جست‌وجوی استاد و پژوهشگر

Urs Lendermannمشاهده پروفایل

استاد

• European and constitutional law
• Banking law and economic law
• Securities law and markets in financial instruments law
• +۶ مورد دیگر

Professor Urs Lendermann is a distinguished legal scholar specializing in European Banking and Commercial Law at the Deutsche Bundesbank University of Applied Sciences since 2014. He also serves as Head of the Module "Financial, Regulatory and Legal Environment" for the Diploma of Advanced Studies in Banking at the University of Zurich. Previously, he worked as a Senior Specialist at the Swiss Financial Market Supervisory Authority (FINMA) from 2010-2013, focusing on solvency and capital requirements for banks. Doctorate in Law (PhD) from the University of Zurich (2012) Second State Examination in Law (Bar Exam) at the Higher Regional Court in Coblenz (2006) First State Examination in Law at the Higher Regional Court in Cologne (2004) Law Studies at the Universities of Münster, Lausanne and Cologne Trained as a Bank Clerk, First rank in 1999, Honors from the Chambers of Industry and Commerce in North Rhine-Westphalia Professor Lendermann's research focuses on critical challenges in financial regulation, particularly the "too-big-to-fail" problem in the financial sector, regulating systemically important banks, bank insolvency legislation, recovery and resolution planning, hybrid capital instruments, and the legitimacy of "soft law" used by international standard setters. His work bridges theoretical legal analysis with practical regulatory implementation challenges. His extensive publication record reveals a consistent focus on banking regulation evolution, with recent emphasis shifting toward emerging challenges including sustainable finance (evidenced by his 2023 work on "greenium" in German green securities), digital finance regulation, and the theoretical underpinnings of bank resolution mechanisms. His 2025 article "Automated bail-in: eliminating regulatory restraints" represents the cutting edge of his current research on improving bank resolution frameworks. As a scientific advisor to the International Association of Deposit Insurers (IADI) and the European Parliament, Professor Lendermann actively contributes to shaping international financial regulatory frameworks. He regularly lectures at prestigious institutions including the University of Zurich, Frankfurt School of Finance, and various central bank training programs worldwide, demonstrating his influence across academic, regulatory, and practitioner communities. His professional activities extend to significant editorial contributions, including co-editing the Commentary on the German Investment Firms Act (WpIG) and contributing to major commentaries on the German Banking Act (KWG) and Capital Requirements Regulation (CRR). These works represent authoritative references in German financial regulatory practice.

Van Kolpinمشاهده پروفایل

استاد

• Game Theory
• Microeconomic Theory
• Social Choice Theory
• +۵ مورد دیگر

Van Kolpin is a Professor and Associate Head in the Department of Economics at the University of Oregon, part of the College of Arts and Sciences. He has been with the university since 1986, maintaining a distinguished career in economic theory with a focus on game theory and microeconomic applications. Dr. Kolpin received his educational foundation through a series of advanced degrees from the University of Iowa: a Ph.D. in Applied Mathematical Science (1986), an M.A. in Economics (1984), and an M.S. in Mathematics (1983). His undergraduate work was completed at Coe College in 1982 with a B.A. in Mathematics and Computer Science. Professor Kolpin's research spans both cooperative and noncooperative game theory contexts. His work on cooperative theory investigates stability of solutions and characterizations of coalitional power in static and dynamic settings, with implications for economic/political modeling and social choice implementation. His noncooperative research analyzes equilibrium behavior across diverse environments including psychological games, discriminatory behavior, asymmetric information, and higher education markets. He has made significant contributions to understanding equity in resource allocation in both centralized and decentralized social choice contexts. His extensive publication record shows consistent scholarly output over three decades, with recent work focusing on higher education economics, environmental economics, and tax policy. The trajectory of his research demonstrates an evolution from foundational game theory work to increasingly applied contexts while maintaining theoretical rigor. Member of editorial board of Game Theory journal Member of editorial board of Modern Economics: Problems, Trends, Prospects journal As Associate Head of the Economics Department, Professor Kolpin plays a significant administrative role while maintaining active research and teaching responsibilities. His teaching portfolio includes advanced courses in game theory, microeconomic theory, and industrial organization, reflecting his research expertise. While specific grant information isn't detailed in the provided text, his sustained research output suggests successful funding history. Professor Kolpin maintains an active presence in the academic community through his editorial work and ongoing scholarly contributions across multiple economic subfields.

