Dynamic Inconsistency Professors and Supervisors

Lee Kang-iView profile

Professor

Seoul National UniversitySouth Korea

Lee Kang-i is a full-time Professor of Child and Family Studies at Seoul National University’s College of Human Ecology , where she has been a faculty member since 2002. She currently serves as the Director of the Human Ecology Research Institute and previously held roles such as Head of Early Childhood Education and Vice Dean of Student Affairs . She is also the incoming President of the Korean Society for Child Studies and has served as President of the Korean Society for Human Development . Education: Ph.D. in Consumer and Child Studies, Seoul National University (1998) M.A. in Consumer and Child Studies, Seoul National University (1991) B.A. in Home Economics, Seoul National University (1989) Research Interests: Professor Lee’s research spans child development , parenting education , family policy , and multicultural family dynamics . Her work explores how parent-child relationships , school-family partnerships , and socioeconomic contexts influence children’s social-emotional development , academic achievement , and well-being . She is particularly focused on early childhood education , parental involvement , and policy interventions . Research Trends: Her recent publications examine AI-assisted learning , parental digital mediation , adolescent mental health , and multicultural integration . She employs longitudinal designs , advanced statistical modeling , and big data analytics to understand developmental trajectories and inform evidence-based policies. Awards & Recognition: President, Korean Society for Human Development (2022–2023) Director, Seoul National University Parent Policy Research Center (2015–2020) Editorial Director, Korean Society for Child Studies Advisory roles in Seoul Metropolitan Office of Education and local governments Grants & Projects: She has led or co-led over 20 major research projects funded by the Korea Research Foundation , National Institute for Lifelong Education , and Seoul National University , focusing on child development , parenting programs , and educational policy . Labs & Teams: She leads the Child Development Lab at SNU, collaborating with the BK21 Child Development Project , Childcare Support Center , and Parent Policy Research Center to conduct interdisciplinary research and policy outreach.

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Zwetelina IliewaView profile

Assistant Professor

University of MannheimGermany

Zwetelina Iliewa is an Assistant Professor (tenure track) at the Department of Economics, University of Bonn. She holds affiliations with the Cluster of Excellence ECONtribute, Collaborative Research Center Transregio 224, CESifo Research Network, and serves on the scientific board of the Society for Experimental Finance. She earned a MSc in Economics from the University of Mannheim and a PhD in Finance from Ludwig-Maximilians-University Munich. Her research examines decision-making anomalies in financial contexts through experimental and behavioral lenses. Key domains include: Dynamic risk preferences and inconsistent investment behaviors Psychological framing of financial information (prices vs. returns) Nonpecuniary factors in corporate governance Professional expertise development in finance Her publications demonstrate consistent focus on behavioral mechanisms underlying financial decisions, employing experimental methods and field data to analyze investor psychology, professional judgment biases, and ethical dimensions in corporate actions.

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Samy MissoumView profile

Professor

University of ArizonaUnited States

Dr. Samy Missoum is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona's College of Engineering. His academic career spans over two decades with continuous research and teaching contributions in multidisciplinary design optimization, reliability-based design, and computational mechanics. He has maintained an active teaching schedule offering graduate-level courses including Finite Element Methods, Design Optimization, and Advanced Finite Element Analysis through Fall 2025. Dr. Missoum's research focuses on Multidisciplinary Design Optimization, Reliability-Based Design Optimization, Finite Element Analysis, Probabilistic Design, Structural Dynamics, and Aeroelasticity. His work bridges theoretical developments with practical engineering applications, particularly in handling uncertainty in complex systems. He has pioneered approaches using Support Vector Machines for engineering design problems, especially for discontinuous responses and multiple failure modes. His research has significant applications in aerospace structures, mechanical systems, and renewable energy technologies. His recent publications (2022-2024) demonstrate a strong focus on reliability assessment of uncertain systems subjected to random vibrations, stochastic optimization of nonlinear energy sinks, and thermal optimization for concentrated solar power systems. His work employs sophisticated computational approaches including surrogate modeling, multi-fidelity methods, and advanced optimization techniques to address complex engineering problems with uncertainty. Dr. Missoum's scholarly achievements have been recognized through several awards including being named an Associate Fellow of the American Institute of Aeronautics and Astronautics (2017) and receiving the 'Most Helpful to Their College Education' award from AME Seniors (2014). He was also invited as a Professor at Ecole Centrale in Marseille, France during 2021. His research has been consistently supported by grants that enable his work on structural reliability, optimization under uncertainty, and multidisciplinary design. He maintains active collaborations with researchers both nationally and internationally, as evidenced by his co-authored publications with scholars from various institutions. Dr. Missoum leads the CODES Laboratory at the University of Arizona, which focuses on Computational Optimization and Design under uncertainty. The laboratory conducts research on reliability assessment, multidisciplinary design optimization, and development of novel computational methods for engineering design problems with complex constraints and uncertainties.

