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Arthur Matsuo Yamashita Rios De SousaView profile

Assistant Professor

• Applied Mathematics
• Statistical Physics
• Probability Theory
• +7 more

Arthur Matsuo Yamashita Rios De Sousa is an Assistant Professor in the School of Computing at the Tokyo Institute of Technology, where he conducts interdisciplinary research bridging applied mathematics, statistical physics, and data science. His work focuses on the modeling and analysis of complex systems through stochastic processes, time series analysis, and network science. His primary research interests include: Applied Mathematics and Probability Theory Statistical Physics and Econophysics Complex Systems and Network Science Time Series Analysis and Forecasting Symbolic Dynamics and Entropy-Based Methods Power-Law and Heavy-Tailed Distributions His recent publications demonstrate a consistent focus on developing quantitative methods for analyzing financial time series, sales data, and other real-world complex systems. The articles span topics such as volatility modeling, network-based market analysis, multiscale entropy, and symbolic dynamics, reflecting a strong integration of theoretical physics and practical data science applications. Notable trends in his research include the use of entropy measures for regime detection, modeling of heavy-tailed phenomena in economics, and the application of complex networks to multivariate systems. These efforts contribute to both fundamental understanding and practical tools in econophysics and data-driven science. There are currently no listed scientific awards or honors in the provided text. Dr. Yamashita advises students in computational and quantitative research, particularly in areas related to data analysis of complex systems. While specific grant funding is not mentioned, his sustained publication record suggests active research support. He likely contributes to collaborative projects involving financial data modeling, nonlinear dynamics, and interdisciplinary applications of statistical physics. He is involved in academic events such as the Econophysics Colloquium and workshops at the Complexity Science Hub, indicating participation in international research networks focused on complex systems science.

• Urban Climate
• Urban Meteorology
• Surface Energy Balance
• +5 more

Professor Sue Grimmond is a leading urban climate scientist at King's College London's Department of Geography within the Faculty of Social Science & Public Policy. With over 200 publications, she directs significant research on urban atmospheric processes, energy balance, and climate modeling, contributing to major international projects including Urban-PLUMBER and urbisphere. Her work bridges meteorology, environmental physics, and urban studies to address critical challenges of urban climate change and sustainability. Professor Grimmond's research focuses on the complex interactions between urban environments and atmospheric processes, with particular expertise in surface energy balance, urban boundary layer dynamics, and anthropogenic heat emissions. Her work employs advanced modeling techniques, field measurements, and remote sensing to quantify urban climate effects across multiple spatial and temporal scales. She has developed influential frameworks for understanding urban heat islands, building energy performance in cities, and the impacts of urban form on local climate. Her recent publications (2023-2025) demonstrate consistent leadership in urban climate science, with focus areas including urban energy modeling, boundary layer meteorology, and climate adaptation strategies. Analysis of her work shows strong emphasis on multi-scale urban processes, integration of physical and socio-economic factors in urban climate modeling, and development of practical tools for urban climate assessment and mitigation. Professor Grimmond leads the Urban Multi-scale Environmental Predictor (UMEP) tool development and contributes significantly to international urban climate initiatives. She has secured substantial research funding for projects examining urban climate resilience, energy systems, and atmospheric interactions in cities worldwide, with particular emphasis on London as a living laboratory for urban climate research. Her research group maintains extensive field measurement campaigns across multiple cities, utilizing advanced instrumentation including lidar-ceilometers, scintillometers, and urban flux towers to capture detailed urban atmospheric processes. She actively collaborates with meteorological services, urban planners, and policymakers to translate research findings into practical urban climate solutions.

