Zammit Mangion, Andrew

Overview

Professional Activities:

Member of the:
Statistical Society of Australia
The International Environmetrics Society
American Statistical Association
International Statistical Institute

Awards and Recognition:

12.2020: Awarded status of Elected Member with the International Statistical Institute (ISI).

05.2020: Taylor & Francis Outstanding Reference/Monograph in the Science and Medical category published in 2019 for the book Spatio-temporal Statistics with R.

05.2020: Abdel El-Shaarawi Early Investigator Award from The International Environmetrics Institute for his interdisciplinary work in Environmental Statistics and in the development of important computational instruments for space-time data analysis

04.2013: National Academy of Sciences (NAS) of the USA Cozzarelli Prize for paper of outstanding excellence and originality, WDC, USA.

11.2012: Institute of Engineering and Technology (IET) Control and Automation Best Doctoral Dissertation Prize, London, UK.

10.2008: Best Student Paper at the UK Automatic Control Council (UKACC) Conference, Manchester, UK.

04.2008: Full University Scholarship for pursuing a PhD at the University of Sheffield, UK.

07.2007: RS Prize for Best Academic Achievement at the Faculty of Engineering, University of Malta.

Top Publications

Year	Title
2019	Spatio-Temporal Statistics with R
2016	Multivariate spatial covariance models: a conditional approach Published in Biometrika
2016	Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion Published in Spatial Statistics
2016	Sparse approximate inference for spatio-temporal point process models Published in Journal of the American Statistical Association
2015	Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise Published in Environmetrics
2012	Point process modelling of the Afghan War Diary Published in Proceedings of the National Academy of Sciences of USA
2020	Deep integro-difference equation models for spatio-temporal forecasting Published in Spatial Statistics
2021	Frk: An r package for spatial and spatio-temporal prediction with large datasets Published in Journal of Statistical Software
2021	Deep Compositional Spatial Models Published in Journal of the American Statistical Association
2020	Multi-scale process modelling and distributed computation for spatial data Published in Statistics and Computing
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published in Geoscientific Model Development

Research Areas

0104 - STATISTICS

Research Overview

My research interests lie in spatial and spatio-temporal modelling and the tools that enable it. In previous work, I have focused on variational Bayesian methods for approximate inference of spatio-temporal log-Gaussian Cox process models. These methods were successfully applied in conflict modelling and, in more recent research, I am working on approximate message passing algorithms in this context. In other related previous work, I have used well-established approximations to spatio-temporal multivariate processes to assess the Antarctic contribution to sea-level rise. For project details please see here. The project involved fusing multiple data products (from diverse satellites and research groups) through the use of a large-scale spatio-temporal model. Work here involved the use of the message-passing interface on a high-performance computer, parallel Gibbs sampling methods, sparse-matrix methodologies and has resulted in over five publications to date (for the latest publication see here).

My recent work at NIASRA has focused on multivariate spatial modelling and atmospheric trace-gas inversion. I have taken particular interest in this area since it forces me to move beyong the usual 'Gaussian' spatial models, it is inter-disciplinary, and requires an eye for careful computation. In a similar vein to my previous work on Antarctica, the work has extremely important implications, allowing one to quantify where the biggest flux sources and sinks are simply from observations of gas concentrations. Lately, I have also taken on reproducibility and software contribution to the open-source community more actively and have written a number of reproducible packages intended solely to reproduce the results in recent papers (see here and here) as well some intended for use by the general scientific community (see here and here). The latter one, focused on Fixed-Rank Kriging, is still under intense development.

Geographic Focus

Wollongong Geographic Region

Available as Research Supervisor

Member Of

International Statistical Institute Elected Member 2020 -
Statistical Society of Australia Member 2016 -
The American Statistical Association Member 2016 -
The International Environmetrics Society (TIES) Member 2016 -
IEEE - The Institute of Electrical and Electronics Engineers Member 2004 - 2018

