جست‌وجوی استاد و پژوهشگر

Thomas Tao Yangمشاهده پروفایل

دانشیار

• Econometrics
• Microeconomics
• Panel Data Analysis
• +۵ مورد دیگر

Thomas Tao Yang serves as an Associate Professor of Econometrics within the Research School of Economics at the Australian National University. His academic profile centers on advanced methodological contributions to microeconometric theory, with particular expertise in panel data structures, binary and discrete choice frameworks, and models featuring non-separable unobservables. Education Ph.D. in Economics, Boston College (2015) Research Focus Dr. Yang's scholarship addresses fundamental identification and estimation challenges in econometrics. His work pioneers analytical approaches for panel data models with interactive fixed effects, binary choice specifications incorporating lagged dynamics, and semiparametric estimation techniques for discrete choice scenarios. Methodological innovations frequently bridge theoretical econometrics with practical applications in economic policy analysis. Publication Trends Recent publications (2018-2024) demonstrate sustained contributions to premier econometrics journals, including the Journal of Econometrics and Journal of Business and Economic Statistics. His 2024 research revisits identification in dynamic panel binary choice models, while the 2022 quasi-Bayesian frontier analysis exemplifies his expanding methodological toolkit. Collectively, these works reveal consistent emphasis on robust estimation procedures and model specification for complex microeconomic data structures. Academic Engagement Registered as a research student supervisor at ANU, Dr. Yang mentors emerging econometricians. His publication trajectory—evidenced by 177 Scopus citations and an h-index of 5—indicates successful research productivity, though specific grant funding details remain unreported in available materials.

Yu Gaoمشاهده پروفایل

دانشیار

• Maternal and Infant Health
• Aboriginal Health
• Rural and Remote Health
• +۳ مورد دیگر

Associate Professor Yu Gao is Deputy Director of Data & Data Integrity and an Associate Professor in Applied Statistics and Health Economics at Charles Darwin University's Faculty of Health, affiliated with the Molly Wardaguga Research Centre. Trained as an obstetrician, her expertise spans advanced biostatistics and health economics, with a focus on maternal and infant health, rural/remote healthcare, and Aboriginal health. She leads quantitative data analysis across major studies like the NHMRC-funded '1+1= A Healthy Start to Life' and Lowitja Institute's Baby Basket Program evaluation. Her work has shaped policy through rigorous economic evaluations, such as demonstrating cost savings and improved outcomes for Indigenous communities via midwifery group practices. Notably, her analysis contributed to securing $4.1M for model expansion. She serves on MRFF Grant Assessment Committees (2022-2023) and NHMRC panels (2016). Education: Master of Obstetrics and Gynecology (2004, China) and PhD in Medical Statistics (Charles Darwin University, 2008). Her research outputs include 3 Lancet publications and 43 peer-reviewed articles. Recent projects (2020–2026) include studies on pandemic impacts on maternity care, Birthing on Country initiatives, and perineal injury prevention. She collaborates internationally on Indigenous healthcare equity and participatory action research. Key Projects: Rainmaker Readiness (2020–2022): Midwifery continuity during pandemic RISE SAFELY Birthing on Country (2022–2027): Empowering Indigenous birthing services Assessing perineal injury care bundles (2019–2024) Grants & Funding: NHMRC, MRFF, Lowitja Institute Labs/Teams: Molly Wardaguga Research Centre, MWRC data analytics team Future Work: Scaling Birthing on Country models, health economic scoping reviews on preterm birth

Chris Stewartمشاهده پروفایل

مدرس ارشد

• Applied Econometrics
• Time Series Analysis
• Banking Efficiency
• +۵ مورد دیگر

Dr. Chris Stewart is a Senior Lecturer in Economics at Kingston University's Department of Economics within the School of Law, Social and Behavioural Sciences. He joined Kingston University in February 2013 after previously teaching at London Metropolitan University and London Guildhall University. His primary academic responsibilities include teaching econometrics and microeconomics courses across undergraduate programs including Business Economics BSc, Economics BSc, and Financial Economics BSc. Stewart's research focuses on applied econometrics with particular expertise in time series analysis, bank efficiency, purchasing power parity, and foreign direct investment determinants. His work demonstrates methodological innovation in unit root testing, cointegration analysis, and financial econometrics. Recent research projects include generalizing the ARDL bounds test for I(0) variables, analyzing bank profitability determinants, and re-evaluating purchasing power parity testing methodologies. His publication record includes over 40 refereed journal articles in high-impact economics journals such as Applied Economics, Economic Modelling, Empirica, Journal of International Money and Finance, and Socio-Economic Review. His research has been submitted to multiple Research Excellence Framework (REF) assessments at Kingston University and previous institutions. Stewart serves as an assessor for internal REF mock exercises at Kingston University. Fellow of the Higher Education Academy (FHEA), 2024 Stewart's administrative roles include serving as Assessment Officer and Level 6 tutor in the Economics Department, coordinating external examiner moderation and reviewing draft assessments. His research collaborations span international institutions with co-authors from universities worldwide. He maintains active profiles on academic networking platforms including Google Scholar, ResearchGate, and Academia.edu to disseminate his research findings.