• Monetary Economics
• Financial Economics
• Financial Institutions
• +7 more

Sérgio Miguel Chilra Lagoa is an Associate Professor with Tenure in the Department of Political Economy at the School of Social Sciences and Humanities (ECSH), Iscte – Instituto Universitário de Lisboa. He is also an integrated researcher at DINÂMIA'CET-Iscte, where he contributes to research on socioeconomic change and territory, particularly under the thematic line of Governance, Economy, and Citizenship. He currently serves as Director of the Master’s in Monetary and Financial Economics and has previously co-directed the undergraduate economics program (2011–2016). He is a member of the board of the Institute of Public and Social Policies (IPPS-Iscte) since 2023 and was part of the scientific committee of Dinâmia'Cet-IUL from 2020 to 2022. PhD in Economics, University of Leicester (2010) Master’s in Economics, NOVA University of Lisbon (2004) Bachelor’s in Economics, ISEG – Higher Institute of Economics and Management (1998) Sérgio Lagoa’s research focuses on monetary and financial economics, with a strong emphasis on financial institutions, labor markets, financialization, and economic policy. His work explores macroeconomic dynamics in the Eurozone, sovereign debt crises, inflation differentials, and the social implications of financial systems. He frequently investigates how economic policies and financial structures affect households, firms, and national economies, especially in peripheral European countries like Portugal. His recent publications reflect a consistent engagement with themes such as financial contagion, household financial behavior, compensation policies, and public debt dynamics. He employs both empirical econometric methods and theoretical frameworks to analyze financial and labor market phenomena, often using European and Portuguese data. His work appears in journals like Empirica , International Journal of Human Resource Management , Journal of Post Keynesian Economics , and International Review of Financial Analysis , indicating a strong interdisciplinary reach across economics, finance, and social policy. Sérgio Lagoa has not been publicly associated with any scientific awards or prizes in the provided sources. He has supervised or co-supervised multiple research projects and publications, often collaborating with researchers such as F. Suleman, R. Barradas, E. Leão, and H. Lopes. While specific PhD or Master’s students are not listed, his role as a Master’s program director and frequent co-author suggests active involvement in academic mentoring. He has not received any grant details in the text, but his participation in institutional research centers implies involvement in funded research activities. Lagoa is affiliated with DINÂMIA'CET-Iscte, a research center focused on socioeconomic change and territorial dynamics, and contributes to the academic mission of IPS-Iscte. His research integrates policy-relevant analysis with academic rigor, often addressing contemporary challenges such as post-crisis recovery, wage stagnation, and financial instability.

Jinfei ShengView profile

Assistant Professor

• Empirical Asset Pricing
• Behavioral Finance
• FinTech
• +7 more

Jinfei Sheng is an Assistant Professor of Finance at the Merage School of Business, University of California, Irvine, where he joined in July 2018. He holds a PhD in Finance from the University of British Columbia, an MS from Texas A&M University, and BA and MA degrees from Nankai University. His research is centered on empirical asset pricing, behavioral finance, and FinTech, with a focus on information processing in markets using big data and machine learning. Education: PhD, University of British Columbia MS, Texas A&M University BA and MA, Nankai University His research interests include empirical asset pricing, behavioral finance, FinTech, textual analysis, AI in finance, and labor finance. He investigates how various forms of information—such as macroeconomic news, earnings reports, online reviews, and cryptocurrency whitepapers—influence investor behavior and asset prices. His work bridges traditional finance with modern data science techniques. The most recent publications highlight trends in political polarization in markets, the performance of high-fee mutual funds, the impact of generative AI on asset management, and the role of geopolitical risk. These articles demonstrate a consistent focus on information asymmetry, investor behavior, and the application of advanced analytics in financial economics. Scientific Awards: XiYue Best Paper Award at CICF AMTD FinTech Centre Prize, Asian Finance Association Conference Jinfei Sheng has advised several working papers and research projects, though no formal PhD or Master’s students are listed. He is actively involved in academic service as a reviewer for top finance journals and conferences. At UCI, he created a new FinTech course and serves as founding faculty advisor for the Anteater Crypto Association and Irvine FinTech Association. He has won teaching awards at both UCI and UBC. His research has been presented at leading academic venues and financial institutions, including the American Finance Association, NBER, Citadel, and BlackRock. He leads research on datasets such as the Macroeconomic Attention Index (MAI) and the Geopolitical Risk Index (GRI), which are publicly shared for academic use. His work in progress includes studies on mutual fund disclosures, FOMC announcements, and investor attention.

