Find Academic Supervisors

• Financial Analysis
• Equity Valuation
• Life Insurance
• +3 more

Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.

Chris SpeedView profile

Professor

• Design Informatics
• Regenerative Design
• Sustainable Design
• +7 more

Chris Speed is a Professor of Design for Regenerative Futures at RMIT University, Australia, and Director of Regenerative Futures. Previously, he held academic roles at the University of Edinburgh, including leading the Institute for Design Informatics and co-designing the Edinburgh Futures Institute. His research focuses on design-driven solutions for social, environmental, and economic challenges, leveraging data and emerging technologies. Key areas include blockchain applications, sustainable design, and regenerative systems. Affiliations: RMIT University (Current), University of Edinburgh (2012–2024) Grants: £7.4m Creative Informatics (UK), £5m DECaDE (Digital Economy) Publications: Over 50 peer-reviewed articles on design informatics, regenerative futures, and blockchain ethics. Research interests span Design Informatics, Human-Computer Interaction, and Sustainable Design. He has supervised 23 PhD/MPhil students and pioneered projects like OxChain (blockchain for charitable giving) and Creative Informatics (data-driven creative industries). Awards: Fellow of the Royal Society of Edinburgh (2020), Chancellor’s Award for Research (University of Edinburgh, 2020). Collaborations include BBC, Oxfam, and the Digital Catapult. His work emphasizes co-creation with communities to address systemic challenges, such as climate action and cultural value measurement.

• Decision Intelligence
• Strategic Management
• International Management
• +5 more

Dr. Roger Moser is a Senior Lecturer at Macquarie University's Department of Management Innovation, Strategy and Entrepreneurship Research Centre. He also holds adjunct roles at the Indian Institute of Management Udaipur (since 2012) and the University of St. Gallen (since 2012). His research focuses on Decision Intelligence, Strategic Management, and International Management, particularly exploring how executives leverage data (small/big) to enhance decision-making frameworks. He has over 99 publications since 2005, with notable works in journals like Journal of Service Research and Journal of Business Research . Dr. Moser holds a Dr. rer. pol. from EBS European Business School (2006) and a lic. oec. HSG (MSc) from the University of St. Gallen (2003). His research interests include Decision Model Innovation, Social Capital in emerging markets, and strategic alignment in supply chains. He has conducted impactful studies on access-based services in India, supplier integration in China's automotive sector, and humanitarian logistics using satellite data. His recent work emphasizes technology integration in B2B value creation, decision frameworks for uncertainty reduction (e.g., in agriculture and disaster management), and AI-driven expert systems. He has presented at global forums on topics like digital transformation and decision intelligence applications, contributing to both academic and practitioner discourse. External Roles: Adjunct Professor of Business Policy, Indian Institute of Management Udaipur Titularprofessor / Permanent Lecturer, University of St. Gallen Notable impacts include a project providing clean drinking water in India through access-based solutions, recognized for quality-of-life and societal contributions. His research has been cited over 1,666 times with an h-index of 21.

Zhi ChenView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +3 more

Dr. Zhi Chen is a Lecturer in Computing at the School of Mathematics, Physics and Computing, University of Southern Queensland, specializing in Artificial Intelligence and Machine Learning with applications spanning digital agriculture and healthcare systems. Education: Master of Information Technology (MIT), University of Queensland, 2018 PhD, University of Queensland, 2023 Research Focus: His work centers on zero-shot learning, domain adaptation, and multimodal systems, addressing core challenges in computer vision and deep learning. Current projects integrate AI with agricultural risk modeling and medical diagnostics, emphasizing real-world deployment of robust algorithms under data-scarce conditions. Publication Trends: Recent output (2022-2025) shows concentrated expertise in source-free domain adaptation and generalized zero-shot learning, with significant contributions to plant disease recognition (via mobile multimodal systems) and diabetes subgroup analysis. His work consistently appears in premier venues including AAAI, CVPR, and ACM MM, demonstrating methodological innovation applied to critical domains like climate-resilient agriculture and precision medicine. Supervision: Currently serves as Associate Supervisor for a doctoral candidate developing parametric insurance models for oyster farms to mitigate climate-related risks from king tides and extreme weather events. Awards: No scientific awards were documented in the provided materials.

