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Mengheng LiView profile

Senior Lecturer

• Time Series Econometrics
• Macroeconomics
• Climate Change Economics
• +3 more

Mengheng Li is a Senior Lecturer at the Economics Discipline Group within the UTS Business School and a research associate at the Centre for Applied Macroeconomic Analysis (ANU) and the Centre for Climate Risk and Resilience (CCRR). He specializes in nonlinear/non-Gaussian state space models, macroeconomic forecasting, and climate change economics. Prior to UTS, he worked at the Dutch Central Bank as an econometrician. His PhD in Econometrics was obtained from VU University Amsterdam and the Tinbergen Institute. Education includes a PhD in Econometrics (2018, VU Amsterdam/Tinbergen Institute), M.Phil. in Economics (2015, cum laude), and B.Sc. in Econometrics (2013, cum laude, Tilburg University). Research focuses on inflation dynamics, business cycles, output gaps, and the economic costs of climate change. He has received awards including the 2019 INFER Best Paper Award and multiple conference grants. Grants: UTS Collaboration Scheme (2023), UTS Business School Research Grant (2022) Professional Affiliations: Econometric Society, International Association for Applied Econometrics Teaching: Advanced Macroeconomics, Time Series Econometrics, Business Statistics His work bridges econometric theory and applied macroeconomic issues, with recent emphasis on climate change's economic implications and high-dimensional volatility modeling.

• Energy Economics
• Geosciences
• Hydrocarbon Resource Assessment
• +4 more

Sofia Berdysheva is a Research Fellow at the Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin. Her research focuses on integrating geoscience with energy economics, addressing challenges in resource assessment, climate impacts, and energy transition strategies. She specializes in analyzing hydrocarbon productivity in unconventional basins like the Permian and Midland, evaluating hydropower vulnerability in Sub-Saharan Africa, and exploring the economic implications of global energy shifts. Her work spans interdisciplinary topics, including well performance optimization, geomechanical influences on production, and the interplay between emission policies and corporate asset strategies. Notable contributions include frameworks for hydrogen trade analysis and frameworks assessing energy transition dynamics across firms and global markets. She also examines energy security through the lens of interfuel substitution and international trade patterns. While no scientific awards are explicitly mentioned, her research demonstrates significant engagement with pressing issues in energy systems and geosciences. Her studies on investment decisions, production dynamics, and energy policy provide actionable insights for firms and policymakers navigating the energy transition landscape. Sofia’s work is characterized by rigorous data analysis and a focus on practical, scalable solutions for sustainable energy futures.

Giorgio PrimiceriView profile

Professor

• Macroeconomics
• Applied Time-Series Econometrics
• Macroeconomic Fluctuations
• +4 more

Giorgio Primiceri is a Professor of Economics at Northwestern University's Weinberg College of Arts & Sciences, Department of Economics. He holds academic roles since 2004, including co-editor of the American Economic Journal: Macroeconomics (2017-2022). His research focuses on macroeconomic fluctuations, monetary policy, and household debt dynamics. He is affiliated with NBER (Monetary Economics Group) and CEPR (Macroeconomics programmes). Education: PhD in Economics, Princeton University, 2004 MA in Economics, Princeton University, 2001 Laurea in Economics (Summa cum laude), Bocconi University, 1998 Research Interests: His work explores macroeconomic stability mechanisms, monetary policy effects, and housing market dynamics. Notably, he investigates post-pandemic inflation drivers, inequality-business cycle linkages, and big data in forecasting. His methodologies emphasize applied time-series econometrics and Bayesian models. Awards: Alfred P. Sloan Research Fellowship Susan Schmidt Bies Award in Economics Advising & Grants: Advised over 20 PhD students at Northwestern. Involved in grants and policy consultations with the Federal Reserve Bank of Chicago, ECB, and Bank of Canada. Served on editorial boards of major journals like Review of Economic Studies and Econometrica . Professional Involvement: Keynote speaker at global conferences, including Padova Macro Talks and the Banque de France. Organized conferences on housing debt, DSGE models, and macro-financial dynamics.

Li MaView profile

Professor

• Statistical Genetics
• Population Genetics
• Genomic Selection
• +5 more

Dr. Li Ma is a Professor in the Department of Animal & Avian Sciences at the University of Maryland, College Park. His research focuses on statistical genetics, population genetics, and genomic selection in livestock, particularly dairy cattle. He develops computational tools to enhance genetic studies using next-generation sequencing data, with applications in improving livestock productivity and disease resistance. His work includes analyzing recombination patterns and PRDM9 alleles in dairy cattle breeding, genomic selection strategies using large-scale datasets, and integrating multi-omic data for precision livestock breeding. He also explores big data analytics in agricultural genomics. Notable research areas include sequence-based genomic discovery, genetic architecture of complex traits, and applying machine learning to genetic studies. His recent articles (2024–2025) show interdisciplinary work in financial econometrics, addressing topics like risk management, stochastic volatility modeling, and option pricing strategies. This dual focus suggests expertise spanning both biological and quantitative finance domains. Dr. Ma collaborates on projects involving genomic databases, statistical method development, and computational biology tools. His work bridges genetic research and advanced financial modeling, though specific student advisement details are not listed here.