Ricardo Perez-Trugliaمشاهده پروفایل

استاد

• Behavioral Decision Making
• Behavioral Economics
• Global Economics
• +۸ مورد دیگر

Ricardo Perez-Truglia is Professor of Economics at UCLA Anderson School of Management, where he holds the Justice Elwood Lui Endowed Term Chair in Management. He is a faculty member in the Global Economics and Management area, contributing to both research and teaching at the business school. Dr. Perez-Truglia earned his Ph.D. in Economics from Harvard University in 2014 and completed his B.A. and M.A. in Economics at Universidad de San Andrés in 2008. His academic journey has led him to become a prominent researcher in economic inequality and behavioral economics. His research focuses primarily on income inequality, gender pay gaps, pay transparency, and tax compliance. Perez-Truglia investigates how face-to-face interactions with managers contribute to the gender pay gap and how extreme inequality affects public support for taxation. His work examines salary comparisons among employees and their impact on work performance, revealing that employees work less hard when discovering co-workers earn slightly more, but work harder when learning managers earn significantly more. As an Amazon Scholar, he conducts field experiments to assess company policies before organization-wide implementation, focusing on improving employee satisfaction, diversity, equity, and inclusion. His publication record shows a consistent focus on behavioral responses to economic information, with recent work examining schmoozing in the workplace, salary transparency effects, and partisan interactions. His research methodology typically involves formulating hypotheses about decision-making processes and testing them through rigorous empirical analysis, often using natural experiments or field studies. 2023 Kenan Institute Distinguished Fellow 2023 Poets & Quants' Best 40-Under-40 Business School Professors 2022 Earl F. Cheit Award for Excellence in MBA Teaching, UC-Berkeley 2020 Sloan Research Fellow Perez-Truglia teaches Anderson's MBA core course in managerial economics, receiving numerous teaching awards including UC Berkeley's Earl F. Cheit Award for Excellence in MBA Teaching. He has been featured in major media outlets including The New York Times and The Wall Street Journal, with his research appearing in top academic journals such as the American Economic Review and the Journal of Political Economy. His work as an Amazon Scholar demonstrates his commitment to applying academic research to real-world business problems, particularly in the areas of diversity, equity, and inclusion. Through his research and teaching, Perez-Truglia maintains active connections with both academic and business communities, contributing to public discourse on economic inequality and workplace dynamics.

• Health Economics
• Labor Economics
• Health Policy
• +۳ مورد دیگر

Dr. Dajung Jun is an Assistant Professor at Husson University's School of Business and Management within the College of Business. She holds a Ph.D. in Economics from Michigan State University (2019) and a B.A. in Economics from UCLA (2010). Previously, she served as a research fellow (Assistant Professor) at the University of Melbourne, Australia. Her research focuses on Health and Labor Economics, particularly examining Medicaid/Medicare policies, health poverty trends, and the impact of healthcare reforms. She emphasizes critical thinking in teaching economics, mentoring students to pursue socioeconomic research, and guiding them through academic challenges. Education: Ph.D. in Economics, Michigan State University, 2019 B.A. in Economics, University of California, Los Angeles, 2010 Her research explores spillover effects of Medicaid expansion on Medicare, health poverty in Australia, and labor market dynamics influenced by health insurance mandates. She has published in journals like Health Economics and BMJ Open , analyzing policy impacts on healthcare access, costs, and socioeconomic outcomes. Though no awards are listed, her work highlights the interplay between public policy and economic equity. Dr. Jun values student mentorship and fosters a learning environment where students apply economic principles to real-world problems. Her advising style emphasizes goal-setting as a guiding force for overcoming academic and professional challenges.