Jonathan ZiveyiView profile

Associate Professor

• Quantitative Finance
• Actuarial Science
• Longevity Risk Management
• +4 more

Associate Professor Jonathan Ziveyi is an academic at the UNSW Business School , where he serves as an Associate Head in the School of Risk and Actuarial Studies . He holds a PhD in Quantitative Finance from the University of Technology Sydney and has published extensively in journals like Insurance: Mathematics and Economics and Quantitative Finance . Education PhD in Finance, University of Technology Sydney Graduate Certificate in University Learning and Teaching, UNSW Sydney BSc (Hons) in Applied Mathematics, National University of Science and Technology, Zimbabwe His research focuses on longevity risk management , valuation of guarantees in variable annuities , and option pricing under stochastic volatility . Recent work includes pooled annuity smoothing, hybrid insurance-product designs, and mortality forecasting with stacked regression ensembles. His publications span affine mortality models , regime-switching frameworks , and machine learning applications in actuarial contexts. Key topics include guaranteed minimum withdrawal benefits, longevity bonds, and tax implications in insurance contracts. Grants & Awards Australian Research Council Grant (2021–2023, AUD386,139) Society of Actuaries Grant (2017–2020, US$248,278) Multiple UNSW Business School linkage and research grants Vice Chancellor’s Prize for First-Class Degree (2005) International Postgraduate Research Scholarship (2007) He supervises PhD students including Samuel Thirurajah , Gayani Thalagoda , and Yawei Wang . His teaching includes courses on Asset-Liability Models and Financial Economics for Insurance .

Jae Kyung WooView profile

Professor

• Risk theory
• Reliability theory
• Aggregate claim analysis
• +7 more

Professor Jae Kyung Woo is a distinguished academic in the School of Risk and Actuarial Studies at the UNSW Business School, University of New South Wales. She holds multiple prestigious professional designations including Fellow of the Institute of Actuaries of Australia (FIAA), Fellow of the Society of Actuaries (FSA), and Chartered Enterprise Risk Analyst (CERA). Her educational background includes MMath and Ph.D. degrees from the Department of Statistics and Actuarial Science at the University of Waterloo. She has held academic positions at Columbia University as Assistant Professor in the Department of Statistics (2011-2012), and at the University of Hong Kong as Assistant Professor in the Department of Statistics and Actuarial Science (2012-2017) before joining UNSW in July 2017. Research interests focus on risk theory, reliability theory, aggregate claim analysis, queueing theory, and dependence modelling Editorial Board member for ASTIN Bulletin (2021-present), European Actuarial Journal (2025-present), Probability in the Engineering and Information Sciences (2018-present), and Risks (2020-present) Principal investigator for ARC Discovery Projects (2020-2023) and Casualty Actuarial Society grants (2018-2020) Her research output includes 35 journal articles, 1 book, 1 thesis/dissertation, and 1 other publication, with recent work emphasizing shock models for correlated large losses, credibility theory under dependency structures, and advanced dependence modeling techniques in insurance contexts. Her work bridges theoretical stochastic analysis with practical applications in insurance and risk management. Fellow of the Institute of Actuaries of Australia (FIAA), since May 2018 Fellow of the Society of Actuaries (FSA), since Oct 2013 Chartered Enterprise Risk Analyst (CERA), since Jan 2012 Fellow Member of Actuarial Society of Hong Kong (ASHK), since Dec 2018 Professor Woo has secured significant research funding including an ARC Discovery Project grant of AUD 334,000 (2020-2023) for developing shock model-based frameworks for correlated large losses, and a Casualty Actuarial Society grant of USD 20,000 (2018-2020) for credibility theory research under general dependency structures. She served as Nominated Accreditation Actuary at UNSW until 2024.