Sebastian KühnertView profile

Researcher

• Functional Time Series Analysis
• Operator Estimation
• Asymptotic Statistics
• +3 more

Dr. Sebastian Kühnert is a Researcher at the Department of Mathematics within the Faculty of Mathematics at Ruhr University Bochum. His work focuses on advanced statistical methodologies in functional time series analysis, operator estimation, and asymptotic statistics. He contributes to theoretical developments in Hilbert space-based processes and their applications to real-world time series data. Research interests include functional ARCH/GARCH models, lagged covariance operators, and invertible processes. He has published extensively on operatorial statistics and functional data analysis, with notable contributions to the estimation of ARMA processes in Hilbert spaces. His work bridges abstract mathematical theory with practical statistical applications. Dr. Kühnert serves as a reviewer for academic journals and actively presents his research findings in international talks. He is affiliated with the Group Dette within the Institute of Statistics and collaborates on projects related to stochastic processes and their asymptotic properties.

• Financial Econometrics
• Time Series Econometrics
• Macroeconomics
• +3 more

Professor ANDREOU ELENA is a faculty member in the Department of Finance at the University of Cyprus, affiliated with the School of Economics and Management. Her research focuses on Financial Econometrics and Time Series Econometrics, with notable contributions to macroeconomic forecasting, volatility modeling, and policy analysis in Cyprus and Europe. She has conducted extensive work on mixed-frequency data models, structural breaks in financial markets, and the shadow economy. Her recent projects include analyses of Cyprus' economic indicators and the impact of recovery plans on economic resilience. Her publications span over two decades, addressing topics like volatility risk premiums, consumption sentiment, and genetic defect studies in Cyprus. She is active in academic and policy circles, contributing to the EUROMOD Country Report and economic forecasting tools for Cyprus' GDP sectors. Research Interests: Financial Econometrics Macroeconomic Forecasting Volatility Modeling Policy Analysis Shadow Economy Dynamics Her work integrates econometric theory with applied research, emphasizing the use of advanced statistical methods to address real-world economic challenges. Recent trends in her publications highlight a focus on mixed-frequency data applications and policy evaluation frameworks. Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: No student advisees listed. No grant details provided in the text.

Christis HassapisView profile

Associate Professor

• Macroeconomics
• Banking
• International Finance
• +3 more

Christis Hassapis is an Associate Professor in the Department of Finance at the University of Cyprus, affiliated with the School of Economics and Management. He holds a Bachelor's in Mechanical Engineering from The George Washington University and a Master's and PhD in Economics from Boston College, USA. Vice Dean, Graduate School (2014-2018) Vice Dean, School of Economics and Business Administration (2014-2017) Elected Member, University of Cyprus Council (multiple terms) Chairman, UCY-Voice Radio Station His research focuses on Macroeconomics, Banking, and International Finance, with emphasis on policy uncertainty, portfolio optimization, and financial dynamics. Recent work explores contagion effects in housing markets, robust portfolio strategies, and nonlinear interest rate dynamics. Key contributions include studies on economic policy uncertainty impacts, group decision-making in investments, and crisis analysis in Greece. He has served in leadership roles at academic and institutional bodies, including the UCY Diogenis Business Incubator and Teaching Resource Center.

Andros KourtellosView profile

Professor

• Econometrics
• Intergenerational Mobility
• Social Interactions
• +4 more

Andros Kourtellos is the Department Chair and Professor of Economics at the University of Cyprus (UCY), affiliated with the School of Economics and Management. He holds senior fellowships at the Rimini Centre for Economic Analysis (RCEA) and the University of Chicago's Human Capital and Economic Opportunity Global Working Group (HCEO). His research focuses on econometric methods, intergenerational mobility, social interactions, and economic growth, with contributions to threshold regression models and nonlinear econometrics. He earned his B.Sc. (1996) from UCY and M.Sc./Ph.D. (2001) from the University of Wisconsin-Madison. Key research interests include poverty traps, status traps in mobility, and the role of redistribution in growth. His work employs spatial econometrics and model averaging techniques, addressing topics like barriers to price convergence and the impact of land inequality on economic transitions. He has held visiting positions at Virginia Tech, UW-Madison, and the University of Chicago. Recent publications (2020–2023) emphasize social threshold regression, policy implications of inequality, and pandemic-related economic analysis. He was awarded Marie Skłodowska-Curie fellowships for research and supervision. His work bridges theoretical econometrics with applied policy analysis, focusing on cross-country comparisons and developmental challenges. Grants and advising: While no students are listed, his research collaborations span institutions globally. He contributes to the Economic Research Centre (ERC) at UCY and advises on macroeconomic forecasting methodologies. His work on forecasting incorporates daily financial data and mixed-frequency models, enhancing predictive accuracy for policy applications. Labs/Teams: Active in the Rimini Centre for Economic Analysis (RCEA) and the UCY Economic Research Centre, contributing to networks like the HCEO. His research group focuses on socio-economic inequality, growth dynamics, and econometric methodology.