Selected Publications

Journal Article

Year	Title
2022	Basis-Function Models in Spatial Statistics Published In Annual Review of Statistics and Its Application
2022	Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion Published In Cryosphere
2022	Spherical Poisson point process intensity function modeling and estimation with measure transport Published In Spatial Statistics
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published In Geoscientific Model Development
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published In Geoscientific Model Development
2021	Deep Compositional Spatial Models Published In Journal of the American Statistical Association
2021	Discussion on ¿Competition on Spatial Statistics for Large Datasets¿ Published In Journal of Agricultural, Biological, and Environmental Statistics
2021	False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data Published In Journal of Computational and Graphical Statistics
2021	Frk: An r package for spatial and spatio-temporal prediction with large datasets Published In Journal of Statistical Software
2020	A Case Study Competition Among Methods for Analyzing Large Spatial Data Published In Journal of Agricultural, Biological, and Environmental Statistics
2020	Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment Published In Atmospheric Measurement Techniques
2020	Marginal maximum likelihood estimation of conditional autoregressive models with missing data Published In Stat
2020	Adaptive spatial sampling design for environmental field prediction using low-cost sensing technologies Published In Atmospheric Environment
2020	Deep integro-difference equation models for spatio-temporal forecasting Published In Spatial Statistics
2020	Discussion on A high-resolution bilevel skew-t stochastic generator for assessing Saudi Arabia's wind energy resources Published In Environmetrics
2020	Multi-scale process modelling and distributed computation for spatial data Published In Statistics and Computing
2019	A Case Study Competition Among Methods for Analyzing Large Spatial Data Published In Journal of Agricultural, Biological, and Environmental Statistics
2019	Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment Published In Atmospheric Measurement Techniques
2019	Marginal maximum likelihood estimation of conditional autoregressive models with missing data Published In Stat
2018	A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields Published In Computational Statistics and Data Analysis
2018	On statistical approaches to generate Level 3 products from satellite remote sensing retrievals Published In Remote Sensing
2017	Computational aspects of the EM algorithm for spatial econometric models with missing data Published In Journal of Statistical Computation and Simulation
2017	Constraining the mass balance of East Antarctica Published In Geophysical Research Letters
2017	FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets
2016	An assessment of forward and inverse GIA solutions for Antarctica Published In Journal Of Geophysical Research-solid Earth
2016	Multivariate spatial covariance models: a conditional approach Published In Biometrika
2016	Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion Published In Spatial Statistics
2016	Sparse approximate inference for spatio-temporal point process models Published In Journal of the American Statistical Association
2016	Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data Published In Journal of Geophysical Research: Earth Surface
2016	Visualisation for large-scale Gaussian updates Published In Scandinavian Journal of Statistics: theory and applications
2015	A data-driven approach for assessing ice-sheet mass balance in space and time Published In Annals of Glaciology
2015	Capturing multivariate spatial dependence: Model, estimate and then predict Published In Statistical Science
2015	Capturing multivariate spatial dependence: model, estimate and then predict Published In Statistical Science: a review journal
2015	Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise Published In Environmetrics
2015	Simultaneous solution for mass trends on the West Antarctic Ice Sheet Published In The Cryosphere
2015	Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion Published In Chemometrics and Intelligent Laboratory Systems
2014	Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods Published In Atmospheric Chemistry and Physics
2013	An anatomically unbiased approach for analysis of renal BOLD magnetic resonance images Published In American Journal of Physiology: Renal Physiology
2013	Anatomically unbiased analysis of renal BOLD magnetic resonance images reveals disruption of corticomedullary gradient during chronic angiotensin II infusion Published In The FASEB Journal
2013	Conflict data sets and point patterns Published In SpringerBriefs in Applied Sciences and Technology
2013	Modeling and prediction in conflict: Afghanistan Published In SpringerBriefs in Applied Sciences and Technology
2013	Resolving the Antartic contribution to sea-level rise: a hierarchial modelling framework Published In Environmetrics
2013	Theory Published In SpringerBriefs in Applied Sciences and Technology
2012	Point process modelling of the Afghan War Diary Published In Proceedings of the National Academy of Sciences of USA
2012	Variational estimation in spatiotemporal systems from continuous and point-process observations Published In IEEE Transactions on Signal Processing
2011	Online variational inference for state-space models with point-process observations Published In Neural Computation

Book

Year	Title
2020	Spatio-Temporal Statistics with R Publisher Boca Raton
2019	Spatio-Temporal Statistics with R Publisher Boca Raton
2013	Foreword
2013	Modeling Conflict Dynamics using Spatio-temporal Data Publisher United Kingdom
2013	Modeling conflict dynamics with spatio-temporal data Publisher Springer International Publishing

