جست‌وجوی استاد و پژوهشگر

Yuki Wangمشاهده پروفایل

استاد آموزشی

• Econometric Models
• International Trade and Finance
• Networks in Financial Markets
• +۳ مورد دیگر

Yuki (Xue) Wang is an Assistant Teaching Professor in the Department of Economics at Emory University and a Visiting Economist at the Research Department of the Federal Reserve Bank of Atlanta. She holds a PhD in Finance from the University of Kansas and Jinan University (2018), an MA in International Economics from Sun Yat-Sen University (2014), and a dual BA in International Economics and Trade and Japanese from Central China Normal University (2012). Her research focuses on econometric models, international trade and finance, and networks in financial markets. Key themes include corporate governance dynamics, systemic financial risk, and policy impacts on macroeconomic stability. Recent work examines textual analysis in corporate reporting, Brexit spillover effects, and hierarchical contagion in financial networks. As an Associate Editor of Financial Economics Letters , she contributes to scholarly discourse in finance. Her publications span topics ranging from real estate market linkages to the double-edged role of social learning in market volatility. No scientific awards are explicitly listed in the provided materials. Her roles combine teaching excellence with policy-oriented research, bridging academia and central banking institutions. She maintains an active research agenda addressing contemporary issues in global finance and development economics.

Fotini Christiaمشاهده پروفایل

استاد

• Political Science
• Conflict Studies
• Muslim World Studies
• +۴ مورد دیگر

Fotini Christia is the Ford International Professor of the Social Sciences in the Department of Political Science at the Massachusetts Institute of Technology (MIT), and serves as Director of the Institute for Data, Systems, and Society (IDSS). Previously, she directed the Sociotechnical Systems Research Center (SSRC), served as Associate Director of IDSS, and chaired the doctoral program in Social and Engineering Systems (SES) at MIT's Schwarzman College of Computing. She is also affiliated with the Department of Mechanical Engineering and the Center for Ocean Engineering at MIT. Her educational background includes a joint BA in Economics–Operations Research and an MA in International Affairs from Columbia University (graduated magna cum laude in 2001), followed by a PhD in Public Policy from Harvard University in 2008. Professor Christia's research bridges social sciences, data science, and computation, with a focus on addressing systemic racism across housing, healthcare, policing, and social media. She is currently working to integrate AI tools in public policy. Her earlier work focused on conflict and cooperation in the Muslim world, with extensive fieldwork conducted in Afghanistan, Bosnia, Iraq, Iran, the Palestinian Territories, Syria, and Yemen. Her publications span multiple disciplines including political science, computer science, public health, and network science, reflecting her interdisciplinary approach to complex sociotechnical problems. Recent work shows increasing integration of computational methods with traditional social science research to address issues of bias, inequality, and governance. Luebbert Award for Best Book in Comparative Politics Lepgold Prize for Best Book in International Relations Distinguished Book Award from the International Studies Association Andrew Carnegie Fellow Harvard Academy Fellow Professor Christia has secured research funding from multiple sources including MURI and DARPA grants, as well as support from Google, the International Growth Center, the Russell Sage Foundation, USAID, CIDA, the UN, and the World Bank. She has advised numerous graduate students through MIT's Social and Engineering Systems PhD program and Political Science department. She leads initiatives through the Sociotechnical Systems Research Center and contributes to MIT's efforts in addressing systemic racism through data science approaches, particularly through the Initiative on Combatting Systemic Racism within IDSS.

Yuanyuan Zhangمشاهده پروفایل

مدرس

• Cryptocurrency Markets
• Decentralized Finance
• Financial Econometrics
• +۲ مورد دیگر

Dr. Yuanyuan Zhang is Lecturer in AI Trust and Security within Criminology at the University of Manchester, accepting PhD students. Her research examines cryptocurrency markets, decentralized finance (DeFi), and financial econometrics using advanced statistical methods. Her work focuses on: Market interconnections and contagion effects in cryptocurrency ecosystems Extreme value analysis of high-frequency trading data Decentralized finance market dynamics and efficiency Blockchain security and anomaly detection techniques Recent publications demonstrate interdisciplinary approaches combining econometrics, computer science, and finance to analyze emerging financial technologies and their market behaviors.

