جست‌وجوی استاد و پژوهشگر

• Macroeconomics
• Trade Modeling
• Monetary Policy
• +۵ مورد دیگر

Professor Patrick Minford is a distinguished academic specializing in macroeconomics and trade modeling at Cardiff Business School, Cardiff University. With a prolific research career spanning several decades, he has established himself as a leading expert in dynamic stochastic general equilibrium (DSGE) modeling and macroeconomic policy analysis. His work frequently addresses contemporary economic challenges including Brexit impacts, monetary policy frameworks, and international trade dynamics. Minford's research interests focus on macroeconomic and trade modeling, with particular emphasis on the application of DSGE models to real-world policy questions. His work consistently bridges theoretical economic frameworks with practical policy implications, examining how monetary and fiscal policies affect economies in both closed and open contexts. Recent research has expanded to include analysis of pandemic economic impacts, Brexit consequences, and the evaluation of alternative monetary policy frameworks including Modern Monetary Theory. His extensive publication record demonstrates consistent contributions to top economic journals including Journal of International Money and Finance, Open Economies Review, and Applied Economics. Minford's methodological expertise in indirect inference techniques for model validation has been particularly influential in the field of applied macroeconomics. His research often involves international collaborations, reflecting the global nature of contemporary economic challenges. As an educator, Minford teaches macroeconomics to MSc and PhD students at Cardiff Business School and is available for postgraduate supervision. His teaching complements his research focus, ensuring students receive cutting-edge instruction in macroeconomic modeling and policy analysis.

Marco Nieمشاهده پروفایل

استاد

• Transportation Engineering
• Transportation Systems Analysis
• Urban Mobility
• +۷ مورد دیگر

Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.

• Economics
• Behavioral Economics
• Game Theory
• +۴ مورد دیگر

Wolfgang Pesendorfer is the Theodore A. Wells '29 Professor of Economics at Princeton University, affiliated with the Department of Economics. His work focuses on behavioral economics, game theory, decision theory, and public economics. He has collaborated extensively with Faruk Gul on foundational topics such as ambiguity aversion, dynamic preferences, and market design. Research interests include modeling decision-making under uncertainty, interdependent preferences, and applications to public policy and political economy. Key contributions address issues like efficient allocation mechanisms, voting behavior, information aggregation in markets and elections, and the theoretical foundations of behavioral economics. His articles span topics such as competitive equilibrium, experimental economics, and institutional design, often blending theoretical rigor with real-world applications. Notable work includes studies on jury decision-making, legislative bargaining, and the implications of self-control in consumption choices.

• Decision Theory
• Game Theory
• Finance
• +۴ مورد دیگر

Spyros Galanis is a Professor in Economics at Durham University Business School and Director of the Durham Research in Economic Analysis and Mechanisms (DREAM) Research Centre. Previously, he served as Associate Professor and Head of the Department of Economics at City, University of London, and held academic positions at the University of Southampton. He earned his PhD from the University of Rochester (2008), MSc from the University of Warwick (2002), and BSc from Athens University of Economics and Business (2001), all in Economics. His research focuses on decision theory, game theory, experiments, and finance, particularly examining how uncertainty, information, and bounded perception influence decision-making. Key areas include the value of information in speculative trade, prediction markets' efficiency, and the impact of unawareness on economic behavior. He leads the ESRC-funded grant (2021–2024) on prediction markets' forecasting efficiency and collaborates with the Competition and Markets Authority (CMA) through the CMA Durham Partnership. Notable publications include Information Aggregation Under Ambiguity (Review of Economic Studies, 2024) and Financial Complexity and Trade (Games and Economic Behavior, 2018). His work bridges theoretical insights with experimental and practical applications, including advising on crypto investments and organizing academic conferences like the Makris Symposium in Economic Theory. Scientific recognition includes the Jaffray Lecture (2015). He supervises PhD students and teaches advanced microeconomics, international trade theory, and financial economics. His research teams actively engage in interdisciplinary projects, such as applying group testing strategies for pandemic control and exploring blockchain's economic implications.

