Data Science and Statistics

The Data Science and Statistics discipline in the College of Engineering, Science and Environment is one of the most respected research disciplines in Australia. In 2018, it achieved an ERA 5 rating, placing it “well above-world standard” in the Excellence in Research for Australia (ERA) rankings.

Our expertise covers a wide range of areas that span theoretical projects to practical applications and industry collaboration. Research activities focus on the areas of deep learning, machine intelligence, evolutionary computation, big data, data mining, Bayesian statistics, correspondence analysis, distribution theory, ecological inference, reinforcement learning, machine learning, computational statistics, mathematical statistics, survival analysis, stochastic learning, multivariate statistics, biostatistics, optimisation, statistical learning, and systems and process improvement.

Professor Eric Beh

Professor
School of Information and Physical Sciences

Categorical data analysis, correspondence analysis, ecological inference, measures of association

Professor Peter Howley

Professor
School of Information and Physical Sciences

Bayesian hierarchical models, STEM education, systems and process improvement, healthcare systems

Professor Ricardo Gabrielli Barreto Campello

Professor
School of Information and Physical Sciences

Data science, data mining, statistical learning, machine learning, multivariate analysis, big data

Associate Professor Raymond Chiong

Associate Professor
School of Information and Physical Sciences

Evolutionary optimisation, game theory, agent-based modelling, data analytics, machine learning, technology enhanced learning

Associate Professor Stephan Chalup

Associate Professor
School of Information and Physical Sciences

Artificial intelligence, autonomous robots, big data analytics, brain science, cybernetics, machine learning

Associate Professor Suhuai Luo

Associate Professor
School of Information and Physical Sciences

Computer vision, cyber security, data mining, image processing, machine learning, multimedia

Dr Ali Eshragh

Senior Lecturer of Data Science
School of Information and Physical Sciences

Decision making under uncertainty, Stochastic modelling and optimisation, forecasting with time series models, big data analytics in supply chain management

Dr Elizabeth Stojanovski

Senior Lecturer - Statistics
School of Information and Physical Sciences

Head of Discipline

Multivariate statistics, methods of meta-analyses, STEM education, biostatistics

Dr Frank Tuyl

Honorary Lecturer
School of Information and Physical Sciences

Bayesian statistics, applied statistics, biostatistics, statistical theory

Dr Geoffrey Skinner

Senior Lecturer
School of Information and Physical Sciences

Solar physics, computational astrophysics, convolutional neural networks, helioseismology, machine learning

Dr Glen Livingston

Lecturer
School of Information and Physical Sciences

MCMC algorithms, Bayesian statistics, non-linear multivariate time series, big time series

Dr Hamish Waterer

Senior Lecturer in Data Science
School of Information and Physical Sciences

Operations research, mathematical optimisation, mixed-integer programming, prescriptive analytics

Dr Ian Renner

Senior Lecturer
School of Information and Physical Sciences

Ecological statistics, species distribution models, model selection

Dr Robert King

Senior Lecturer
School of Information and Physical Sciences

Computational statistics, distribution theory, socio-spatial statistics, statistical ecology

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.