جست‌وجوی استاد و پژوهشگر

Dongmei Chenمشاهده پروفایل

استاد

• Geomatics
• Environmental Science
• GIS Applications
• +۴ مورد دیگر

Dr. Dongmei Chen is a Professor in the Department of Geography and Planning at Queen's University, affiliated with the Faculty of Arts and Science. She holds cross appointments in the School of Environmental Studies and the Beaty Water Research Centre. Her research focuses on understanding human-environment interactions through GIS and remote sensing, with specialties in land use modeling, climate change impacts, and spatial data analysis. Education: PhD in Geography (2001, San Diego State University/UCSB); M.Sc. in GIS/Remote Sensing (Chinese Academy of Sciences); B.Sc. in Geography (Peking University). Pre-Queen's career included work as a GIS product specialist at ESRI. Research interests include geomatics, environmental science, and applying machine learning to remote sensing challenges. Recent work addresses flood susceptibility modeling, urban sprawl analysis, and spatial-temporal disease risk. Her interdisciplinary approach bridges geospatial technologies with environmental and social science. Active in research centers like LaGISA, she explores topics like air pollution monitoring and spatial data privacy. Grants and advising are integral to her role, though specific details are not detailed here. Collaborations span global contexts, including Brazil, Thailand, and China.

HASAN GÜNGÖRمشاهده پروفایل

استاد

• Environmental Economics
• Financial Economics
• Development Economics
• +۴ مورد دیگر

Prof. Dr. Hasan Gungor is a Professor of Economics at the Faculty of Business & Economics, Eastern Mediterranean University. He holds a PhD in Banking from Marmara University, an MBA in Business Administration from Eastern Mediterranean University, and a BA in Business Administration from the same institution. His research focuses on environmental economics, financial development, energy policy, and macroeconomic dynamics with a particular emphasis on emerging markets and policy uncertainty effects. His academic contributions include over 30 supervised theses, advising PhD and Master's students on topics such as renewable energy impacts, economic policy uncertainty, and sustainable development. He has published extensively in peer-reviewed journals, addressing global challenges like carbon neutrality, cryptocurrency volatility, and climate policy efficacy. His work often integrates advanced econometric techniques such as nonlinear ARDL models and wavelet coherence analysis. Education: 1994–1999: PhD in Banking, Marmara University 1992–1994: MBA in Business Administration, Eastern Mediterranean University 1986–1992: BA in Business Administration, Eastern Mediterranean University Research interests span environmental sustainability, financial market dynamics, and the interplay between globalization and economic growth. His recent articles highlight the role of policy uncertainty in shaping energy markets, cryptocurrency returns, and carbon emissions in G7 and BRICS economies. He actively contributes to policy discussions on sustainable development and financial stability in emerging markets.

Rickard Sandbergمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Data Analytics
• +۹ مورد دیگر

Rickard Sandberg is an **Associate Professor** and **Center Director** at the **Department of Entrepreneurship, Innovation and Technology** at the **Stockholm School of Economics (SSE)**. His work bridges econometrics, statistics, and business analytics with a focus on time series analysis, machine learning applications, and sustainability measurement. **Research Interests**: Machine Learning, Deep Learning, Data Analytics, Predictive Analytics, Forecasting, Nonlinear Time Series Modelling, Structural Economic Modelling, Econometrics, and Measuring Sustainability. His research emphasizes theoretical advancements in statistical methods and their practical application in economic and business contexts. **Key Contributions**: His publications explore unit root testing in nonlinear models, ESG rating challenges, and the impact of energy policies. Notable works include analyzing Scandinavian unemployment trends, cartel damage calculations, and Nordic companies' data-driven transformations. His 2023 paper on ESG ratings proposes solutions for consistency in ambiguous evaluation systems. **Teaching & Outreach**: Teaches advanced econometric time series courses (e.g., MSc 5314) and actively engages in international academic collaborations through presentations in Japan and Brazil. His work on AI for sustainability highlights interdisciplinary outreach efforts. **Labs/Teams**: Leads research initiatives within SSE’s Department, focusing on entrepreneurship and innovation through data and economic modeling frameworks.