• Risk Communication
• Crisis Management
• Disaster Communication
• +5 more

Amisha Mehta is a prominent academic at Queensland University of Technology (QUT), specializing in risk communication, crisis management, and disaster communication. Her work bridges theoretical frameworks with practical applications in public relations, organizational trust, and emergency management. Dr. Mehta has contributed extensively to understanding trust dynamics in corporate and governmental communication during crises, particularly focusing on misinformation management, emergency warning systems, and community resilience-building strategies. Lead researcher in multiple disaster communication projects including the Bushfire and Natural Hazards CRC. Co-editor of the Routledge Handbook of Risk, Crisis, and Disaster Communication (2024). Published over 80 peer-reviewed articles and book chapters in journals like Disasters , International Journal of Disaster Risk Reduction , and Public Relations Review . Her research emphasizes practical outcomes for policymakers and practitioners, with a focus on multi-channel communication strategies, business continuity during disasters, and the role of social media in crisis response. She has advised government agencies on risk communication frameworks and participated in high-impact projects such as enhancing dam safety messaging and improving bushfire warning efficacy. Recent work explores the intersection of corporate sustainability strategies (e.g., Net Zero goals) and public trust, as well as the evolving challenges of misinformation in crisis contexts.

Moe Thandar WynnView profile

Professor

• Process Mining
• Data Quality
• Business Process Management
• +3 more

Professor Moe Thandar Wynn is a Co-Director of QUT's Centre for Data Science and holds a Professorship in the School of Information Systems at Queensland University of Technology (QUT). She leads the Process Science Academic Program and serves as the Academic Lead of Research for the School of Information Systems. Her expertise spans Process Mining, Data Quality, and Robotic Process Automation (RPA). Prof Wynn has attracted over AUD 6 million in research funding and holds an h-index of 41 with 8700+ citations. She is a member of the Australian Research Council College of Experts (2023–2025) and has received prestigious awards including the QLD Women in Technology Excellence Award (2024). Her research focuses on formal foundations of process modeling, verification, and automation. She has contributed to international conferences as a co-chair and program committee member, and co-edited special issues on RPA and process dynamics. Prof Wynn collaborates with industries like healthcare, insurance, and agriculture to optimize business processes through data-driven insights. Current research includes privacy-preserving process mining and quality-driven event log enhancement. Education: PhD (QUT, 2006), M. Information Technology (Research, QUT) Key Projects: Hospital Capacity Optimization, Liquid Process Model Collections, Risk-Aware BPM Supervision: Over 10 completed PhD/MSc students in process mining and analytics Awards: Multiple QUT Excellence Awards, ARC College Membership Her lab focuses on advancing process intelligence and RPA, with ongoing efforts in data quality frameworks and process mining standards (e.g., IEEE XES). She actively participates in industry partnerships, such as the CRC Food Agility project, to bridge research and real-world applications.

• Statistics
• Machine Learning
• Financial Econometrics
• +5 more

Jennifer Chan is a Professor in the Statistics Department at the University of Sydney's Faculty of Science. She earned her PhD from the University of New South Wales in 1997 and previously lectured at the University of Hong Kong before joining her current institution in 2006. Her research integrates statistical and machine learning models with applications in finance and insurance, including volatility modeling, Bayesian methods, and neural network applications. Her interdisciplinary research focuses on: Generalized linear mixed models and multivariate volatility measures Machine learning techniques for financial risk assessment Bayesian robustness and portfolio optimization Time-series analysis of cryptocurrencies and equity markets Recent publications demonstrate strong focus on Bayesian models in finance (42% of last 15 papers), machine learning applications (33%), and actuarial science (25%), with emerging emphasis on neural networks for financial forecasting. Awards & Honors: Second prize, Natural Science Award of China's Ministry of Education (2008) National Drug Strategy Research Scholarship (1994-1996) She supervises doctoral candidates working on machine learning applications in finance and insurance. Her international collaborations include institutions in Israel, Japan, Malaysia, and the United States.

