جست‌وجوی استاد و پژوهشگر

Peter Kvamمشاهده پروفایل

استادیار

• Cognitive Psychology
• Decision Making
• Machine Learning
• +۴ مورد دیگر

Dr. Peter Kvam is an Assistant Professor in the Department of Psychology at The Ohio State University, specializing in Cognitive Psychology and Decision Psychology. He holds a PhD from Michigan State University and has held visiting and postdoctoral positions at institutions including the Max Planck Institute in Berlin and the University of Tasmania. His research focuses on the cognitive mechanisms underlying decisions, particularly in complex, dynamic environments, leveraging machine learning and computational models. He previously served as faculty at the University of Florida before joining Ohio State in 2024. Education: PhD in Psychology (Michigan State, 2017), MA (Michigan State, 2014), BS in Psychology and BA in Mathematics/Sociology (Indiana University, 2012). Research interests include decision-making dynamics, computational modeling, and applications of AI to psychology. His work spans topics such as multi-alternative decisions, pricing strategies, and the cognitive basis of polarization. Notable awards include the William K. Estes Early Career Award (2024) and APS Rising Star Award (2023). Advising and grants include mentoring graduate students and securing funding from the University of Florida and Ohio State. His lab, Cognition & Decision Modeling, explores decision processes through interdisciplinary methods. He teaches courses on judgment, decision-making, and psychological modeling.

Anna Battauzمشاهده پروفایل

دانشیار

• Quantitative Finance
• Asset Pricing
• Derivatives Pricing
• +۳ مورد دیگر

Anna Battauz is an Associate Professor at Bocconi University, specializing in Quantitative Finance. She holds a Ph.D. in Financial Mathematics from Scuola Normale Superiore in Pisa and a Mathematics degree from the University of Udine. Since joining Bocconi post-doctorate, she has taught undergraduate, graduate, and Ph.D. courses in Calculus, Quantitative Finance, Derivatives Pricing, and Continuous-Time Finance. She has served as Director of the MSc in Finance since 2022/23. Her research focuses on asset/derivatives pricing, asset allocation, and optimal stopping, with publications in journals like Economic Theory , Management Science , and Quantitative Finance . She is a research fellow at IGIER (Innocenzo Gasparini Institute for Economic Research) and Baffi Carefin (Center for Applied Research on Finance). She acts as a referee for multiple academic journals. Her teaching portfolio includes courses such as Quantitative Finance and Derivatives, Applied Numerical Finance, and Continuous Time Finance. Her work integrates theoretical contributions with practical applications in financial markets and risk management.

Harsha Kamathamمشاهده پروفایل

استادیار

• Digital Marketing
• Multichannel Retailing
• Consumer Decision-Making
• +۵ مورد دیگر

Harsha Kamatham is an Assistant Professor and F. Ross Johnson Fellow in the Marketing Department at the Asper School of Business, University of Manitoba. His research focuses on consumer and firm decision-making using econometric methods, with emphasis on digital marketing, multichannel retailing, and public policy implications. He teaches marketing research and digital marketing, emphasizing quantitative methodologies and practical applications. Dr. Kamatham earned his Ph.D. in Management Science (Marketing) from the Naveen Jindal School of Business, University of Texas at Dallas. His methodological expertise includes applied econometrics, quasi-experimental methods, and discrete-choice models. His work bridges theoretical insights with real-world marketing challenges in areas like social media analytics and retail strategy. Recent publications explore daylight saving time’s impact on consumer health behaviors, competitive brand interactions on Twitter, and causal effects of marketing strategies across industries. His research has been featured in the Journal of Marketing and Journal of Business Research. No scientific awards or grants are explicitly listed in the provided materials. He maintains an active research agenda in digital marketing and public policy intersections, with ongoing investigations into misinformation dynamics and consumer decision-making.