C. Anton Ryttingمشاهده پروفایل

عضو هیئت علمی

• Natural Language Processing
• Computational Social Science
• Under-resourced Languages
• +۳ مورد دیگر

Dr. C. Anton Rytting holds roles as an Adjunct Lecturer in the College of Information Science (Maryland’s iSchool) and Associate Research Scientist at the University of Maryland, College Park’s Applied Research Laboratory for Intelligence and Security (ARLIS). He also affiliates with the Linguistics Department and Computer Science Department. His research focuses on computational linguistics, social media analysis, and under-resourced languages, with emphasis on NLP applications for dialectal transcription, personality trait detection, and emotion analysis. Education: Ph.D. in Linguistics, The Ohio State University; B.A. in Linguistics (summa cum laude), Brigham Young University. Key projects include developing the DYM error-tolerant search toolkit, leading the IARPA Babel program’s evaluation team, and creating Arabic Data Science Toolkit APIs. Current work explores emotional content’s role in social media virality under a Minerva Research Initiative grant. Recent research spans emotion annotation frameworks, cross-lingual personality detection (e.g., Russian and Polish), and fake news network analysis. Collaborations involve interdisciplinary teams addressing computational social science challenges.

• Behavioural Finance
• Emerging Markets
• Institutional Investors
• +۳ مورد دیگر

Vasileios Kallinterakis is an Associate Professor in Finance at Durham University Business School and Director of Quantitative Research in Financial Economics. He holds a PhD in Finance from Durham University and an MSc from University of Toulouse 1. His research spans behavioral finance, emerging/frontier markets, institutional investors, volatility, high-frequency trading, and neurofinance. He has published extensively in leading journals including the Journal of Financial Economics, Journal of Corporate Finance, and Journal of Banking and Finance. His research has received grants from institutions like the National Stock Exchange of India and The University of Jordan. He serves on editorial boards of several finance journals including PLOS ONE and Review of Behavioral Finance. Dr. Kallinterakis has successfully supervised eight doctoral students to completion and currently supervises two additional PhD candidates. Prior to joining Durham, he held positions at the University of Liverpool and taught at multiple UK universities including Birmingham, Glasgow, Leeds, Reading, and University College London.

• Investments
• Asset Pricing
• AI in Finance
• +۲ مورد دیگر

Yue Xu is an Assistant Professor of Finance at Durham University Business School. Her research investigates investments, asset pricing, and AI applications in finance, with recent work focusing on explainable AI for asset pricing models and optimization of machine learning execution in financial contexts. She develops coursework bridging finance and AI technologies. Research Focus: AI-driven asset pricing and investment strategies Machine learning efficiency in financial modeling Mutual fund manager performance and capital flows Teaching: Develops courses on AI applications in finance for the evolving fintech landscape.

Arjen van Witteloostuijnمشاهده پروفایل

استاد

• Institutional Economics
• Organizational Behavior
• Industrial Organization
• +۳ مورد دیگر

Prof. Arjen van Witteloostuijn is Dean of the School of Business and Economics at Vrije Universiteit Amsterdam and Professor at the University of Antwerp. A member of the Royal Netherlands Academy of Sciences (KNAW), he chairs its Department of Business, Economics, Law & Social Sciences. His interdisciplinary research examines why institutions succeed or fail, combining economics, business science, and social sciences. He studies organizational behavior, labor relations, geopolitical risk, and methodological innovations using machine learning. Current projects include FIRMBACKBONE, a longitudinal data infrastructure on Dutch firms. Recent publications analyze works councils in Germany/the Netherlands, foreign language effects on ethical decisions, generative AI in research, and the economics of self-employment. His work frequently addresses policy-relevant topics like market regulation, transport costs, and political party dynamics.