Chapter

Year	Title
2017	Environmental Informatics Published In Wiley StatsRef: Statistics Reference Online Publisher Hoboken, NJ

Conference Paper

Year	Title
2011	A variational approach for the online dual estimation of spatiotemporal systems governed by the IDE Published In 18th IFAC World Congress
2011	Exploration and control of stochastic spatiotemporal systems with mobile agents Published In 18th IFAC World Congress
2010	Heterogeneous hardware technologies for accelerating complex aerospace system simulations Published In IEEE Areospace Conference
2008	Experimental evaluation of haptic control for human activated command devices Published In UKACC Control 2008 Conference
2008	Usability of local traffic density as basis for advanced driver assistance systems Published In FISITA World Automotive Congress 2008, Congress Proceedings - Vehicle Safety

Investigator On

Year	Title
2020 - 2027	Securing Antarctica's Environmental Future Awarded by: Australian Research Council (ARC) Funding Scheme: Special Research Initiatives
2021 - 2024	ARC Research Hub for Transforming Energy Infrastructure Through Digital Engineering Awarded by: Australian Research Council (ARC) Funding Scheme: Industrial Transformation Research Hubs
2021 - 2022	Spatio-Temporal Statistical Methods for Producing OCO-2/OCO-3 Level 3 and Level 4 Estimates Awarded by: NASA Funding Scheme: Research Opportunities in Space and Earth Sciences (ROSES)
2020 - 2022	Bayesian inversion and computation applied to atmospheric flux fields Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2018 - 2021	Deep space-time models for modelling complex environmental phenomena Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Early Career Researcher Award (DECRA)
2017 - 2020	Spatial Statistical Analysis of OCO-2 Data Awarded by: NASA Funding Scheme: Grant

Available as Research Supervisor

Advisees

Graduate Advising Relationship

Degree	Research Title	Advisee
Doctor of Philosophy	Protecting Micro-Data Privacy: The Moment-Based Density Estimation Method and its Application	Wakefield, Bradley
Doctor of Philosophy	Emulation For Spatio-Temporal Sensitivities With Application To Atmospheric Transport Models	Cartwright, Laura
Doctor of Philosophy	Deep Statistical Models with Applications to Environmental Data	Vu, Quan
Doctor of Philosophy (Integrated)	Spatial statistical inference from a decision-theoretic viewpoint with application to non-Gaussian environmental data	Pearse, Alan
Doctor of Philosophy	Long-and-Short-Term-Memory and Focused Bayesian Inference for Spatio-Temporal Models	Sainsbury-Dale, Matthew
Doctor of Philosophy	Statistical Methods to Predict Atmospheric Carbon Dioxide Fluxes	Jacobson, Josh
Doctor of Philosophy	Statistical Calibration of Ice Sheet Models	Vu, Bao Anh

Education And Training

Ph.D., University of Sheffield, Department of Automatic Control and Systems Engineering, Modelling from spatiotemporal data: a dynamic systems approach 2008 - 2012
B.E. in Electrical Engineering, University of Malta, Department of Engineering 2004 - 2008

Awards And Honors

Abdel El-Shaarawi Early Investigator Award, conferred by The International Environmetrics Society (TIES), 2020
Elected Member, conferred by International Statistical Institute, 2020
Cozzarelli Prize, conferred by National Academy of Science of the USA, 2013
Control and Automation Doctoral Dissertation Prize, conferred by Institute of Engineering and Technology, 2012

Teaching Overview

Lecturer in
Introduction to Mathematics (MATH100: 2021)
Statistical Inference and Introduction to Model Building (STAT202: 2021)
Quantitative Methods in Psychology (PSYC250: 2021)
Generalised Linear Models (STAT332, 2015, 2018)
Applied Probability and Financial Risk (STAT304, 2017, 2020, 2021)
Estimation and Hypothesis Testing (STAT232, 2017)
Data Mining and Knowledge Discovery (INFO411, 2018)