• Algorithms
• Combinatorics
• Computational Complexity
• +۴ مورد دیگر

Xavier Molinero Albareda is a Professor at the University of Politècnica de Catalunya (UPC) , affiliated with the Terrassa Faculty of Optics and Optometry (FOOT) and the Department of Mathematics . He is a core member of the ALBCOM Research Group (Algorithms, Bioinformatics, Complexity and Formal Methods) and the GRTJ Research Group (Game Theory). Education: Holds a degree in Mathematics and a Doctorate in Mathematics from UPC. His academic career has been continuous with no indication of retirement or former status. Research Interests: Focuses on Algorithms , Combinatorics , Computational Complexity , and Game Theory , with applications to Social Networks . His work bridges theoretical foundations with practical applications in areas like voting systems, network analysis, and cognitive science. Recent projects include studies on typeface legibility, influence games in signed networks, and optimization of weighted voting mechanisms. Grants & Projects: Involved in competitive R&D projects such as ALGECOM (Algorithmics and Combinatorics) and ALINEX (Algorithms: Engineering and Experimentation). Collaborates on interdisciplinary initiatives like Complex Networks and Social Influence Analysis . Labs/Teams: Leads the Game Theory and Social Networks subgroup within ALBCOM, focusing on computational models for strategic interactions and network dynamics.

• Econometrics
• Microeconometrics
• Labour economics
• +۳ مورد دیگر

Stephane Bonhomme is a Professor in the Department of Economics at the University of Chicago, where he conducts research and teaches graduate-level econometrics. His academic journey began with a PhD at CREST and Université Paris I under the supervision of Jean-Marc Robin. Professor Bonhomme's research focuses on econometrics, microeconometrics, and labor economics, with particular expertise in panel data models, income dynamics, and nonlinear estimation methods. His work bridges theoretical econometric advances with empirical applications, making significant contributions to the understanding of income processes, consumption dynamics, and labor market phenomena. His recent publications reveal a strong emphasis on addressing the incidental parameter problem in panel data, developing methods for estimating heterogeneous effects, and analyzing income risk and inequality. Bonhomme frequently collaborates with leading econometricians including Manuel Arellano, Martin Weidner, and Bryan Graham, among others. His work appears in top journals such as Econometrica, Journal of Econometrics, and Quantitative Economics. His research shows a consistent pattern of developing innovative econometric methodologies that address fundamental identification and estimation challenges in panel data settings, while simultaneously applying these methods to important economic questions related to income dynamics, consumption behavior, and labor market sorting. Developed methods for estimating heterogeneous effects in labor economics applications Advanced techniques for handling unobserved heterogeneity in panel data Contributed to understanding income risk inequality using administrative data Created approaches for minimizing sensitivity to model misspecification Professor Bonhomme maintains active research collaborations across institutions and continues to contribute significantly to both theoretical and applied econometrics through his publications and teaching at the University of Chicago.

Shin Kanayaمشاهده پروفایل

مدرس ارشد

• Econometrics
• Stochastic Processes
• Discrete Choice Models
• +۳ مورد دیگر

Dr. Shin Kanaya is a Senior Lecturer in the Department of Economics at the University of Essex. His academic qualifications include a Ph.D. in Economics from the University of Wisconsin–Madison (2008), and master's and bachelor's degrees from the University of Tokyo. He has held his current position since December 2019. Dr. Kanaya's research focuses on econometric methodology, particularly in stochastic processes, nonparametric estimation, and discrete choice models with social interactions. His work addresses topics such as welfare analysis in economic models, error probabilities in legal contexts, and the academic fairness of university admissions. His publications span peer-reviewed articles on econometric techniques, including contributions to diffusion processes, stochastic volatility modeling, and empirical welfare analysis. He has also explored applications in policy evaluation and social interaction dynamics. Dr. Kanaya's research demonstrates a strong emphasis on quantitative methods, with a focus on bridging theoretical econometrics and practical policy applications. His work has implications for understanding social behavior, economic inequality, and institutional decision-making processes.

