity
Yeganeh et al. (2017) Application of statistical and machine learning models used to estimate air pollution concentrations from satellite imagery

Urban air pollution and its health effects

Citation Description
Clifford et al. (2018) Main UPTECH paper detailing the inflammatory and pulmonary response to ultrafine particles
Mazaheri et al. (2018) Personal exposure assessment for home, office, commuting and other exposure
Morawska et al. (2017) Indoor sources of exposure in the home, office, school and aged care facilities
M. M. Rahman, Yeganeh, et al. (2017) Land use regression modelling with variable selection of NOx and NO2 concentrations
M. M. Rahman, Mazaheri, et al. (2017) Bayesian GAMs used to model urban background particle concentrations and the contribution of new particle formation
Salthammer et al. (2016) Impact of climate and air pollution on children's health at school
Toms et al. (2015) Multinomial regression modelling to look at the relative proportions of various polybrominated diphenyl ethers across classrooms
Clifford et al. (2014) Mathematical and statistical models for particle deposition inside the lung
Mazaheri et al. (2014) Analysis of inhaled particles in primary school children
Clifford et al. (2013) Spatio-temporal model in INLA of air pollution in Brisbane, Australia

Non-parametric modelling of time series data

Citation Description
Liew et al. (2018) Functional data analysis to compare the impact of two different training programs for athletes
van Havre et al. (2017) Overfitted mixtures and Dirichlet process mixtures for spike classification
Clifford and Low Choy (2012) A book chapter on various implementations of Bayesian spline regression
Clifford et al. (2012) A preprint of an unpublished paper looking into Bayesian GAMs with autocorrelated errors
Clifford et al. (2011) Using GAMs to model temporal trends and covariate effects for PNC in Helsinki, Finland

Atmospheric processes and instrumentation

Citation Description
Salimi et al. (2017) New particle formation typically occurs during daylight; here we investigate evidence of night time events
Rivas et al. (2017) Identification of problems with DustTrak performance seen during measurement campaigns -- indicating conditions under which this instrument shouldn't be used
Jayaratne, Clifford, and Morawska (2015) Predictive model for whether or not midday new particle formation events will occur based on morning PM10 and visibility
Stevanovic et al. (2015) Semi-parametric regression used to model particle losses in aerosol measuring equipment


Citation Description
Czaplinski et al. (2016) Redesign of a first year unit with blended learning to improve student engagement and success


Bednarz, Tomasz, June Kim, Ross Brown, Allan James, Kevin Burrage, Sam Clifford, Jacqueline Davis, et al. 2016. “Virtual Reality for Conservation.” In Proceedings of the 21st International Conference on Web3d Technology, 177–78. ACM.

Clifford, Sam. 2008. “An Analysis of Shear-Augmented Dispersion with Analytical and Numerical Methods.” Honours Thesis, School of Mathematical Sciences, Queensland University of Technology.

———. 2013. “Spatio-Temporal Modelling of Ultrafine Particle Number Concentration.” Doctoral Thesis, School of Chemistry, Physics; Mechanical Engineering, Queensland University of Technology.

Clifford, Sam, and Sama Low Choy. 2012. “Case Studies in Bayesian Statistical Modelling and Analysis.” In, edited by Clair Alston and Kerrie Mengersen, 197–220. Wiley Series in Probability and Statistics. Wiley.

Clifford, Sam, Sama Low Choy, Tareq Hussein, Kerrie Mengersen, and Lidia Morawska. 2011. “Using the Generalised Additive Model to Model the Particle Number Count of Ultrafine Particles.” Atmospheric Environment 45 (32):5934–45.

Clifford, Sam, Sama Low Choy, Mandana Mazaheri, Farhad Salimi, Kerrie Mengersen, and Lidia Morawska. 2013. “A Bayesian Spatio-Temporal Model of Panel Design Data: Particle Number Concentration in Brisbane, Australia.” arXiv, no. 1206.3833 (February).

Clifford, Sam, Mandana Mazaheri, E. R. Jayaratne, M. A. Megat Mokhtar, F. Fuoco, G. Buonanno, and L. Morawska. 2014. “Estimation of Inhaled Ultrafine Particle Surface Area Dose in Urban Environments.” ANZIAM Journal 55:C437–C447.

Clifford, Sam, Mandana Mazaheri, Farhad Salimi, Wafaa Nabil Ezz, Bijan Yeganeh, Samantha Low Choy, Katy Walker, Kerrie Mengersen, Guy B. Marks, and Lidia Morawska. 2018. “Effects of Exposure to Ambient Ultrafine Particles on Respiratory Health and Systemic Inflammation in Children.” Environment International 114:167–80.

Clifford, Sam, Bjarke Mølgaard, Jukka Corander, Kaarle Hämeri, Sama Low Choy, Kerrie Mengersen, and Tareq Hussein. 2012. “Bayesian Semi-Parametric Forecasting of Particle Number Concentration: Penalised Splines and Autoregressive Errors.” arXiv, no. 1207.0558 (September).

Colin, B., S. Clifford, P. Wu, S. Rathmanner, and K Mengersen. 2017. “Using Boosted Regression Trees and Remotely Sensed Data to Drive Decision-Making.” Open Journal of Statistics 7:859–75.

Colin, Brigitte, Michael Schmidt, Samuel Clifford, Alan Woodley, and Kerrie Mengersen. 2018. “Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees.” Remote Sensing 10 (8). MDPI AG:1260.