• Econometrics
• Financial Economics
• Time Series Analysis
• +۲ مورد دیگر

Karsten Schweikert is a Professor at the Computational Science Hub (CSH) and an affiliate scientist at the Institute for Economics at Stuttgart University of Applied Sciences. He leads the Data and Statistical Consulting module and teaches the Financial Econometrics Seminar . Academic Rank: Professor Department: Institute for Economics Key Affiliation: Computational Science Hub (CSH) His research focuses on econometrics , financial economics , and time series analysis . He specializes in structural breaks, dynamic factor models, cointegration, and market microstructure. Recent work includes studies on integrated variance estimation, price discovery mechanisms, and urban crime forecasting. The 15 most recent publications highlight his expertise in econometric modeling for financial markets, macroeconomic nowcasting, and applied statistics. Key subfields include structural break detection, mixed-frequency data analysis, and market information share estimation. He leads statistical consulting initiatives and teaches advanced econometrics topics. No scientific awards or student advisement information were explicitly mentioned in the provided texts.

Junyi Zhuمشاهده پروفایل

استاد پژوهشی

• Labor Economics
• Applied Microeconomics
• Public Economics
• +۳ مورد دیگر

Junyi Zhu is a Research Professor at the Research Centre of the Deutsche Bundesbank. His research focuses on labor economics, applied microeconomics, and public economics with a particular emphasis on household finance, wealth distribution, and policy analysis. He has contributed to significant projects like the Panel on Household Finances (PHF) in Germany, providing microdata insights into household wealth dynamics. His work bridges theoretical economic models with empirical analysis, addressing issues such as credit constraints, tax policy, and wealth inequality. Affiliations: Deutsche Bundesbank Research Centre since 2010 Research interests include the redistribution effects of price level changes, household saving behaviors, and the interplay between inheritance and marital sorting. His publications span journals like the Journal of the European Economic Association and German Economic Review . Zhu has presented at numerous international conferences, including the World Congress of the International Microsimulation Association and the European Meeting of the Econometric Society. His work emphasizes policy-relevant findings, such as solutions to bracket creep and the design of effective economic stimulus measures. Despite extensive contributions, no specific scientific awards are documented in the provided materials.

• Housing Policy
• Socio-Economics
• Urban Studies
• +۳ مورد دیگر

David Clapham is an Honorary Professor at the School of Social & Political Sciences, University of Glasgow. His research focuses on housing policy, socio-economics, and urban studies, with a particular emphasis on policy analysis, welfare regimes, and institutional accountability. He leads the UK Collaborative Centre for Housing Evidence (CaCHE) and has published extensively on housing management, homeownership norms, and regional policy comparisons. Education : No specific education details provided. Research Interests : Global housing policy frameworks Evaluation of housing outcomes and well-being Comparative analysis of welfare systems Homeownership as a social determinant Policy responses to vulnerable populations Historical institutional performance in housing sectors Publications : Over 16 key works spanning three decades, including seminal books like Remaking Housing Policy (2018) and Accommodating Difference (2015). Recent work explores pragmatic socio-economics and Latin American housing dynamics. Labs/Teams : Affiliated with the UK Collaborative Centre for Housing Evidence (CaCHE), collaborating on evidence-based housing policy initiatives.

• 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.

Debbie J. Dupuisمشاهده پروفایل

استاد

• Extreme Value Theory
• Robust Statistics
• Statistical Modeling
• +۵ مورد دیگر

Debbie J. Dupuis is a Professor at the Department of Decision Sciences at HEC Montréal. Her research focuses on Extreme Value Theory , Robust Statistics , and Statistical Modeling , with applications in Environmental Data Analysis , Climate Change , and Financial Engineering . M.Sc. (Mathematics and Statistics) - Queen’s University Ph.D. (Mathematics and Statistics) - University of New Brunswick She supervises M.Sc. and Ph.D. students in Financial Engineering and Business Analytics , with projects related to Climate Derivatives , Extreme Value Modeling , and Environmental Risk . Her recent work includes modeling Mesoscale Convective Systems , analyzing Urban Heat Island Persistence , and studying Causal Mechanisms in Hydrological Extremes . Key publications span robust statistical methods, environmental extremes, and financial risk. She is a Fellow of the American Statistical Association and a member of GERAD (Group for Research in Decision Analysis). Awards include editorial roles at Journal of the American Statistical Association and contributions to methodological advancements like Robust VIF Regression .

