جست‌وجوی استاد و پژوهشگر

Kristin Gaineyمشاهده پروفایل

دانشیار

• Depression
• Anxiety Disorders
• Emotion Regulation
• +۷ مورد دیگر

Dr. Kristin Gainey is an Associate Professor at the University of Western Australia (UWA) in the School of Psychological Science, directing the Emotional Wellbeing Lab. She is a registered clinical psychologist in the U.S. Her research focuses on affective processes related to depression, anxiety, and wellbeing, incorporating heart rate variability, mindfulness, and ecological momentary assessment. She has held academic roles at the University at Buffalo (SUNY) and has editorial roles at journals like Psychological Assessment and Self and Identity . Her work is funded by the NIH and recognized through awards from the APA and Society for Research in Psychopathology. Education: PhD in Clinical Psychology, University of Iowa (2011) Clinical Internship, Seattle VA Medical Center (2011) MM in Organ Performance, Yale University (2005) BA in Psychology and Music, Harvard University (2003) Research Interests: Dr. Gainey’s work spans emotion regulation, psychopathology structure, and assessment methodologies. She explores how affective processes interact with clinical outcomes, using innovative techniques like wearable devices and ecological momentary assessments. Her recent projects include developing tools for evaluating experience sampling methods and investigating cultural responsiveness in university curricula. Grants & Awards: National Institutes of Health Grant (2019–2025) Mid-Career Research Award (UWA, 2023) APA Early Career Award (2018) Labs/Teams: She leads the Emotional Wellbeing Lab and collaborates on NIH-funded studies examining emotion regulation in distress disorders. She also engages in curriculum reform efforts to decolonize psychology education through yarning sessions with Indigenous communities.

Nicholas Clarkمشاهده پروفایل

مدرس

• Ecological Forecasting
• Disease Ecology
• Statistical Modeling
• +۲ مورد دیگر

Nicholas Clark is an ARC DECRA Fellow and Lecturer at the School of Veterinary Science, University of Queensland, with affiliations to the Centre for Marine Science. His research focuses on computational tools for predicting ecological responses to environmental change, including host-parasite interactions, wildlife populations, and veterinary diseases. Education includes: B.Sc. Marine Ecology, University of North Carolina Wilmington Ph.D. Ecological Modelling, Griffith University Research interests center on ecological forecasting, automatic time-series analysis, macroecology of infectious diseases, and epidemiology at the human-wildlife interface. He maintains several R packages including MRFcov for Markov Random Fields and mvgam for multivariate generalized additive modeling. His recent publications show strong focus on disease ecology, statistical methods, and One Health approaches. Research impacts include media coverage of ecological forecasting advances and applications in conservation and biosecurity. Honors include an ARC DECRA Fellowship. He actively mentors students in ecological forecasting and computational biology methods.

Myra Yazbeckمشاهده پروفایل

استاد

• Health Economics
• Development Economics
• Labour Economics
• +۴ مورد دیگر

Myra Yazbeck is a Full Professor in the Department of Economics at the University of Ottawa and holds an Honorary Associate Professor role at the School of Economics, University of Queensland. She is a Research Associate at the Center for the Economics of Human Development (HCEO), University of Chicago, and a Research Fellow at the Economic Research Forum for Arab Countries, Iran and Turkey (ERF). Her research focuses on Health Economics, Labour Economics, Development Economics, and Social Interactions, with emphasis on poverty measurement, health inequality, and policy analysis. Her work spans topics including socioeconomic health disparities, peer effects on adolescent health, and the impact of economic policies on public institutions. She has contributed to journals like Journal of Health Economics and Social Science and Medicine , and serves as an Associate Editor for the Journal of Population Economics . Key areas of research include applying econometric methods to assess health achievement, analyzing labor market dynamics, and evaluating public programs aimed at reducing poverty and inequality. Her recent work addresses challenges in data-scarce environments, such as Lebanon's economic crisis, and studies spillover effects of retirement on health vulnerability. Yazbeck’s interdisciplinary approach integrates quantitative techniques with policy analysis, focusing on vulnerable populations and socioeconomic determinants of health outcomes. She collaborates with international research networks to advance evidence-based solutions for global development challenges.