Soon RyooView profile

Professor

• Macroeconomics
• Post-Keynesian Economics
• Income and Wealth Inequality
• +7 more

Soon Ryoo is a Professor in the Finance and Economics Department at the Robert B. Willumstad School of Business, Adelphi University. He earned his Ph.D. in Economics from the University of Massachusetts Amherst in 2009 and has since established himself as a leading scholar in macroeconomic theory, particularly within the Post-Keynesian and Minskyan traditions. His research focuses on income and wealth inequality, financial instability, fiscal and monetary policy, and the macroeconomic implications of financialization. Ph.D. in Economics, University of Massachusetts Amherst (2009) Ryoo's research interests center on demand-led growth, endogenous financial fragility, and the dynamics of inequality in capitalist economies. He develops theoretical models to explore how financial structures, distributional changes, and policy rules affect macroeconomic stability. His work often integrates insights from Kaldor, Minsky, and Keynes to analyze boom-bust cycles, the paradox of debt, and the role of public policy in maintaining full employment. His recent publications reveal a consistent focus on macroeconomic modeling with an emphasis on financial instability and inequality. He frequently employs stock-flow consistent models, overlapping generations frameworks, and behavioral assumptions to analyze long-run trends. His work shows a strong theoretical orientation, often co-authored with Peter Skott, and appears in top heterodox economics journals such as Cambridge Journal of Economics , Metroeconomica , and Review of Keynesian Economics . Advisory Board, Metroeconomica (2018–present) Editorial Board, Korean Economic Review (2016–2020) Editorial Board, Review of Social and Economic Studies (2015–2019) Ryoo has served as a peer reviewer for numerous prestigious journals including Cambridge Journal of Economics , Journal of Economic Behavior and Organization , and Journal of Post Keynesian Economics . While no formal list of advisees is provided, his extensive collaboration and editorial roles suggest active mentorship and academic leadership. He has presented his research widely at international conferences and invited workshops, including at Wesleyan, Tohoku, and Yonsei Universities. Ryoo is affiliated with research networks focused on macroeconomics and macroeconomic policies and has contributed to workshops on analytical political economy. His ongoing research continues to explore the interplay between financialization, inequality, and macroeconomic instability, positioning him at the forefront of contemporary heterodox economic thought.

Matheus R. GrasselliView profile

Professor

• Financial Mathematics
• Economic Modeling
• Systemic Risk
• +4 more

Matheus R. Grasselli is a Professor of Financial Mathematics at McMaster University's Department of Mathematics and Statistics. He currently serves as Deputy Provost at McMaster University, a position he began in July 2022. Additionally, he is a co-leader of Systemic Risk Analytics at the Fields Institute, where he previously served as Deputy Director from 2012 to 2016 and Director of the Centre for Financial Industries from 2017 to 2020. Grasselli's research interests span Financial Mathematics, Economic Modeling, Systemic Risk, Climate Economics, and Macroeconomics. His work combines mathematical rigor with practical applications to complex financial and economic systems. He has developed sophisticated models for understanding business cycles, financial stability, and the intersection between climate science and economics. His recent publications show a strong trend toward interdisciplinary research that bridges finance, economics, and climate science. Many of his 2020-2022 papers focus on the economic impacts of the COVID-19 pandemic, climate change economics, and the evolving landscape of monetary policy. His work frequently employs agent-based computational models and stock-flow consistent macroeconomic frameworks to analyze complex economic phenomena. Grasselli has led significant research initiatives including the PhiMac group at McMaster University and has been actively involved with the Fields Institute. His work has practical implications for central banking, financial regulation, and climate policy. He has developed numerous computational models with publicly available code implementations in MATLAB, Python, and R, demonstrating his commitment to open scientific practice.

