جست‌وجوی استاد و پژوهشگر

Andrew Kumiegaمشاهده پروفایل

استادیار

• Financial Engineering
• Data Analytics
• Algorithmic Trading
• +۲ مورد دیگر

Andrew Kumiega is Assistant Professor of Analytics at Illinois Institute of Technology's Stuart School of Business and Adjunct Professor in Industrial Technology and Management. He directs the Financial Engineering program and holds advanced degrees in Industrial Engineering and Finance. His research integrates industrial engineering techniques with financial applications, focusing on algorithmic trading systems, financial data analytics, and quality management in fintech. Recent publications examine blockchain applications in environmental markets, Black-Scholes model evolution, and statistical process control for trading systems. With industry experience at firms including Infinium Capital Management and TD Waterhouse, Kumiega bridges academic research with practical financial applications. His work emphasizes ethical frameworks for automated markets and quantitative innovation management.

David Tufteمشاهده پروفایل

دانشیار

• Economics
• Macroeconomics
• Microeconomics
• +۳ مورد دیگر

Dr. David Tufte is an Associate Professor of Economics at Southern Utah University (SUU), part of the School of Business. He holds a B.A., M.A., and Ph.D. in Economics from the University at Buffalo, New York. Prior to SUU, he held tenured positions at the University of New Orleans, where he directed the Ph.D. program and taught in executive and international programs. He also taught at the University of Alabama, University of Utah, and Tulane University. At SUU, he teaches courses like Principles of Microeconomics, Managerial Economics, and Spreadsheet Engineering. Tufte’s research explores unconventional applications of economics, including zombie narratives, sports economics, prediction markets, and financial crises. He emphasizes student-driven learning, believing academic success stems from persistent effort. Though not focused on awards, he values recognition through tackling unique teaching challenges. He highlights SUU’s unique position as a regional residential university, fostering close student-professor interactions. His career spans over 27 years, with a focus on applied economics and interdisciplinary research. He has advised Ph.D. students and contributed to policy analysis, financial modeling, and cultural economics. Tufte’s work bridges theoretical concepts with real-world scenarios, often using creative frameworks to engage students and scholars alike.

George Mohlerمشاهده پروفایل

استاد

• Spatial Data Science
• Point Process Modeling
• Criminal Justice Forecasting
• +۱ مورد دیگر

George Mohler is Daniel J. Fitzgerald Professor and Chair of Computer Science at Boston College, specializing in machine learning applications for spatial, urban and network data science. His research develops statistical methods for crime forecasting, overdose prediction, and analysis of coupled online-offline systems. Key research directions include: Hawkes process models for social harm event prediction Fairness and interpretability in criminal justice algorithms Deep learning approaches for anomaly detection in mobility data Point process methods for epidemic tracking Professor Mohler has led projects funded by AFOSR, CDC, NIJ and NSF, including a $1.2M MURI grant on 'Learning Dynamics and Detecting Causal Pathways in Coupled Online-Offline Systems'. His team won first place in nine categories of the NIJ Real-time Crime Forecasting Challenge and developed software for spatiotemporal point process analysis used by law enforcement agencies.

Carole Petersonمشاهده پروفایل

استاد پژوهشی

• Developmental Psychology
• Memory Studies
• Childhood Amnesia
• +۲ مورد دیگر

Dr. Carole Peterson is a University Research Professor and Fellow of the Royal Society of Canada in Memorial University's Department of Psychology. Her research examines memory development and language acquisition, focusing on childhood amnesia, children's eyewitness testimony accuracy, and interviewer techniques like the Narrative Elaboration procedure. She investigates factors influencing memory retention, deception detection in child interviews, and cross-linguistic patterns in questioning. Her work includes longitudinal studies on earliest childhood memories and innovative approaches to enhance open-ended recall in forensic contexts. Research methodologies include prospective cohort studies and cross-cultural comparisons of response patterns. Honors: Fellow of the Royal Society of Canada

Ralf Coxمشاهده پروفایل

استاد

• Psychology of Art Experiences
• Empirical Aesthetics
• AI in Art
• +۳ مورد دیگر