• Numerical Analysis
• Differential-Algebraic Equations (DAEs)
• Linear Algebra
• +۳ مورد دیگر

Prof. Diana Estévez Black is a Professor at Berlin University of Technology, affiliated with Department II (Mathematics, Physics, Chemistry). She specializes in Numerical Analysis and Differential-Algebraic Equations (DAEs), focusing on numerical methods, matrix factorization, and computational techniques for solving complex mathematical models. Teaching: She teaches courses in Applied Mathematics, Biotechnology Mathematics, Computational Engineering, and Mechanical Engineering programs, including Numerical Mathematics, Linear Algebra, and Numerics for graduate-level engineering disciplines. Research: Her work emphasizes DAE analysis, singular value decomposition, and eigenvalue problems. She has developed software like InitDAE for consistent initialization of DAEs and published extensively on topics such as robotic arm dynamics, multirate PDAEs, and tax policy modeling. Her research bridges theoretical mathematics with practical applications in engineering and economics. Labs/Tools: She contributes to software development (e.g., Python-based InitDAE ) and maintains visualization resources for numerics education, including Hinton diagrams for matrix factorization and animations for discrete mathematics concepts.

Ernst-Ludwig von Thaddenمشاهده پروفایل

استاد

• Microeconomics
• Finance
• Game Theory
• +۶ مورد دیگر

Ernst-Ludwig von Thadden serves as Professor of Microeconomics and Finance at the University of Mannheim's Department of Economics, where he also held the presidency from October 2012 to October 2018. His academic leadership extends to organizing major research initiatives including the Workshop on Digital Finance: BoMaDigital series held in Bonn and Mannheim. His research spans foundational and applied economics with particular emphasis on: Microeconomic theory and game-theoretic modeling Corporate governance structures and capital market dynamics Banking systems, liquidity provision, and financial regulation Monetary-fiscal policy interactions and balance sheet analysis Political economy of market frictions and international coordination Pandemic economics and supply chain resilience Analysis of his recent publication trajectory reveals increasingly interdisciplinary work bridging theoretical microeconomics with urgent policy challenges. His 2020-2025 output demonstrates sophisticated integration of dynamic contracting frameworks with real-world phenomena including pandemic response, digital finance innovation, and global trade-health policy coordination. This research maintains rigorous theoretical foundations while directly addressing contemporary crises through mechanisms design and equilibrium analysis. Professor von Thadden's scholarly impact is evidenced by sustained contributions across top economics journals, with recent work focusing on the interplay between public debt, private sector balance sheets, and monetary implementation mechanisms. His publications consistently connect abstract economic theory to tangible policy applications in financial regulation and crisis management.

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۶ مورد دیگر

Lily Popova Zhuhadar is a Professor of Analytics & Information Systems at Western Kentucky University's Gordon Ford College of Business, where she also serves as Director of the WKU Center for Applied Data Analytics and Coordinator of the Undergraduate Business Data Analytics Program. Her academic journey began with a Master of Sciences in Computer Science from Western Kentucky University in 2004, followed by a Doctor of Philosophy in Computer Engineering and Computer Science from the University of Louisville in 2009. Dr. Zhuhadar's educational background includes: Doctor of Philosophy, Computer Engineering and Computer Science, University of Louisville (2009) Master of Sciences, Computer Science, Western Kentucky University (2004) Her research interests span Machine Learning, Artificial Intelligence, Data Mining, Pattern Recognition, Data Science, Analytics, Semantic Web, Smart Cities, and Computers in Human Behavior. Dr. Zhuhadar's work bridges theoretical computer science with practical applications in healthcare, business analytics, and educational technology. She has made significant contributions to semantically enriched e-learning resources, intelligent tutoring systems, and data analytics for crisis management, with particular expertise in applying analytical techniques to solve complex real-world problems across multiple domains. Dr. Zhuhadar's publication record demonstrates a consistent focus on applying advanced data analytics techniques to solve real-world problems. Her recent work has increasingly focused on healthcare applications, including stroke prediction, diabetes diagnosis, and ecosystem management. She has also maintained a strong interest in educational data mining, particularly in understanding student success pathways in STEM disciplines. Her research methodology often combines semantic web technologies with traditional data mining approaches to create innovative solutions. Her scientific achievements have been recognized through numerous awards: College Faculty Award for Research & Creativity (2023-2024) College Faculty Award for Service (2023-2024) College Faculty Award for Research & Creativity (2022-2023) College Faculty Award for Teaching (2021-2022) University Award for the Most Prolific Grant Proposer (2014-2015) Dr. Zhuhadar has secured over $600,000 in external research funding and more than $100,000 in internal grants. She has served as Principal Investigator on diverse projects ranging from AI applications in healthcare to financial fraud detection. Her mentorship of undergraduate students through the WKU Faculty-Undergraduate Student Engagement program has resulted in numerous collaborative research projects and conference presentations, with over 15 students co-authoring publications and presentations with her in the past two years alone. As Director of the WKU Center for Applied Data Analytics, Dr. Zhuhadar has built a thriving research infrastructure that supports faculty and student research across multiple disciplines. Under her leadership, the Center secured over $101,000 in research grants in 2022-2023, with 33% of funds allocated to support student educational pursuits. She has organized multiple webinar series and research enrichment programs to build data analytics capacity across the university community.

