Find Academic Supervisors

Parv VenkitasubramaniamView profile

Professor

• Network Security
• Cybersecurity
• Privacy in Networks
• +7 more

Parv Venkitasubramaniam is a Professor in the Department of Electrical & Computer Engineering at Lehigh University, affiliated with the P.C. Rossin College of Engineering. Previously, he served as a postdoctoral researcher at UC Berkeley under Prof. Venkat Anantharam. His research focuses on theoretical foundations of privacy and security in networks, leveraging statistical signal processing, information theory, and game theory. Key application areas include smart grids, transportation systems, and peer production networks. Education includes a Ph.D. and M.S. in Electrical Engineering from Cornell University, and a B.Tech from the Indian Institute of Technology. His doctoral work concentrated on wireless sensor networks, particularly distributed communication and statistical inference. Research interests span privacy-utility tradeoffs, cybersecurity in control systems, and resilient network design. He explores topics like stealthy attacks on dynamical systems, privacy-aware stochastic games, and resilient energy storage systems. Recent work emphasizes transportation system resilience and cyber-physical system security. His publications address cutting-edge challenges in anonymizing networks, detecting cyber attacks, and optimizing privacy-preserving mechanisms. Notable projects include NSF-funded research on anonymous networking and information-theoretic security frameworks.

Leandro Simões PongeluppeView profile

Assistant Professor

• Sustainable Development Goals
• Stakeholder Management
• Socioeconomic Development
• +7 more

Leandro "Leo" Pongeluppe serves as an Assistant Professor of Management at the Wharton School of the University of Pennsylvania, holding the distinguished position of Leonard J. Horwitz Faculty Scholar. His academic journey culminated with a PhD from the Rotman School of Management at the University of Toronto, positioning him at the forefront of research at the intersection of business and societal challenges. Pongeluppe's research program centers on understanding how organizational design and governance mechanisms influence the achievement of United Nations Sustainable Development Goals. His work spans multiple continents and contexts, with field research conducted in Brazilian favelas, the Amazon rainforest, worldwide desalination plants, and African HIV/AIDS treatment clinics. Methodologically, he employs innovative mixed-methods approaches that combine econometric causal inference with ethnographic techniques to tackle complex socio-environmental challenges. His publication portfolio reveals a consistent focus on stakeholder management within contexts of socioeconomic development and environmental sustainability. The research demonstrates how businesses can effectively address global challenges through strategic stakeholder engagement, showing particular promise in environmental conservation efforts and inclusive business models. His work on the Amazon rainforest reveals how companies like Natura have successfully preserved forests through stakeholder alignment, while his favela research exposes the complex social consequences of economic mobility. Wharton AI & Analytics Initiative Research Funding (2024) Wharton Teaching Excellence Awards (2023-24) Wiley Blackwell Outstanding Dissertation Award (Academy of Management, 2023) Multiple Best Paper Awards from Strategic Management Society and Academy of Management conferences Wharton Global Initiatives and ESG Initiative Funding (2023) Prior to his academic career, Pongeluppe co-founded Insper Metricis, a research group focused on socio-environmental impact evaluation, where he contributed to Brazil's first Social Impact Bond in partnership with São Paulo State Government and international development institutions. His professional experience also includes three years as an associate researcher at the Accenture Institute for High Performance, working on inclusive innovation projects across Brazil, China, Ghana, India, Mozambique, Nigeria, and South Africa. This practical experience deeply informs his scholarly work and teaching approach, particularly in his course on Managing Established Enterprises which addresses strategic challenges facing incumbent firms.

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +8 more

Prof. Dr. Bernd Skiera is a leading Marketing Professor at Goethe University Frankfurt since 1999 and a member of the managing board of the efl - The Data Science Institute. His work bridges information systems and marketing, with a focus on data-driven decision making and digital transformation.