Giuliano Bianchiمشاهده پروفایل

دانشیار

• Law and Economics
• Corporate Governance
• Forecasting
• +۳ مورد دیگر

Giuliano Bianchi is an Associate Professor of Economics at EHL Hospitality Business School, specializing in law and economics, corporate governance, and forecasting. He holds a PhD in Economics from the University of Bologna, a Master's in Economics from the University of Edinburgh, and a Master in Law from the University of Fribourg. His research focuses on hospitality economics, asset-light business models, and macroeconomic forecasting in the Swiss hotel sector. Education: PhD in Economics, University of Bologna (Italy) Master's Degree in Economics, University of Edinburgh (UK) Bachelor's in Economics, University of Lugano (Switzerland) Bachelor in Law (BLaw), UniDistance Master in Law (MLaw), University of Fribourg His research interests include empirical analysis of hotel industry dynamics, regulatory frameworks affecting hospitality operations, and corporate governance mechanisms. He pioneered the Swiss Hospitality Macroeconomics Forecasting Index (2018-2020), a project funded by HES-SO to develop demand forecasting tools for Swiss hotels. Recent work explores legal aspects of hotel rate parity, brand affiliation impacts on asset values, and the socio-economic implications of hospitality employment. Awards: Wertheim Fellowship, Harvard Law School Bologna University Economics Department Scholarship Marco Polo Fellowship Program Dr. Bianchi serves on EHL's academic board and teaches Macroeconomics and Microeconomics in the BSc International Hospitality Management program. His research has been published in Tourism Economics, Journal of Property Research, and Applied Economics.

• Expectation Formation
• Financial Econometrics
• Financial Risk Modeling
• +۳ مورد دیگر

Prof. Christian Conrad is a Professor of Econometrics at the Department of Economics, Heidelberg University. He also serves as a member of the HEiKA Strategic Board, Steering Board Member of the HKMetrics Network, and holds affiliations with institutions like the Centre for European Economic Research (ZEW) and the Rimini Centre for Economic Analysis. His research focuses on Expectation Formation, Financial Econometrics, and Volatility Modeling, with notable contributions to understanding inflation dynamics, financial risk, and macroeconomic uncertainty. Education: PhD in Economics (Dr. rer. pol.), University of Mannheim (2002–2006) MSc in Econometrics and Economics, University of York (2000–2001) Diplom-Volkswirt (Economics Degree), Heidelberg University (1997–2002) Research Interests: Prof. Conrad’s work spans Expectation Formation, Financial Econometrics, and Macroeconometrics. He develops advanced methodologies like the MF2-GARCH model to analyze volatility cycles and explores how household information and experience influence inflation expectations. His research also addresses cryptocurrency volatility, political communication impacts on markets, and the link between inflation uncertainty and macroeconomic performance. Key Contributions: His articles include seminal works on GARCH model extensions, volatility forecasting techniques, and the role of uncertainty in financial markets. Recent studies include analyzing ECB inflation projections and their implications for policy credibility. Awards & Affiliations: Senior Fellow, Rimini Centre for Economic Analysis (2020–present) External Fellow, Center for European Studies (2019–present) Associated Research Professor, KOF Swiss Economic Institute (2011–present) Labs & Teams: He leads the Research Group on Macroeconomics & Financial Econometrics at Heidelberg University, focusing on empirical economic research and policy-relevant studies in financial markets and macroeconomic dynamics.