• Accounting
• Finance
• Sustainability Reporting
• +3 more

Dr. Lecturer Gökhan Kılıç serves as a faculty member in the Accounting and Financial Management Program at Başkent University, Ankara, Turkey. His academic foundation is entirely rooted in the same institution, where he earned all three of his degrees in business and finance disciplines. His educational qualifications include: PhD in Accounting and Finance (2022) Master's Degree in Accounting and Finance (2017) Bachelor's Degree in Business Administration (2015) Kılıç's research demonstrates deep engagement with contemporary financial challenges , particularly the intersection of accounting practices , sustainable finance , and emerging technologies . His work consistently focuses on Turkish market contexts, analyzing BIST-listed companies, banking sector dynamics, and regulatory impacts. Key thematic threads include ESG integration, blockchain applications in financial systems, and traditional accounting methodologies adapted to modern economic pressures. Analysis of his 15 most recent publications (2021-2025) reveals a pronounced shift toward sustainability-driven research, with 60% of recent work examining ESG factors, green technology adoption, and sustainable insurance models. Simultaneously, he maintains rigorous investigation into core accounting domains like material flow cost accounting and auditing standards, often contextualized within Turkey's unique financial landscape. As an educator, Kılıç teaches across the accounting and finance curriculum, covering advanced technical subjects from cost accounting to financial statement analysis, with recent integration of sustainability and blockchain topics reflecting his research evolution.

Dirk EhntsView profile

Lecturer

• Modern Monetary Theory (MMT)
• Macroeconomics
• Monetary Policy
• +7 more

Dr. Dirk Ehnts is a Lecturer in Economics at Bard College Berlin, with extensive experience as a visiting academic across European institutions. His affiliations include: Parliamentary Assistant at the European Parliament (2017-present) Visiting Professor at European University of Flensburg Visiting Professor of Latin American Macroeconomics at Free University of Berlin Visiting Lecturer in Economics at Berlin School of Economics and Law (2012-2014) As board spokesperson of the Pufendorf Society Berlin, Ehnts specializes in monetary theory and macroeconomics, particularly focusing on: Balance sheet approaches to economic analysis Modern Monetary Theory (MMT) applications Monetary-fiscal policy interactions International macroeconomic dynamics Non-ergodic economic systems Stock-flow consistent modeling His publications demonstrate a consistent focus on monetary systems, with key themes including: MMT implementation challenges Currency sovereignty analysis Financial system sustainability Historical economic theory integration Reflexivity applications in economics Empirical validation of monetary frameworks Ehnts' methodological expertise includes: Balance sheet accounting in economics Dynamic macroeconomic modeling Comparative monetary system analysis Critical assessment of equilibrium models Empirical validation of economic theories Reflexivity-based economic frameworks

Oktay ÖZDENView profile

Researcher

• Income Conflict Theory of Inflation
• Incomes Policy
• Heterodox Monetary Policy
• +3 more

Dr. Oktay ÖZDEN is a full-time Researcher at Istanbul 29 Mayıs University, specializing in heterodox economics. He earned his Bachelor's degree from Istanbul Kemerburgaz University (2017), Master's in Economics from Marmara University (2020), and completed his doctorate at Kadir Has University (2025) with research on post-COVID inflation and income distribution in the UK economy. Education: Istanbul Kemerburgaz University (2017) Marmara University (2020) Kadir Has University (2025) His research focuses on the income conflict theory of inflation, incomes policy, and Stock-Flow Consistent (SFC) modeling. Recent publications analyze post-COVID macroeconomic dynamics, heterodox monetary policy, and income inequality. He contributes to journals like the Review of Keynesian Economics and serves as a reviewer for WoS-indexed international journals. Scientific contributions include: Award-winning presentations at national/international congresses Empirical validation of endogenous money theory in Türkiye Development of two-household SFC models for policy analysis

Sandro C. AndradeView profile

Associate Professor

• Empirical Asset Pricing
• Sovereign Debt and Default
• Financial Markets and Institutions
• +3 more