• Biostatistics
• Public Health
• Health Services Research
• +۵ مورد دیگر

Paula Diehr is a Professor of Biostatistics and Health Services at the University of Washington's School of Public Health and Community Medicine. With a distinguished career spanning several decades, Dr. Diehr has established herself as a leading expert in biostatistics and health services research. Dr. Diehr's research focuses on critical methodological issues in public health, including small area statistics, health care utilization analysis, and statistical methods for population health research. Her work on the Diehr Rule for diagnosing pneumonia represents an important clinical decision tool, while her more recent work on the Healthy Life Calculator has contributed significantly to aging and longevity research. Her publications demonstrate consistent contributions to methodological advancements in public health research, particularly in statistical approaches for analyzing health care data and evaluating community-based interventions. Dr. Diehr has published extensively in top public health journals including Annual Review of Public Health, American Journal of Public Health, and Medical Care. UCLA Alumni Hall of Fame recipient Dr. Diehr has been instrumental in developing statistical methodologies that address real-world challenges in health services research, with particular emphasis on the proper application of statistical assumptions in large public health datasets and innovative approaches to analyzing health care utilization patterns. Her work bridges theoretical statistical methods with practical public health applications.

Spiridon Penevمشاهده پروفایل

استاد

• Wavelet Methods in Non-Parametric Curve Estimation
• Edgeworth Expansions and Saddlepoint Approximation Methods
• Structural Equation Models
• +۴ مورد دیگر

Professor Spiridon Penev is a faculty member at the School of Mathematics & Statistics , University of New South Wales (UNSW), Sydney. After completing his PhD in Mathematical Statistics at Humboldt University, Berlin, he worked at Technical University of Sofia (Bulgaria) for 10 years, becoming Associate Professor in 1991. He joined UNSW in 1992, progressing from Lecturer to Professor in 2019. His teaching focuses on Statistical Inference , Multivariate Analysis , Longitudinal Data Analysis , and related advanced courses. Research Interests: Wavelet Methods in Non-Parametric Curve Estimation, Edgeworth Expansions, Saddlepoint Approximation, Structural Equation Models, Inference in Semiparametric Models, and Stochastic Risk Modelling. Article Trends: His work spans from foundational wavelet methods (pre-2010) to modern applications in climate model ensembles , portfolio optimization , marine engineering , and machine learning . Keywords include Statistics, Finance, Climate Science, Structural Health Monitoring, and Optimization. Awards: DAAD Award, Elected Member of the International Statistical Institute (ISI). Grants: Led ARC Discovery Project (2016–2018), ARC Linkage Project (2018–2022), and industry collaborations like SCA water quality analysis (2014–2019). Location: School of Mathematics and Statistics, UNSW Sydney, Room 1038, The Red Centre.

• Constrained Statistical Inference
• GARCH Models
• Extreme Value Theory
• +۴ مورد دیگر

Mervyn J. Silvapulle is a Professor in the Department of Econometrics and Business Statistics at Monash University. He holds a B.Sc.(Honours) in Mathematics and a Ph.D. in Statistics from the Australian National University (ANU), awarded in 1982. His research focuses on econometric and statistical methodology, with current interests in constrained statistical inference, GARCH models, and extreme value theory. Past research includes robust statistics, generalized linear models, ridge regression, and minimum distance methods of inference. Education: B.Sc. (Honours) in Mathematics, Ph.D. in Statistics (ANU). Editorial Roles: Editor (Theory and Methods) of the Australian and New Zealand Journal of Statistics, guest editor for special issues on constrained statistical inference, and associate editor for multiple journals, including the Journal of Statistical Planning and Inference and Sankhya. His research spans collaborations with institutions like the Australian Research Council (ARC), Universität St. Gallen, and the European Centre for Advanced Research in Economics and Statistics. He has led or co-investigated projects such as 'Robust methods for heteroscedastic regression models for time series' (2015–2022) and 'Non-parametric estimation of forecast distributions in non-Gaussian state space models' (2009–2012). Grants & Advising: Accepting PhD students since 1995, with a history of securing ARC-funded projects.