Matthias Wredeمشاهده پروفایل

استاد

• Social Policy
• Public Finance
• Regional Economics
• +۳ مورد دیگر

Professor Matthias Wrede holds the Chair of Economics, especially Social Policy at Friedrich-Alexander University Erlangen-Nuremberg (FAU) within the Department of Business, Economics, and Social Sciences. Previously, he served as Professor of General Economics and Public Finance at RWTH Aachen University (2002-2007) and held the Chair of Economics with a focus on Public Finance at the University of Marburg (2007-2010). He is an active researcher with numerous international collaborations and affiliations including CESifo Research Fellow and membership in committees for Public Finance, Regional Theory and Policy, and Social Policy of the Association for Social Policy. University of Heidelberg (Economics studies) University of Bamberg (Doctorate 1993, Habilitation 1998) Research visits to Oklahoma State University, ifo Institute, University of Alberta, Barcelona Economics Institute, University of Exeter, and University of Tokyo Professor Wrede's research focuses on social policy, public finance, and regional and urban economics, with particular emphasis on housing policy, fiscal federalism, and regional redistribution mechanisms. His work bridges theoretical economic analysis with practical policy applications, examining issues such as housing cooperatives, regional disparities in living conditions, and the political economy of fiscal transfers. His interdisciplinary approach connects economics with political science and sociology to address complex societal challenges. His recent publications (2019-2024) demonstrate consistent scholarly output across multiple high-impact journals, with research trending toward increasingly applied policy questions related to housing markets, regional development, and social equity. His work shows strong methodological diversity, employing both theoretical modeling and empirical approaches including survey experiments and large-scale data analysis. As an active member of FAU's research community, Professor Wrede contributes to multiple interdisciplinary research focuses including 'Taxes and tax policy' and 'Work in transition,' collaborating with colleagues across economics, business administration, and social sciences to address pressing societal challenges. Member of committees for Public Finance, Regional Theory and Policy, and Social Policy of the Association for Social Policy CESifo Research Fellow Active participant in international research networks Professor Wrede maintains strong connections with policy institutions and regularly contributes to policy debates through publications in both academic and practitioner-oriented outlets. His research has practical implications for housing policy, regional development strategies, and social welfare systems.

Caleb S. Fullerمشاهده پروفایل

دانشیار

• Economics of institutions
• Property rights
• Public choice theory
• +۵ مورد دیگر