Bruce AbernethyView profile

Professor

• Sports Science
• Motor Control
• Cognitive Psychology
• +3 more

Professor Bruce Abernethy is Executive Director of UQ's Engagement with the 2032 Olympic and Paralympic Games, following his tenure as Executive Dean of the Faculty of Health and Behavioural Sciences (2014-2023) at the University of Queensland. His academic leadership includes previous roles as Deputy Executive Dean, Associate Dean (Research), and Head of the School of Human Movement Studies (1991-2003). He also served as inaugural Chair Professor at the University of Hong Kong's Institute of Human Performance (2004-2011). His educational background includes First Class Honours and University Medallist status from the University of Queensland, complemented by a PhD from the University of Otago. Professional recognition includes Fellowships from the American Academy of Kinesiology and Physical Education, Australian Sports Medicine Federation, and Exercise and Sport Science Australia. Abernethy's research centers on the interdisciplinary study of skilled movement control and acquisition, bridging human movement science, experimental psychology, neuroscience, and medical sciences. His work investigates expert perception and production of human movement patterns, with particular focus on deception detection in sports, visual-motor expertise, and fundamental movement skills development. This spans applications from elite athletic performance to pediatric movement disorders. Analysis of his recent publications reveals sustained focus on perceptual-cognitive aspects of sport expertise, with recurring themes in deception detection (particularly in football/cricket), gaze behavior analysis, and perceptual training methodologies. His work increasingly integrates interdisciplinary approaches across motor control, cognitive psychology, and sports biomechanics, with strong emphasis on practical applications for athletic training and movement rehabilitation. International Fellow, American Academy of Kinesiology and Physical Education Fellow, Australian Sports Medicine Federation Fellow, Exercise and Sport Science Australia University Medallist, University of Queensland Professor Abernethy has supervised eight PhD candidates to completion between 2003-2022, with research spanning cricket batting expertise, perceptual training, and movement disorders. His funding portfolio demonstrates exceptional grant acquisition success, including sustained support from the Motor Accident Insurance Commission (1997-2019), Australian Research Council (multiple projects 1995-2011), Australian Football League, Australian Sports Commission, and Hong Kong Research Grants Council. Current engagement with the 2032 Games represents strategic alignment of his expertise with major international sporting events. His research is conducted through the Centre for Extracellular Vesicle Nanomedicine within UQ's Faculty of Health and Behavioural Sciences, collaborating with interdisciplinary teams across sports science, psychology, and medical research domains. This network supports his translational research from basic motor control principles to applied sporting and clinical contexts.

• Applied and computational mathematics
• Industrial modelling and optimization
• Financial engineering
• +4 more

Professor Yong Wu holds the position of John Curtin Distinguished Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), within the Faculty of Science and Engineering. He obtained his PhD from the University of Wollongong (1990) and has been a faculty member at Curtin since 1993, progressing through roles including Lecturer, Senior Lecturer, and Professor. His research focuses on applied and computational mathematics, industrial optimization, and financial engineering with applications in traffic flow control, asset-liability management, and insurance strategy optimization. Education: PhD (Mathematics) from University of Wollongong (1990), followed by postdoctoral research at the same institution before joining Curtin University in 1993. Research Interests: Applied Mathematics: Fractional differential equations, nonlinear systems, and PDEs Industrial Modeling: Optimization algorithms and traffic flow dynamics Financial Engineering: Blockchain-based investment systems and risk management Key Contributions: Over 300 peer-reviewed articles in journals like Journal of Differential Equations and Nonlinear Analysis Recipient of 13 competitive grants including ARC and NSFC funding Listed as Clarivate Analytics Web of Science Highly Cited Researcher Labs/Teams: Active in interdisciplinary research groups focusing on computational mathematics, financial engineering, and industrial systems optimization at Curtin University.

Preety Pratima SrivastavaView profile

Senior Lecturer

• Health Economics
• Labour Economics
• Economics of Education
• +3 more

Dr. Preety Pratima Srivastava is a Senior Lecturer in the School of Economics, Finance and Marketing at RMIT University, Melbourne. She holds a PhD in Econometrics from Monash University and previously served as a Senior Research Fellow at Monash University (2011–2012) and Research Fellow at the Central Bank of Mauritius (1995–2002). Her research focuses on applied microeconomics, health economics, and econometrics, particularly addressing topics like recreational drug consumption, labor market dynamics, and educational policy. She has secured two ARC/NHMRC grants and publishes in journals such as Journal of Health Economics and Health Economics . Currently, she serves as an Associate Editor for the Bulletin of Economic Research . Her work has been featured in media outlets like The Conversation, discussing topics such as alcohol taxation and the impact of parental smoking on children's health. Education: PhD in Econometrics (Monash University). Research Interests: Health Economics, Labour Economics, Economics of Education, Recreational Drug Consumption, Econometric Modeling. Grants & Awards: Two ARC/NHMRC grants. Media Contributions: Recent articles on tobacco-cannabis consumption dynamics and alcohol tax policies. Teaching: Extensive experience in statistics and econometrics courses at undergraduate and postgraduate levels. Service: Committee roles in workload allocation and research initiatives at RMIT School of Economics, Finance & Marketing.