• Environmental and Resource Economics
• Sustainable Fisheries Management
• Water Resource Management
• +۵ مورد دیگر

Joshua Abbott is a Professor and Director of Environmental and Resource Economics at Arizona State University's School of Sustainability. His research focuses on equitable and sustainable governance of natural resources amid environmental change, employing economic modeling and interdisciplinary collaboration. Key areas include sustainable fisheries policy, blue economies, water resource management in arid regions, and valuation of natural capital. Abbott has contributed to NOAA Fisheries and US Fishery Management Council initiatives, emphasizing ecosystem and community resilience. Education : Ph.D. in Agricultural and Resource Economics (Environmental & Resource Economics & Econometrics), University of California, Davis M.A. in Economics, University of Washington, Seattle B.B.A. in Economics, Baylor University Research Interests : Sustainable fisheries governance, water resource valuation, ecological-economic couplings, policy innovation for natural resource management, and green accounting frameworks. Professional Roles : Editor in Chief, Marine Resource Economics Former Co-Editor, Journal of the Association of Environmental and Resource Economists Founding member of the Economics for Sustainability lab group Teaching : Courses include Natural Resource Economics, Statistical Methods, Sustainable Seafood, and the Graduate Certificate in Environmental and Sustainability Economics. His work bridges economic theory and practical policy, addressing challenges such as climate adaptation, biodiversity outcomes, and urban water scarcity. Abbott collaborates with institutions like the Center for Biodiversity Outcomes and the Global Futures Scientists and Scholars network.

Matthew Pecencoمشاهده پروفایل

استادیار

• Labor Economics
• Criminal Justice System
• Education Policy
• +۳ مورد دیگر

Matthew Pecenco is an Orlando Bravo Assistant Professor of Economics at Brown University, specializing in labor economics with a focus on criminal justice system impacts, education policy, and development economics. His research employs experimental and quasi-experimental methods to analyze topics such as incarceration effects, peer preferences in education, and entrepreneurship drivers. He holds a PhD from UC Berkeley (2020). Research Interests: Criminal justice system policy evaluation Educational market dynamics and peer effects Climate change's labor market implications Entrepreneurship through labor experience His recent work explores incarceration's socioeconomic consequences, workplace discrimination in digital markets, and climate adaptation strategies for labor productivity. Pecenco's methodologies emphasize causal inference and policy relevance.

• Bayesian statistics
• High-dimensional inference
• Statistical machine learning
• +۳ مورد دیگر

Mai Dao is an Assistant Professor in the Department of Mathematics, Statistics, and Physics at Wichita State University's Fairmount College of Liberal Arts and Sciences. She earned her Ph.D. from Texas Tech University under the mentorship of Professors Min Wang and Souparno Ghosh. Research Focus: Bayesian statistics, high-dimensional inference, and statistical machine learning Contact: mai.dao@wichita.edu | Jabara Hall 319 | Office hours: Tue & Thu 3:30-4:30 p.m. Research Interests include: Bayesian quantile regression High-dimensional data analysis Statistical machine learning algorithms Variable selection techniques Computational statistics Econometric modeling Recent Article Trends : Mai Dao's publications (2021-2025) emphasize Bayesian quantile regression methods, focusing on variable selection, high-dimensional inference, and computational approaches. Key themes include handling non-ignorable missing data, macroeconomic stress testing, and bridge-randomized regression techniques. Academic Expertise spans: Bayesian statistical modeling High-dimensional inference Machine learning applications Quantile regression methodologies Statistical computing

Thomas Le Barbanchonمشاهده پروفایل

استاد

• Labor Economics
• Public Finance
• Econometrics
• +۵ مورد دیگر

Thomas Le Barbanchon is a Full Professor of Economics at Bocconi University since 2025 and holds the Rodolfo Debenedetti Chair in Labor Economics. He received his PhD from Ecole Polytechnique (CREST-ENSAE) in 2012 and has been affiliated with institutions like CEPR, CREST, J-PAL, LEAP, BIDSA, IGIER, IZA, and IFS. His research focuses on labor economics, particularly job search mechanisms, unemployment insurance effects, gender disparities, and labor market policy evaluation. Educational background: PhD in Economics (Ecole Polytechnique), MSc in Economics (Universitat Pompeu Fabra), Diplôme d'ingénieur statisticien-économiste (ENSAE), and Diplôme d'ingénieur (Ecole Polytechnique) Research highlights include: Quantifying the impact of unemployment insurance reforms in France Analyzing gender differences in job search behavior Studying the effectiveness of hiring credits during economic crises Investigating how traditional AI improves job matching Examining migrant-native job search segregation patterns Scientific contributions appear in top journals like American Economic Journal: Applied Economics , Quarterly Journal of Economics , and Review of Economic Studies . Awards include two ERC grants (2017 & 2024) and the Bocconi Impact Award (2022). He mentors PhD students in economics and labor policy, currently serves as Director of IGIER research center, and maintains active editorial roles at Review of Economic Studies and Journal of the European Economic Association .

