جستجوی استاد راهنمای دانشگاهی

Richard Hoflerمشاهده پروفایل

استاد

• Econometrics
• Health Economics

Richard Hofler is Professor of Economics at the University of Central Florida's College of Business, Department of Economics. His major research focuses on econometrics and health economics, with work funded by the National Science Foundation, National Institute on Minority Health and Health Disparities, and Agency for Healthcare Research and Quality. He has served as Department Chair and Interim Dean. Hofler's research examines economic efficiency in healthcare systems, health disparities in rural populations, and econometric modeling techniques. His recent articles analyze accountable care organizations, rural health outcomes, and statistical methods for count data analysis. His publications demonstrate consistent focus on healthcare economics, econometric modeling, and policy analysis. Research trends show increasing emphasis on health disparities in Latinx communities and methodological advances in stochastic frontier analysis. As former department chair and interim dean, Hofler has significant leadership experience in academic administration and graduate education.

Konstantinos Metaxoglouمشاهده پروفایل

دانشیار

• Econometrics
• Environmental Economics
• Energy Economics
• +۴ مورد دیگر

Konstantinos Metaxoglou is an Associate Professor in the Department of Economics at Carleton University, affiliated with the Faculty of Public and Global Affairs. He holds a Ph.D. in Economics from the University of California, Davis, and previously worked as a senior consultant and manager at Bates White LLC in Washington DC. His research focuses on Energy and Environmental Economics, Industrial Organization, and Applied Econometrics, with notable expertise in discrete-choice demand models, quantile applications in finance, and electricity market analysis. Dr. Metaxoglou has published extensively in top journals such as the American Journal of Agricultural Economics and the International Journal of Industrial Organization. His work frequently addresses environmental policy implications, energy market dynamics, and the economic impacts of climate change. Notably, he received the IJIO Best Empirical Paper Award in 2019 for his research on shale gas and electricity markets. His current research explores topics like nitrogen legacy effects in agriculture, coal trade impacts, and electric transportation challenges. Beyond academia, he contributes to policy discussions on sustainable resource management and energy transition strategies. Education: B.A. in Economics, University of Macedonia M.Sc. in Economics, University College London (UCL) Ph.D. in Economics, University of California, Davis Research Interests: Environmental and Energy Economics Quantitative Methods in Finance Industrial Organization Electricity Market Regulation Climate Change Mitigation Strategies Key Contributions: His work bridges empirical analysis with policy design, particularly in assessing market structures, carbon emissions, and productivity spillovers. Recent projects include analyzing the nitrogen pollution crisis in agriculture and the economic implications of shale gas on coal markets. Awards & Recognition: IJIO Best Empirical Paper Award 2019 Professional Activities: Dr. Metaxoglou collaborates with institutions like NBER and has authored over 20 peer-reviewed articles. He maintains active involvement in policy dialogues on energy transition and sustainable development, leveraging his expertise in econometric modeling to inform real-world decisions.

Junhong Minمشاهده پروفایل

دانشیار

• Relationship Governance
• Unstructured Data Analysis
• Brand Strategy
• +۲ مورد دیگر

Junhong Min is an Associate Professor of Marketing at Michigan Technological University's College of Business. His research examines relationship governance in B2B contexts, unstructured data analytics, and consumer behavior. Prior to academia, he worked as a senior research executive at Nielsen and Maritz Marketing Research. Publications emphasize experimental marketing research, brand strategy, and behavioral economics, with applications in alumni relations, sponsorship, and innovation management.

• Behavioral Finance
• Investment Decision Models
• Neural Networks
• +۳ مورد دیگر

Philip Yim Kwong Cheng is a Senior Lecturer affiliated with the Peter Faber Business School under the Faculty of Law and Business at Australian Catholic University. His research focuses on behavioral finance, investment decision models, and applications of neural networks in financial contexts. He has contributed extensively to understanding audit judgment, financial decision-making processes, and institutional impacts on organizational change. Key research themes include the interplay between emotions and investment decisions, risk perception in financial markets, and cognitive models in auditing. He has also explored topics like global sourcing partnerships in emerging markets and the role of knowledge systems in urban development. Cheng has published over 20 peer-reviewed articles in journals such as the Journal of Behavioral Finance, Computational Intelligence, and Journal of Knowledge Management. His work often bridges artificial intelligence techniques (e.g., fuzzy neural networks) with financial and organizational challenges.

