Zhengtian Xu is an Assistant Professor in the Department of Civil & Environmental Engineering at George Washington University , affiliated with the School of Engineering & Applied Science . His research focuses on optimizing urban transportation systems through mathematical modeling and data-driven analysis, emphasizing emerging mobility services and vehicle technologies. Education: B.S., Tsinghua University (2014) M.S., University of Florida (2016) Ph.D., University of Michigan (2020) Research interests include urban transportation systems, mathematical modeling, operations research, and sustainable mobility solutions. His work addresses challenges such as electrification of ride-hailing services, driver labor dynamics, and last-mile delivery optimization. Recent publications explore topics like drone delivery networks and platform competition in autonomous vehicle markets. No academic awards or student advisees are listed. His articles highlight trends in electrification strategies, behavioral driver dynamics, and urban logistics optimization. He has not disclosed grants or lab affiliations in the provided information.
Charles Murry is an Associate Professor of Economics at the University of Michigan and a Research Associate at the National Bureau of Economic Research (NBER). He holds a Ph.D. from the University of Virginia (2014) and a B.S. in Economics from the University of Delaware (2006). His research focuses on empirical industrial organization and antitrust economics, with a particular emphasis on market power dynamics in industries like automobiles, airlines, and broadband. He has also contributed to econometric methodologies for analyzing market outcomes. Previously, Murry held positions at Boston College (2018–2024) and Pennsylvania State University (2014–2018). His work examines topics such as bundling strategies in public procurement, price discrimination in international markets, and regulatory impacts on market structure. He has published in top journals like the Quarterly Journal of Economics , Review of Economic Studies , and International Economic Review . Murry’s research bridges theoretical models and empirical evidence, addressing real-world policy issues such as competition enforcement and market design. He is actively involved in academic service, including contributions to antitrust-related amicus briefs and participation in policy panels.
Ralph Bailey is an Associate Professor in Economics at the University of Birmingham , affiliated with the Birmingham Business School and Department of Economics . His work bridges quantitative methods and philosophy of research and enquiry , with methodological contributions to econometrics and mathematical economics. Education : BSc (Durham), MA (Lancaster), MSocSc (Birmingham) His publications focus on statistical modeling, time series analysis, and theoretical economics, including works on deunionization impacts , ARMA processes , and public good provision under ambiguity . Recent studies explore earnings dispersion, near-integration in regression, and macroeconomic sustainability frameworks. Contact : r.w.bailey@bham.ac.uk
Lirong Xia is a Professor of Computer Science at Rutgers University - New Brunswick and Deputy Director of DIMACS (Center for Discrete Mathematics and Theoretical Computer Science). He holds a Ph.D. in Computer Science from Duke University, an M.A. in Economics from Duke, and a B.E. in Computer Science and Technology from Tsinghua University. His research focuses on the intersection of artificial intelligence, machine learning, and social choice theory, addressing challenges in voting systems, fair division, privacy, and multi-agent systems. Key research areas include algorithmic fairness, computational social choice, and mechanism design. Recent work explores equitable voting rules, privacy-preserving mechanisms, and strategic behavior analysis. Notable publications include advancements in computational social choice and privacy in voting systems. Xia has been recognized with prestigious awards such as the NSF CAREER Award and IEEE’s “AI’s 10 to Watch.” Education: Ph.D. Computer Science, Duke University (2011) M.A. Economics, Duke University (2010) B.E. Computer Science and Technology, Tsinghua University (2004) Awards: NSF CAREER Award Simons-Berkeley Research Fellowship 2018 Rensselaer James M. Tien’66 Early Career Award IEEE Intelligent Systems “AI’s 10 to Watch” Advising: Supervised over 30 students, including PhDs and master’s candidates in AI, algorithms, and social choice theory.