Pedro Galeanoمشاهده پروفایل

دانشیار

• Outlier Detection
• Time Series Analysis
• Bayesian Inference
• +۳ مورد دیگر

Pedro Galeano is an Associate Professor in the Department of Statistics at Universidad Carlos III de Madrid (UC3M) since 2009. He holds a PhD in Statistics (2004) under Prof. Daniel Peña, focusing on multiple time series. Previously, he served as Visiting Assistant Professor of Statistics and Econometrics at the University of Chicago’s Graduate School of Business and as a Postdoctoral Fellow at the Department of Statistics and Operations Research at Universidade de Santiago de Compostela. His research focuses on time series analysis, outlier detection, Bayesian inference in financial models, and functional data analysis with applications to missing data. He is an Associate Editor of the Journal of Time Series Analysis and advises the Heliyon journal. Key contributions include developing methodologies for detecting structural breaks, modeling systemic risk via copula approaches, and advancing robust statistical techniques for high-dimensional data. Active in academic leadership, Galeano co-organized the NICDA Workshop 2025 and has published extensively on topics like dynamic factor models, sequential parameter change detection, and functional data applications in energy markets. His work bridges theoretical statistics with practical applications in finance, economics, and environmental science.

• Econometrics
• Applied Econometrics
• Nonparametric Identification
• +۳ مورد دیگر

Andrei Zeleneev is a Lecturer in Economics at University College London (UCL), Department of Economics, where he joined in 2020. He holds a PhD from Princeton University and is affiliated with CeMMAP (Centre for Microdata Methods and Practice). His research focuses on econometric methodologies, particularly addressing challenges in panel models, network models, and errors-in-variables. His work emphasizes nonparametric identification, robust estimation, and applied econometric techniques to handle unobserved heterogeneity and measurement errors. Dr. Zeleneev’s academic background includes advanced training in econometrics, and his research spans both theoretical and applied domains. He has published extensively on topics such as treatment effects in large panels, latent variable modeling, and structural econometric approaches to network analysis. His articles highlight innovations in handling complex data structures and improving the reliability of econometric inferences in settings with non-classical errors or latent factors. He maintains an active research agenda, with recent work addressing methodological advancements in semiparametric models and interactive fixed effects. Dr. Zeleneev’s professional activities include teaching at UCL and contributing to the econometrics community through publications and affiliations with leading institutions.

Burak Güneralpمشاهده پروفایل

دانشیار

• Urbanization
• Global Change
• Sustainability
• +۵ مورد دیگر

Burak Güneralp is an Associate Professor in the Department of Geography at Texas A&M University. His research focuses on urbanization, global environmental change, and sustainability, with a particular emphasis on systems analysis and geospatial methodologies. He holds a Ph.D. in Natural Resources and Environmental Sciences from the University of Illinois at Urbana-Champaign (2006), and M.S. and B.S. degrees in Industrial Engineering from Bogazici University, Turkey (2000 and 1997). Dr. Güneralp’s work addresses human-environment interactions, urban land change, and biodiversity conservation. His projects often integrate interdisciplinary approaches, including systems dynamics modeling and remote sensing, to analyze urban expansion impacts. Notable contributions include global forecasts of urban land use and assessments of flood risk under climate change. He has received awards such as the Chinese Academy of Sciences Fellowship (2012) and multiple recognitions from the System Dynamics Society. His research has informed policy discussions through contributions to the IPCC’s Fifth Assessment Report and publications in high-impact journals like *PNAS* and *Global Environmental Change*.