Czaplinski, Iwona, Sam Clifford, Ruth Luscombe, and Brett Fyfield. 2016. “A Blended Learning Model for First Year Science Student Engagement with Mathematics and Statistics.”

Jayaratne, E. R., S. Clifford, and L. Morawska. 2015. “Atmospheric Visibility and PM**10 as Indicators of New Particle Formation in an Urban Environment.” Environmental Science & Technology 49 (21):12751–7.

Liew, Bernard, Christopher C. Drovandi, Sam Clifford, Justin Keogh, Susan Morris, and Kevin Netto. 2018. “Joint-Level Energetics Differentiate Isoinertial from Speed-Power Resistance Training - a Bayesian Analysis.” PeerJ 6 (e4620).

Mazaheri, Mandana, Sam Clifford, Rohan Jayaratne, Megat Azman Megat Mokhtar, Fernanda Fuoco, Giorgio Buonanno, and Lidia Morawska. 2014. “School Children’s Personal Exposure to Ultrafine Particles in the Urban Environment.” Environmental Science and Technology 48 (1):113–20.

Mazaheri, Mandana, Samuel Clifford, Bijan Yeganeh, Mar Viana, Valeria Rizza, Robin Flament, Giorgio Buonanno, and Lidia Morawska. 2018. “Investigations into Factors Affecting Personal Exposure to Particles in Urban Microenvironments Using Low-Cost Sensors.” Environment International 120:496–504.

Mengersen, Kerrie, Erin E. Peterson, Samuel Clifford, Nan Ye, June Kim, Tomasz Bednarz, Ross Brown, et al. 2017. “Modelling Imperfect Presence Data Obtained by Citizen Science.” Environmetrics 28 (5). Wiley.

Morawska, L., G.A. Ayoko, G.N. Bae, G. Buonanno, C.Y.H. Chao, S. Clifford, S.C. Fu, et al. 2017. “Airborne Particles in Indoor Environment of Homes, Schools, Offices and Aged Care Facilities: The Main Routes of Exposure.” Environment International 108 (Supplement C):75–83.

Peterson, E. E, E. Santos-Fernández, C. Chen, S. Clifford, J. Vercelloni, A. Pearse, R. Brown, et al. 2018. “Monitoring through many eyes: Integrating scientific and crowd-sourced datasets to improve monitoring of the Great Barrier Reef.” ArXiv E-Prints, August.

Rahman, M. M., Mandana Mazaheri, Sam Clifford, and Lidia Morawska. 2017. “Estimate of Main Local Sources to Ambient Ultrafine Particle Number Concentrations in an Urban Area.” Atmospheric Research 194. Elsevier:178–89.

Rahman, M. M., Bijan Yeganeh, Sam Clifford, Luke Knibbs, and Lidia Morawska. 2017. “Development of a Land Use Regression Model for Daily NO2 and NOx Concentrations in the Brisbane metropolitan area, Australia.” Environmental Modelling and Software 95:168–79.

Rivas, Ioar, Mandana Mazaheri, Mar Viana, Teresa Moreno, Samuel Clifford, Congrong He, Oliver F Bischof, et al. 2017. “Identification of Technical Problems Affecting Performance of Dusttrak Drx Aerosol Monitors.” Science of the Total Environment 584. Elsevier:849–55.

Salimi, Farhad, Md Rahman, Sam Clifford, Zoran Ristovski, Lidia Morawska, and others. 2017. “Nocturnal New Particle Formation Events in Urban Environments.” Atmospheric Chemistry and Physics 17 (1). Copernicus GmbH:521–30.

Salthammer, Tunga, Erik Uhde, Tobias Schripp, Alexandra Schieweck, Lidia Morawska, Mandana Mazaheri, Sam Clifford, et al. 2016. “Children’s Well-Being at Schools: Impact of Climatic Conditions and Air Pollution.” Environment International 94. Pergamon:196–210.

Stevanovic, S., B. Miljevic, P. Madl, S. Clifford, and Z. Ristovski. 2015. “Characterisation of a Commercially Available Thermodenuder and Diffusion Drier for Ultrafine Particles Losses.” Aerosol and Air Quality Research 15 (1):357–63.

Toms, L., M. Mazaheri, S. Brommer, S. Clifford, D. Drage, J. Mueller, P. Thai, S. Harrad, L. Morawska, and F. Harden. 2015. “Brominated Flame Retardants in Primary Schools: Sources and Exposures.” Environmental Research 142:135–40.

van Havre, Zoé, Nicole White, Judith Rousseau, Sam Clifford, and Kerrie Mengersen. 2017. “Clustering Action Potential Spikes: Insights on the Use of Overfitted Finite Mixture Models and Dirichlet Process Mixture Models.” Australia and New Zealand Journal of Statistics under review.

Vercelloni, Julie, Sam Clifford, M. Julian Caley, Alan R. Pearse, Ross Brown, Allan James, Bryce Christensen, et al. 2018. “Using Virtual Reality to Estimate Aesthetic Values of Coral Reefs.” Royal Society Open Science accepted.

Yeganeh, Bijan, Michael G Hewson, Samuel Clifford, Luke D Knibbs, and Lidia Morawska. 2017. “A Satellite-Based Model for Estimating PM**2.5 Concentration in a Sparsely Populated Environment Using Soft Computing Techniques.” Environmental Modelling & Software 88. Elsevier:84–92.

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