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Shangzhen LuoView profile

Professor

University of Northern IowaUnited States

Shangzhen Luo is a Professor in the Department of Mathematics at the University of Northern Iowa, affiliated with the College of Humanities, Arts and Sciences. Their research focuses on stochastic analysis, financial mathematics, and filtering theory, with applications in insurance, reinsurance, and risk management. Research Interests include stochastic control, differential games, and probabilistic modeling in financial and insurance contexts. Key themes in their work involve optimizing reinsurance strategies, analyzing time-inconsistent preferences in retirement planning, and studying risk processes under stochastic volatility. Publication Trends reveal a strong emphasis on stochastic differential equations , reinsurance optimization , and Markov-driven dynamics . Their work bridges theoretical stochastic analysis with practical applications in insurance, investment, and decision-making under uncertainty. Key Contributions span topics like barrier strategies for insurance surplus, Pareto-optimal reinsurance policies, and robust control under ambiguity. They have developed models for jump-diffusion risk processes, Brownian risk minimization, and multi-dimensional filtering systems.

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Nan LiView profile

Assistant Professor

University of South CarolinaUnited States

Nan Li is an Assistant Professor in the Life Sciences Communication department at the University of Wisconsin–Madison . Her research bridges computational methods with interdisciplinary applications, as evidenced by her lab's work in the Discovery Building. Research Interests Dr. Li's work focuses on neural architecture search , GPU optimization , and deep learning efficiency . She develops algorithms for black-box optimization , path planning , and distributed training of neural networks, leveraging Monte Carlo Tree Search and action space design . Publication Trends Recent publications highlight expertise in GPU-accelerated algorithms , model compression , and automated machine learning . Key themes include gradient sparsification , tensor decomposition , and heterogeneous computing . Labs & Collaborations She contributes to the Discovery Building research ecosystem via her lab's website SCIMEP , fostering interdisciplinary innovation in computational sciences.

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Simon DabrowskiView profile

Researcher

Martin Luther University Halle-WittenbergGermany

Simon Dabrowski is a researcher at the Department of Sociology, Faculty of Philosophy I, Martin-Luther-Universität Halle-Wittenberg. He has been a scientific staff member since February 2016, focusing on organizational sociology, economic sociology, and sustainability transformation. His work involves qualitative research methods, particularly analyzing corporate practices in balancing profit, social responsibility, and financialization. B.A. and M.A. in Sociology from Universität Bremen Research on organizational practices of sustainability in corporations Contributions to theories of economic sociology and financialization His research spans topics like organizational practices , financialization of corporations , and socio-ecological transformation , often employing qualitative methodologies. Key publications include analyses of corporate social responsibility, trust dynamics in financialized environments, and spatial segregation patterns in urban migration studies. Simon has organized workshops on sustainable economics and participated in international conferences, including SASE and EGOS. He has also contributed to teaching courses on sustainability sociology, network sociology, and organizational analysis at both bachelor’s and master’s levels.

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Xingtan ZhangView profile

Associate Professor

ESMT BerlinGermany

Xingtan Zhang serves as an Associate Professor of Finance at the Cheung Kong Graduate School of Business (CKGSB), where he is affiliated with the Finance Theory Group. His academic foundation includes dual doctoral degrees from the University of Pennsylvania: a Ph.D. in Business Economics and Public Policy from the Wharton School and a Ph.D. in Applied Mathematics and Computational Science, complemented by a B.S. in Mathematics from Peking University. Dr. Zhang's research program centers on theoretical and empirical investigations in asset pricing, information economics, behavioral economics, financial institutions, and mechanism design. His work bridges mathematical rigor with economic intuition, frequently employing game-theoretic frameworks to analyze market structures and agent behavior. Publications in premier journals like Econometrica and Review of Financial Studies demonstrate methodological sophistication and relevance to real-world financial phenomena. Recent publications reveal a cohesive research trajectory examining information asymmetry across diverse contexts—from noise trading effects in asset markets to disclosure dynamics in supply chains. His scholarship consistently explores how strategic interactions and behavioral biases shape market outcomes, with emerging work extending into environmental disclosures and speculative financial innovation. This intellectual thread underscores his expertise at the intersection of quantitative finance, microeconomic theory, and institutional design.