Nan Zouمشاهده پروفایل

مدرس

• Time series analysis
• Extreme value theory
• Resampling-type methods
• +۳ مورد دیگر

Nan Zou is a Lecturer in Statistics at Macquarie University's School of Mathematical and Physical Sciences. She holds a Ph.D. in Mathematics with a Specialization in Statistics from the University of California San Diego (2017) and a B.B.A. in Management Science from Renmin University of China (2011). Her research focuses on statistical methodology and theory in time series analysis, extreme value theory, resampling techniques, and dynamical systems. She has collaborated internationally and received the 2023 Faculty of Science and Engineering Award for Inter-School Collaboration. Her recent work addresses bias correction in extreme value analysis, bootstrap methods for unit root testing, and multivariate time series extremes. Key contributions include reweighted madogram estimators and seasonal unit root tests under periodic variation. Current research emphasizes statistical inference for massive datasets and dynamical systems. Nan Zou actively supervises PhD and MRes students at Macquarie University, encouraging applications from eligible candidates. She has published in journals like the Annals of Statistics and Journal of Nonparametric Statistics , with a focus on methodological advancements in statistical theory.

Xibin Zhangمشاهده پروفایل

استاد

• Bayesian inference
• Financial econometrics
• Nonparametric estimation and testing
• +۷ مورد دیگر

Xibin Zhang is a Professor in the Department of Econometrics and Business Statistics at Monash Business School, Monash University, Australia. He has been a faculty member since 2004, progressing from Lecturer to full Professor in 2021, and has established a strong research profile in econometrics and applied statistics. Educational Background: PhD in Econometrics, Monash University, Australia Doctoral Degree in Systems Engineering, Tianjin University, China MSc in Probability and Statistics, Nankai University, China BSc in Mathematical Statistics, Nankai University, China Research Interests: Professor Zhang’s research focuses on advanced econometric methodologies, including Bayesian inference, semiparametric and nonparametric estimation, panel data models, and hypothesis testing. His work extends into financial econometrics, actuarial studies, and energy economics, with a strong emphasis on empirical applications related to climate policy, energy transition, and economic sustainability. He applies sophisticated statistical techniques to real-world data, contributing to both methodological development and policy-relevant insights. Publication Trends: His recent publications (2019–2025) reveal a consistent focus on nonparametric and Bayesian methods in econometrics, with applications in energy economics, stochastic frontier analysis, and financial modeling. He frequently publishes in top-tier journals such as Journal of Econometrics , Energy Economics , and Economic Modelling , often in collaboration with leading researchers. A notable trend is the integration of kernel-based methods and Bayesian bandwidth selection across various modeling frameworks. Scientific Awards: Dean's Award for Excellence in Research (2009) Dean's Commendation for Excellence in Research Publication (2007) Advising and Grants: He has supervised over 15 PhD and Master’s students to completion and currently supervises multiple PhD candidates. His research is supported by competitive grants, including four Australian Research Council (ARC) Discovery Projects (2006–2016) and a DFAT-funded project (2017–2018) on Chinese tourism dispersal in regional Australia. Labs and Research Teams: While no formal lab is mentioned, Professor Zhang collaborates extensively within econometrics and business statistics research groups at Monash, particularly with colleagues like M.L. King, Jiti Gao, and Russell Smyth. He also engages in interdisciplinary work involving energy policy, finance, and actuarial science.

• Sport Data Science
• Biomechanics
• Functional Data Analysis
• +۵ مورد دیگر

John Warmenhoven is a Lecturer at the University of Technology Sydney's School of Sport, Exercise and Rehabilitation within the Faculty of Health. His research intersects applied analytics, movement science, and meta-research, focusing on translating data science—especially functional data analysis—into real-world applications in high-performance sport, health, and defense. He co-leads national grants in the CSIRO Sports AI Consortium and has authored over 40 peer-reviewed publications. His research interests include AI-driven skill acquisition, biomechanics-informed performance optimization, and data science capability-building for defense. Dr. Warmenhoven supervises PhD students working on innovative projects ranging from sports AI to biomechanical analysis. Recent publications demonstrate trends in advanced biomechanical modeling, athlete performance diagnostics, and meta-research methodologies. He engages extensively with elite sports industries to develop practical, problem-centered research solutions.