Sandro C. Andrade is an Associate Professor of Finance at the University of Miami’s Miami Herbert Business School . His research lies at the intersection of empirical asset pricing, sovereign debt, and financial econometrics, with a focus on understanding how macroeconomic risks, information frictions, and regulatory changes affect global financial markets. Research Interests Sovereign Debt & Default: Quantifying default costs and risk premia across countries. Asset Pricing Anomalies: Seasonal effects, bubbles, and information-driven mispricing. Financial Econometrics: Semi-parametric methods for high-frequency and point-process data. Market Microstructure: Effects of central-bank FX interventions and derivatives trading. Regulatory Impact: How legislation such as SOX alters corporate transparency and debt costs. Publication Trends Across 17 peer-reviewed articles (2010-2023), Andrade consistently blends rigorous theory with large-scale empirical tests. His sovereign-risk studies exploit cross-country bond and equity data, while microstructure work leverages high-frequency Brazilian FX data. Recent papers integrate machine-learning techniques to model complex temporal point processes in finance. Scientific Awards & Honors No specific awards or fellowships are listed in the provided text. Advising & Grants No explicit information on current PhD students, master’s advisees, or funded grants is available in the source material. Labs & Teams No dedicated laboratory or research group is mentioned.

• Integer Programming
• Operations Research
• Cutting and Packing
• +5 more

José Manuel Vasconcelos Valério Carvalho is a Full Professor at the School of Engineering, University of Minho, and Senior Researcher at Algoritmi Research Center's SEOR R&D Group. His academic career spans decades with significant contributions to combinatorial optimization and operations research. His educational background includes: PhD in Production Engineering (Operational Research major) from University of Minho MSc in Industrial Engineering and Operations Research from Virginia Polytechnic Institute (Fulbright scholar) Research focuses on large-scale integer programming applications in cutting/packing, network design, and operations planning. He develops exact and heuristic algorithms for complex optimization problems, frequently integrating domains like bin packing with vehicle routing using arc-flow formulations and column generation. Recent publications (2016-2025) reveal strong trends toward integrated logistics solutions, emphasizing temporal aspects, multi-trip scenarios, and combined routing/packing challenges. His methodologies consistently yield robust formulations for real-world supply chain applications. He has supervised 7 postdoctoral and 12 PhD students, many achieving award-winning work. Research leadership includes coordination of FCT-funded national projects and European project workpackages. As core member of Algoritmi's SEOR Group and former coordinator of the SEOOR Research Line (consistently rated 'Excellent' by international panels), he contributes to Portugal's leading operations research team.

Philip ValtaView profile

Professor

• Corporate Finance
• Financial Economics
• Debt Markets
• +4 more

Philip Valta is Professor of Finance and Director of the Institute for Financial Management at the University of Bern, Switzerland. He maintains an active research program in corporate finance with significant contributions to understanding debt markets, strategic default behavior, and the relationship between product market competition and financial decisions. His work has been published in premier finance journals including the Journal of Finance, Journal of Financial Economics, and Management Science. Valta's research spans several interconnected domains in finance. His early work established how product market competition affects corporate financing costs and debt structures across different institutional environments. He extended this research to examine strategic default behavior and its implications for equity risk across international markets. A substantial portion of his scholarship investigates debt structure choices, revealing how firms select between bonds and bank loans based on credit supply conditions and competitive pressures. More recently, he has expanded into political finance, examining corporate political contributions and self-funding of political campaigns. His publication record shows consistent high-impact research from 2008 through 2025, with recent work focusing on contemporary issues such as zombie firms, offshoring effects on firm boundaries, and valuation mistakes in mergers. Valta frequently collaborates with leading finance scholars including François Derrien, Laurent Frésard, and Erwan Morellec, maintaining strong connections within the international finance research community. His research combines theoretical modeling with rigorous empirical analysis using both U.S. and international datasets to test hypotheses across diverse institutional settings.

Yanshuang LiView profile

Associate Professor

• Financial Econometrics
• Risk Spillovers
• Stock Markets
• +5 more

Yanshuang Li is an Associate Professor in the Department of Finance at Dongbei University of Finance and Economics in Dalian, China. Her research examines risk transmission mechanisms in global financial systems using advanced econometric frameworks. Research Focus: Dr. Li's work spans: Financial econometrics and volatility modeling Cross-market risk spillovers during crises (pandemics, conflicts, climate policy shifts) Network analysis of interdependencies between commodities, equities, and emerging assets Behavioral aspects of market panic and investor sentiment Her publications demonstrate consistent focus on how systemic shocks propagate through stock, commodity, and renewable energy markets. Publication Trends: Recent articles (2023-2025) reveal: Growing emphasis on climate economics and AI-driven market analysis Methodological innovation in quantile-based connectedness frameworks Comparative studies of conventional and Islamic financial systems Empirical investigations into vaccination policies, sanctions, and green energy transitions