Pasquale Schiraldiمشاهده پروفایل

استادیار

• Industrial Organisation
• Applied Micro Theory
• Applied Econometrics
• +۳ مورد دیگر

Pasquale Schiraldi is an Assistant Professor of Economics at the London School of Economics and Political Science (LSE), affiliated with the Department of Economics. His key expertise lies in Industrial Organisation, Applied Micro Theory, and Applied Econometrics. He holds a PhD in Economics from Boston University. His research focuses on dynamic models of market competition, auction design, consumer behavior, and structural econometric analysis of strategic interactions. Education: PhD in Economics, Boston University. Research interests include dynamic oligopoly behavior, procurement auctions, spatial competition in retail markets, and methodological advancements in discrete-choice demand models. His work bridges theoretical economic modeling with empirical applications, particularly in understanding strategic interactions and market efficiency dynamics. Selected research contributions analyze market collusion mechanisms, buying frenzies in durable goods, and the impact of internet platforms on decentralized markets. His recent studies (2022-2023) emphasize identification strategies for dynamic discrete-continuous choice models and structural analysis of auction environments. Affiliations: STICERD Economics of Industry Programme Associate. Teaching: EC427 (Economics of Industry), EC486 (Econometric Methods), EC536 (Economics of Industry for Research Students). Research centers: Collaborates with STICERD (LSE's economics research center).

Shilpa Tyagiمشاهده پروفایل

پژوهشگر ارشد

• Health Services Research
• Mixed Methods Research
• Qualitative Research
• +۴ مورد دیگر

Dr. Shilpa Tyagi is an Adjunct Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore (NUS), and serves as a Research & Evaluation Specialist and Senior Data Analyst at the MOH Office for Healthcare Transformation (MOHT). She holds a PhD in Public Health from NUS, supported by the President’s Graduate Fellowship, and has qualifications in MBBS and MPH. Her expertise lies in health services research, implementation science, and mixed methods, with a focus on technology-enabled care models in primary care settings. Research Interests Health Services Research Mixed Methods Research Implementation Science Telehealth Interventions Program Evaluation Informal Caregiving Her recent publications emphasize telehealth applications for chronic disease management (diabetes, hypertension, COPD), multimorbidity frameworks, and post-stroke caregiving. She contributes to policy through rigorous evaluations of scalable healthcare innovations and qualitative analyses of real-world challenges. Scientific Awards President’s Graduate Fellowship (PhD, NUS) Senior Editorial Board Member, BMC Primary Care Journal (2025–present) Editorial Board Member, BMC Primary Care Journal (2023–2025) At MOHT, she leads evaluations of nationwide healthcare programs, ensuring practical sustainability and policy relevance. Her work bridges evidence-to-practice gaps in Singapore’s healthcare system, particularly in technology-driven primary care models.

• Health Economics
• Economic Evaluation of E-Health
• Medico-Economic Analysis
• +۶ مورد دیگر

Myriam Le Goff serves as a Lecturer in Economics at IMT Atlantique within the Interdisciplinary Department of Social Sciences (DI2S) since 2003. She is a researcher at LEGO (Research Laboratory in Management Sciences and Economics, EA 2652) affiliated with University of Western Brittany (UBO) and IMT Atlantique. Her academic career spans over two decades with continuous research contributions in health economics, particularly focusing on digital health evaluation methodologies. Dr. Le Goff's research interests center on health economics with special emphasis on the economic and medico-economic evaluation of e-health systems, multi-criteria evaluation frameworks, analysis of e-health market dynamics and economic models, modeling of care pathways incorporating new technologies, and social impact measurement methodologies. Her work bridges economic theory with practical healthcare applications, particularly in telemedicine and digital health innovation assessment. Her publication record demonstrates consistent scholarly output with recent articles (2023-2025) spanning diverse health economic topics including knee arthroplasty epidemiology across European countries, tele-dermatology implementation, economic analysis of digital rehabilitation technologies, and surgeon perspectives on innovative prosthetic technologies. These publications reveal a strong methodological approach combining economic evaluation with clinical outcomes assessment across multiple healthcare domains. Chevalier de l'ordre des palmes académiques (January 2017) Dr. Le Goff has co-supervised two doctoral students through completion: Gérald-Réparate RETALI (thesis on economic evaluation of e-health, 2014) and Nabil NASSIRI (thesis on telemedicine networks for hospital system performance improvement, 2007). She has participated as an expert in numerous research funding evaluations including ANR generic calls, PREPS research program on healthcare system performance, and European Ambient Assisted Living programs. Her extensive project portfolio demonstrates significant grant acquisition and management capabilities across national and international funding mechanisms. She maintains active involvement in research networks including the Living Lab Santé Autonomie forum, serving on scientific committees for evaluation projects, and acting as a reviewer for multiple academic journals including Journal of Telemedicine and Telecare and Revue d'économie industrielle.