Full Name

Andrew Zammit-Mangion

Mailing Address

39C Northfields Avenue

University of Wollongong

Wollongong

NSW

2522

Australia

Top Publications

Year	Title
2019	Spatio-Temporal Statistics with R
2016	Multivariate spatial covariance models: a conditional approach Published in Biometrika
2016	Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion Published in Spatial Statistics
2016	Sparse approximate inference for spatio-temporal point process models Published in Journal of the American Statistical Association
2015	Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise Published in Environmetrics
2012	Point process modelling of the Afghan War Diary Published in Proceedings of the National Academy of Sciences of USA
2020	Deep integro-difference equation models for spatio-temporal forecasting Published in Spatial Statistics
2021	Frk: An r package for spatial and spatio-temporal prediction with large datasets Published in Journal of Statistical Software
2021	Deep Compositional Spatial Models Published in Journal of the American Statistical Association
2020	Multi-scale process modelling and distributed computation for spatial data Published in Statistics and Computing
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published in Geoscientific Model Development

Research Areas

0104 - STATISTICS

Research Overview

My research interests lie in spatial and spatio-temporal modelling and the tools that enable it. In previous work, I have focused on variational Bayesian methods for approximate inference of spatio-temporal log-Gaussian Cox process models. These methods were successfully applied in conflict modelling and, in more recent research, I am working on approximate message passing algorithms in this context. In other related previous work, I have used well-established approximations to spatio-temporal multivariate processes to assess the Antarctic contribution to sea-level rise. For project details please see here. The project involved fusing multiple data products (from diverse satellites and research groups) through the use of a large-scale spatio-temporal model. Work here involved the use of the message-passing interface on a high-performance computer, parallel Gibbs sampling methods, sparse-matrix methodologies and has resulted in over five publications to date (for the latest publication see here).

My recent work at NIASRA has focused on multivariate spatial modelling and atmospheric trace-gas inversion. I have taken particular interest in this area since it forces me to move beyong the usual 'Gaussian' spatial models, it is inter-disciplinary, and requires an eye for careful computation. In a similar vein to my previous work on Antarctica, the work has extremely important implications, allowing one to quantify where the biggest flux sources and sinks are simply from observations of gas concentrations. Lately, I have also taken on reproducibility and software contribution to the open-source community more actively and have written a number of reproducible packages intended solely to reproduce the results in recent papers (see here and here) as well some intended for use by the general scientific community (see here and here). The latter one, focused on Fixed-Rank Kriging, is still under intense development.

Geographic Focus

Wollongong Geographic Region

Member Of

International Statistical Institute Elected Member 2020 -
Statistical Society of Australia Member 2016 -
The American Statistical Association Member 2016 -
The International Environmetrics Society (TIES) Member 2016 -
IEEE - The Institute of Electrical and Electronics Engineers Member 2004 - 2018