Caleb S. Fuller is an Associate Professor of Economics in the Winklevoss School of Business at Grove City College, where he teaches courses including Seminar in Organizational Economics, Principles of Microeconomics, Intermediate Microeconomics, Econometrics, Law and Economics, Comparative Economic Systems, Public Policy, and Public Finance. He is also a Research Fellow at The Independent Institute and a Faculty Affiliate at the Law and Economics Center, George Mason University Antonin Scalia Law School. Fuller received his B.A. in Economics from Grove City College and his Ph.D. in Economics from George Mason University. His academic journey reflects his deep commitment to the Austrian School of economics, which emphasizes methodological individualism and subjectivism in economic analysis. His research centers on the economics of institutions—the formal and informal rules that enable social cooperation. Fuller integrates property rights theory, public choice, and market process traditions to understand how institutions emerge, function, and adapt. His work spans multiple domains including entrepreneurship, regulatory governance, digital privacy, and law and economics. He argues that markets generate spontaneous order through voluntary exchange, challenging conventional views of market failure. Fuller's scholarly output reveals a consistent focus on how institutional arrangements shape human behavior and economic outcomes. His publications demonstrate particular interest in rule-breaking entrepreneurial action, the economics of privacy, and the institutional foundations of economic development. His work often applies Austrian economics to contemporary policy debates, revealing market-based solutions to problems typically addressed through government intervention. Best Paper of 2022 in Journal of Business Venturing for "Made to be broken? A theory of regulatory governance and rule-breaking entrepreneurial action" Author of books including "No Free Lunch: Six Economics Lies You've Been Taught and Probably Believe" and "Mere Economics: Lessons For and From the Ordinary Business of Life" Regular contributor to academic conferences on Austrian economics Fuller actively mentors undergraduate researchers, guiding students like Sebastian Anastasi, Kurtis Hingl, Caleb VanGrouw, Janna Lu, and Alex Sodini in producing high-quality scholarly work. His students have presented papers on topics ranging from Community Supported Agriculture arrangements to the economics of dower payments in Islamic societies. He participates in Grove City College's annual conference for students presenting papers in the Austrian economics tradition, which has hosted prominent scholars including Pete Boettke, Robert Higgs, and Peter Klein.

Mark Shepardمشاهده پروفایل

دانشیار

• Health Care Markets
• Public Policy
• Health Insurance
• +۷ مورد دیگر

Mark Shepard is an Associate Professor of Public Policy at the Harvard Kennedy School of Government and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His research focuses on health care markets, particularly competition and policy design in health insurance markets, including public programs like Medicaid and the ACA exchanges. He holds a PhD in Economics (2015) and an A.B. in Applied Math (2008) from Harvard University. Before his academic role, he completed a postdoctoral fellowship at NBER and worked at the Brookings Institution. Teaching includes courses on public policy, health economics, and poverty analysis. His work examines topics such as insurance market regulation, enrollment barriers, and the economic implications of health care policies. Key affiliations include the Taubman Center for State and Local Government at HKS and NBER. Research highlights include studies on premium impacts, active purchasing policies, and universal coverage frameworks. Recent articles explore insurer responses to market regulations, the 'two-margin problem' in insurance markets, and the role of administrative burdens in coverage decisions. His policy-oriented work advocates for structured social safety nets and equitable healthcare financing models.

Sophia Gilbukhمشاهده پروفایل

استادیار

• Real Estate Economics
• Housing Market Dynamics
• Financial Economics
• +۳ مورد دیگر

Sophia Gilbukh is an Assistant Professor in the William Newman Department of Real Estate at the Zicklin School of Business, Baruch College (CUNY). She holds a PhD in Economics from NYU Stern School of Business and a BS in Mathematics from Haverford College. Her research focuses on housing market dynamics, real estate agent behavior, and policy impacts on homeownership. Education: PhD in Economics (NYU Stern), BS in Mathematics (Haverford College) Her work explores topics such as search frictions in housing markets, principal-agent problems in real estate transactions, and macroprudential applications of housing price-to-rent ratios. She has published in journals like Real Estate Economics , The Review of Financial Studies , and Journal of Monetary Economics . Recent studies analyze FHA/VA program exclusion in housing markets, agent network effects , and customer capital accumulation in pricing models. Her research has received grants from the PSC CUNY and Eugene Lang Fellowship. Scientific Awards: Zicklin Teaching Excellence Award (2020), AREUEA Homer Hoyt Dissertation Award (2019), CSWEP Summer Fellow (2017) Active in academic service, she serves on AREUEA committees, reviews for journals like The Review of Financial Studies , and advises student competitions. Her expertise intersects real estate economics, financial policy, and applied microeconomic theory.