Rodney Strachanمشاهده پروفایل

استاد

• Econometric and Statistical Methods
• Econometrics
• Macroeconometric Analysis
• +۵ مورد دیگر

Professor Rodney Strachan is a Professor of Econometrics at the School of Economics, University of Queensland (UQ), within the Faculty of Business, Economics and Law. He holds a PhD from Monash University (2000) and has held prior positions, including at the Australian National University (ANU), where he served as Deputy Head of the Research School of Economics. His research focuses on Bayesian econometrics, time-varying parameter models, macroeconometric analysis, and dynamic factor models. He also serves as a Senior Fellow at the Rimini Centre for Economic Analysis and a Research Associate at the Centre for Applied Macroeconomic Analysis. Strachan's research interests include Bayesian methods, time series analysis, cointegration, and the development of large-scale macroeconomic models. His work addresses challenges in model uncertainty, parameter instability, and the application of stochastic volatility models. Notable projects include 'Large dynamic time-varying models for structural macroeconomic inference' (2018–2022) and 'Estimation of the continuous piecewise linear model and macroeconomic applications' (2012–2015). His publications span journals like the Journal of Econometrics, Journal of Business and Economic Statistics, and Studies in Nonlinear Dynamics and Econometrics. Recent work includes advancements in multivariate stochastic volatility models and dynamic factor models with drifting trends. He is actively involved in advising and mentoring graduate students, though specific advisee names are not listed here. Strachan’s contributions to econometric theory and macroeconomic modeling have been recognized through collaborations with institutions like the Rimini Centre for Economic Analysis and the Centre for Applied Macroeconomic Analysis. His research emphasizes methodological innovation, with a focus on practical applications to policy analysis and forecasting.

Ali Zamaniمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Imaging
• Antenna Design
• +۳ مورد دیگر

Dr. Ali Zamani is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on biomedical engineering, medical imaging, and electromagnetic systems. He holds a PhD in frequency-based microwave medical imaging from UQ (2018). His work combines antenna design, signal processing, and machine learning to develop innovative diagnostic tools for conditions like hepatic steatosis, stroke, and pulmonary edema. Key projects include the HepNet neural network for liver disease detection and a portable electromagnetic brain scanner for acute stroke diagnosis. Research interests span microwave medical imaging, wearable sensors, and electromagnetic tomography. His contributions include over 45 peer-reviewed publications and patents on medical imaging probes and systems. Collaborations involve interdisciplinary teams in biomedical engineering, electrical engineering, and clinical medicine. His recent publications highlight advancements in AI-driven diagnostics, non-invasive imaging techniques, and hardware innovations for clinical applications. He has pioneered electromagnetic systems for 3D head imaging and torso scanning, with emphasis on real-time and portable solutions.

Nicole Robinsonمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Robotics
• AI Ethics
• +۳ مورد دیگر

Dr. Nicole Robinson is a Lecturer at Monash University, cross-appointed between the Faculty of Engineering and the Faculty of Medicine, Nursing & Health Sciences. She holds affiliations with the Department of Electrical and Computer Systems Engineering and the School of Psychological Sciences. Her interdisciplinary research focuses on human-robot interaction, translating human behavior into robotics systems to advance human-robot collaboration. She has led clinical trials and experimental studies involving humanoid and socially interactive robots, with a particular emphasis on healthcare applications and team performance in search-and-rescue missions. Dr. Robinson previously served as a Chief Investigator and Program Leader of Human Interaction at the QUT Robotics Centre, and is currently an Honorary Adjunct Lecturer at Queensland University of Technology. She co-founded LYRO Robotics, a venture-backed company developing AI-driven robotic solutions for warehousing and agriculture, which won the 2020 Unicorn Cup as Australia’s top startup. Her work spans $7.4M in competitive grants and industry partnerships, emphasizing ethical robotics and public outreach. Her research interests include human-robot teamwork, explainable AI, and behavioral psychology. She has published extensively on HRI methodologies, trust dynamics, and social robots in healthcare. Notable awards include the 2018 Best Team Award and 2019 Contribution to Public Debate Award from the Australian Centre for Robotic Vision. Dr. Robinson is a sought-after speaker, with a media reach exceeding 40 million, and has hosted a podcast on AI and robotics. She actively promotes STEM education and gender diversity, contributing to courses and guest lectures at multiple institutions.