Yii Kwang JingView profile

Senior Lecturer

• Financial Economics
• Energy Economics
• Behavioural Finance
• +2 more

Dr. Yii Kwang Jing serves as Senior Lecturer and Associate Dean (Accreditation and Curriculum Enhancement) at Swinburne University of Technology Sarawak Campus's Faculty of Business, Design and Arts. With a PhD in Financial Economics from Universiti Malaysia Sabah, he integrates academic leadership with active research and teaching in finance and economics. His educational qualifications include a Bachelor of Education (Honours), MBA, Graduate Certificate in Learning and Teaching (Swinburne), and Master of Clinical Addiction and Professional Development Award (University of Melbourne). These diverse credentials underpin his interdisciplinary approach to financial education and research. Dr. Yii's research spans Financial Economics, Energy Economics, and Behavioural Finance, with emphasis on cryptocurrency risk, blockchain applications, and sustainable finance. He employs advanced econometric methods including Structural Equation Modeling to analyze market behaviors and policy impacts, consistently targeting real-world economic and social applications through high-impact publications. His publication record shows strong momentum with multiple 2025 journal articles and book chapters on cryptocurrency portfolios, FDI determinants, and sustainable seafood consumption. Recent work increasingly intersects finance with environmental sustainability and digital innovation, reflecting evolving research priorities in green finance and AI-driven solutions. 2025: Emerald Top Downloaded Articles (Journal of Responsible Production and Consumption) 2024: Vice-Chancellor’s Future-Focused Award (Highly Commended), WILEY Top Cited Article, Multiple UNIMAS InTEX Awards 2023-2022: Teaching Excellence Award, Community Engagement Award, Gold Awards at UNIMAS InTEX 2021-2015: Best Paper/Presenter Awards at international conferences Dr. Yii actively mentors five graduate students across PhD and Master's programs while securing competitive grants including FRGS-funded macroeconomic transition risk research and Swinburne's AI sustainability project. His industry consultancy with UNICEF, BYG Group, and government agencies demonstrates strong academic-practitioner linkages. He founded the Bursa Young Investor Club to bridge classroom learning with financial industry exposure.

Anna ScherbinaView profile

Professor

• Behavioral Finance
• Asset Pricing
• Real Estate
• +3 more

Anna Scherbina is a Professor of Finance at Brandeis International Business School, holding the Janet L. Yellen Distinguished Chair in Business. She also serves as a Nonresident Senior Scholar at the American Enterprise Institute and Associate Editor at the Journal of Banking and Finance. Previously, she was an associate professor at UC Davis, assistant professor at Harvard Business School, and senior economist at the White House's Council of Economic Advisers from 2017-2019. Education: Ph.D. in Finance, Kellogg Graduate School of Management at Northwestern University B.S., New York University Scherbina specializes in behavioral finance, asset pricing, cybersecurity economics, and real estate. Her research addresses why sophisticated mutual fund managers hold onto poor-performing stocks, how investor disagreement affects stock returns, the economic impact of cyber activity, and historical real estate market dynamics. Her work consistently bridges theoretical finance with practical policy applications. Analysis of Scherbina's publications reveals a strategic expansion from traditional finance topics to contemporary economic challenges. Her cybersecurity research has provided groundbreaking evidence on how cyber incidents damage firm value, while her pandemic economics work has offered rigorous cost-benefit analyses of lockdown policies that informed national discussions during the COVID-19 crisis. Scientific Awards: Research Grant from the Institute for Quantitative Research in Finance, Q Group (2013) Jack Treynor Prize, Q Group (2018) Scherbina served as MAIEF Program Director at Brandeis and has advised numerous graduate students. Her research has received funding from the Institute for Quantitative Research in Finance and informed significant policy work, including the White House report on the economic cost of malicious cyber activity. She teaches Investments, Corporate Finance, Real Estate, PhD Asset Pricing, and Cybersecurity courses, connecting classroom learning with real-world economic challenges.