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Araz JabbariView profile

Associate Professor

Laval UniversityCanada

Dr. Araz Jabbari serves as an Associate Professor in the Department of Organizational Information Systems at Laval University's Faculty of Business Administration. His research examines how individuals and organizations engage with digital technologies and navigate digital transformation, with particular focus on conceptual modeling practices in increasingly complex digital environments. Dr. Jabbari maintains an active research agenda that bridges theoretical frameworks with practical applications, contributing significantly to information systems scholarship through publications in top-tier journals and conferences. Dr. Jabbari's academic foundation includes: Ph.D. in Information Systems from Queensland University of Technology MBA in IT Management from Multimedia University B.Sc. in Mathematics from University of Urmia Dr. Jabbari's research centers on conceptual modeling in the digital era, investigating how traditional modeling approaches must evolve to address contemporary challenges. His work explores how individuals understand and use multiple conceptual modeling scripts, ontological overlap in combined models, and the transition from representation to mediation in digital environments. Recent research increasingly addresses AI-specific challenges, including information quality frameworks for AI systems and the faithfulness of machine learning training data. His scholarship examines digital transformation from both technical and organizational perspectives, with growing emphasis on how data, intelligence, and transparency reshape coordination practices. Dr. Jabbari's publication trajectory demonstrates progression from foundational conceptual modeling research to cutting-edge investigations at the intersection of information systems, organizational theory, and artificial intelligence. His work shows increasing engagement with interdisciplinary topics, particularly how digital systems fundamentally reshape organizational practice. The research evolution reflects the field's broader shift from viewing information systems as representations to understanding their mediating role in digital ecosystems. Dr. Jabbari's scholarly impact is evident through: Publications in premier journals including MIS Quarterly, Journal of the Association for Information Systems, and Decision Support Systems Presentations at leading conferences such as HICSS and AMCIS Development of influential frameworks like 'Modeling 4.0' that reshape conceptual modeling discourse 297 citations across 29 publications indicating research influence As an educator, Dr. Jabbari teaches system analysis and design, business analysis, and digitization courses that likely integrate his research expertise. His student supervision approach probably emphasizes both theoretical rigor and practical application, preparing students to address real-world digital transformation challenges. His collaborative research style, evident in numerous international co-authorships, suggests opportunities for students to engage with a global research network. The Department of Organizational Information Systems at Laval University provides a rich academic environment where Dr. Jabbari contributes to shaping how future information systems professionals understand and design digital solutions for complex organizational challenges.

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Matthias KredlerView profile

Associate Professor

Max Planck Institute for Social Law and Social PolicyGermany

Matthias Kredler serves as an Associate Professor in the Department of Economics at Charles III University of Madrid, where he conducts research at the intersection of macroeconomics, labor economics, and family economics. His work critically examines policy implications for aging populations through advanced quantitative modeling. His educational background includes a Ph.D. in Economics from New York University and a Diploma in Economics from Ludwig-Maximilians-Universität Munich, supplemented by a Visiting Assistant Professorship at the University of Pennsylvania. Professor Kredler's research program centers on the economic dynamics of aging societies, with specializations in long-term care systems, intergenerational transfers, and human capital evolution. He employs heterogeneous-agent macroeconomic models to analyze how family structures influence economic decision-making across the lifecycle, particularly regarding housing wealth, retirement planning, and informal care provision. His methodological approach combines theoretical rigor with policy-relevant empirical analysis. A review of his recent publications reveals a consistent focus on the economic challenges of population aging. His work in top journals like the Review of Economic Studies demonstrates how family insurance mechanisms interact with formal care systems across different institutional settings, while his vintage-human-capital model provides novel insights into skill obsolescence in rapidly changing labor markets. These contributions highlight his expertise in translating complex macroeconomic theory into actionable policy frameworks. In academic service, Professor Kredler teaches Macroeconomics II for master's students, supervises Master's theses in Economics, and leads advanced doctoral seminars including Quantitative Macroeconomics with Heterogeneous Agents and the Macroeconomics Reading Group. His office is located at 15.2.10 with contact number +34 91 624 9312.

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