Japheth Jev is a Lecturer in Accounting and Finance at Newman University's Faculty of Arts, Sciences and Professional Studies. He holds a B.Sc (Hons) in Economics from the University of Maiduguri (Nigeria) and an M.Sc in Finance and Investment from Birmingham City University (Distinction). A chartered accountant, he belongs to CIMA UK, AICPA USA, and ICAN. Industry Experience: Former CFO in Oil & Gas, over a decade in finance roles Teaching: Develops curricula for management accounting, international finance, and taxation modules Research focuses on financial analytics, AI in finance, cryptocurrency, ESG reporting, and FinTech. He has presented at ICAN-UK workshops on AI applications and at ICAN Nigeria’s summit on tech-driven sustainability reporting. Awards: CISI Education Award 2022, Best Graduate in Finance 2022, Innovative CFO Award 2020 Admin: Maintains B.Sc Accounting & Finance program accreditation via collaborations with CIMA, ACCA, and ICAEW. Publications include studies on cryptocurrency volatility and equity market factor models.
Professor Dr. Daniel Streitz is a leading academic in economics, currently serving as a Professor of Economics at Friedrich Schiller University Jena since April 2021 and Senior Research Advisor at the Leibniz Institute for Economic Research Halle (IWH). He heads the research group Financial Intermediaries and the Real Economy at IWH since January 2023. His research focuses on financial intermediation, corporate financing, and monetary policy, with a strong emphasis on empirical analysis of credit markets and policy impacts. Streitz holds a PhD in Finance from Humboldt University Berlin (2015) and a Diploma in Economics from the University of Münster (2010). Prior roles include Assistant Professor at Copenhagen Business School (2018–2021) and postdoctoral research at Bonn University. He has also served as a Research Fellow at the Danish Finance Institute and consulted for E.CA Economics. His work bridges theoretical and applied economics, addressing topics such as credit supply shocks, green energy adoption barriers, and the environmental implications of corporate divestments. Streitz’s research has been published in top journals like the Review of Financial Studies and Financial Management , with a focus on policy-relevant insights. Key research themes include the role of financial institutions in economic activity, the interplay between monetary and fiscal policies, and the macroeconomic consequences of corporate debt structures. His recent projects explore how wealth influences green technology adoption and the global reallocation of pollutive assets post-Paris Agreement.
Barbara Rossi is an ICREA Research Professor at Universitat Pompeu Fabra, affiliated with the Barcelona School of Economics (BSE) and the Center for Research in International Economics (CREI). She holds roles as a Research Professor and serves as the editor of the Journal of Applied Econometrics. Her academic background includes a B.A. from Bologna University (1995) and a PhD in Economics from Princeton University (2001), focusing on long-horizon testing and predictive ability in international macroeconomics. Positions: ICREA Professor, BSE Research Professor, CREI Affiliated Professor Professional Roles: Editor of Journal of Applied Econometrics, CEPR Researcher Affiliations: Director of the International Association of Applied Econometrics, Fellow of the Econometric Society Her research focuses on time series econometrics, applied international finance, and macroeconomics, with emphasis on forecasting under model instabilities. Key contributions include techniques for evaluating forecast stability, Granger-causality tests, and analysis of monetary/fiscal policy impacts. Recent work addresses real interest rate trends, fiscal policy effectiveness in unstable environments, and unconventional monetary policy effects. Her publications span topics like exchange rate predictability, business cycle modeling, and forecast rationality. Awards include Fellowships from the Econometric Society and Royal Economic Society, along with major grants (ERC, NSF, Marie Curie). Grants funded research on macroeconomic uncertainty indices and policy evaluation frameworks. Barbara has advised at Duke University and held visiting roles at institutions including UC Berkeley and Norges Bank. Her work integrates theoretical econometrics with practical policy analysis, addressing global economic challenges through rigorous statistical methodologies.