Xiaohui Liuمشاهده پروفایل

استاد

• Intelligent Data Analysis
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Professor Xiaohui Liu is a distinguished Professor of Computing at Brunel University London, serving within the Computer Science department of the College of Engineering, Design and Physical Sciences. He maintains his office in the Wilfred Brown Building (Room 218) and has established himself as a leading figure in intelligent data analysis and artificial intelligence research. With over 20 years of academic leadership, Professor Liu has held significant visiting appointments including Honorary Pascal Professor at Leiden University (2004), Visiting Scientist at Harvard Medical School (2005), and Visiting Professor at the Chinese Academy of Sciences (2010). Professor Liu's research spans intelligent data analysis, deep learning, dynamical systems, human factors, innovative AI applications, optimisation, statistical pattern recognition, and trustworthy decision making. His work bridges theoretical advances with practical implementations across various industries, demonstrating exceptional translational impact. He has pioneered approaches that integrate artificial intelligence with data science to enable effective data interpretation and trustworthy decision-making systems, with applications spanning healthcare, manufacturing, and business domains. Analysis of Professor Liu's recent publications reveals a strong focus on transformer architectures, transfer learning, and optimization techniques applied to real-world problems. His work demonstrates consistent innovation in neural network architectures, particularly for anomaly detection, fault diagnosis, and recommendation systems. The publications show interdisciplinary applications spanning manufacturing, healthcare, digital marketing, and network science, reflecting his commitment to solving practical challenges through advanced computational methods. Clarivate Highly Cited Researcher for 11 consecutive years (2014-2024) World's top 2% of scientists by Stanford University (2020-2024) ScholarGPS Highly Ranked Scholar – Lifetime: Neural Network (2022-2024) Daniel Berg Award (2023) Research.com United Kingdom Leader Award in Computer Science (2023-2025) IDA Founders Award (2025) Professor Liu has secured substantial research funding from diverse sources including the European Commission, Innovate UK, Royal Society, and EPSRC. His current projects include AI-assisted tax assessment, intelligent data-driven pipelines for manufacturing certified metal parts, and maintenance models for zero-unexpected-breakdowns. He leads collaborative efforts through knowledge transfer partnerships with industry partners like Veritas Advisory Limited and has directed multiple European Commission-funded initiatives focused on IoT platforms, water resource management, and predictive maintenance systems. His research group actively mentors PhD students and collaborates with international partners across multiple continents. Professor Liu leads research activities within the IEHS and CSSB research groups at Brunel University, fostering interdisciplinary collaboration between computer scientists, engineers, and domain experts. His teams integrate expertise in neural networks, optimization algorithms, and statistical pattern recognition to develop innovative solutions for complex real-world problems. The research environment emphasizes both theoretical rigor and practical application, with strong industry partnerships ensuring that research outputs deliver tangible societal and economic impact.

Joana Isabel de Paulo Duarteمشاهده پروفایل

استادیار مهمان

• Mathematics Education
• Educational Technology
• Programming and Robotics in Education
• +۳ مورد دیگر