Giacomo Lanzaniمشاهده پروفایل

استادیار

• Economic Theory
• Learning
• Decision Theory
• +۳ مورد دیگر

Giacomo Lanzani is an Assistant Professor in the Department of Economics at the University of California, Berkeley, starting July 2025. He currently holds a Postdoctoral Fellowship at the Harvard Department of Economics. He earned his PhD in Economics from MIT in June 2023. His research focuses on economic theory , with a dual emphasis on learning mechanisms under nonstandard decision criteria and the impact of social networks on economic interactions . A key theme in his work is the interplay between learning dynamics and decision-making processes in complex environments. His academic journey includes significant contributions to decision theory, particularly in analyzing how agents learn when faced with misspecifications or bounded rationality. He explores how these factors influence long-run stability, disagreement in opinion dynamics, and strategic interactions within networks. His work frequently bridges economic theory with insights from computer science and probability theory. Lanzani’s research has been recognized with prestigious awards, including the Aliprantis Prize 2025 and the Best Paper Award at the European Winter Meeting of the Econometric Society 2024. His publications appear in top journals such as Econometrica , Journal of Political Economy , and Review of Economic Studies . Before joining Berkeley, he was a visiting scholar at MIT and has collaborated with leading institutions like Harvard and UC Berkeley. His current research agenda includes exploring nonlinear fixed points in economic systems and analyzing heterogeneous learning in product markets.

• Behavioral Economics
• Microeconomics
• Mathematical and Quantitative Methods
• +۷ مورد دیگر

Ernst Fehr is a Professor at the University of Zurich and serves as Director of the Institute for Empirical Research in Economics . He is a leading figure in the Behavioral Economics research area at CESifo, focusing on the intersection of economics, psychology, and experimental science. University: University of Zurich Institutional Role: Director, Institute for Empirical Research in Economics Key Affiliation: CESifo Research Network His research examines social preferences , bounded rationality , and decision-making under uncertainty . Themes include fairness norms, trust, risk aversion, and the psychological drivers of economic behavior, with applications to markets, policies, and institutional design. Recent publications address ambiguity aversion , cooperation dynamics , and cognitive development in children . His work often combines experimental economics, game theory, and behavioral modeling to uncover foundational patterns in human behavior. Co-authors in his publications include prominent researchers such as Klaus M. Schmidt , Henning Hermes , and Matthias Sutter . These collaborations highlight interdisciplinary approaches to understanding economic agents' motivations and biases.

John Rehbeckمشاهده پروفایل

دانشیار

• Revealed Preferences
• Microeconomic Theory
• Experimental Economics
• +۳ مورد دیگر

John Rehbeck serves as Associate Professor of Economics at The Ohio State University, joining the Department of Economics in fall 2017. His research bridges microeconomic theory with empirical applications, focusing on revealed preference frameworks and experimental methodology. Educational background: Ph.D. in Economics, University of California, San Diego Rehbeck's work centers on revealed preference theory , investigating how observed choices reveal underlying preferences through rigorous theoretical modeling and experimental validation. He develops advanced econometric techniques for testing rationality axioms and measuring choice consistency, while exploring behavioral phenomena like nontransitive preferences and stochastic choice patterns. His methodological innovations address real-world complexities including menu-dependent decision rules and latent utility structures. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trajectories: (1) Theoretical extensions of revealed preference frameworks incorporating permutation invariance and Bayesian updating; (2) Computational advances using integer programming for goodness-of-fit measurement; (3) Experimental investigations into value integration and risk preferences. Published in top journals including Econometrica , his work demonstrates consistent progression from foundational theory to market applications like cement industry analysis.

