Eric Eisenstat received his Ph.D. in 2007 from the University of California, Irvine. His current research focuses on Bayesian time-series econometrics, particularly structural inference from multivariate models, but he also works on model uncertainty/averaging and shrinkage estimation in big data settings. Alongside publishing in top academic journals, Eric also routinely provides consulting services to policy institutions and private organisations. His recent consulting work has focused on developing and implementing marketing mix models in big data settings.
Affiliate of Centre for Efficiency and Productivity Analysis
Centre for Efficiency and Productivity Analysis
Faculty of Business, Economics and Law
Emeritus Professor
School of Economics
Faculty of Business, Economics and Law
Availability:
Available for supervision
Media expert
Fellow of the Academy of Social Science in Australia, Life member of Clare Hall College, Cambridge, Past President of the International J.A. Schumpeter Society. Current research interests include: the diffusion of innovations with special reference to the emergence of low carbon emission power generation technologies; modelling evolutionary economic growth with special reference to the role of energy; modelling the impact of climate change on the economy with a specific focus on the power generation sector; modelling the macro-economy as a complex adaptive system; applying self-organisation theory to statistical and economic modelling in the presence of structural change; the re-design of national power grids to accommodate renewable energy generation. He currently serves on the following editorial boards: Journal of Evolutionary Economics, Review of Political Economy, Journal of Bio-economics, Journal of Institutional Economics and, previously, the Scottish Journal of Political Economy and Economic Analysis and Policy. He is Director of the Energy Economics and Management Group at UQ and Focal Leader, Renewable Energy at the Global Change Institute. Previously, he was: Head of the School of Economics at UQ (1999-2008); Deputy Director of the ARC Centre for Complex Systems (2006-2008); Member of the Social, Behavioural and Economic Panel, ARC College of Experts (2005-2007); Member of the Expert Panel appointed by the Federal Minister for Industry and Innovation, Senator Kim Carr, to review the National Innovation System (2008).
Dr. Anthony Halog: Global Leader in AI-Enabled Circular Economy and Sustainable Systems
Dr. Anthony Halog is an internationally recognized expert in AI-driven circular economy, life cycle assessment (LCA), and sustainable systems engineering. His research integrates artificial intelligence, industrial ecology, and systems thinking to optimize green hydrogen production, bioeconomy transitions, and waste-to-energy systems.
As a Senior Academic at the University of Queensland, Dr. Halog leads research projects funded by ARC, EU Horizon, and industry partners. He has published over 130 high-impact journal articles, advancing knowledge in sustainability science and AI-enabled resource optimization. His work has influenced policy development and industry decarbonization strategies in Australia, Europe, and the Middle East.
Dr. Halog has been awarded prestigious international fellowships, including the OECD Research Fellowship (UK/Finland), DAAD Fellowship (Germany), Japan Society for the Promotion of Science (JSPS) Fellowship, and NSERC Fellowship (Canada). He has held visiting research positions in the UK, Germany, Japan, Saudi Arabia, and Morocco, expanding his global impact on circular economy modeling and AI applications in sustainability.
Beyond academia, he plays a key role in policy advisory and industry collaboration, partnering with the OECD, the United Nations, and the European Commission. As a keynote speaker and editorial board member, he continues to shape global discourse on sustainability transitions and AI-driven resource efficiency.
Affiliate of Centre for Behavioural and Economic Science
Centre for Unified Behavioural and Economic Science
Faculty of Business, Economics and Law
Affiliate of Centre for Perception and Cognitive Neuroscience
Centre for Perception and Cognitive Neuroscience
Faculty of Health, Medicine and Behavioural Sciences
Senior Lecturer
School of Economics
Faculty of Business, Economics and Law
Availability:
Available for supervision
Media expert
Dr. Kenan Kalaycı is an experimental economist whose research focus is on behavioural economics and industrial organization. Kenan received his PhD in Economics from Tilburg University and is a Senior Lecturer in Economics at the University of Queensland. Kenan has been an Australian Research Council Discovery Early Career Research Fellow between 2016-208 and a visiting scholar at the University of Oxford in 2017-2018. Kenan's main research has been in the growing field of behavioural industrial organization, which is the study of markets incorporating insights from psychology and other related disciplines. Kenan has been one of the pioneers in the empirical study of this field, developing experimental methodology to study issues of spurious product differentiation and price discrimination in markets. His research has been published in the International Journal of Industrial Organisation, Journal of Economic Behaviour and Organisation, and Experimental Economics.