Sha YangView profile

Professor

• Consumer Choice
• Internet Advertising
• Competition
• +5 more

Sha Yang serves as the Ernest Hahn Professor of Marketing at the Marshall School of Business, University of Southern California, where she has held full-time faculty positions since 2017 after progressing from Assistant to Associate Professor roles at New York University and UC-Riverside. Her research examines interdependencies in consumer preferences, social influences on decision-making, and competitive dynamics in advertising, pricing, and platform growth. Her educational background includes a PhD in Marketing (2000) and MA in Statistics (1998) from Ohio State University, complemented by an MA in Economics (1995) and BA in International Economics (1994) from Renmin University of China. Her methodological expertise spans Bayesian methods, structural modeling, and data analytics applied to consumer behavior. Yang's research portfolio reveals consistent focus on digital marketing phenomena, with recent work analyzing cross-category spillovers in advertising, review impacts under negotiated pricing, and psychological pricing effects in luxury markets. Her publications in Journal of Marketing , Management Science , and Marketing Science demonstrate interdisciplinary approaches bridging econometrics and behavioral insights. Among her recognitions is the Marketing Science Institute Young Scholar award. She has served as Associate Editor for Journal of Marketing (2017-present) and Marketing Science (2017-2024), reflecting her scholarly impact. Marketing Science Institute Young Scholar Associate Editor, Journal of Marketing (2017-present) Associate Editor, Marketing Science (2017-2024) VP, INFORMS Society for Marketing Science Administratively, Yang served as Vice Dean and Senior Vice Dean for Faculty and Academic Affairs at Marshall School of Business (2020-2023), overseeing faculty development and academic strategy. Her current research integrates causal inference methods with media and entertainment industry applications, supported by grants from marketing research institutions.

Jiyun KangView profile

Associate Professor

• Consumer Behavior
• Consumer Experience
• Consumer Well-Being
• +18 more

Jiyun Kang serves as an Associate Professor at Purdue University's White Lodging-J.W. Marriott, Jr. School of Hospitality and Tourism Management within the College of Health and Human Sciences. Her research examines consumer behavior, well-being, and sustainable practices across fashion, luxury, and retail sectors, with emphasis on artificial intelligence applications, crisis management, and corporate social responsibility initiatives. Her academic credentials include: PhD in Human Ecology from Louisiana State University (2010) MS in Business/Marketing from Seoul National University (2005) BA in English Language and Literature from Korea University (2002) Dr. Kang's research spans consumer psychology, sustainable consumption, and digital innovation in retail. She investigates decision fatigue in luxury contexts, AI-driven mitigation of purchase hesitation, and psychological ownership in fashion subscription models. Her work consistently employs quantitative methods including machine learning and causal modeling to analyze brand-consumer dynamics during ethical crises and sustainability transitions. Analysis of her 2022-2025 publications reveals three dominant trends: (1) blockchain/NFT applications for luxury authentication, (2) AI ethics in retail crisis management, and (3) intersectional approaches to sustainable fashion through psychological ownership frameworks. Methodologically, she increasingly integrates natural language processing with traditional consumer behavior models to examine corporate social responsibility perceptions. Scientific awards: No awards are documented in the provided materials. Advising and grants: The source text contains no information regarding graduate student mentorship or externally funded research projects.

• Marketing Analytics
• Digital Advertising
• Artificial Intelligence in Marketing
• +5 more

Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at Northwestern University's Kellogg School of Management and Faculty Director of the Program on Data Analytics at Kellogg. He also serves as a senior science leader at Amazon, leading the Advertising Economics organization. His research focuses on marketing analytics, digital advertising, and the economic implications of artificial intelligence in business. PhD in Management Science from MIT (1996) Vordiplom in Business Engineering from University of Karlsruhe (1992) MS in Economics from University of Warwick (1991) Professor Zettelmeyer specializes in analyzing how analytics and AI transform firms, with notable work on advertising measurement, pricing strategies, and consumer decision-making in automotive markets. His publications span journals like Marketing Science, Management Science, and American Economic Review, emphasizing empirical validation through field experiments. He has received prestigious awards including the John D.C. Little Award (twice), Sales SIG Excellence in Research Award, and multiple teaching honors such as the Sidney J. Levy Teaching Award and L. G. Lavengood Outstanding Professor of the Year Award. His research frequently appears in top-tier journals and working paper series.