• Innovation and Technological Change
• Efficiency and Productivity Analysis
• Economic Growth in East Asian Economies
• +۳ مورد دیگر

Hailin Liao is an Assistant Professor in the School of Economics, Finance and Accounting at Coventry University. He previously held a Lecturer position at Loughborough University from 2004 and obtained his MSc in International Banking and PhD in Economics there. Prior to academia, he worked as an assistant accountant in Chinese banks. His roles include teaching banking and finance modules at all academic levels and supervising research dissertations. Education : Doctorate (Economic Growth Productivity and Outward Orientation in East Asian Economies) from Loughborough University (2000–2005) MSc in International Banking from Loughborough University (1999–2000) BSc in International Trade from Guangdong University of Technology (1990–1994) His research focuses on innovation and technological change , efficiency analysis , and Economic growth in East Asian economies , with methodological expertise in applied microeconomics and econometric techniques. He has contributed to studies on banking performance, ICT productivity, and spillover effects in manufacturing sectors. Recent publications (2007–2016) emphasize topics like ICT productivity in the US, banking efficiency across Asian nations, and the role of exports in driving productivity growth in East Asia. His work bridges theoretical econometrics with practical applications in regional economic development. He has actively participated in conferences such as the All China Economics International Conference and the North American Productivity Workshop, fostering international collaboration. He has also co-supervised four completed PhD projects focusing on banking efficiency and ICT productivity in East Asian contexts.

Claudia Senikمشاهده پروفایل

استاد

• Income Distribution
• Subjective Well-Being
• Microeconometrics
• +۳ مورد دیگر

Claudia Senik is a Full Professor at the Paris School of Economics and University Paris-Sorbonne , with affiliations including the Institute for the Study of Labor (IZA) and the Institut Universitaire de France . Her work spans economics, public policy, and behavioral studies. Education highlights : Agrégation des Universités (1996) - Full Professor tenure qualification in Economics PhD (1990-1993) in Economics from DELTA, EHESS Master's and Habilitation degrees from University Paris-I and Versailles Saint-Quentin en Yvelines Alumna of Ecole Normale Supérieure - Ulm Research focuses on income distribution, subjective well-being, and the interplay between democracy and economic liberalization. Her microeconometric approach utilizes panel data and behavioral analysis across European and transition economies. Scientific contributions include foundational work on income comparisons, cultural determinants of happiness, and political economy dynamics. Key themes from her 2004-2015 publications include inequality, social reference groups, labor markets, and policy impacts. Accolades include : Prix Turgot 2015 for academic excellence Elected Member of the French National Council of Universities (CNU) Member of INED's board, advancing demographic economics Supported by European funding ORA-10-036 for Olympic Games research

• Data Science
• Econometrics
• Economics
• +۵ مورد دیگر

Univ.-Prof. Martin Wagner is a Professor at the Department of Economics, Alpen-Adria-Universität Klagenfurt, where he serves as Vice-Dean of the Faculty of Management, Economics and Law and Head of the Quantitative Economics Division. His research bridges theoretical and applied econometrics with environmental and macroeconomic challenges. Affiliation: Department of Economics, Faculty of Management, Economics and Law, Alpen-Adria-Universität Klagenfurt Wagner’s work focuses on econometric theory and its applications, particularly in modeling nonlinear cointegrating relationships, environmental economics, and macroeconomic forecasting. His expertise includes: Cointegrating polynomial regressions Unit root processes and stationarity High-dimensional time series analysis Environmental Kuznets curves Panel data econometrics Macroeconomic modeling Recent publications highlight his contributions to robust estimation techniques and the intersection of climate science with economic growth dynamics. Contact: martin.wagner@aau.at

• Inclusive Design
• Human-Centred Design
• Psychosocial Inclusivity
• +۷ مورد دیگر