Rand Low is Honorary Associate Professor at the University of Queensland and an Associate Professor of Quantitative Finance at Bond Business School.
Assoc. Professor Rand Low’s research areas are in asset and investments management, specifically correlation/dependence modelling, portfolio optimization, risk management, systematic trading strategies and commodities investing strategies. His work has been published in leading academic and industry journals such as Journal of Banking & Finance, Quantitative Finance, Journal of Empirical Finance, Journal of Investing, Journal of Commodities Markets, Resource Policy, and Journal of Risk. Rand is an avid supporter of Open Access Journals and multi-disciplinary research. He is an Editor of the Special Issue of Mathematics: Mathematical Models and Applications in Finance (Impact Factor: 2.6; Q1 Journal Ranking)
Prior to his PhD studies, Assoc Prof. Professor Low worked in control systems engineering and management roles for Honeywell for landmark engineering projects such as GOMA, SLQ, Brisbane Square, Mater Mothers' Hospital, St Andrews Hospital, and more where he achieved the Chartered Engineer designation from Engineers Australia. During his PhD studies, he won the GSITA Award and 3MT competitions. Upon completing his PhD, he received the Dean's Award for Research Higher Degree Excellence, a research fellowship on portfolio optimization & risk management techniques for financial crises and an Australia Awards - Endeavour fellow. He has been a visiting research fellow at the New York University - Stern School of Business, and an Australian Institute of Business and Economis (AIBE) Scholar He has also had Visiting Research Fellow appointments at the University of Strathclyde, Glasgow, UK and Sunway University, Kuala Lumpur, Malaysia.
Assoc. Prof Low research expertise has allowed him to successfully transition into industry as he has worked at the global headquarters of Bank of America Merrill Lynch and BlackRock in New York City. He led teams of quantitative researchers in building mathematical models for market/credit/operational risk, securities lending, structured products, asset-backed securities, and portfolio management. He has also defended quantitative model development practices on behalf of these institutions to US regulators such as the Federal Reserve (FED) and the Office of the Comptroller of Currency (OCC). He is worked on quantiative model stress-testing, model risk management practices, and model risk governance for major global financial institutions.
Assoc. Professor Low’s is interested in applying statistical and machine learning techniques in automating business processes and investments management in areas such as corporate credit ratings, robo-advisors, digital assets (i.e., cryptocurrencies, blockchain), commodities, and systematic active investment strategies.
Affiliate of Centre for Efficiency and Productivity Analysis
Centre for Efficiency and Productivity Analysis
Faculty of Business, Economics and Law
Professor in Econometrics
School of Economics
Faculty of Business, Economics and Law
Availability:
Available for supervision
Media expert
Chris O’Donnell obtained his PhD from the University of Sydney. He is an Associate Editor of the Journal of Productivity Analysis, an Associate Editor of Empirical Economics, and a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His current research is focused on economic and statistical methods for measuring and explaining productivity and efficiency change. He has authored or co-authored three books on this topic. His work has been published in leading economics and econometrics journals, including the American Journal of Agricultural Economics, the Journal of Econometrics, the Journal of Applied Econometrics, Econometric Reviews and the European Journal of Operational Research. He has provided in-house training and/or been a consultant for organisations including the World Bank, the Asian Productivity Organisation, the International Rice Research Institute, the Australian Energy Regulator, the New South Wales Independent Pricing and Regulatory Tribunal, and the Australian Independent Hospital Pricing Authority.