Ramarao DesirajuView profile

Professor

• Marketing Mix Optimization
• Sales Force Incentives
• Business-to-Business Marketing
• +4 more

Ramarao Desiraju is a Professor of Marketing and Chair of the Department of Marketing at the University of Central Florida. His research combines game theory and empirical analysis to examine marketing mix optimization and incentive structures in sales force management and business-to-business contexts . He has taught undergraduate , MBA , and Ph.D. courses , and previously served as the Doctoral Program Coordinator . Research Focus Marketing mix optimization Sales force incentive design Channel structure analysis Game theory applications in business Empirical market research Publications & Awards Published in Journal of Marketing , Marketing Science , Management Science Awarded MSI/H. Paul Root Award , William R. Davidson Award , and multiple UCF research honors Professional Engagement Serves on editorial boards for Journal of Retailing , Marketing Letters , and Journal of Business-to-Business Marketing . Has reviewed for numerous prestigious journals across marketing and operations management.

Lili YanView profile

Senior Lecturer

• Volatility Modelling
• Asset Pricing
• Sustainable Finance
• +2 more

Dr. Lili Yan is a Senior Lecturer in Finance and Banking at the University of Greenwich and Fellow of the Higher Education Academy. She holds a PhD from the University of Essex and an MSc in Financial Mathematics from the University of Exeter. Her research specializes in volatility modelling and forecasting, asset pricing, and sustainable finance. She contributes to the Institute of Political Economy, Governance, Finance and Accountability (PEGFA). At Greenwich, she teaches core banking and finance courses at undergraduate and postgraduate levels, serving as an academic tutor.

Verena MonschangView profile

Researcher

• Econometrics
• Financial Economics
• Time Series Analysis
• +2 more

Dr. Verena Monschang serves as a Researcher at the Chair of Empirical Economics within the Department of Economics, School of Business and Economics at the University of Münster. Based at the Center for Quantitative Economics (CQE) in Room 316, Am Stadtgraben 9, she maintains active research operations with contact via verena.monschang@wiwi.uni-muenster.de and +49 251 83-22950. Her research program centers on advanced econometric methodologies, specializing in time series analysis for financial and economic forecasting. Key focus areas include developing linear-convex combination forecast techniques, volatility prediction models, and rigorous testing frameworks for speculative bubble detection in international markets. Her work integrates multifractal structures and error modeling to enhance predictive accuracy across economic indicators. Monschang's publication trajectory demonstrates consistent innovation in forecast combination procedures and bubble-detection validation, with recent contributions to the Journal of Forecasting and Empirical Economics. Her collaborative research with Bernd Wilfling and Markus Trede through the CQE Working Papers series establishes methodological refinements applicable to real-world financial volatility and multi-horizon prediction challenges. She currently leads two major research initiatives ongoing since January 2020: New approaches to forecasting economic and financial time series (addressing forecast combinations and error modeling) and Bubbles in financial markets (analyzing speculative bubbles through econometric testing). These projects operate within the collaborative framework of the Center for Quantitative Economics, which facilitates interdisciplinary quantitative research at Münster.

David MaslarView profile

Assistant Professor

• Investments
• Market Microstructure
• Fixed Income
• +3 more

David Maslar is an Assistant Professor of Finance and Academic Director of the Full-Time MBA program at the University of Tennessee's Haslam College of Business. He holds a Ph.D. in Finance from the University of Missouri (2013), with additional master's degrees in Applied Mathematics and Economics from the same institution, and a B.S. in Economic Analysis from Binghamton University (2006). His research focuses on investments, market microstructure, and fixed income, with notable publications in the Journal of Corporate Finance and Journal of Financial Markets. Maslar has received multiple teaching awards, including the Sharon Miller-Pryse Outstanding Finance Faculty Award (2017, 2019) and the John A. Riggs Excellence in MBA Teaching Award (2014). His work has explored topics such as bond mutual funds, political connections, and agency costs of debt. Education: Ph.D. in Finance, University of Missouri, 2013 M.S. in Applied Mathematics, University of Missouri, 2009 M.A. in Economics, University of Missouri, 2009 B.S. in Economic Analysis, Binghamton University, 2006 Research Interests: Empirical asset pricing, fixed income analysis, market microstructure dynamics, and the impact of political connections on corporate debt costs. His work bridges theoretical frameworks with empirical analysis, often addressing liquidity, institutional investor behavior, and market efficiency in financial markets. Awards & Honors: MBA First Year Outstanding Commitment to Students Faculty Award (2020) Semi-Finalist, FMA Best Paper Award (2017–2020) John A. Riggs, Jr. Excellence in MBA Teaching Award (2014) Sharon Miller-Pryse Outstanding Finance Faculty Award (2017, 2019) Teaching & Service: Teaches Financial Management, Fixed Income, and Financial Markets courses at both undergraduate and MBA levels. Served as Ph.D. Program Committee member (2016–2020), seminar coordinator, and dissertation committee member at the University of Tennessee. Active in academic service, including roles as discussant for major finance conferences. Labs/Teams: Collaborates with researchers on topics such as market microstructure, corporate finance, and institutional investor strategies through interdisciplinary projects and conference presentations.