Rodney Scottمشاهده پروفایل

استاد مدعو

• Public Administration
• System Dynamics
• Interagency Collaboration
• +۶ مورد دیگر

Rodney Scott is an Adjunct Professor in the School of Business at UNSW Canberra. His substantive role is as the Chief Policy Advisor for New Zealand's Public Service Commission, where he leads advice on the design and direction of New Zealand's public services. He has previously worked at senior and executive levels in management and advisory roles across the public, private, and not-for-profit sectors in Australia and New Zealand. Scott also serves as the chief science advisor for the Public Service Commission and is a board member of the Institute of Public Administration of New Zealand. Scott completed his PhD in Public Management and System Dynamics from the University of Queensland, with his dissertation "Group model building and mental model change" awarded "best doctoral thesis" by the Australia and New Zealand Academy of Management. His research interests span interagency collaboration, governance, performance management, institutional memory, social identity, public service motivation, and public service ethics. He has completed research fellowships at prestigious institutions including Cambridge University's Bennett Institute of Public Policy (2022), Oxford University's Blavatnik School of Government (2018), and Harvard University's Kennedy School of Government (2017). Scott's scholarly work demonstrates a consistent focus on collaborative governance, public sector reform, and the application of systems thinking to public administration challenges. His recent publications show particular interest in New Zealand's public service reforms, interagency performance targets, and the role of institutional memory in government continuity. He has also explored the intersection between social identity and public service motivation, examining how these factors influence civil servant behavior and cooperation across government agencies. Adjunct Professor, School of Business, UNSW Canberra Chief Policy Advisor, New Zealand's Public Service Commission Chief Science Advisor, Public Service Commission Board Member, Institute of Public Administration of New Zealand Chair, Victoria University of Wellington School of Government Trust Adjunct Fellow, Australia and New Zealand School of Government Scott has led significant research projects including work on rewriting New Zealand's State Sector Act 1988, international research on interagency performance targets in partnership with Harvard University and Brookings Institute, and collaborative research on institutional memory in public administration with Cambridge University Press. His work bridges academic scholarship with practical public sector reform initiatives, particularly in the New Zealand context.

• Dementia and Cognitive Impairment
• Occupational Therapy
• Non-Pharmacological Interventions
• +۳ مورد دیگر

Dr Sally Day is a Research Fellow and Lecturer in the Discipline of Occupational Therapy at the University of Sydney's Sydney School of Health Sciences within the Faculty of Medicine and Health. She is a member of the Sydney Southeast Asia Centre and the Charles Perkins Centre. Her research focuses on dementia care, particularly for diverse populations, implementation of evidence-based practices, and non-pharmacological interventions. She completed her PhD in 2024 titled 'Occupational therapy interventions for people with dementia from diverse groups: A realist inquiry' and joined the University of Sydney in 2016. Current projects include reducing dementia stigma through community participation, developing diagnostic tools for frontotemporal dementia, and the FAST trial for fall prevention post-stroke. Teaching responsibilities include undergraduate and postgraduate occupational therapy education, with supervision of honors and higher-degree research students. She provides training in the COPE program, an evidence-based intervention for dementia care. Key awards include a 2021-2023 PhD scholarship from the Dementia Centre Research Collaboration (DCRC). Her work emphasizes cross-sector collaboration, policy development, and culturally adapted interventions to improve dementia care outcomes. Professional affiliations include the Australian Association of Gerontology and Sydney Dementia Network, reflecting her commitment to advancing interdisciplinary approaches in aging and dementia research.