Ralf Cox is a Professor of Psychology and Development of Aesthetics and Art Experiences at the University of Groningen's Faculty of Behavioural and Social Sciences, where he leads research in the Department of Developmental Psychology. He holds additional roles as a Visiting Professor at the University of Talca's Psychology Doctorate program (Chile) and as a board member of the Dutch Society for Developmental Psychology (VNOP). His research integrates experimental psychology, art theory, and developmental science, focusing on: Embodied and cognitive processes in art perception Aesthetic development across the lifespan AI's intersection with artistic creation Social dynamics of collective art experiences Nonverbal behavioral analysis Recent publications demonstrate strong cross-disciplinary trends, with 65% exploring embodied cognition in art contexts, 20% examining infant developmental patterns, and 15% investigating AI-art interfaces. Methodologically, his work combines kinematic analysis, behavioral experiments, and phenomenological frameworks. Awards include the Incentive Fund for Interdisciplinary Projects (2023). He leads multiple research teams investigating art perception dynamics and maintains collaborations across Europe and South America. Notable public engagement includes directing the Expeditie NEXT science festival and media commentaries on AI-generated art.

Tiziana Di Matteoمشاهده پروفایل

استاد

• Econophysics
• Complex Systems
• Complex Networks
• +۲ مورد دیگر

Tiziana Di Matteo is Professor of Econophysics in the Department of Mathematics at King's College London. Her research integrates methods from statistical physics, complex systems theory, and data science to analyze economic and financial systems. Research focuses on complex networks in financial markets, multiscale analysis of economic systems, machine learning applications in economics, and network-based risk modeling. Current projects examine systemic risk in banking networks, cryptocurrency dynamics, and economic complexity metrics for development forecasting. Publications demonstrate innovations in network filtering techniques, multidimensional data analysis, and econophysics methodologies. Recent work includes tensor-based decomposition methods for financial data, clustering algorithms for high-dimensional datasets, and analyses of market correlation structures. Professor Di Matteo serves as Editor for multiple journals including European Physical Journal B and Chaos, Solitons & Fractals. She mentors doctoral students in financial mathematics and complex systems through the London School of Economics systemic risk program.

• Adolescent Development
• Emotion Regulation
• Dynamic Systems
• +۳ مورد دیگر

Thomas Hollenstein is a Professor in the Department of Psychology at Queen's University, specializing in adolescent socioemotional development from dynamic systems and developmental psychopathology perspectives. His research examines emotion regulation dynamics, particularly shame and anxiety, using multimodal methods including psychophysiology, observational coding, and state space grid analysis. Hollenstein investigates real-time emotion dynamics across nested time scales, emotion concordance across appraisal-expressive-physiological channels, and social influences on emotion regulation. He develops the State Space Grids software for analyzing behavioral processes and studies the impact of digital technologies on adolescent emotional development. Recent publications address digital emotion regulation, mother-adolescent dyadic flexibility, and pandemic-related mental health changes. His work integrates developmental theory with computational methods to capture emotion system dynamics.

PJ Lambersonمشاهده پروفایل

دانشیار

• Social Networks
• Collective Intelligence
• Computational Modeling
• +۳ مورد دیگر

PJ Lamberson is an Associate Professor and Vice Chair in the Communication Department at UCLA. He holds a PhD in Mathematics from Columbia University and previously taught at MIT Sloan and the Kellogg School of Management. His research focuses on mathematical and computational modeling of social systems, with emphasis on networks, contagion, and collective intelligence. He has been recognized as a global expert in these fields, frequently consulting for organizations worldwide. Education: PhD in Mathematics, Columbia University (2006) MPhil, MA in Mathematics, Columbia University (2005, 2003) B.A. in Mathematics, University of Chicago (2001), with Honors in the College and Honors in Mathematics Research interests include: Network dynamics and diffusion processes Collective intelligence and forecasting Political communication and voter behavior Agent-based modeling of public health challenges His work bridges disciplines, appearing in journals across mathematics, ecology, epidemiology, and management science. Notable awards include the Best Paper from Journal of Social Computing Award (2021). He has secured over $1.7 million in NIH funding for research on team dynamics and network science. His lab collaborates extensively with interdisciplinary teams, addressing questions at the intersection of social systems and computational methods.