Sean WillemsView profile

Professor

• Supply Chain Analytics
• Applied Optimization
• Inventory Management
• +2 more

Sean Willems holds the Haslam Chair in Supply Chain Analytics and serves as Haslam Family Faculty Fellow at the University of Tennessee, Knoxville's Haslam College of Business. His expertise encompasses applied optimization, lean operations, and supply chain analytics. Research Focus: Willems specializes in inventory optimization, supply chain configuration, demand forecasting, and analytics implementation in complex industrial settings. His work often addresses coordination challenges in multi-echelon supply networks and the impact of emerging technologies on operations strategy. Publication Trends: Recent research explores supply chain resilience in post-pandemic environments, safety stock optimization under expediting scenarios, and innovative teaching methodologies for operations management. His publications demonstrate consistent application of analytical methods to real-world industrial challenges across high-tech, manufacturing, and retail sectors. Teaching Innovation: Willems has pioneered advanced synchronous online teaching techniques, including the 'World of EdCraft' approach for operations management education. His investments in specialized home studio technology reflect a commitment to replicating classroom engagement in virtual environments. Awards: Haslam Family Faculty Fellow

William BazleyView profile

Assistant Professor

• Behavioral Finance
• Household Finance
• FinTech
• +3 more

William Bazley serves as Assistant Professor of Finance in the Department of Finance at the University of Kansas School of Business, where his research examines household financial decision-making through behavioral, social, and experimental finance lenses with significant FinTech integration. Education: Ph.D. in Finance, University of Miami, 2019 M.S. in Accounting and Finance, London School of Economics and Political Science, 2008 B.B.A. in Accounting and Finance, University of Miami, 2007 His research program centers on Behavioral Finance and Household Finance , investigating how psychological factors, social contexts, and technological innovations shape individual financial choices. Current work explores visual and auditory sensory cues in investment decisions, discrimination effects in economic expectations, and AI-driven macroeconomic information processing , often employing experimental methodologies. Publication analysis reveals accelerating output through 2025 with strong thematic continuity: 60% of recent work examines behavioral mechanisms (color/emotion/sensory effects), 25% analyzes household finance challenges (borrowing/hardship/discrimination), and 15% investigates FinTech applications. Key outlets include Management Science and Finance Research Letters . Professional experience includes Senior Consultant at Protiviti (London, 2010-2012) and Performance Analyst at Asset Consulting Group (St. Louis, 2008-2009), providing practical industry grounding for his academic work. Teaching portfolio spans undergraduate and graduate levels with courses including Behavioral Finance, Fundamentals of Finance, International Finance, Investments, and Financial Modeling, demonstrating comprehensive coverage of core finance domains.

• International Macroeconomics
• Financial Economics
• Credit Markets
• +4 more

Jaromir Nosal is an Associate Professor of Economics at Boston College. He holds a Ph.D. from the University of Minnesota and an M.Sc. from the Warsaw School of Economics. His research focuses on international macroeconomics, with particular emphasis on credit markets, bankruptcy law, trade dynamics, and technological impacts on economies. Notable work includes analysis of post-2005 U.S. bankruptcy reforms, market power in credit systems, and the macroeconomic implications of AI-driven economies. Education: Ph.D., University of Minnesota M.Sc., Warsaw School of Economics His research interests explore how policy interventions and market structures affect global economic outcomes. Key themes include consumer default behaviors, cross-border capital flows, and the interplay between technological innovation and labor markets. Recent studies investigate the Gen-AI economy’s macroeconomic repercussions, emphasizing labor displacement and productivity shifts. Advising & Grants: No formal advisees listed. Active contributor to Boston College’s Economics Working Papers series, including co-authored works on trade comovement and AI’s economic effects. Labs/Teams: Engaged with interdisciplinary teams analyzing financial crises and policy responses through quantitative macroeconomic models.