William Matchamمشاهده پروفایل

استادیار

• Industrial Organization
• Household Finance
• Innovation
• +۴ مورد دیگر

Dr. William Matcham is an Assistant Professor (Lecturer) in Economics at Royal Holloway University of London, specializing in Industrial Organization, Household Finance, and Innovation. He holds a PhD in Economics from the London School of Economics (LSE), with prior teaching experience in microeconomics and econometrics at LSE. Education: PhD in Economics, LSE (2023) MRes Economics (Distinction), LSE (2018) MSc Econometrics and Mathematical Economics (Distinction, Ely Devons Prize), LSE (2015) BSc Econometrics (First Class Honours, Performance Prize), LSE (2014) Research Interests: Will’s work focuses on credit markets, patent screening, and innovation policy. He employs structural econometric models to analyze strategic behavior in financial markets and intellectual property systems. His recent studies include quantifying the social costs of patent screening and evaluating risk-based credit limits. Awards & Grants: Recipient of STICERD Grant (2020–2024) Paul Woolley Centre Scholarship (2022–2023) Thomas Edison Innovation Fellowship (2022–2023) Professional Affiliations: Research Affiliate at STICERD LSE, Research Scholar at the Institute for Fiscal Studies, and External Scholar at the Sunwater Institute. He also serves as an Academic Contractor for the UK Financial Conduct Authority. Teaching & Supervision: Currently teaches Industrial Economics II and supervises PhD student Matthew Baker. Previously taught econometrics and microeconomics at LSE. His pedagogical focus includes applying data analysis to financial decision-making. Publications & Media: Working papers under review at Econometrica and Journal of Financial Economics . Policy reports on patent quality have been covered by MarketWatch and IP Watchdog. Active in academic seminars and conferences globally.

Marc Noyمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Discrete Geometry
• +۳ مورد دیگر

Marc Noy is a Professor at the Department of Applied Mathematics II, Polytechnic University of Catalonia (UPC), affiliated with the School of Mathematics and Statistics. He is the Director of the Barcelona Graduate School of Mathematics (BGSMath) and leads the 2015-2019 Excellence program BGSMath/María de Maeztu. His research focuses on Combinatorics and Graph Theory, including asymptotic enumeration, random graphs, discrete geometry, and Tutte polynomials. He has advised multiple PhD and Master’s students and contributes to editorial roles for the Electronic Journal of Combinatorics and the Catalan Mathematical Society’s Bulletin. His teaching spans undergraduate and graduate courses in Combinatorics, Graph Theory, Complex Analysis, and Discrete Mathematics at UPC. He has participated in numerous international conferences and workshops, including the ICM 2014 and FOCM 2017. His work emphasizes the probabilistic analysis of graph structures, limit laws, and enumerative combinatorics. His recent publications explore topics like logical limit laws in graph classes, random planar graphs, and Tutte polynomial evaluations. He maintains active collaborations in combinatorial enumeration, with contributions to understanding graph properties in minor-closed classes and random geometric configurations.

Zachary Pattersonمشاهده پروفایل

استاد

• Transportation Engineering
• Data Science
• Machine Learning
• +۵ مورد دیگر

Zachary Patterson is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on emerging technologies in transport-related data collection, computational geospatial data processing, and the application of statistical and artificial intelligence techniques to transportation and environmental challenges. He specializes in discrete choice experiments, greenhouse gas emission prediction, and smart mobility solutions. Dr. Patterson's work integrates machine learning, graph neural networks, and geospatial analysis to address complex issues such as public transit optimization, passenger flow prediction, and environmental impact assessment. He has developed frameworks for privacy-preserving data collection and innovative solutions for on-demand transit systems. His interdisciplinary approach bridges computer science, transportation engineering, and environmental science. Notable contributions include the TMS-GNN model for traffic-aware passenger flow prediction, HydroVision for hydrometric forecasting, and frameworks for electric vehicle adoption analysis. His research often emphasizes interpretability of black-box machine learning models and the ethical use of data in urban systems. Dr. Patterson has authored over 50 publications, with a focus on transportation data analytics, sustainability, and smart cities. His work has been applied in real-world contexts such as Montreal’s transportation infrastructure and environmental policy design.