Faculty of Health, Medicine and Behavioural Sciences
Senior Research Fellow
Centre for the Business and Economics of Health
Faculty of Business, Economics and Law
Availability:
Available for supervision
Dr Anton Pak is a Senior Research Fellow in the Centre for the Business and Economics of Health, The University of Queensland. Anton is an applied economist by training and his research interests focus on the behaviour of patients and their choices, utilisation of emergency department services, waiting time modelling, and the economics of digital health. Anton examines empirical questions by utilising health economics theory and concepts and by analysing large panel and cross-sectional datasets (including linked data) using classical econometrics techniques, as well as machine learning methods.
Anton is currently co-leading an Emergency Medicine Foundation funded project “ED waiting time predictions in real-time: development of data acquisition system and performance evaluation of advanced statistical models.”, which is being undertaken in partnership with Princess Alexandra Hospital. Anton has worked extensively on interdisciplinary research with statisticians, mathematical modellers, clinicians, epidemiologists, and public health experts.
Prior to joining the Centre, Anton worked as a Research Fellow in Applied Economics and Data Scientist at James Cook University. His previous experience also includes working as a management consultant and university lecturer.
Anton has a PhD (Economics) from The University of Queensland.
Ravi Pappu is an Associate Professor of Marketing at the UQ Business School, University of Queensland, Australia. He teaches topics related to applying quantitative research methods in business to honours and PhD students and market and consumer research to postgraduate students.
Over the years, he has received the UQ Business School Teaching Excellence Award and the UQ Business School Research Excellence Award. Twice he was a Finalist for a UQ Teaching Excellence award.
Ravi received a PhD in marketing from the University of New England, Australia, and an MBA and a Postgraduate Diploma in Marketing, both awarded with Distinction from the University of Waikato, New Zealand. Earlier, he received a Bachelor’s degree in Mechanical engineering from JNTU, Anantapur in India, awarded with First Class and Distinction.
Ravi's research interests include the areas of advertising, branding, international marketing, new products and innovation. His research has been published in several internationally recognised journals, including the Journal of International Business Studies and the Journal of the Academy of the Marketing Science. His research has been funded through several competitive grants, including ARC.
Ravi serves on the editorial review boards of premier international journals, including the Journal of International Marketing, the Journal of Business Research and the European Journal of Marketing. He is a member of the American Marketing Association (AMA) and Society for Consumer Psychology (SCP), a Fellow of the Academy of the Marketing Science (AMS) and a Fellow CPM of the Australian Marketing Institute (AMI).
Further information about Ravi is available at the following links.
Ravi's current research focuses on modelling consumer decision-making concerning different types of brands (e.g. manufacturers, retailers, nonprofits and countries). He is also interested in understanding how marketing communications (e.g. advertising, celebrity endorsement, sponsorship) can shape consumer attitudes and brand perceptions.
Ravi's research on sponsorship, brand equity, brand innovativeness, country-of-origin effects, celebrity endorsement, country branding and retailer branding has been published in scholarly international journals, including. His research papers have been read or downloaded over 360,000 times.
|Journal of the Academy of Marketing Science | Journal of Business Research | International Business Review | Journal of International Business Studies | European Journal of Marketing | Journal of Retailing and Consumer Services | Journal of Marketing Education | Journal of Public Policy and Marketing | Journal of Product and Brand Management | Journal of Travel Research |
Research Grants
Ravi was the lead Chief Investigator of an Australian Research Council Linkage project (with Bettina Cornwell) supported by the Australian Red Cross Blood Service. Major outcomes of this research include a model for explaining communication portfolio effects on the image and equity of non-profit brands. Ravi's research has also attracted several internal competitive grants from the University of New England and the University of Queensland.