Pietro OrtolevaView profile

Professor

• Decision Theory
• Behavioral Economics
• Experimental Economics
• +5 more

Pietro Ortoleva is a Professor of Economics and Public Affairs at Princeton University , affiliated with the Department of Economics and the School of Public and International Affairs. His research spans Decision Theory , Behavioral Economics , Experimental Economics , and Political Economy , with a focus on understanding deviations from traditional economic models. Education: PhD in Economics, New York University (2009); BA in Economics, Università degli Studi di Torino (2004). Professional Roles: Coeditor of the American Economic Review (since 2021), former Editor of the Journal of Economic Theory (2018–2020), and editorial board member for multiple journals. His work investigates stochastic choice , ambiguity aversion , and reference-dependent preferences , often through incentivized experiments. Recent studies include the role of social norms in vaccine uptake , cautious utility models , and non-Bayesian belief updating . He has secured multiple National Science Foundation grants for projects on behavioral economics and decision-making under uncertainty. His 15 most recent publications reveal trends in behavioral decision theory , with emphasis on randomization preferences , time lotteries , cognitive biases , and political behavior . These studies frequently bridge economics, psychology, and public policy.

Brett HayesView profile

Professor

• Reasoning
• Concept Learning
• Memory
• +8 more

Professor Brett Hayes is a distinguished cognitive psychologist at the University of New South Wales, serving in the School of Psychology. He is the founding Director of the Sydney Thinking and Reasoning (STAR) Laboratory, which he has led for over 15 years, securing more than $4 million in competitive research funding. Professor Hayes has previously held the position of Head of the School of Psychology and served as a member of the Australian Research Council (ARC) College of Experts. His research expertise spans reasoning, concept learning, memory, and developmental changes in these cognitive processes. Professor Hayes employs both experimental investigation and computational modeling in his work, with a particular focus on applying fundamental cognitive research to practical problems in forensic and clinical decision-making, early childhood education, and climate change science communication. His research has significant interdisciplinary applications across psychology, education, and environmental science. Professor Hayes has published extensively in top cognitive science journals, with his most recent work focusing on inductive reasoning, sampling assumptions, learning traps, and consensus perception. His research demonstrates consistent innovation in understanding how people process information, make decisions under uncertainty, and develop reasoning abilities across the lifespan. His scientific contributions include numerous journal articles, book chapters, and co-authored textbooks on developmental psychology. Professor Hayes has also contributed to teaching through courses such as PSYC3341 Developmental Psychology (which he chairs), PSYC3221 Cognitive Science, and PSYC2061 Developmental and Social Psychology. Professor Hayes maintains an active research program with ongoing collaborations across multiple institutions, as evidenced by his numerous co-authored publications. His laboratory continues to advance our understanding of human cognition through rigorous experimental work and theoretical development.

• Gambling Research
• Gaming Behaviors
• Public Health Policy
• +7 more

Professor Heather Wardle is a distinguished social scientist at the University of Glasgow's School of Social and Political Sciences, holding dual appointments in Urban Studies & Social Policy and the School of Health & Wellbeing. With nearly twenty years of experience, she specializes in gambling research, policy, and practice, serving as co-director of Gambling Research Glasgow and leading the prestigious Lancet Public Health Commission on Gambling. Her work is supported by major funding bodies including the ESRC, Wellcome Trust, and NIHR. Professor Wardle's research explores the evolving relationship between gambling and gaming behaviors, particularly how technological changes create new risks and opportunities. She investigates how policy evidence is framed and developed, with a strong emphasis on incorporating lived experience into decision-making processes. Her work bridges academic research, public health policy, and practical interventions, focusing on understanding gambling's impact on individuals' lives and developing effective solutions. Her extensive publication record demonstrates significant contributions to understanding gambling consumption patterns, gambling harms, sports betting culture, and the intersection between gaming and gambling. Recent work shows increasing attention to mental health impacts, policy development, and evidence-based interventions, particularly regarding vulnerable populations and specific contexts like football fan culture. Professor Wardle has played leadership roles in major research initiatives including the Health Survey for England and the British Gambling Prevalence Survey. She has developed innovative approaches to measuring gambling harms and has contributed significantly to shaping gambling policy through her evidence-based recommendations. Her work extends to developing practical tools like the 'Words Matter' language guide for respectful reporting on gambling. She leads Gambling Research Glasgow and has established significant collaborations across academic, policy, and practice domains. Her research team has conducted important studies on gambling harms in social care settings, esports betting, and the relationship between gambling marketing and unplanned gambling spend. Current projects include longitudinal studies of gambling careers during the pandemic and interventions targeting at-risk male sports bettors.