Shohel Aminمشاهده پروفایل

مدرس

• Transport Infrastructure Asset Management
• Transportation Planning and Modelling
• Climate Change Resilient Road Structures
• +۷ مورد دیگر

Dr. Shohel Amin is a Programme Director of BSc Transport Management at Aston University's School of Infrastructure and Sustainable Engineering, part of the Engineering for Sustainable Development research group. He holds a visiting professorship at Xi'an Technological University (China) and is a Fellow of both the Chartered Institution of Highways & Transportation (CIHT) and Advance HE. With over 20 years of experience, his expertise spans transportation planning, asset management, sustainable infrastructure, and machine learning applications. Education: PhD in Civil Engineering from Concordia University (2016), postdoctoral research at Concordia, and a professional certificate in Discrete Choice Analysis from MIT. He has taught at Coventry University and contributed to projects such as Rural Economy Canada as a part-time data analyst. Research focuses on transport infrastructure resilience, climate change adaptation, and sustainable practices. Recent studies include neural network applications for bicycle traffic analysis, automated vehicle adoption barriers, and decarbonization strategies in India. He has authored/co-authored 58 peer-reviewed outputs, integrating machine learning with transportation systems and infrastructure materials. Awards include CIHT Fellowship and membership in the Academy of Urbanism. His advisory work includes supervising PhD students and leading interdisciplinary teams on projects like pavement management systems and metro construction safety. He actively engages in policy development for resilient road networks and sustainable urban mobility solutions.

Daniel Chavezمشاهده پروفایل

استادیار

• Marketing Strategy
• Sales and Sales Management
• Applied Econometrics
• +۳ مورد دیگر

Daniel Chavez is an Assistant Professor of Marketing at the Haslam College of Business, University of Tennessee, Knoxville. He holds dual Ph.D.s in Marketing and Supply Chain (University of Kentucky, 2022) and Managerial Economics (Texas A&M, 2020), alongside an M.Sc. in Agricultural Economics and B.Sc. in Agronomy & Food Science. His research focuses on sales and pricing strategies, applying quantitative models to large datasets and experimental methods to inform sales organizations. Education: 2022: Ph.D., Marketing and Supply Chain, University of Kentucky 2020: Ph.D., Managerial Economics, Texas A&M University 2015: M.Sc., Agricultural Economics, Texas A&M University 2002: B.Sc., Agronomy & Food Science, Zamorano Research emphasizes applied econometrics, marketing strategy, and sales management. His work bridges theoretical models with real-world applications, leveraging experimental auctions, eye-tracking, and discrete choice analyses. Recent studies address corporate-government relations, consumer preferences for agricultural products, and innovation strategy. Publications span topics from fracking’s employment impacts to PCSR’s role in multi-cultural markets. Despite no listed awards, his work demonstrates methodological rigor and interdisciplinary reach. Teaching and advising roles are not detailed here, but his professional experience includes 12 years in the private sector, including global management roles at Fortune 300 firms.

Loukia Meligkotsidouمشاهده پروفایل

دانشیار

• Bayesian Inference
• Computational Statistics
• Hidden Markov Models
• +۴ مورد دیگر

Loukia Meligkotsidou is an Associate Professor of Statistics at the Department of Mathematics of the National and Kapodistrian University of Athens. She holds a BSc in Statistics from Athens University of Economics and Business (2002) and a PhD in Statistics from Lancaster University (2005), focusing on filtering methods for population genetics, phylogenetics, and mixture models. Her research interests span Bayesian inference, computational statistics, hidden Markov models, biostatistics, and econometrics. She teaches undergraduate courses on Bayesian Inference and postgraduate courses on Time Series analysis. Her work emphasizes methodological advancements in statistical modeling, particularly in longitudinal data analysis, competing risks, and model uncertainty. Recent publications address issues like shared parameter models for longitudinal data, Bayesian unit root testing, and quantile regression approaches in financial forecasting. She is a Fellow of the Royal Statistical Society and active in professional societies like ISBA and IMS. Her research integrates theoretical contributions with applied problems in economics, finance, and biology. Notable contributions include frameworks for handling informative dropout mechanisms and developing efficient Bayesian computational methods for complex models. Her work bridges statistical methodology and real-world applications, particularly in econometrics and biostatistics.