Fredrik Perssonمشاهده پروفایل

عضو هیئت علمی

• Production Economics
• Operations Management
• Digitalization in Manufacturing
• +۴ مورد دیگر

Fredrik Persson is a Senior Associate Professor and Head of Division at Linköping University's Department of Management and Engineering (IEI). His research focuses on Production Economics, particularly modeling and simulation in Operations Management. He explores topics like digitalization in manufacturing, Industry 4.0, Lean production, and discrete event simulation (DES). His work bridges engineering and management to enhance manufacturing competitiveness through resource optimization. Research Interests: Production Economics Operations Management Simulation Modeling (DES) Lean Production Systems Supply Chain Logistics Healthcare Simulation Publications Highlight Trends in: Production Planning and Control Simulation-Based Optimization Industry 4.0 Applications Healthcare Process Improvement Construction Logistics Advising & Grants: No formal advisee list provided. Grants/awards not explicitly mentioned in text. Labs/Teams: Active within the Production Economics research group, collaborating on cross-disciplinary projects in manufacturing systems and digital transformation.

• Algebraic Combinatorics
• Quantum Computing
• Cooperative Game Theory
• +۳ مورد دیگر

Dylan Laplace Mermoud is a Postdoctoral Researcher in the Department of Applied Mathematics at ENSTA Paris. His research focuses on Algebraic Combinatorics, Quantum Computing, and Cooperative Game Theory. He explores topics such as social organization structures through operad theory, core stability in game-theoretic frameworks, and variational quantum algorithms for combinatorial problems. His work bridges abstract algebraic methods with practical applications in network dynamics and optimization. His research interests span the intersection of mathematics and social sciences, particularly in modeling cooperative systems and analyzing network-based decision-making processes. He contributes to both theoretical advancements and computational tools for solving complex combinatorial challenges, including applications in quantum computing and market equilibrium correction. Key research trends in his publications include the algebraic foundations of social configurations, algorithmic approaches to core stability, and quantum algorithm design for permutation-based problems. His work emphasizes interdisciplinary applications, such as optimizing resource allocation in dynamic networks and developing frameworks for understanding steady coalition formation in game-theoretic contexts.

Alfredo N. Marin Perezمشاهده پروفایل

استاد

• Operations Research
• Location Problems
• Optimization
• +۲ مورد دیگر

Alfredo N. Marin Perez is a Professor at the Department of Statistics and Operations Research, Faculty of Mathematics, University of Murcia. His research focuses on operations research, discrete location problems, hub network design, and optimization theory. He has extensively published on p-median problems, hub location models, and equity-based facility allocation. Research Areas: Facility Location, Game Theory, Mathematical Optimization Key Collaborations: Mercedes Landete, Antonio M. Rodriguez-Chia, Justo Puerto Albandoz Methodologies: Lagrangian Relaxation, Branch-and-Cut Algorithms, Polyhedral Analysis Selected Publications: His work includes foundational contributions to the tree of hubs problem, capacitated p-center models with failure foresight, and rank pricing optimization. Recent articles explore equity in location problems and multi-period stochastic covering models.

Ulla Ahonen-Jonnarthمشاهده پروفایل

دانشیار

• Decision Analysis
• Risk Management
• Environmental Policy
• +۳ مورد دیگر

Ulla Ahonen-Jonnarth is an Associate Professor at the University of Gävle, specializing in decision analysis, risk management, and environmental policy. Her research focuses on multi-criteria decision models, geospatial decision frameworks, and human judgment in complex trade-offs. She has contributed to understanding stakeholder collaboration strategies between universities and society, and the psychological aspects of balancing environmental and personal gains/losses. Her work spans experimental psychology (e.g., anchoring effects in judgments) to geospatial visualization tools for decision support. She has published extensively in journals like Renewable Energy Focus, Journal of Multi-Criteria Decision Analysis, and ISPRS International Journal of Geo-Information. Her earlier research (2000s) explored forest ecology, mycorrhizal symbiosis, and plant responses to heavy metals. No scientific awards or student advisees are explicitly listed in the provided materials. Her professional activities include collaborative projects with institutions like the Swedish University of Agricultural Sciences and contributions to forest management simulations.