• Health Policy
• Genomics
• Pharmacogenomics
• +4 more

Professor Christine Lu is a globally recognized academic in clinical pharmacy and pharmacoeconomics, serving as Chair of Clinical Pharmacy at the Sydney Pharmacy School, University of Sydney. She holds a dual appointment at the Northern Sydney Local Health District and has held previous roles at Harvard Medical School and Harvard Pilgrim Health Care Institute. Her expertise spans health policy, genomic medicine, and pharmacoepidemiology, with a focus on optimizing medication use and outcomes in diverse populations. Education & Career: Dr. Lu earned her MSc (Biopharmaceuticals) and PhD from the University of New South Wales and completed postdoctoral training at Harvard Medical School. She transitioned from academic roles in the U.S. to the University of Sydney in 2023. Research Interests: Her work addresses critical issues in healthcare systems, including: Impact of health policies on medication access and outcomes Genomic healthcare (e.g., pharmacogenomics) and ethical implications Quality use of high-cost medicines and biosimilars Real-world evidence generation using linked datasets Her current projects include national analyses of precision medicine and biosimilar utilization in Australia. Publications & Impact: Over 200 peer-reviewed articles reflect her focus on disparities in chronic disease outcomes, pharmacogenetic testing, and AI-driven predictive analytics. Recent work highlights disparities in heart failure mortality among diabetes patients and the utility of genomic testing in pediatric populations. Awards & Recognition: Recipient of the Genomic Innovator Award (NIH, 2020-2025), Robert H. Ebert Career Development Award (Harvard, 2018-2020), and the Caroline Miles Award (University of Oxford, 2016). Grants & Mentorship: Leads postgraduate research scholarships in medicines policy and outcomes research. Current advisees include Harry LE (optimizing psychotropic use in dementia) and Benson YIU (biosimilar utilization analysis). She chairs multidisciplinary teams at the Sydney Pharmacy School and collaborates internationally on implementation science initiatives like the IMPULSS program for Lynch syndrome screening. Labs & Collaborations: Active in translational research through the Sydney Pharmacy School’s Clinical Pharmacy Unit, focusing on real-world data applications and health technology assessment. Collaborates with global networks including ISPOR and the Harvard Club of Australia.

• Health Economics
• Health Policy Evaluation
• Payment Models
• +1 more

Kees van Gool is Professor of Health Policy and Systems at the Menzies Centre for Health Policy and Economics, University of Sydney, with a joint appointment as Executive Director of the Pricing and Analytics Branch at the Independent Health and Aged Care Pricing Authority (IHACPA). He previously held positions at the University of Technology Sydney and the OECD. His work bridges academic research and national health policy implementation. His research focuses on: Health policy evaluation and system performance measurement Economic modeling of healthcare payment systems Analysis of out-of-pocket costs and insurance design impacts Geographic and socioeconomic disparities in healthcare access His publications (2013-2025) demonstrate consistent focus on health economics, cancer care financing, primary care models, and policy evaluation methodologies. Recent work emphasizes Medicare reforms, radiation oncology costs, and activity-based hospital funding. Current Projects: NHMRC Centre on Research Excellence Value Based Payments in Cancer Care The International Collaboration on Costs, Outcomes and Needs in Care (ICCONIC) NHMRC Centre on Research Excellence on Medicines Intelligence Recent Grants: 2024: Empowering patients to self-manage blood pressure (NSW Health) 2023: FMH Start-up scheme (University of Sydney) He leads health economics research at the Menzies Centre while directing national pricing analytics at IHACPA, influencing Australian health policy through data-driven approaches.

Kok-Leong OngView profile

Professor

• Business Analytics
• Artificial Intelligence
• Machine Learning
• +5 more

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.