Christian Vosslerمشاهده پروفایل

استاد

• Environmental Economics
• Public Economics
• Experimental Economics
• +۵ مورد دیگر

Christian Vossler is the J. Fred Holly Chair of Excellence in the Department of Economics at the University of Tennessee's Haslam College of Business. He directs the UT Experimental Economics Laboratory and serves as a fellow of the Howard H. Baker Jr. Center for Public Policy and the Center for Behavioral and Agri-Environmental Research (C-BEAR). As an applied microeconomist, his research focuses on environmental and public economics, non-market valuation, regulatory compliance mechanisms, and experimental economics. He earned his Ph.D. in Applied Economics from Cornell University (2003), an M.S. in Agricultural and Resource Economics from Oregon State University (1999), and a B.S. in Environmental and Resource Sciences from the University of Nevada (1997). His research explores the validity of survey-based valuation methods, pollution control instruments, and tax compliance mechanisms. He has advised numerous graduate students and serves as editor for the Journal of the Association of Environmental and Resource Economists and co-editor for Environmental & Resource Economics . His awards include the EAERE Best Paper Award (2015, 2013) and the G.F. Warren Award (2003). Awards: Referee Award (2022), Outstanding Reviewer (2005), Haslam Summer Scholar (2021–2023). Grants: Supported by the IRS, EPA, US Air Force, and Russell Sage Foundation. Labs: UT Experimental Economics Laboratory focuses on human behavior in economic contexts, including experiments on public goods, tax compliance, and environmental policies. His teaching includes courses in econometrics, environmental economics, and behavioral economics. He has published extensively on topics such as tax withholding effects, water quality valuation, and experimental methods in policy design.

• Health Policy
• Refugee Health
• Global Health
• +۳ مورد دیگر

Ana Rita Sequeira is a Senior Lecturer in Health Policy at the Murdoch Business School, Murdoch University, and serves as the Associate Dean for Learning and Teaching. She chairs the Health Administration, Policy and Leadership Program. Her roles emphasize academic leadership in health policy, education innovation, and global health governance. Education: She holds a PhD in Sociology and Public Policies from the University Institute of Lisbon (ISCTE-IUL), focusing on malaria management in Mozambique. Additional qualifications include a Bachelor of Applied Arts in Anthropology (1st Class Honours) and a Graduate Certificate in African Studies. Research Interests: Ana's work spans Health Policy , Global Health , Healthcare Administration , and COVID-19 Policy Analysis . She explores cross-national pandemic responses, volunteer-driven dementia care, and strategies to strengthen health systems. Her recent projects include the International COVID-19 Vaccine Preferences Project and studies on rare disease impacts. Awards: 2020 Vice-Chancellor Learning and Teaching Citation, Murdoch University 2020 Excellence in Learning and Teaching Award, Murdoch University Leadership & Grants: As Academic Chair for Health Administration programs, she designs curricula aligning with industry needs. Her research has been supported by grants including the Australian Development Research Awards Scheme (2015). Affiliations: She maintains a Research Associate role at ISCTE-IUL and contributes to global health initiatives in Africa and Latin America.

Alexander J. Buoyeمشاهده پروفایل

دانشیار

• Service Marketing
• Customer Loyalty and Satisfaction
• Share of Wallet
• +۷ مورد دیگر