Gustavo VulcanoView profile

Adjunct Professor

• Revenue Management
• Pricing Analytics
• Retail Operations
• +6 more

Gustavo Vulcano is an Adjunct Professor in the Department of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, New York University, where he has been affiliated since 2002. He served as Assistant Professor (2002–2010), Associate Professor (2010–2017, tenured in 2012), and has held an adjunct role since 2017. His academic work bridges theoretical and applied operations management with strong industry engagement. Education: Ph.D. in Operations Management, Columbia University, 2003 M.Phil. in Operations Management, Columbia University, 2000 M.S. in Computer Science, University of Buenos Aires, 1997 B.S. in Computer Science, University of Buenos Aires, 1994 His research focuses on revenue and pricing analytics , retail operations , and supply chain management , particularly emphasizing customer choice modeling , data-driven optimization , and computational methods in network revenue management . He integrates stochastic modeling and behavioral insights to develop practical pricing and operational strategies. His work is deeply rooted in real-world applications across airlines, retail, and financial services. The analysis of his publications reveals a consistent trend in leveraging data-driven decision-making under uncertainty, with a focus on dynamic pricing, demand learning, and robust optimization. His articles span premier journals such as Operations Research and Management Science , reflecting a strong theoretical foundation combined with empirical and computational rigor. Key thematic areas include customer behavior modeling, network revenue management, and stochastic optimization for service industries. Scientific Awards and Leadership: Chair, INFORMS Revenue Management and Pricing Section (2016–2017) Associate Editor, Operations Research and Management Science Prof. Vulcano has advised numerous PhD and master’s students and has secured research grants through industry collaborations. His consulting projects with Delta Airlines, Sabre Holdings, Aerolíneas Argentinas, and ICBC demonstrate a strong commitment to translating academic research into practical solutions. He has taught core courses such as Operations Management , Pricing and Revenue Management , and Dynamic Programming across undergraduate, MBA, PhD, and MSBA programs, shaping future leaders in data-driven decision-making. He is actively involved in research labs and teams focused on operations analytics and pricing strategy , often collaborating with interdisciplinary groups at NYU Stern and industry partners. His ongoing editorial roles and consultancy reflect sustained engagement in advancing the field of revenue management and operations science.

Bryan DowdView profile

Professor

• Health Economics
• Health Policy Analysis
• Statistical Modeling
• +3 more

Bryan Dowd is a Professor in the Division of Health Policy & Management at the University of Minnesota. With a PhD in Public Policy Analysis from the University of Pennsylvania (1982), MS in Urban Administration from Georgia State University (1976), and BA in Architecture from Georgia Institute of Technology (1972), his work focuses on health economics , statistical modeling , and healthcare financing . PhD, Public Policy Analysis, University of Pennsylvania, 1982 MS, Urban Administration, Georgia State University, 1976 BA, Architecture, Georgia Institute of Technology, 1972 His research spans health insurance dynamics , payment models , and statistical methodologies in healthcare. Key themes include upcoding practices , instrumental variable applications , and policy implications of risk ratios . Publications often address healthcare access , economic incentives , and data-driven policy evaluation . Recent article trends highlight moral hazard decomposition , odds ratio critiques , and switching cost analysis in Medicare Advantage. These works emphasize causal inference , economic modeling , and policy design challenges . Contact: dowdx001@umn.edu