Russell Kingمشاهده پروفایل

استاد

• Logistics
• Scheduling
• Inventory Control
• +۴ مورد دیگر

Russell King is the Henry Armfield Foscue Distinguished Professor of Industrial and Systems Engineering (ISE) at North Carolina State University's College of Engineering. He serves as the Director of Graduate Programs for the ISE department, responsible for administering degree programs serving approximately 190 graduate students. King is also a Fellow of the Institute of Industrial and Systems Engineers and has received numerous teaching and research awards throughout his 37-year career at NC State. Dr. King earned his Ph.D. in Industrial Engineering from the University of Florida (1986), following a Master of Industrial Engineering (1982) and Bachelor of Science in Systems Engineering (1980). His undergraduate journey was unconventional, having considered seven different majors including pre-med, biology, microbiology, biochemistry, math, and ornamental horticulture before selecting engineering. His doctoral work was completed under advisor Thom Hodgson, who moved from Florida to become NC State's ISE department head during King's studies. King's research focuses on solving practical problems across diverse areas including logistics, scheduling, and inventory control for additive manufacturing, remanufacturing, and military systems under risk. His work spans pricing strategies, stress control of 3D-printed parts, supply chain design, and military logistics optimization. His research approach bridges theoretical rigor with real-world applications, resulting in consulting engagements with Ford Motors, The Gap, Dillards Department Stores, and the Institute for Defense and Business. Analysis of his recent publications shows a consistent focus on military logistics applications (5 of 10 recent papers), additive manufacturing integration (3 papers), and supply chain risk management (4 papers), demonstrating how his research has evolved to address emerging challenges in manufacturing and defense logistics while maintaining practical relevance. C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University (2020, 2014, 2008, 2002, 1996, 1986) Albert G. Holzman Distinguished Educator Award, Institute of Industrial Engineers (2010) Henry Armfield Foscue Distinguished Professor (2017) Edward P. Fitts Distinguished Professor (2012) NCSU George H. Blessis Outstanding Undergraduate Advisor Award (2010) Teaching Excellence Award in the OR Division, Institute of Industrial and Systems Engineers (2019) Technical Innovation in Industrial Engineering, Institute of Industrial Engineers (2003) Fellow, Institute of Industrial Engineers (2006) As an academic leader, King has developed innovative programs including a dual Master of Industrial Engineering/Master of Business Administration program and a distance education Master of Engineering degree. His mentorship has produced three students who placed in the top 3 of IIE's dissertation award competition, with two taking first place. He has served as associate editor for the Journal of Manufacturing Systems and IIE Transactions, contributing to the scholarly community beyond his own research. Outside academia, King and his daughter are Masters of Taekwondo under Grand Master K.S. Lee of Morrisville, NC.

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

Martin Eichenbaumمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Policy
• Economic Fluctuations
• +۳ مورد دیگر

Martin Eichenbaum is the Charles Moskos Professor of Economics at Northwestern University's Department of Economics. He is a leading macroeconomist specializing in monetary policy, economic fluctuations, and fiscal policy analysis. His research explores topics such as exchange rate dynamics, the effects of monetary policy on business cycles, and the macroeconomic impacts of epidemics. Eichenbaum holds positions as a Research Associate at the National Bureau of Economic Research (NBER) and a Fellow of both the Econometric Society and the American Academy of Arts and Sciences. Education: PhD in Economics, University of Minnesota (1981) B.Comm in Economics, McGill University (1976) Research Interests: Eichenbaum's work focuses on understanding aggregate economic fluctuations, particularly through the lens of DSGE models. His recent studies examine the interplay between monetary policy, fiscal policy, and real-world phenomena like pandemics. He has contributed significantly to analyzing the effects of government spending multipliers, the predictability of exchange rates, and the implications of low interest rates for fiscal sustainability. Notable Contributions: Pioneering research on the macroeconomic effects of epidemics, integrating public health dynamics with economic modeling. Analysis of state-dependent monetary policy effects, particularly through refinancing channels. Studies on fiscal policy effectiveness under imperfect expectations and zero-lower-bound constraints. Grants & Affiliations: Eichenbaum has held continuous NSF grants since 1983 and served as a consultant to the Federal Reserve Bank of San Francisco, the IMF, and Goldman Sachs. He co-directs the Center for International Economics at Northwestern and contributes editorially to journals like the American Economic Review and the NBER Macro Annual . Labs/Teams: He leads the Macroeconomic Analysis Group at Northwestern, collaborating with researchers like Sergio Rebelo and Mathias Trabandt on projects addressing contemporary economic challenges.