Joana Isabel de Paulo Duarte is a Visiting Assistant Professor (Assistente convidado) at the Polytechnic Institute of Viseu – School of Education since February 2024 and a certified trainer (CCPFC/RFO-42138/23) recognised by the Scientific-Pedagogical Council for Continuing Education. She concurrently serves as a mathematics teacher under the Portuguese Ministry of Education. Education 2007 – Licenciatura (BSc) in Mathematics, Catholic University of Portugal – Centro Regional das Beiras (thesis: Vehicle Routing Problem – Linear Programming ) 2015-2016 – Post-Graduate Certificate in Financial and Tax Management of Enterprises, University of Coimbra – Faculty of Economics 2024-present – MSc in Teaching Mathematics (3rd Cycle Basic & Secondary Education), University of Coimbra (in progress) Research & Professional Interests Duarte’s work centres on Mathematics Education enriched with Educational Technology , Programming and Robotics , and Computational Thinking . She integrates digital tools such as Scratch, Python, TI-Nspire, Micro:Bit, GeoGebra and Tinkercad CodeBlocks into classroom practice, and explores Augmented Reality and AI-driven educational resources to foster active learning scenarios. Her continuous professional development portfolio includes more than 40 certified courses and MOOCs covering gamification, digital laboratories, coding, robotics and inclusive education, evidencing a sustained commitment to innovative pedagogies. Scientific Awards 2023: 3rd National Place – International Statistical Poster Competition (2022-2023), awarded by the Portuguese National Institute of Statistics (INE) Projects & Grants Duarte has coordinated and delivered teacher-training actions financed by the Portuguese Ministry of Education, APM (Mathematics Teachers Association), eduFor Training Centre, and other bodies. She has been a key trainer in two ERASMUS+ funded initiatives: Digischools (2023) CodeInnova (2022) These projects focus on digital competences, programming and robotics across European schools. Teaching & Training Roles Since 2023 she is an accredited trainer delivering courses on: Excel for mathematics classrooms Python programming for applied mathematics TI-Nspire technology for mathematical modelling Scratch for computational thinking Micro:bit gamified mathematics These activities are aimed at in-service mathematics and science teachers throughout Portugal.

David Gordonمشاهده پروفایل

استاد

• Economics
• Finance
• Behavioral Economics
• +۴ مورد دیگر

David Gordon serves as Professor and Chair of BBA programs in Accounting, Entrepreneurship, Finance, and Healthcare Management at the University of St. Francis since 2008. Holding a D.B.A. from Argosy University, he has established significant scholarly contributions in economics and finance, recognized by the University of St. Francis Achievement in Scholarship Award (2015). His educational background includes: B.A., University of South Florida M.A., University of South Florida D.B.A., Argosy University Gordon's research critically examines intersections between economic theory and practical applications, with particular focus on behavioral economics deficiencies, Federal Reserve policy mechanisms, and financial education methodologies. His work challenges lexicographic preference models while analyzing thick indifference curves in consumer behavior. He has extensively documented the global ramifications of monetary policy tools and developed pedagogical frameworks for capital asset pricing applications in economic contexts. His publication trajectory reveals consistent emphasis on real-world economic problem-solving, evolving from foundational work on production functions (2010-2011) toward contemporary analyses of healthcare surcharges (2021) and Fed policy tools (2019-2020). Behavioral economics critique remains a throughline, complemented by growing attention to student financial literacy and real estate economics. Key recognitions include: Acton Institute Good Society Grant (2019) University of St. Francis Achievement in Scholarship Award (2015) Multiple 'Best Paper' selections at American Society of Business and Behavioral Sciences conferences across General Economics, Applied Economics, and National/International Issues tracks While specific student mentorship details aren't provided, his research demonstrates sustained grant support through awards like the Acton Institute grant. His scholarly output shows consistent conference participation and journal publications addressing both theoretical economic questions and practical financial education needs. The 2014 'Best Manuscript' selection for work on long-term financial theories highlights the applied relevance of his research.

Dermot Leahyمشاهده پروفایل

دانشیار

• International Trade
• Industrial Organization
• Oligopoly
• +۳ مورد دیگر

Dermot Leahy is an Associate Professor in the Department of Economics at Maynooth University (joined 2007). He previously taught at the University of Birmingham (1994-1995) and University College Dublin (1995-2007). His research focuses on International Trade and Industrial Organization , with particular emphasis on oligopoly dynamics, R&D spillovers, and strategic policy design. PhD in Economics (1994) from University College Dublin Current affiliation: Department of Economics, Maynooth University Research Themes: Leahy's academic work spans trade policy analysis, multinational firm behavior, and industrial policy evaluation. His publications demonstrate expertise in modeling strategic interactions in global markets, analyzing R&D incentives, and assessing the impacts of employment protection laws on corporate location decisions. Recent work examines pandemic-era trade policy cooperation. Publication Trends: Over 30+ years, Leahy has explored oligopoly frameworks, FDI mechanisms, tax policy coordination, and R&D-driven market competition. His work consistently applies game theory to trade and industrial policy problems, with a strong focus on mathematical economics modeling.