Carlos Alós-FerrerView profile

Professor

• Microeconomics
• Behavioral Economics
• Decision Neuroscience
• +4 more

Carlos Alós-Ferrer is a Chair Professor of Economics at Lancaster University Management School and Co-Editor in Chief of the Journal of Economic Psychology. He has held full professor positions at the Universities of Zurich, Cologne, and Konstanz, and associate professor roles at the Universities of Vienna and Salamanca. He has also been a frequent Visiting Professor at New York University-Abu Dhabi. Originally from Spain, he speaks German fluently and currently splits his time between Switzerland and the U.K. Dr. Alós-Ferrer is an interdisciplinary researcher working at the intersection of (micro)economics, psychology, and decision neuroscience. His research focuses on understanding and improving human economic decisions, ranging from decisions under risk to strategic decisions (game theory) and voting. He employs multiple methodological approaches including decision neuroscience ("neuroeconomics"), behavioral experiments, and mathematical modeling. His work has significant implications for understanding cognitive processes in economic decision-making, belief updating, and social preferences. His recent publications demonstrate a consistent focus on the cognitive foundations of economic behavior, with particular attention to response times, belief updating, preference formation, and social decision-making. The research spans theoretical contributions to decision theory and experimental investigations of real-world economic behaviors. His 2022 Nature Human Behavior paper "Generous with individuals and selfish to the masses" received extensive media coverage worldwide, highlighting the broad impact of his work beyond academic circles. Dr. Alós-Ferrer maintains an active scholarly presence through his "Decisions and the Brain" blog at Psychology Today and a personal blog at WordPress. He has published extensively across top journals including Management Science, Nature Human Behavior, Journal of Political Economy, Journal of Personality and Social Psychology, and Journal of Economic Literature. His 2016 book "The Theory of Extensive Form Games" (co-authored with Klaus Ritzberger) is part of the official Springer Series of the Game Theory Society.

Fred FeinbergView profile

Professor

• Discrete choice models
• Bayesian statistics
• Marketing analytics
• +7 more

Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.

• Computer Vision
• Deep Learning
• Robotics
• +7 more

Dr. João Henriques is a Research Fellow of the Royal Academy of Engineering (RAEng) at the Visual Geometry Group (VGG), University of Oxford. His research focuses on advancing computer vision, deep learning, and robotics, particularly in areas like 3D scene understanding, reinforcement learning, and multi-agent systems. He is renowned for developing the KCF and SiameseFC visual trackers, which won the VOT Challenge and are deployed in consumer hardware. His work spans 3D geometry, self-supervised learning, causal inference, and neuro-symbolic systems. Key contributions include methods for egocentric video analysis, unsupervised reconstruction, and robot navigation. He leads the VGG's research on neural feature fields, hierarchical scene understanding, and real-time 3D perception. Recent publications emphasize 3D-aware segmentation, universal place recognition, and neuro-symbolic world modeling for robotics. His research often bridges theoretical guarantees with practical applications, such as medical imaging and autonomous systems. Dr. Henriques collaborates with industry and academia on AI ethics, friendly AI, and interpretable learning. His lab hosts DPhil students advancing creative AI applications, such as generative models for gameplay design and LLM evaluations in real-world editorial workflows.

Stefano NoventaView profile

Research Fellow

• Mathematical Psychology
• Psychometrics
• Psychophysics
• +7 more

Stefano Noventa is a Research Fellow at the Methods Center, Department of Social Sciences, Faculty of Economics and Social Sciences, University of Tübingen. He has held multiple postdoctoral positions at the University of Tübingen and previously at the University of Verona and the University of Padova. Education: Ph.D. in Cognitive Psychology, University of Padova (2011) M.Sc. in Physics, University of Padova (2006) Studies in Physics, University of Padova (1999–2006) International Visiting Graduate Student, University of Toronto (2009, 2010) Dr. Noventa's research lies at the intersection of mathematical psychology, psychometrics, and psychophysics, with a focus on developing and unifying quantitative models of human cognition and assessment. His work integrates Item Response Theory (IRT) and Knowledge Space Theory (KST) to create more robust frameworks for educational and psychological measurement. He investigates latent variable models, probabilistic knowledge structures, and the identifiability of complex psychometric models, often applying these to domains such as education, organizational psychology, and entrepreneurship. His recent publications (2020–2024) demonstrate a strong trend toward theoretical integration, particularly in bridging cognitive diagnosis models with traditional psychometric frameworks. The articles emphasize mathematical rigor, model generalization, and empirical validation, with applications in both cognitive science and applied psychology. Topics include the unification of assessment models, parameter estimation under local dependence, and the modeling of intuitive physical reasoning. Scientific Awards: No awards or honors listed in the provided text. Dr. Noventa has not been explicitly mentioned as an advisor to students, but he has served as a corresponding author and collaborator on multiple research projects, indicating a leadership role in research teams. He has been involved in a DFG-funded project (GLI NON-NORM) since 2019, suggesting active grant participation. His work is highly collaborative, involving researchers from Germany, Italy, Austria, and Canada. Labs and Research Groups: Methods Center, University of Tübingen Hector Institute of Education Science and Psychology, University of Tübingen Center of Assessment, University of Verona Department of General Psychology, University of Padova