Drew Fudenbergمشاهده پروفایل

استاد

• Behavioral Economics
• Economic Theory
• Industrial Organization
• +۷ مورد دیگر

Drew Fudenberg is the Paul A. Samuelson Professor of Economics at MIT, where he has made significant contributions to economic theory, game theory, and behavioral economics. He received his A.B. in applied mathematics from Harvard College in 1978 and his Ph.D. in economics from MIT in 1981. His research focuses on several key areas: Game theory, including foundational work on learning and equilibrium, repeated games, and reputation effects Theoretical industrial organization, analyzing competition between firms and market dynamics Behavioral economics and decision theory, particularly self-control and stochastic choice Fudenberg's recent publications reveal a continued focus on learning under misspecification, strategic behavior in complex environments, and the intersection of behavioral economics with traditional game theory. His work often combines theoretical rigor with practical applications to real-world economic phenomena. His notable scientific achievements include: Fellow of the Econometric Society (and President in 2017) Member of the National Academy of Sciences Member of the American Academy of Arts and Sciences Recipient of fellowships from the Guggenheim Foundation and Alfred P. Sloan Foundation Past editor of Econometrica Co-founder of the open access journal Theoretical Economics Fudenberg has advised numerous doctoral students who have gone on to prestigious academic and industry positions. His research has been supported by various grants throughout his career, though specific grant details are not provided in the source material. He has also authored four influential books in his field.

Ludovic Renouمشاهده پروفایل

استاد

• Economic Theory
• Game Theory
• Information Design
• +۳ مورد دیگر

Ludovic Renou is a Professor of Economics at Queen Mary University of London, affiliated with the School of Economics and Finance. He serves as a CEPR Fellow and Associate Editor at Games and Economic Behavior . His research focuses on economic theory, particularly game theory, information design, and strategic interactions. He has contributed to topics including repeated games, persuasion mechanisms, and networked economic systems. Recent work explores themes like human-machine interaction in decision-making, cross-verification in communication networks, and contracting under persistent information. His 2020 paper in the American Economic Review advanced revealed preference analysis under risk and uncertainty. Awards: CEPR Fellowship Renou advises on research projects but no formal advisees are listed. His professional activities include serving on the REF2021 Economics sub-panel. Outside academia, he is an avid runner with personal bests in multiple distances, emphasizing training regimens and collaborative running ethics outlined in his 'Four Axioms for Collaboration.'

Rakesh V. Vohraمشاهده پروفایل

استاد

• Economics
• Computer Science
• Game Theory
• +۵ مورد دیگر

Rakesh V. Vohra is the George A. Weiss and Lydia Bravo Weiss University Professor at the University of Pennsylvania, holding primary appointments in the departments of Computer and Information Science, Economics, and Electrical and Systems Engineering. He co-directs the Warren Center for Network and Data Sciences. His research spans game theory, market design, auction theory, and computational economics, with a focus on mechanism design, spectrum markets, and systemic risk in financial networks. He explores interdisciplinary topics such as NFTs, blockchain applications, and algorithmic fairness in healthcare equity. His work integrates economic theory with computational methods, addressing challenges in resource allocation, strategic behavior, and network dynamics. Recent studies analyze optimal bailouts in financial systems, sequential information acquisition, and the implications of unlicensed spectrum policies on wireless competition. He also investigates behavioral aspects of decision-making under uncertainty and the design of robust economic systems. Notable contributions include foundational work on combinatorial auctions, stable matching mechanisms under constraints, and the role of network effects in market stability. Though no formal awards are listed, his prolific publication record reflects significant academic influence across multiple disciplines.