Awards & Distinctions
2018 - Inaugural JPBM Award for most impactful article, Emerald Literati Network (with P.G. Quester & R.W. Cooksey)
2016 - Outstanding Reviewer of the Year Award, Emerald Literati Network
2015 - UQ Business School Teaching Excellence Award
2009 - Outstanding Reviewer of the Year Award, Emerald Literati Network
2006 - UQ Business School Research Excellence Award
2000 - Best Marketing Research Paper Award, American Marketing Association (with A. Sinha & P. Leszeczyc)
1998 - Highly Commended Paper, Doctoral Colloquium, Australian and New Zealand Marketing Academy Conference
TEACHING
As of 2024, Ravi teaches courses in quantitative research methods and applied statistics.
RBUS6902 Quantitative Business Research Methods I
Distinctions (Teaching)
2015 - UQ Business School Teaching Excellence Award
2015 - Finalist - University of Queensland Teaching Excellence Award
2014 - Finalist - University of Queensland Teaching Excellence Award
Teaching Evaluations (Click on the following links to view student evaluations in pdf)
Honours/PhD
RBUS6903 Quantitative Business Research Methods II (SEM) |2020 | 2019 | 2015 | 2014 | 2013 |
RBUS6931 Scientific Method in Management II | 2018 |2015 | 2014 | 2013 | 2012 |
RBUS6931 Scientific Method in Management I | 2018 |2017|
Postgraduate
MKTG7510 Market and Consumer Research |2019 | 2018 |2017| | 2016 | 2015 |
PhD Supervision
Ravi is available for research supervision. His previous research students have achieved publications in internationally recognised journals (e.g., European Journal of Marketing, Journal of Business Research and Journal of Travel Research) and conferences (e.g., AMA, AMS, WMC). Following are some of the areas of his research interest.
| Maddy Nugent (2022) - Sponsorship authenticity | B.D.C. Tang (2021) - Sponsorship engagement | M.G. Guerra Calvo (2020) - Celebrity endorsement | S. Caulton (2019) - Brand crises | I. Goh (2018) - Sponsorship portfolios | I. C. Y. Lim (2016) - Brand innovativeness | S.C. Yu (2013) - Celebrity portfolios | A. Spry (2007) - Celebrity endorsement | M. Chong (2006) - Consumer innovativeness | P. Stower (2006) - Multiple celebrity endorsement |
SERVICE
Associate Editor
International Journal of Consumer Studies (2020 - 2024)
Co-Guest-Editor
Journal of Strategic Marketing - Special issue on Research in Strategic Marketing
Journal of Product & Brand Management - Special issue on Brand Equity
Editorial Board Membership
| Journal of International Marketing | Journal of Business Research | European Journal of Marketing | International Marketing Review | Asia Pacific Journal of Marketing and Logistics | Australasian Marketing Journal |
Assessor
Australian Research Council
Invited Seminars
| Australian National University | IIM-Calcutta | IIM-Ahmedabad | Indian Institute of Science | IIM - Bangalore | University of Melbourne | University of New South Wales | University of Adelaide | University of New England |
Visiting Positions
| Indian Institute of Management - Bangalore 2016 | University of Oregon 2013 | University of Adelaide 2009 | University of Michigan 2009 | Indian School of Business 2003 |
Affiliate of Centre for Efficiency and Productivity Analysis
Centre for Efficiency and Productivity Analysis
Faculty of Business, Economics and Law
Director of Research
School of Economics
Faculty of Business, Economics and Law
Availability:
Available for supervision
Media expert
Research interests include: applied econometrics, time series econometrics, state-space models and spatial time series models. Has published in journals that include the Journal of Econometrics, Oxford Bulletin of Economics and Statistics, Journal of Applied Econometrics.
Current research projects are in: spatial time series models with applications to modelling housing and land prices, transport demand, international comparisons and sectoral productivity
Rodney Strachan received his PhD from Monash University in 2000. His research focuses on Bayesian analysis, econometric theory, time series analysis, inference in time varying parameter and time varying dimension models, identification in reduced rank models and invariance. His current work is looking at specification and computation of large dimensional macroeconometric time series models. Rodney came to UQ from the Australian National University where he was a professor and the deputy head of the Research School of Economics.