Bernard Wongمشاهده پروفایل

استاد

• Actuarial Science
• Risk Management
• Insurance
• +۳ مورد دیگر

Professor Bernard Wong is the Head of the School of Risk and Actuarial Studies at the University of New South Wales, Australia. As a Fellow of the Institute of Actuaries of Australia and a Fulbright Scholar, he has significantly advanced actuarial science through research and leadership. His academic credentials include a PhD from the Australian National University and a BCom (Hons) in Actuarial Studies from Macquarie University. PhD (Australian National University) BCOM (Hons) in Actuarial Studies (Macquarie University) His research focuses on AI/ML-enhanced actuarial methods and capital modeling under climate change , with applications to insurance and risk management. He co-leads the Innovations in Risk, Insurance, and Superannuation (IRIS) Knowledge Hub and serves as a chief investigator in the UNSW Institute of Climate Risk and Response. His work also drives the Business AI Lab’s actuarial innovations. Recent publications analyze data breach trends, stochastic loss reserving with neural networks, and multivariate count processes. He has secured substantial Australian Research Council grants , including projects on extreme value theory and claim dependencies. Awards include the Hachemeister Prize (2023, 2017), Taylor-Fry Silver Prize (2018), and Melville Practitioner Prize (2000). Professor Wong actively contributes to actuarial governance as a Board Member of ASTIN and former participant in the Actuaries Institute Data Analytics Practice Committee. His teaching encompasses actuarial data science and enterprise risk management courses.

Pravin Trivediمشاهده پروفایل

استاد

• Applied Economics
• Cross-Sectional Analysis
• Econometrics
• +۱ مورد دیگر

Pravin Trivedi is an Honorary Professor at the University of Queensland's School of Economics, specializing in Econometrics , Panel Data Analysis , and Health Economics . His work bridges theoretical and applied econometric methods with practical policy analysis. Research Focus : Applied economics, statistical modeling, and econometric analysis of count data, health insurance markets, and socioeconomic inequality. Notable Contributions : Development of copula-based models, finite mixture models, and Bayesian techniques to analyze healthcare utilization and insurance dynamics. His publications span influential books like Regression Analysis of Count Data (2013) and empirical studies on topics such as Medicare supplemental insurance and Olympic success determinants. Despite the absence of explicit awards or student advising records in the text, his methodological innovations and interdisciplinary applications highlight his academic impact.

Sally Larsenمشاهده پروفایل

مدرس ارشد

• Reading Development
• Mathematics Development
• Educational Assessment and Measurement
• +۹ مورد دیگر

Sally Larsen is a Senior Lecturer in the School of Education at the University of New England (UNE), within the Faculty of Humanities, Arts, Social Sciences and Education. She is an active researcher and educator with a focus on quantitative methods in educational research, particularly longitudinal and multilevel modeling. Education: Ph.D., University of New England, 2022 M.Ed. (Teacher-librarianship), Queensland University of Technology, 2011 B.Ed. (Secondary), University of Queensland, 2004 B.A. (English/French), University of Queensland, 2002 Her research centers on reading and mathematics development across primary and early secondary school, with a strong emphasis on analyzing longitudinal data such as NAPLAN. She investigates growth patterns, predictors of academic development, and the application of behavioral genetics in educational contexts. Her methodological expertise includes structural equation modeling, latent growth curve models, and multilevel analysis. Her recent publications reveal a consistent focus on developmental trajectories in literacy and numeracy, school sector differences, genetic and environmental influences on learning, and methodological rigor in educational measurement. These works appear in top journals such as Developmental Psychology , Child Development , and Behavioral and Brain Sciences . Scientific Awards: Australian Association for Research in Education, Early Career Researcher Conference Paper Award (2023) University of New England, Chancellor’s Doctoral Research Medal (2022) Society for the Scientific Studies of Reading, Taylor and Francis Award (2020) Sally Larsen has contributed to major research collaborations and projects, including the Academic Development Study of Australian Twins (ADSAT). She advises on research methods and statistics and coordinates the Graduate Teaching Performance Assessment. She has presented at leading conferences such as AARE and SSSR and is a member of key academic societies including the Society for Research in Child Development. She is actively involved in translating research into practice, particularly in supporting evidence-based teaching and understanding how genetic research may inform, but not dictate, educational policy and classroom practice.