Manxi Wu is an Assistant Professor in Cornell University's School of Operations Research and Information Engineering, specializing in societal networks and game-theoretic approaches to system design. Her research develops computational models for strategic learning and incentive mechanisms in socio-technical systems, with applications to transportation networks and digital platforms. Education: B.S. Applied Mathematics, Peking University (2015) M.S. Transportation, Massachusetts Institute of Technology (2017) Ph.D. Social and Engineering Systems, Massachusetts Institute of Technology (2021) Her research integrates game theory, optimization, and machine learning to address challenges in autonomous services, traffic management, and decentralized decision-making. Current investigations focus on adaptive incentive structures, spatial resource allocation, and equilibrium analysis in complex networked environments. Publication analysis reveals consistent emphasis on game-theoretic frameworks applied to urban mobility systems, with recent work exploring multi-agent reinforcement learning, congestion pricing equity, and electric fleet management. Methodological innovations include novel convergence proofs for decentralized algorithms and computational approaches to fairness constraints. Awards and Honors: Hammer Fellowship UTC Milton Pikarsky Memorial Award Siebel Scholarship EECS Rising Star recognition No information is currently available regarding student advising, research grants, or laboratory affiliations.
Roles & Affiliations: Professor of Applied Economics and Head of the Economics Division at Stirling Business School, University of Stirling. Member of the Stirling Behavioural Science Centre. Former member of the UK Food Standards Agency’s Social Science Research Committee (6 years). Active in interdisciplinary research on consumer behavior, decision-making, and preference elicitation. PhD in Economics (University of Manchester) MSc in Resource Economics (University of Massachusetts Amherst) Research Focus: Intersection of applied microeconomics, public health, and behavioral science. Specializes in consumer choice, decision-making processes, and methodological innovations like discrete choice experiments and best-worst scaling. Key themes include food safety perceptions, risk communication, trust in institutions, and health intervention design. Methodological contributions address preference heterogeneity, attribute non-attendance, and survey design rigor. Grants & Awards: Secured NIHR CLAHRC grants (2013-14), SIRE Early Career Engagement Grant, and Stirling Management School Seed Fund. Nominated for 2025 Teacher of the Year RATE Awards. Recognized for Best PechaKucha Presentation. Advising & Engagement: Supervises PhD students and research assistants. Serves as External Examiner for PhD theses. Collaborates with policymakers via the UK Food Standards Agency and public health initiatives. Leads projects on healthcare innovation prioritization and sustainable food systems. Labs & Networks: Core member of the Stirling Behavioural Science Centre. Engaged with interdisciplinary teams in health economics and global food security research. Active in the Scottish Institute for Research in Economics (SIRE).
David Baqaee is a Professor of Economics at the University of California, Los Angeles (UCLA), affiliated with the Department of Economics in the College of Letters and Science. His research focuses on aggregation and heterogeneity in macroeconomics, particularly examining how resource misallocation from market power, nominal rigidities, and increasing returns to scale impacts aggregate productivity. He has contributed to prestigious journals such as Econometrica and the American Economic Review. Education: Ph.D. Economics, Harvard University; B.Sc. Mathematics and Economics, University of Canterbury His research interests span applied economic theory, industrial organization, macroeconomics, and network economics. Recent work explores trade wars, sanctions' long-term effects, energy import dependencies, and the interplay between monetary policy and supply-side dynamics. He has served as an associate editor for Econometrica and the Quarterly Journal of Economics. His publications reflect a focus on policy-relevant macroeconomic questions, including the consequences of geopolitical events, trade restrictions, and pandemic impacts on global supply chains. His methodologies emphasize disaggregated models and input-output networks to capture microeconomic foundations of aggregate phenomena.
Aris T. Pagourtzis is a Professor of Computer Science at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), where he also serves as the Head of the Computer Science Division. He is additionally a Lead Researcher at the Archimedes Research Center, Athena RC. His academic career includes positions at the University of Ioannina, the University of Liverpool, the ETH Zuerich, the University of Athens, and the Athens University of Economics and Business. Education: Diploma in Electrical Engineering (1989) and Ph.D. in Electrical and Computer Engineering (1999), both from the National Technical University of Athens Professor Pagourtzis's research spans multiple areas of theoretical computer science, with particular emphasis on computational complexity, graph algorithms, distributed algorithms, approximation algorithms, network algorithms, cryptography, and counting complexity. His work often bridges theoretical foundations with practical applications in network design, security protocols, and optimization problems. He has developed novel algorithms for problems ranging from community detection in networks to Byzantine fault-tolerant protocols and privacy-preserving voting systems. His recent publications show a continued focus on fundamental algorithmic problems while expanding into newer areas like temporal graph analysis, blockchain applications, and privacy-preserving technologies. There's a clear trend toward addressing real-world challenges through rigorous theoretical frameworks, particularly in distributed systems, secure computation, and optimization under constraints. Professor Pagourtzis has served on program and organizing committees for numerous theoretical computer science and cryptography conferences, co-chairing CIAC 2017 and FCT 2021. His research has received funding from diverse sources including US, UK, French, EU, and Greek national resources. He is actively involved in teaching both undergraduate and graduate courses at NTUA, including Algorithms and Complexity, Foundations of Computer Science, Computational Cryptography, and Network Algorithms and Complexity. He leads the Computation and Reasoning Laboratory (corelab) at NTUA, which focuses on theoretical computer science research.
Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.
Professor Denzil G Fiebig is a leading academic in econometrics and health economics, affiliated with the School of Economics at UNSW Business School . He has held visiting appointments at prestigious institutions including the University of Florida and Tilburg University. His research focuses on econometric modeling in healthcare decision-making and policy design. Member of the Australian Research Council College of Experts (2014-17) President of Australian Health Economics Society (2005-10) Chair of iHEA Scientific Committee (2016-19) His work has attracted over $AUD15.6 million in research funding from ARC and NHMRC. Key editorial roles include service on Economic Record and Social Science and Medicine . Recent publications analyze topics ranging from: Discrete choice experiments in healthcare Health insurance market dynamics End-of-life care economics Neonatal healthcare utilization Major awards include: 2016 Vice Chancellor’s Award for Teaching Excellence 2003 Fellow of the Academy of Social Sciences in Australia
Anjolein Schmeits is a Clinical Professor of Finance at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 2005. She previously served as a Visiting Assistant Professor and later as a Clinical Associate Professor before her current appointment. She holds a Ph.D. in Finance from the University of Amsterdam and an M.Sc./B.S. in Economics from Tilburg University, earned with highest honors. Ph.D. in Finance, University of Amsterdam, 1999 M.Sc./B.S. in Economics, Tilburg University, 1991 (summa cum laude) Her research centers on the interface between financial intermediation and corporate finance, particularly examining the economic role of banks and credit rating agencies, corporate governance, and financial contracting under asymmetric information. She investigates how the structure and competitiveness of the financial sector influence firms' financing choices and contract design. Her work combines theoretical modeling with empirical analysis and has strong policy implications, especially in the context of banking systems and capital market regulation. The 15 most recent publications reflect a consistent focus on financial intermediaries, credit ratings, corporate governance, and the cost and structure of corporate financing. These works span top journals and policy-oriented publications, showing a blend of academic rigor and real-world relevance. Key themes include the coordination function of credit ratings, discretion in loan contracts, and comparative analyses of bank lending and capital costs across countries. Her scientific awards highlight her excellence in teaching and research: Excellence in Teaching Award, Stern Executive MBA Program, 2008 Best Finance Paper in Economische Statistische Berichten, 1999-2000 Voted in top 3 of Best Professors in Executive MBA Program, NYU Stern, 2007 Multiple Reid Teaching Awards from Washington University (1999–2004) She has supervised and taught numerous students across undergraduate, MBA, and executive education programs at both Washington University and NYU Stern. She has led courses in Corporate Finance, Valuation, and Financial Management. Her research has been supported through academic collaborations and policy consulting, particularly in the Netherlands. She is an active member of the American Finance Association, Western Finance Association, European Finance Association, and the Financial Intermediation Research Society. Professor Schmeits maintains active research projects on credit ratings, bank competition, and corporate governance, often in collaboration with leading scholars such as Arnoud W.A. Boot and Anthony Saunders. She contributes to both academic discourse and public policy through publications in Dutch economic journals and policy reports.
Miguel F. Anjos is Professor and Chair of Operational Research at the School of Mathematics, University of Edinburgh , and holds the NSERC-Hydro-Québec-Schneider Electric Industrial Research Chair on Optimization for Smart Grids at Polytechnique Montréal. He received his B.Sc. (1992), M.S. (1994), and Ph.D. (2001) from McGill, Stanford, and Waterloo respectively. Research Theme Head of Data and Decisions at Edinburgh Founding Director of Trottier Institute for Energy Editor-in-Chief of Optimization and Engineering Research Interests: His work bridges mathematical optimization with smart grid applications , focusing on conic optimization, optimal power flow, demand response, and facility layout. He applies these techniques to energy storage, electric transportation, and industrial systems. Scientific Awards: Méritas Teaching Award (2012) Humboldt Research Fellowship (2009) Queen Elizabeth II Diamond Jubilee Medal (2013) Elected Fellow of EUROPT and Canadian Academy of Engineering Academic Service: Served on Mathematical Optimization Society Council, SIAM Activity Group on Optimization, INFORMS Optimization Society Vice-Chair, and Mitacs Research Review Committee. Hosts benchmark datasets: QAPLIB, FLPLIB, Jones Benchmark.