Selected Publications

Journal Article

Year	Title
2022	Basis-Function Models in Spatial Statistics Published In Annual Review of Statistics and Its Application
2022	Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion Published In Cryosphere
2022	Spherical Poisson point process intensity function modeling and estimation with measure transport Published In Spatial Statistics
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published In Geoscientific Model Development
2022	WOMBAT v1.0: A fully Bayesian global flux-inversion framework Published In Geoscientific Model Development
2021	Deep Compositional Spatial Models Published In Journal of the American Statistical Association
2021	Discussion on ¿Competition on Spatial Statistics for Large Datasets¿ Published In Journal of Agricultural, Biological, and Environmental Statistics
2021	False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data Published In Journal of Computational and Graphical Statistics
2021	Frk: An r package for spatial and spatio-temporal prediction with large datasets Published In Journal of Statistical Software
2020	A Case Study Competition Among Methods for Analyzing Large Spatial Data Published In Journal of Agricultural, Biological, and Environmental Statistics
2020	Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment Published In Atmospheric Measurement Techniques
2020	Marginal maximum likelihood estimation of conditional autoregressive models with missing data Published In Stat
2020	Adaptive spatial sampling design for environmental field prediction using low-cost sensing technologies Published In Atmospheric Environment
2020	Deep integro-difference equation models for spatio-temporal forecasting Published In Spatial Statistics
2020	Discussion on A high-resolution bilevel skew-t stochastic generator for assessing Saudi Arabia's wind energy resources Published In Environmetrics
2020	Multi-scale process modelling and distributed computation for spatial data Published In Statistics and Computing
2019	A Case Study Competition Among Methods for Analyzing Large Spatial Data Published In Journal of Agricultural, Biological, and Environmental Statistics
2019	Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment Published In Atmospheric Measurement Techniques
2019	Marginal maximum likelihood estimation of conditional autoregressive models with missing data Published In Stat
2018	A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields Published In Computational Statistics and Data Analysis
2018	On statistical approaches to generate Level 3 products from satellite remote sensing retrievals Published In Remote Sensing
2017	Computational aspects of the EM algorithm for spatial econometric models with missing data Published In Journal of Statistical Computation and Simulation
2017	Constraining the mass balance of East Antarctica Published In Geophysical Research Letters
2017	FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets
2016	An assessment of forward and inverse GIA solutions for Antarctica Published In Journal Of Geophysical Research-solid Earth
2016	Multivariate spatial covariance models: a conditional approach Published In Biometrika
2016	Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion Published In Spatial Statistics
2016	Sparse approximate inference for spatio-temporal point process models Published In Journal of the American Statistical Association
2016	Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data Published In Journal of Geophysical Research: Earth Surface
2016	Visualisation for large-scale Gaussian updates Published In Scandinavian Journal of Statistics: theory and applications
2015	A data-driven approach for assessing ice-sheet mass balance in space and time Published In Annals of Glaciology
2015	Capturing multivariate spatial dependence: Model, estimate and then predict Published In Statistical Science
2015	Capturing multivariate spatial dependence: model, estimate and then predict Published In Statistical Science: a review journal
2015	Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise Published In Environmetrics
2015	Simultaneous solution for mass trends on the West Antarctic Ice Sheet Published In The Cryosphere
2015	Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion Published In Chemometrics and Intelligent Laboratory Systems
2014	Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods Published In Atmospheric Chemistry and Physics
2013	An anatomically unbiased approach for analysis of renal BOLD magnetic resonance images Published In American Journal of Physiology: Renal Physiology
2013	Anatomically unbiased analysis of renal BOLD magnetic resonance images reveals disruption of corticomedullary gradient during chronic angiotensin II infusion Published In The FASEB Journal
2013	Conflict data sets and point patterns Published In SpringerBriefs in Applied Sciences and Technology
2013	Modeling and prediction in conflict: Afghanistan Published In SpringerBriefs in Applied Sciences and Technology
2013	Resolving the Antartic contribution to sea-level rise: a hierarchial modelling framework Published In Environmetrics
2013	Theory Published In SpringerBriefs in Applied Sciences and Technology
2012	Point process modelling of the Afghan War Diary Published In Proceedings of the National Academy of Sciences of USA
2012	Variational estimation in spatiotemporal systems from continuous and point-process observations Published In IEEE Transactions on Signal Processing
2011	Online variational inference for state-space models with point-process observations Published In Neural Computation

Book

Year	Title
2020	Spatio-Temporal Statistics with R Publisher Boca Raton
2019	Spatio-Temporal Statistics with R Publisher Boca Raton
2013	Foreword
2013	Modeling Conflict Dynamics using Spatio-temporal Data Publisher United Kingdom
2013	Modeling conflict dynamics with spatio-temporal data Publisher Springer International Publishing

Chapter

Year	Title
2017	Environmental Informatics Published In Wiley StatsRef: Statistics Reference Online Publisher Hoboken, NJ

Conference Paper

Year	Title
2011	A variational approach for the online dual estimation of spatiotemporal systems governed by the IDE Published In 18th IFAC World Congress
2011	Exploration and control of stochastic spatiotemporal systems with mobile agents Published In 18th IFAC World Congress
2010	Heterogeneous hardware technologies for accelerating complex aerospace system simulations Published In IEEE Areospace Conference
2008	Experimental evaluation of haptic control for human activated command devices Published In UKACC Control 2008 Conference
2008	Usability of local traffic density as basis for advanced driver assistance systems Published In FISITA World Automotive Congress 2008, Congress Proceedings - Vehicle Safety