Derek A. Kreagerمشاهده پروفایل

استاد

• Life Course
• Crime and Delinquency
• Incarceration
• +۳ مورد دیگر

Derek A. Kreager serves as Professor of Sociology and Criminology at Pennsylvania State University's College of the Liberal Arts, holding dual appointments in Sociology and Criminology and Demography. He concurrently serves as Associate Head of the Department of Sociology and Criminology and is a Co-Funded Faculty member at the Social Science Research Institute (SSRI). His educational background includes a Ph.D. and M.A. in Sociology from the University of Washington (2006, 2002) and a B.S. in Psychology from the United States Naval Academy (1993). Ph.D. Sociology, University of Washington, 2006 M.A. Sociology, University of Washington, 2002 B.S. Psychology, United States Naval Academy, 1993 Kreager's research centers on social network dynamics within criminological contexts, with dual specialization in prison sociology and adolescent development. His work examines how friendships and romantic relationships influence risk-taking behaviors across the life course, particularly focusing on incarceration experiences and community re-entry processes. He employs advanced network methodologies to study inmate social structures, family visitation impacts, community reintegration challenges, and prison substance use treatment efficacy. His adolescent research investigates how romantic relationships shape sexual development and health-risk behaviors through peer network mechanisms. Analysis of his recent publications reveals a consistent methodological emphasis on dynamic network modeling applied to criminological questions. His work bridges macro-level institutional analysis (prison systems) with micro-level interpersonal dynamics (romantic partnerships), demonstrating how social structures constrain and enable behavioral trajectories. Key thematic trends include the examination of gendered double standards in adolescent sexuality, the transformation of inmate social hierarchies during mass incarceration, and the cognitive mechanisms underlying desistance from crime. His scientific recognition includes prestigious awards such as the Ruth Shonle Cavan Young Scholars Award from the American Society of Criminology and the William T. Grant Foundation Scholars Award. Additional honors reflect his methodological innovation and theoretical contributions: Ruth Shonle Cavan Young Scholars Award, American Society of Criminology William T. Grant Foundation Scholars Award Roy C. Buck Award for Outstanding Article by a PSU Junior Faculty Member Outstanding Article Award for 2006, American Society of Criminology First Prize, American Society of Criminology Gene Carte Student Paper Award Kreager's research program is sustained through major external funding from the National Science Foundation, National Institute of Justice, and National Institutes of Health (including NIAAA). He collaborates extensively as part of the NIH-funded PROSPER Peers research team examining adolescent social networks. His grant portfolio demonstrates consistent success in securing competitive funding for longitudinal network studies in high-impact settings including correctional facilities and school systems. His laboratory work focuses on developing specialized methodologies for collecting social network data in constrained environments like prisons, with particular emphasis on ethical considerations and longitudinal tracking during community re-entry. Kreager actively participates in interdisciplinary research teams bridging criminology, public health, and network science to address complex societal challenges related to incarceration and adolescent development.

• Real Estate Economics
• Urban Economics
• Housing Markets
• +۳ مورد دیگر

Jeffrey Cohen is Professor of Finance and Real Estate at the University of Connecticut School of Business with dual affiliation at the Federal Reserve Bank of St. Louis. His research focuses on spatial economics, housing markets, and infrastructure impacts, utilizing advanced econometric methods to analyze environmental and urban policy effects. He maintains significant collaborations across institutions and has published extensively in top economics and real estate journals. Research Interests: Cohen specializes in the economic analysis of environmental factors on property values, including noise pollution, transportation infrastructure, and climate risks. His work integrates spatial modeling with policy evaluation to address urban development challenges. Publications: Cohen's extensive research portfolio includes over 50 scholarly papers examining real estate dynamics, market interdependencies, and valuation methodologies. Recent work focuses on economic resilience during crises and spatial spillover effects. Professional Networks: Actively collaborates with researchers at the Federal Reserve, international universities, and policy institutions to advance urban economics research.

Gloria Washingtonمشاهده پروفایل

دانشیار

• Human-Centered AI
• Affective Computing
• Bias in AI Systems
• +۴ مورد دیگر

Dr. Gloria Washington is an Associate Professor in the Department of Electrical Engineering and Computer Science at Howard University's College of Engineering and Architecture. She directs the Affective Biometrics Lab, researching human-centered AI, affective computing, and equity in technology with emphasis on mitigating algorithmic bias and amplifying marginalized voices. Her work investigates AI fairness in speech recognition, explainable hate speech detection, VR-based empathy tools for psychiatric training, and culturally responsive mentorship models. Notable projects include large-scale AAVE data collection for linguistic equity, analysis of microaggressions in clinical interactions, and retention strategies for underrepresented CS students. Educational initiatives focus on social good applications of affective computing, liberatory mentoring frameworks, and HBCU-PWI knowledge transfer for racial equity. Her research bridges technical innovation with social impact, addressing disparities in healthcare, education, and technology access.

John Finnertyمشاهده پروفایل

استاد

• Corporate finance
• Fixed income securities
• Derivative instruments and hedging
• +۲ مورد دیگر

John Finnerty is a Professor in the Department of Finance and Business Economics at the Gabelli School of Business, Fordham University, where he has served as full-time faculty since 1987. He concurrently operates as managing principal of Finnerty Economic Consulting, following executive roles at Analysis Group, PriceWaterhouseCoopers, Houlihan Lokey Howard & Zukin, and McFarland Dewey & Co. His academic credentials include: Ph.D. in Operations Research, Naval Postgraduate School Master's degree (B.A. and M.A.) in Economics, Cambridge University Bachelor's degree in Mathematics, Williams College Research focuses span: Corporate finance structuring and valuation Fixed income securities markets and instruments Derivative hedging strategies Project finance engineering Tuition prepayment plan economics His publication history demonstrates consistent contributions to financial theory and practice, particularly in financial contagion analysis, derivatives litigation frameworks, and statistical methodologies for economic forensics. Textbook authorship in corporate finance and project financing reveals his commitment to translating complex financial engineering concepts into accessible educational resources. No specific student advisement records or grant funding details are provided in available documentation. His ongoing leadership at Finnerty Economic Consulting represents the practical application of his academic expertise in economic consulting and expert testimony services.