Alexander J. Buoye is an Associate Professor of Marketing at St. John’s University’s Peter J. Tobin College of Business. He holds a PhD and MA in Sociology from the University of Notre Dame, along with a BBA in Marketing from the same institution. His research focuses on customer satisfaction, loyalty, and firm performance, with applied expertise in predictive modeling and analytics from his tenure as former Head of Loyalty Analytics and SVP at Ipsos. Dr. Buoye’s teaching interests include Marketing Analytics, Digital Marketing, and Marketing Research, while his research spans service marketing, customer commitment, and big data applications. He has contributed to prestigious journals like the Journal of Service Research and Harvard Business Review, and co-authored the New York Times Bestseller The Wallet Allocation Rule: Winning the Battle for Share . Education: PhD in Sociology, University of Notre Dame MA in Sociology, University of Notre Dame BBA in Marketing, University of Notre Dame Awards: 2011 Next Gen Market Research Disruptive Innovator Award 2013 Best Practitioner Award (Frontiers in Service) 2015 Robert Johnston Award (Journal of Service Management) Courses Taught: Marketing Research Seminar, Digital Marketing Analytics, Pricing Strategies, and more. His work emphasizes bridging academic research with industry applications, particularly in leveraging data-driven insights for customer-centric strategies. Though no lab affiliations are explicitly mentioned, his collaborative projects with firms like Ipsos highlight industry partnerships.

Alfred Galichonمشاهده پروفایل

استاد

• Optimal Transportation Theory
• Economics
• Finance
• +۵ مورد دیگر

Alfred Galichon is a full professor of Economics and Mathematics at New York University (NYU), holding dual appointments in the NYU Arts & Science and NYU Courant Institute. He also serves as the Director of NYU Paris and is an affiliated professor of Data Science at NYU’s Center for Data Science. His research focuses on Optimal Transportation theory and its applications to economics, finance, and data science. Galichon is a Fellow of the Econometric Society and leads the ERC-funded ‘EQUIPRICE’ project on equilibrium methods for resource allocation and dynamic pricing. Education: Ph.D. in Economics, Harvard University (2007) M.S. in Engineering, École des Mines de Paris (2003) B.S. in Mathematics and Economics, École Polytechnique (2000) Research Interests: Optimal Transport, Matching Models, Microeconometrics, Dynamic Discrete Choice, Machine Learning, and Computational Economics. Recent Activities: Teaches advanced courses on computational economics and optimal transport at NYU. Organizes workshops and conferences on topics like gross substitutes and equilibrium transport. Authored books including Optimal Transport Methods in Economics and Mathematical Methods of Discrete Choice Models .

• Social Choice Theory
• Proportional Representation Systems
• Voting Systems
• +۳ مورد دیگر

Alexander Viktorovich Karpov is an Assistant Professor in the Department of Theoretical Economics at the Faculty of Economic Sciences, National Research University Higher School of Economics (HSE). He is also a Senior Research Fellow at the International Centre of Decision Choice and Analysis. Since joining HSE in 2007, he has held roles including Lecturer, Teaching Assistant, and PostDoc at Heidelberg University (2015–2016). His academic journey includes a Candidate of Sciences (PhD) in Mathematical and Instrumental Methods in Economics (2012) and degrees from HSE’s economics programs. Research Interests: Focus on Social Choice Theory, Proportional Representation Systems, Voting Rules, and Preference Structures. Recent work explores axiomatic foundations of voting mechanisms, Condorcet domains, and computational aspects of election design. Current projects include game-theoretic justifications for proportional representation and analysis of voting in corporate governance. Publications: Over 40 peer-reviewed articles in journals like Theory and Decision , Journal of Mathematical Psychology , and Group Decision and Negotiation . Recent work emphasizes theoretical advancements in structured preferences and election complexity, reflecting his expertise in bridging mathematics and social sciences. Awards: Recipient of the 2023 HSE Best Russian Research Paper Award, 2012 Best Teacher Prize, and multiple grants for high-impact publications. His contributions to academic excellence are recognized through HSE’s Young Faculty Support Programme (2011–present). Advising & Grants: Supervised 3 PhD/Master’s students on topics like network markets and voting systems. Active in international collaborations, including postdocs at Nanyang Technological University (Singapore) and TU Berlin. Editor roles include Journal of the New Economic Association and Group Decision and Negotiation . Labs/Teams: Core member of the International Centre for Analysis and Decision Making, leading projects on collective choice and decision theory. Participates in global conferences like the Group Decision and Negotiation (GDN) and Society for Social Choice and Welfare (SSCW).>