Eric Simsمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Policy
• Business Cycles
• +۳ مورد دیگر

Eric Sims is a Professor and Department Chair of Economics at the University of Notre Dame, affiliated with the College of Arts and Letters. He specializes in macroeconomics, focusing on business cycles, monetary policy, and fiscal policies. Sims has been at Notre Dame since 2009, teaching graduate and undergraduate courses in macroeconomics and monetary theory. He is also a Research Associate at the National Bureau of Economic Research (NBER). In 2023, he received the Sheedy Excellence in Teaching Award, the highest teaching honor in the College of Arts and Letters. Education: Ph.D., University of Michigan, 2009 M.A., University of Michigan, 2006 B.A., Trinity University, 2003 Research Interests: Sims' work examines monetary policy implementation, the effects of quantitative easing, business cycle dynamics, and the role of central bank credibility. His research integrates theoretical models with empirical analysis to address policy challenges in post-crisis economies. Recent Articles: Recent publications include studies on state-level economic tracking, optimal quantitative easing strategies, and the effectiveness of forward guidance in inflation targeting. His work often bridges theoretical frameworks (e.g., New Keynesian models) with real-world policy applications. Awards: Recipient of the prestigious Sheedy Excellence in Teaching Award (2023), recognizing his impactful pedagogy in macroeconomics. Advising & Grants: While explicit student advisees are not listed, Sims is actively involved in mentoring graduate students through coursework and research collaborations. His research has been supported by grants tied to his NBER affiliation and institutional funding at Notre Dame. Labs/Teams: Collaborates with NBER on projects analyzing macroeconomic trends and policy impacts. Engages with interdisciplinary teams at Notre Dame’s Wilson Sheehan Lab for Economic Opportunities (LEO).

Divya Ramachandranمشاهده پروفایل

استادیار

• New-age/Emerging Technologies
• Digital Marketing
• Empirical Marketing Strategy
• +۳ مورد دیگر

Divya Ramachandran is an Assistant Professor and F. Ross Johnson Fellow at the Asper School of Business, University of Manitoba. She holds a Ph.D. in Business Administration (Marketing) from Georgia State University, an M.S. in Marketing Research from Michigan State University, and an MBA in Marketing from S.P. Jain Institute of Management and Research, India. Prior to academia, she worked in sales, marketing research, and strategy roles in India and the U.S. Her research focuses on empirical marketing strategy, particularly the impact of new-age technologies (AI, IoT, blockchain) and digital marketing on customer engagement, marketing outcomes, and societal wellbeing. She employs quantitative and qualitative methods, including econometrics and machine learning. Current projects include evaluating digital marketing in nonprofits and studying sharing economies and labor platforms. Her work appears in journals like the International Journal of Research in Marketing and the Journal of Retailing. She teaches Marketing Research, Marketing Management, and Digital Marketing. No scientific awards are explicitly listed. Her advising and grant activities are not detailed here. She is affiliated with the Marketing Department at the Asper School of Business and contributes to academic communities through research and teaching.

Narendra Malalgodaمشاهده پروفایل

استادیار

• Transportation Economics
• Public Transit Efficiency
• Rural Logistics
• +۳ مورد دیگر

Narendra Malalgoda is an Assistant Professor in Supply Chain Management at the Asper School of Business, University of Manitoba, and Associate Director of the Transport Institute. He completed his Ph.D. in Transportation and Logistics at North Dakota State University (2020) and received the 2022 Associates Teaching Award. Research examines: Public transit efficiency and productivity Impact of e-commerce on transportation systems Geospatial analysis for supply chain optimization Rural transportation challenges Emergency logistics for weather-related disruptions Recent publications (2019-2024) analyze fare-free transit equity, online shopping's impact on ridership, and air cargo volatility during the COVID-19 pandemic. Methodologies incorporate GIS, consumer surveys, and econometric modeling. Dr. Malalgoda teaches logistics management and project management while developing research infrastructure for geospatial supply chain analysis in Canada.