Ivan Medovikovمشاهده پروفایل

دانشیار

• Financial Econometrics
• Copula Theory
• Nonparametric Econometrics
• +۲ مورد دیگر

Ivan Medovikov is Associate Professor of Economics at Brock University, holding PhD and MA degrees in Econometrics from the University of Western Ontario. His research specializes in financial econometrics, copula theory applications in finance, nonparametric methods, and empirical analysis of market behaviors. He currently serves on departmental committees including Graduate Studies and Research Seminars. Research examines vector dependence measures, financial contagion mechanisms, and market reactions to economic news using advanced copula-based methodologies. Recent work explores volatility forecasting accuracy and risk prediction in equity markets. Publications demonstrate consistent methodological innovation in dependence measurement (67% of recent works) with empirical applications in financial markets. Thematic evolution shows progression from foundational econometric tests to applied market analysis. Ontario Graduate Scholarship (2011) Faculty Excellence in Teaching Award (2016) Social Science Research Fellowships (2011, 2014, 2017)

• Emotional Responses in Sport
• Physical Activity and Health
• Sports Education
• +۳ مورد دیگر

Joaquín Fernando Gómez Varela is a Professor and current Dean of the Faculty of Sport Sciences and Physical Education at the University of A Coruña. He holds a permanent academic position and has served in multiple leadership roles including President of the Academic Commission and Quality Commission of the Faculty. His research focuses on emotional responses in sports, physical activity promotion, and pandemic-era sports safety protocols, particularly through the FISICOVID-DXTGALEGO initiative. His teaching portfolio includes courses like 'Final Year Dissertation' in Sports Science and 'Physical Activity in the Natural Environment'. He has directed over 15 final theses and EOG works since 2013, focusing on innovative proposals for adventure sports, bouldering, and pandemic-era sports management. Research contributions span 30+ years with notable work on Parkinson’s disease rehabilitation, post-pandemic tourism recovery, and surf culture studies. He leads the 'Learning and Human Movement Control Group' and has coordinated projects funded by Spain’s Ministry of Science (2022-2025) investigating neuro-muscular and cognitive markers in aging populations. Key professional milestones include chairing 7 university commissions, authoring 25+ publications, and developing risk assessment tools adopted across Galician sports federations. His work bridges physical education theory with real-world applications in public health and environmental policy.

• International Macroeconomics
• International Finance
• Applied Economics
• +۲ مورد دیگر

Walid Mohammed is an Associate Lecturer in Economics at Sheffield Hallam University's College of Business, Technology and Engineering. Previously, he held roles as a lecturer at INTO University Partnerships and an assistant lecturer at the University of Salford, UK. He holds a PhD in Economics (Salford University) alongside MSc and BSc degrees in business-related fields. His research focuses on International Macroeconomics, International Finance, and Development Economics, with a particular emphasis on policy analysis and applied economic frameworks. His work explores volatility spillovers in global financial markets and challenges in stock prediction. Teaching includes modules on macroeconomics, mathematics for economics, and professional skills development at undergraduate levels. He supervises MSc dissertations in economics and finance. He is affiliated with the Social and Economic Research Institute and contributes to interdisciplinary research in macroeconomic policy and financial market dynamics.

• Game Theory
• Microeconomics
• Auction Theory
• +۳ مورد دیگر

Sandro Brusco is a Professor of Economics at Stony Brook University, specializing in Game Theory, Microeconomics, and Auction Theory. He holds a position in the Department of Economics and teaches courses such as Microeconomics I, Industrial Organization, and Game Theory at the graduate level, alongside undergraduate courses in Mathematical Statistics and Corporate Finance. His research focuses on strategic interactions in economic environments, particularly in auction mechanisms, political economy models, and financial systems. Notable contributions include work on runoff voting systems, contingent re-auctions, and coordination in procurement auctions with uncertain scale economies. He has also explored topics like liquidity contagion in financial markets and regulatory consensus dynamics. Brusco’s publications span top journals such as the Journal of Economic Theory , Journal of Finance , and International Economic Review . His work often integrates theoretical frameworks with empirical analysis, as seen in studies combining auction theory with real-world data (e.g., FCC spectrum auctions). Professionally, he serves as a referee for leading economics journals ( American Economic Review , Econometrica ) and is on the editorial board of the B.E. Journals of Theoretical Economics . His research has implications for public policy, market design, and corporate finance.