Kenichi Shimizu is an Assistant Professor in Econometrics (tenure-track) at the Department of Economics, University of Alberta. He holds a PhD in Economics from Brown University (2021) and previously worked at the Adam Smith Business School, University of Glasgow. His research focuses on Bayesian econometrics, quantitative marketing, industrial organization, and time-series analysis. He teaches courses such as Introductory Econometrics (ECON 399) and Applied Econometrics (ECON 599). Education: PhD in Economics from Brown University (2021). Professional affiliations include roles at the University of Alberta and University of Glasgow. His work emphasizes methodological advancements in econometrics with applications to marketing and industrial organization. Research trends in his publications highlight Bayesian methodologies for dynamic modeling, structural breaks, and high-dimensional data. Key topics include semiparametric estimation, sparse models, and policy evaluation frameworks. Grants: Recipient of SSHRC Insight Development Grant (2024-2026) for research on Bayesian econometric methods in industrial organization and marketing. Active presenter at major conferences including the NBER-NSF Seminar, Canadian Economic Association meetings, and the World Congress of the Econometric Society. Teaching responsibilities include undergraduate and graduate econometrics courses with emphasis on applied regression methods and model specification.
Jinhu Li is a Senior Research Fellow at the Australian National University, holding positions in both the Department of Health Economics, Wellbeing and Society and the National Centre for Health Workforce Studies. She has previously held academic positions as a Senior Lecturer at Deakin University and a Senior Research Fellow at the University of Melbourne. Dr. Li completed her PhD in Economics from McMaster University in Canada, following an MA in Economics from the University of Victoria and a BA in Economics from Huazhong University of Science and Technology in China. She is also a Fellow of the UK Higher Education Academy (HEA). Her research focuses on health economics, economics of education, and development economics, with particular emphasis on social determinants of health, human capital formation, and health workforce economics. Dr. Li employs advanced methodologies including causal inference techniques and Discrete Choice Experiments to investigate critical issues in health, education, and development. Her recent publications span topics including the impacts of education on health outcomes, physician behavior and incentives, early-life health shocks, and child malnutrition. Her work appears in leading journals such as Journal of Health Economics, Journal of Development Economics, Health Economics, and Social Science and Medicine. Dr. Li has received significant recognition for her research, including an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) from 2017-2023. She has secured over $4.2 million in research funding, with $3.8 million from Category 1 national competitive grants. She currently leads multiple major research projects, including an ARC DECRA project, an ARC Discovery Project, and an MRFF Primary Health Care Research grant. Her current research examines the impacts of counter-COVID public policies like school closures on child development and optimal workforce mix for team-based care in managing chronic diseases.
Pascal Da Costa is a Professor of Economics at CentraleSupélec, part of the University of Paris-Saclay. He is affiliated with the Industrial Engineering Laboratory and focuses on Environmental and Energy Economics for Sustainable Development. His research integrates planetary boundaries into economic analysis, emphasizing policy design for climate resilience and decarbonization. Key research areas include climate policy evaluation, nuclear energy economics, sustainable mobility solutions, and ecosystem valuation. He has contributed to projects such as the French Climate Roadmap and evaluates strategies for renewable energy integration alongside nuclear flexibility. Recent work addresses corporate climate ratings, CDR (Carbon Dioxide Removal) research trends, and equitable mobility solutions in urban/rural contexts. Da Costa has authored over 47 publications, including analyses of CO2 mitigation pathways, nuclear reactor investment scenarios, and ecosystem service valuation at Corsican rivers. His work bridges academic research with policy implementation through collaborative frameworks and interdisciplinary approaches. He teaches introductory economics courses at CentraleSupélec and participates in national initiatives like the 2030 Commission of the National Contributive Conference. His lab focuses on energy systems analysis, sustainable development metrics, and decision-support tools for sustainable strategy selection.