Sally Sharifمشاهده پروفایل

مدرس

• Comparative Politics
• Conflict and Peace Studies
• Post-Conflict Statebuilding
• +۵ مورد دیگر

Sally Sharif is a Lecturer in the Department of Political Science at the University of British Columbia (UBC), Faculty of Arts. She holds a PhD from the City University of New York (2021) and previously served as a Postdoctoral Research Associate at the University of Notre Dame. Her research focuses on state-society relations during and after war, emphasizing peacebuilding, post-conflict state consolidation, and disarmament, demobilization, and reintegration (DDR) programs. Her work employs mixed methods including natural experiments, machine learning, and qualitative case studies, particularly analyzing ex-combatants from Colombia's FARC. Dr. Sharif's research has been published in journals such as International Peacekeeping , Political Violence and Terrorism , and Human Rights Quarterly , alongside policy outlets like The Washington Post and the Peace Accords Matrix Policy Brief Series . She has received prestigious awards including the APSA First Generation Scholar Award (2022) and the Mitacs Globalink Research Award (2023). Her doctoral dissertation and book project analyze DDR programs across macro, meso, and micro levels, linking these to rebel cohesion and post-conflict political bargaining. She emphasizes how these processes shape peace prospects, drawing on original datasets and fieldwork in Colombia. Her policy-focused work addresses challenges in conflict recurrence prevention and sustainable peacebuilding strategies. In teaching, she instructs courses on comparative politics, international conflict management, and quantitative methods at UBC. Her research and policy contributions bridge academic rigor with real-world conflict resolution challenges, particularly in Latin America and other post-conflict regions.

Carlos Oyarzunمشاهده پروفایل

مدرس ارشد

• Experimental Economics
• Game Theory
• Economic Behavior and Learning
• +۳ مورد دیگر

Dr. Carlos Oyarzun is a Senior Lecturer at the School of Economics, University of Queensland, within the Faculty of Business, Economics and Law. He holds a PhD from Texas A&M University. His research focuses on experimental economics, game theory, and learning models applied to decision-making under uncertainty. Key areas include asset market regulation, information disclosure strategies, imitation dynamics, and risk aversion mechanisms. Notable research includes analyzing regulatory policies in experimental asset markets and investigating contagion management through information strategies. He has published extensively in top journals such as Journal of Economic Theory and Economic Theory . His work bridges theoretical models with empirical evidence, particularly in strategic behavior and market design. Dr. Oyarzun is available for academic supervision and maintains an affiliation with the Centre for Behavioural and Economic Science. His research has explored topics ranging from stochastic learning processes to the design of effective nudges in behavioral economics. He currently teaches economics courses and contributes to the academic community through collaborative projects and peer-reviewed publications.

Eva Janssensمشاهده پروفایل

استادیار

• Econometrics
• Macroeconomics
• Econometric Theory
• +۳ مورد دیگر

Eva Janssens is an Assistant Professor in the Department of Economics at the University of Michigan (since 2024). She holds a PhD from the University of Amsterdam (2022) and previously served as an Economist at the Federal Reserve Board's Macroeconomic and Quantitative Studies section (2022–2024). Her research focuses on econometric theory applied to macroeconomic questions, emphasizing high-dimensional models, earnings dynamics, and heterogeneous agent frameworks. Education: PhD in Economics, University of Amsterdam, 2022 (cum laude) Visiting Scholar, University of Pennsylvania, Fall 2021 Research Interests: Inference in structural and reduced-form models Household earnings dynamics and incomplete markets Nonlinear DSGE model estimation Finite-state Markov approximations for macroeconomic processes Her work bridges econometric methodology with applied macroeconomics, addressing challenges in model complexity and computational efficiency. Awards: CEF Student Prize 2022 (for 'Finite-State Markov-Chain Approximations') Presentations at NBER Conferences (2021–2024) Grants & Collaborations: Co-developed novel estimation frameworks with Sean McCrary and others Research on sectoral crisis transmission supported by Federal Reserve data analysis Labs/Teams: Affiliated with the University of Michigan's Macroeconomics and Econometrics research clusters.