Xindi Heمشاهده پروفایل

استادیار

• Behavioral Finance
• Asset Pricing
• Investor Behavior
• +۷ مورد دیگر

Xindi He is an Assistant Professor of Finance at the Scheller College of Business, Georgia Institute of Technology. He holds a Ph.D. in Financial Economics from the University of Chicago Booth School of Business and the Kenneth C. Griffin Department of Economics (2023), and a B.A. in Economics from Guanghua School of Management, Peking University (2018). Ph.D. in Financial Economics, University of Chicago (2023) B.A. in Economics, Peking University (2018) His research lies at the intersection of behavioral finance, asset pricing, and macroeconomics, with a focus on how investor behavior , psychological biases , and bounded rationality influence financial markets. He investigates topics such as trading heuristics, mental accounting of brokerage cash, risk perception based on historical price paths, and self-evaluation of trading talent. His work aims to uncover the financial and macroeconomic implications of the coexistence of fully and limitedly rational agents. The recent working papers demonstrate a strong empirical and experimental approach, utilizing retail and institutional trade data, quasi-natural experiments, and online experiments. Collectively, his research contributes to understanding how investors form beliefs , make portfolio decisions , and perceive risk in real-world settings, often challenging standard assumptions in financial economics. Currently, no scientific awards or honors are publicly listed. Xindi He is actively engaged in research, with several working papers under his name, often in collaboration with co-authors. While no formal advisees are listed, as a new faculty member (joined in 2023), he is likely beginning to mentor graduate students. There is no mention of external grants or funding sources in the provided text. His work is primarily theoretical and empirical, developed through individual and collaborative research efforts. There is no mention of a specific lab or research team, but his work appears to be conducted within the academic environment of the Scheller College of Business, potentially in collaboration with behavioral finance and asset pricing research groups.

• Macroeconomics
• Political Economy
• Development Economics
• +۶ مورد دیگر

Professor Joshy Easaw is a Professor of Economics at Cardiff Business School, Cardiff University, where he joined in October 2014 after holding permanent appointments at Bath and Swansea Universities. He is currently a Visiting Professor at the Department of Economics, University of Bologna, Italy, and serves as the decolonisation of curriculum and research lead for the CARBS Race Equality Committee, which he helped found. His research spans macroeconomics, political economy, and development economics, with specific focus on bounded rationality , microfoundations of household expectations , professional forecasters' inattentiveness , and the interaction between economic and political institutions . His work examines how households form expectations about macroeconomic variables, how voters perceive policy competence, and the relationship between democracy, institutions, and economic growth in developing economies. Easaw's recent publications reveal strong trends in uncertainty modeling, household expectation formation, and historical economic analysis, particularly regarding the long-term impacts of the transatlantic slave trade. His methodological approaches combine theoretical modeling with empirical analysis using household surveys and professional forecast data. Leverhulme Trusts Research Fellowship (2007-2008) for research on 'Microfoundations of how households form subjective macroeconomic expectations: The role of news' Professor Easaw has successfully supervised nine PhD students whose careers span academia (including positions at the University of Manchester, Taiwan, and China) and international institutions (World Bank). His research has been supported by various grants, though specific current funding isn't detailed in the provided text. He actively contributes to the academic community as a member of the Royal Economic Society and has previously been a member of the American Economic Association and Econometric Society. His scholarly work spans multiple research teams and collaborations, with recent projects examining uncertainty spillovers in the euro area, the impact of the transatlantic slave trade on contemporary institutions, and innovative approaches to election forecasting using ensemble methods.