Investigator On

Year	Title
2020 - 2027	Securing Antarctica's Environmental Future Awarded by: Australian Research Council (ARC) Funding Scheme: Special Research Initiatives
2021 - 2024	ARC Research Hub for Transforming Energy Infrastructure Through Digital Engineering Awarded by: Australian Research Council (ARC) Funding Scheme: Industrial Transformation Research Hubs
2021 - 2022	Spatio-Temporal Statistical Methods for Producing OCO-2/OCO-3 Level 3 and Level 4 Estimates Awarded by: NASA Funding Scheme: Research Opportunities in Space and Earth Sciences (ROSES)
2020 - 2022	Bayesian inversion and computation applied to atmospheric flux fields Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Projects
2018 - 2021	Deep space-time models for modelling complex environmental phenomena Awarded by: Australian Research Council (ARC) Funding Scheme: Discovery Early Career Researcher Award (DECRA)
2017 - 2020	Spatial Statistical Analysis of OCO-2 Data Awarded by: NASA Funding Scheme: Grant

Advisees

Graduate Advising Relationship

Degree	Research Title	Advisee
Doctor of Philosophy	Protecting Micro-Data Privacy: The Moment-Based Density Estimation Method and its Application	Wakefield, Bradley
Doctor of Philosophy	Emulation For Spatio-Temporal Sensitivities With Application To Atmospheric Transport Models	Cartwright, Laura
Doctor of Philosophy	Deep Statistical Models with Applications to Environmental Data	Vu, Quan
Doctor of Philosophy (Integrated)	Spatial statistical inference from a decision-theoretic viewpoint with application to non-Gaussian environmental data	Pearse, Alan
Doctor of Philosophy	Long-and-Short-Term-Memory and Focused Bayesian Inference for Spatio-Temporal Models	Sainsbury-Dale, Matthew
Doctor of Philosophy	Statistical Methods to Predict Atmospheric Carbon Dioxide Fluxes	Jacobson, Josh
Doctor of Philosophy	Statistical Calibration of Ice Sheet Models	Vu, Bao Anh

Education And Training

Ph.D., University of Sheffield, Department of Automatic Control and Systems Engineering, Modelling from spatiotemporal data: a dynamic systems approach 2008 - 2012
B.E. in Electrical Engineering, University of Malta, Department of Engineering 2004 - 2008

Awards And Honors

Abdel El-Shaarawi Early Investigator Award, conferred by The International Environmetrics Society (TIES), 2020
Elected Member, conferred by International Statistical Institute, 2020
Cozzarelli Prize, conferred by National Academy of Science of the USA, 2013
Control and Automation Doctoral Dissertation Prize, conferred by Institute of Engineering and Technology, 2012

Teaching Overview

Lecturer in
Introduction to Mathematics (MATH100: 2021)
Statistical Inference and Introduction to Model Building (STAT202: 2021)
Quantitative Methods in Psychology (PSYC250: 2021)
Generalised Linear Models (STAT332, 2015, 2018)
Applied Probability and Financial Risk (STAT304, 2017, 2020, 2021)
Estimation and Hypothesis Testing (STAT232, 2017)
Data Mining and Knowledge Discovery (INFO411, 2018)

Full Name

Andrew Zammit-Mangion

Mailing Address

39C Northfields Avenue

University of Wollongong

Wollongong

NSW

2522

Australia

Geographic Location

University of Wollongong

Orcid Id

http://orcid.org/0000-0002-4164-6866 (confirmed)

Web Of Science Researcher Id

I-5356-2016

Scopus Id

41763223100

Overview

Overview

Top Publications

Research Areas

Research Overview

Geographic Focus

Available as Research Supervisor

Affiliation

Member Of

Publications

Selected Publications

Journal Article

Book

Chapter

Conference Paper

Funding

Investigator On

Supervision

Available as Research Supervisor

Advisees

Graduate Advising Relationship

Background

Education And Training

Awards And Honors

Teaching Overview

Contact

Full Name

Mailing Address

Geographic Location

Identity

Orcid Id

Web Of Science Researcher Id

Scopus Id

Overview

Top Publications

Research Areas

Research Overview

Geographic Focus

Affiliation

Member Of

Publications

Selected Publications

Journal Article

Book

Chapter

Conference Paper

Funding

Investigator On

Supervision

Advisees

Graduate Advising Relationship

Background

Education And Training

Awards And Honors

Teaching Overview

Contact

Full Name

Mailing Address

Geographic Location

Identity

Orcid Id

Web Of Science Researcher Id

Scopus Id

Visualisations

Research Areas

Geographic Focus