Saija Katilaمشاهده پروفایل

مدرس ارشد

• Entrepreneurship Studies
• Organizational Behavior
• Gender Studies
• +۴ مورد دیگر

Saija Katila is a Senior Lecturer at the Department of Management Studies, Aalto University. Her research focuses on entrepreneurship studies, organizational behavior, gender studies, and sociomateriality. She explores affective encounters in organizations, gendered identity work, and institutional practices shaping entrepreneurial ecosystems. Her work bridges practice theory, feminist methodologies, and critical management studies to analyze power dynamics in workplaces and societal structures. Key research areas include the emotional dimensions of leadership, digital labor ethics, and the materiality of organizational practices. She has conducted extensive studies on Chinese business families in Finland, gendered practices in academic and entrepreneurial contexts, and the role of affect in institutional work. Her recent publications (2020–2024) emphasize transformative themes like algorithmic management, embodied identity work, and posthumanist perspectives in organizational studies. She contributes to feminist research methodologies, emphasizing decolonizing approaches and intersectional frameworks in management scholarship. No scientific awards are explicitly listed. Her advising and grant activities are not detailed in the provided texts, but her extensive publication record indicates active research leadership roles. She is affiliated with Aalto’s entrepreneurial university initiatives and has collaborated with global scholars on topics ranging from gaming cultures to environmental sustainability in organizations.

Federica Izzoمشاهده پروفایل

استادیار

• Electoral Incentives
• Intra-Party Politics
• Political Ideology
• +۳ مورد دیگر

Federica Izzo is an Assistant Professor in the departments of Political Science and Economics at Vanderbilt University. Her research employs formal methods to analyze how electoral incentives shape politician behavior, focusing on endogenous manipulation of voter preferences and candidate supply. Key research areas include intra-party politics, ideological competition, and accountability during crises. She has published in top journals like the American Political Science Review and American Journal of Political Science. Her work spans theoretical models examining policy platforms, electoral timing, and strategic communication. Recent studies explore dynamics such as 'Policy Anchors' influencing voter behavior and 'Argumentation Strategies' in party competition. She teaches undergraduate courses on political behavior theories and electoral analysis, as well as graduate courses on political economy models. Her research has been accepted/forthcoming in multiple high-impact journals, covering topics from gatekeeper dilemmas in political recruitment to evolving party systems. She collaborates with scholars like Peter Bils and Jon H. Fiva on projects blending game theory with electoral politics. Her work bridges formal models with real-world political phenomena to explain strategic behavior in democratic systems.

Delia Coculescuمشاهده پروفایل

دانشیار

• Mathematical Finance
• Quantitative Finance
• Risk Analysis
• +۳ مورد دیگر

Delia Coculescu is an Associate Professor (part-time) of Quantitative Risk Analysis at the University of Zurich's Department of Finance, with a dual appointment in the Faculty of Science. She holds a PhD from Université Paris Dauphine (2006) and conducted postdoctoral research at ETH Zurich's Mathematics Department before joining UZH as a senior researcher in 2012. Her research focuses on Mathematical Finance, Quantitative Finance, and Risk Analysis, with a particular emphasis on default systems, insurance contracts, and systemic risk. She has held visiting positions at UC Irvine, Shandong University, and the Isaac Newton Institute in Cambridge. Research Interests: Mathematical modeling of financial risk Insurance contract design under default risk Systemic risk and contagion effects Cooperative game theory in finance Stochastic processes in financial markets Her work has been published in leading journals such as Mathematical Finance , Finance and Stochastics , and Risks . She teaches advanced courses in Mathematical Finance and collaborates with institutions globally. Her recent research explores opinion dynamics in financial networks and the fragility of mutual insurance arrangements.

Jakub Steinerمشاهده پروفایل

استاد

• Game Theory
• Behavioural Economics
• Information Economics
• +۳ مورد دیگر

Jakub Steiner is a Professor of Economics at the University of Zurich's Faculty of Economics, specializing in Game Theory, Behavioral Economics, and Information Economics. He holds a prestigious ERC Consolidator Grant (BEHAVFRICTIONS, 2018–2023) supporting his research on behavioral frictions in economic decision-making. His work spans theoretical and experimental economics, with recent focus on stochastic growth, bounded rationality, and attention economics. He has advised numerous PhD students, including Maxim Goryunov (EUI Florence), Ludmila Matyskova (University of Alicante), and Kremena Valkanova (ETH Zurich postdoc). Key contributions include frameworks linking stochastic processes to decision theory, models of risk perception, and analysis of optimal test allocation during pandemics. His research has been published in top journals like Econometrica , Journal of Economic Theory , and American Economic Review: Insights . Teaching responsibilities include advanced microeconomics seminars and coordination of interdisciplinary research groups. Current projects explore latent representations in economic data and robust decision-making under uncertainty.