Professor Hongping Tan is a tenured faculty member in the Accounting area at McGill University's Desautels Faculty of Management, where she holds the rank of Professor. Her office is located in the Bronfman Building at 1001 rue Sherbrooke Ouest, Montreal. Previously, she served as Associate Professor at York University (2014-2017) and University of Waterloo (2012-2014), and held assistant professor positions at University of Waterloo (2008-2012), UNBC (2006-2008), and Hubei University, China (1996-2001). Her research focuses on the intersection of accounting, finance, and data analytics, with core interests in Big Data & Machine Learning, Capital Markets, Corporate Finance, and International Finance. She investigates how financial analysts process information, the impact of corporate disclosure on capital markets, and the application of textual analysis in understanding market reactions. Her work frequently examines information asymmetry, cross-border investment patterns, and the behavioral aspects of financial reporting. Professor Tan's publication record (2008-2024) reveals a consistent trajectory from international accounting standards research toward advanced data analytics applications. Early work established her expertise in foreign analyst behavior and IFRS adoption effects, while recent publications incorporate climatic risk analysis and sophisticated textual analysis of corporate disclosures. Common methodological threads include large-scale dataset analysis, cross-country comparisons, and innovative approaches to measuring information processing in capital markets. Her scientific recognition includes: Best International Paper Award at EFA 2012 Boston CFA Best Paper Award at 2011 FMA Asian Conference Vernon Zimmerman Best Paper Award (2011) WatRISQ Research Award (2011-2012) Top 10 Distinguished Youth Faculty of Hubei University (1998) Queen’s Graduate Award and Mcleod-D.I. Fellowship Professor Tan actively supervises PhD candidates including Yaping Zheng, Peng Wang, and Ken Duan. Her research program is substantially funded through SSHRC grants, notably as Principal Investigator for the $147,966 Insight Grant (2022-2026) on textual analysis of analyst reports. She has secured over $500,000 in research funding since 2008, including multiple SSHRC Standard and Insight Grants, demonstrating sustained research excellence and methodological innovation in accounting and finance.
François Roueff is a Professor at TELECOM Paris, part of the Institut Polytechnique de Paris. He holds a position within the Laboratoire Traitement et Communication de l'Information (LTCI). His research focuses on statistical signal processing, time series analysis, stochastic processes, and mathematical statistics. He has been actively involved in supervising 14 PhD students, contributing to advancements in statistical methodologies and their applications in various domains. Key research interests include wavelet analysis, long-memory processes, and nonparametric estimation. His work spans theoretical contributions to applied problems such as energy spectrum reconstruction and network traffic analysis. Recent publications emphasize methodological advancements in machine learning, variational inference, and tensor factorization for multi-site energy management. Roueff’s articles demonstrate expertise in time series modeling, stochastic processes, and statistical theory. Notably, his work on fractional calculus and operator theory has expanded the understanding of Hilbert space-valued processes. He has collaborated on projects involving signal processing for nuclear spectroscopy and infrasound detection, showcasing interdisciplinary applications. His advising contributions include co-supervising prominent students like Tepmony Sim (2016) and Amaury Durand (2022). Research grants and collaborations have enabled advancements in statistical methodologies for modern data analysis challenges.
Tong Wang is an Assistant Professor of Finance at the University of Oklahoma's Price College of Business. He holds a Ph.D. in Finance and Business Economics from the University of Southern California's Marshall School of Business. His teaching focuses on investments and derivative securities at both undergraduate and graduate levels. His research interests center on financial derivatives, option pricing, and market liquidity. Recent work explores topics such as return extrapolation effects, volatility hedging strategies, and the causal impact of option trading on stock pricing. Published articles span 2012–2024, covering derivative markets, volatility modeling, and market microstructure. Notable themes include forecasting stock returns via options, downside risk premiums, and index reversal dynamics. No scientific awards are explicitly mentioned in the text. Advising and grant activities are not detailed, though his teaching and research roles imply active involvement in academic mentorship.
Dr. Maria Kalli is a Senior Lecturer in Statistics at the Department of Mathematics, King's College London, since August 2021. Previously, she held the position of Senior Lecturer in Statistics at the University of Kent and worked as an investment banker at Goldman Sachs in New York. She holds a BSc in Econometrics and Mathematical Economics (LSE), an MBA in Financial Engineering (NYU Stern), an MSc in Mathematical Statistics (University of Michigan), and a PhD in Statistics (University of Kent). She is a Fulbright Scholar and Senior Fellow of the UK Higher Education Academy. Her research focuses on Bayesian Nonparametric Methods, Bayesian Regression, and Time Series Modelling in Macroeconomics and Finance, with applications in financial econometrics and high-dimensional data analysis. She serves as the PhD Admissions Tutor for the Statistics group. Her work emphasizes methodological advances in Bayesian statistics, including MCMC techniques, shrinkage priors, and volatility models. Notable contributions include the development of Bayesian nonparametric vector autoregressive models and flexible dependence frameworks for financial time series. Recent research explores market liquidity effects and predictive distributions in financial markets. Education: BSc Econometrics and Mathematical Economics, London School of Economics MBA Financial Engineering, New York University Stern School of Business MSc Mathematical Statistics, University of Michigan PhD Statistics, University of Kent Scientific Awards: Fulbright Scholar Senior Fellow of the UK Higher Education Academy Advising & Grants: While specific grants are not detailed, her research has been supported through institutional funding and collaborative projects. She actively mentors PhD candidates in Bayesian statistical methodologies and time series analysis. Labs/Teams: She contributes to King's Statistics group, focusing on time series analysis, Bayesian computation, and econometric modelling.
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.
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 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.
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.
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.
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 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 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.