Yong Hun Lim is the Deputy Head of the Department of Design & Engineering and Programme Leader for BA (Hons) Product Design Futures at Bournemouth University's Faculty of Science & Technology. He coordinates the annual Festival of Design & Engineering (FoDE), a flagship event showcasing student work. His expertise lies in human-centred design, psychosocial inclusivity, and co-design methodologies, focusing on enhancing well-being through inclusive solutions for diverse populations. Lim leads research projects funded by organizations like Sainsbury’s, NIHR, and Heathrow Airport. He is a Fellow of the Higher Education Academy (HEA) and serves on the Institution of Engineering Designers (IED) Accreditation Panel. His work aligns with UN SDGs addressing health, education, inequality, and sustainable communities. Education: PhD in Design Research (Brunel University London, 2018) MSc in Integrated Product Design (Brunel University London, 2012) BFA in Craft Design (Cheongju University, South Korea, 2008) Research Interests: Lim’s work explores the intersection of design and psychosocial well-being, emphasizing co-design practices for aging populations, assistive technologies, and disability studies. He advocates for inclusive environments that address cognitive, emotional, and social dimensions of human experience. Recent projects include drowning prevention in Bangladesh and wearable medical technologies for diabetes management. Awards & Grants: Recipient of grants from NIHR, Bournemouth University QR, and Heathrow Airport Awards include the BT Innovative Design Prize and Jaguar Land Rover Design Challenge Outreach & Leadership: Lim serves as an external examiner at UWE and Coventry University, and has contributed to programme reviews at Winchester School of Art. He leads international initiatives, including design workshops in Thailand and South Korea, and participates in conferences like the World Conference on Injury Prevention. Labs & Collaborations: His research collaborations span academia and industry, focusing on healthcare innovation, aging populations, and inclusive education. Key partnerships include Motability, Sainsbury’s, and the International Inclusive Design Research Group (IDRG).

• Micro-econometrics
• Econometrics
• Nonseparable Models
• +۳ مورد دیگر

Jiangang Zeng is an Assistant Professor of Economics at Fordham University since 2024, following a tenure at Louisiana State University (LSU) from 2020 to 2024. He holds a Ph.D. in Economics from the University of Texas-Austin (2020), an M.A. in Economics from the University of Wisconsin-Madison (2015), an M.S. in Statistics from Carnegie Mellon University (2013), and a B.S. in Applied Math and Economics from Emory University (2012). His research focuses on Micro-econometrics , with specialties in nonseparable models, panel data analysis, and climate economics. Notable works include identification and estimation methodologies for production functions, systems of equations with multiple shocks, and transformation models. His papers are under review at top journals like the Journal of Applied Econometrics and Journal of Business & Economic Statistics. Zeng teaches advanced courses such as Econometrics I/II (Ph.D. level) at Fordham and Micro-econometrics (Ph.D.) at LSU. He received the Excellence in Teaching Award for Graduate Instructor from LSU’s Economics Department in 2022. His current projects include imputation techniques for nonlinear models and panel data models with missing regressors.

Wayne Landisمشاهده پروفایل

استاد پژوهشی

• Ecological Risk Assessment
• Environmental Toxicology
• Climate Change Impact
• +۴ مورد دیگر

Dr. Wayne Landis is a Research Professor at Western Washington University. He specializes in ecological risk assessment, focusing on large-scale spatial and temporal analyses, climate change impacts, and Bayesian network modeling. He has authored over 130 peer-reviewed publications and serves on editorial boards for journals like Human and Ecological Risk Assessment and Integrated Environmental Assessment and Management . A Fellow of the Society for Risk Analysis (2007), he also advises the Puget Sound Partnership on ecosystem restoration. Education: PhD in Zoology, Indiana University MA in Biology, Indiana University BA in Biology, Wake Forest University Research Interests: Dr. Landis pioneers methodologies for ecological risk assessment, including the Action at a Distance Hypothesis for landscape toxicology and the Relative Risk Model for multiple stressor analysis. His work integrates climate change projections, microplastics, nanoplastics, and synthetic biology risks. He advocates for probabilistic approaches to address gaps in regulatory frameworks and combats anti-scientific trends in policy-making. Awards & Recognition: Fellow of the Society for Risk Analysis (2007) Member of the Science Panel for the Puget Sound Partnership SETAC Board of Directors (2000–2003) Advising & Grants: While no formal advisees are listed, Dr. Landis has led collaborative projects with federal agencies, NGOs, and international workshops (e.g., SETAC Pellston Workshops on climate change). His grants include NSF-funded studies on microplastics and gene drives. Labs & Teams: Dr. Landis is affiliated with the Institute of Environmental Toxicology and Chemistry (IETC), advancing tools like environmental DNA (eDNA) for multi-stressor assessments in coastal ecosystems.

Christelle K. Viaurouxمشاهده پروفایل

دانشیار

• Data Analysis
• Econometrics
• Applied Microeconomics
• +۱ مورد دیگر

Christelle K. Viauroux is an Associate Professor in the Department of Economics at the University of Maryland, Baltimore County (UMBC). She holds a Ph.D. from the Toulouse School of Economics in France. Research Interests: Data Analysis, Econometrics, Applied Microeconomics, and Applied Game Theory. Publications: Focus on education economics, human capital, financial wellbeing, urban congestion, and matching theory. Recent work explores inequality in higher education and parental support mechanisms. Contact: Office in the Public Policy Building, Room 336; email: ckviauro@umbc.edu .