جست‌وجوی استاد و پژوهشگر

Somayeh Asadiمشاهده پروفایل

دانشیار

• Energy Utilization
• Renewable Energy Systems
• Sustainable Urban Planning
• +۶ مورد دیگر

Somayeh Asadi is an Associate Professor in the Department of Architectural Engineering at Pennsylvania State University . Her research integrates sustainable building design, renewable energy systems, and infrastructure resilience. Key areas include energy-efficient building envelopes, asphalt material science, and urban electrification planning. She leads projects funded by NSF, including a $1M grant for autism-inclusive AI career pathways. Education & Affiliations: Affiliated with Penn State's Institutes of Energy and the Environment, focusing on Integrated Energy Systems and Equitable Communities. Active in the College of Engineering's interdisciplinary initiatives. Research Highlights: Recent work emphasizes: Optimizing classroom daylighting and energy use across U.S. climate zones Thermal performance of photovoltaic-integrated façade systems Data-driven equity in EV charging infrastructure placement Resilience of food-energy-water systems in changing climates Grants & Recognition: 2023 U.S. Fulbright Scholar awardee. Leads NSF-funded projects on autism career pathways and Arctic climate adaptation. Recent publications address microgrid design, pavement material innovation, and bike-trip-driven urban sustainability transitions. Technical Expertise: Combines engineering principles with data science approaches, including agent-based modeling and probabilistic programming for energy systems. Collaborates internationally on projects in Indonesia and Arctic communities.

Orhan Torulمشاهده پروفایل

دانشیار

• Macroeconomics
• Economic Inequality
• Political Economy
• +۳ مورد دیگر

Orhan Torul is an Associate Professor of Economics at Boğaziçi University in Istanbul, Turkey. He holds a Ph.D. in Economics from the University of Maryland (2013) and has held academic positions at institutions including the University of Chicago and the University of Oslo. His research focuses on macroeconomics, economic inequality, political economy, and public policy, with notable work on intergenerational mobility, fiscal policy, and the distributional consequences of economic policies. Torul has been recognized with prestigious awards such as the Boğaziçi University Outstanding Achievement in Research Award (2023) and the Science Academy Young Scientists Award (BAGEP, 2023). Education includes a B.S. in Business Administration from Middle East Technical University (2006), M.A. degrees from Boğaziçi University (2009) and the University of Maryland (2011), and a Ph.D. from the University of Maryland (2013). His research has been supported by grants including Boğaziçi University BAP projects and TÜBİTAK funding. Torul has also served as Vice Chair of the Department of Economics and Director of the Center for Economics and Econometrics at Boğaziçi University. His research interests emphasize policy-relevant studies on income inequality, political economy dynamics, and institutional design. Recent work examines Turkey's economic inequality trends (2002-2022), intergenerational educational mobility, and the implications of informal economic sectors for public finance. Torul's publications span journals and conferences, addressing topics from electoral probabilities to experimental economics. Professional highlights include a Fulbright Visiting Scholars Program fellowship (2021-2022) at the University of Chicago and participation in the Lindau Nobel Laureate Meetings (2014). He contributes to both Turkish and international academic communities through teaching, research, and policy engagement.

Stefano Baliettiمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Blockchain Governance
• Experimental Economics
• +۳ مورد دیگر

Stefano Balietti is a postdoctoral researcher at the University of Mannheim's chair of Data Science in Economic and Social Sciences. Previously affiliated with institutions like ETH Zurich, Harvard, and Microsoft Research, his work spans computational social science, blockchain governance, and experimental design. He is the creator of the open-source nodeGame platform for real-time behavioral experiments and co-founder of the State of Crypto initiative. He leads EduCERT, a project advancing digital teaching through blockchain. Affiliations: University of Mannheim (current), Heidelberg University, MZES, Microsoft Research, Northeastern University, Harvard IQSS, ETH Zurich Roles: Academic researcher, software developer, project leader His research focuses on consensus formation, peer review systems, blockchain governance, and optimal experimental designs. He has pioneered methodologies combining simulations, data analytics, and online experiments. His work on DAO governance and cryptocurrency markets has been widely cited. Key contributions include the nodeGame platform and the State of Crypto network. Awards include a special mention in the 2017 Exeter Prize and a Best Lightening Talk Award for his work on market structures. He teaches courses on blockchain economics, computational social science, and experimental design at Mannheim and Heidelberg. His interdisciplinary approach bridges computer science, sociology, and economics, with over 20 peer-reviewed publications since 2011.

• User Experience Design
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Hyo Jeong Kang is an Assistant Professor at the University of Florida's Digital Worlds Institute, specializing in VR/AR interaction design for educational and workforce training applications. She holds a Ph.D. in Design Studies from the University of Wisconsin–Madison with a concentration in Virtual Reality, complemented by an M.S. from Seoul National University and a B.B.A. from Ewha Womans University. Her research develops intuitive VR interfaces for non-technical users, focusing on microelectronics training, autism support tools, and inclusive design addressing racial microaggressions. Dr. Kang leads multiple NSF-funded projects including semiconductor workforce development programs and VR training for microelectronics physical assurance. Her work bridges immersive technology with practical applications in industry training and social equity. Major Grants: NSF ExLENT: Preparing Autistic individuals for Semiconductor QA Engineering ($620,104) NSF SaTC:EDU: Next-Gen VR Training for Microelectronics ($497,905) NSF Engine: Central Florida Semiconductor Innovation Engine ($2.35M UF sub-award) US Army SCALE: Microelectronic Workforce Development ($450,000 UF sub-award)

• Nonlinear Economic Dynamics
• Financial Modeling
• Asset Pricing
• +۷ مورد دیگر

Roberto Dieci is a Full Professor at the Department of Mathematics of the University of Bologna, specializing in Mathematical Methods for Economy, Finance, and Actuarial Sciences (STAT-04/A). His research focuses on nonlinear economic dynamics, financial market instability, heterogeneous agent models, and complex systems analysis. He holds office hours in Rimini and offers online consultations via Microsoft Teams. Dieci's academic career is characterized by contributions to understanding speculative behavior, asset price fluctuations, and interactions between stock, bond, and housing markets. His work integrates mathematical modeling with economic theory, addressing topics such as production delays, capital gains taxation impacts, and endogenous growth with leisure services. He has published extensively in top journals and edited special issues on nonlinear dynamics in economics. Key research themes include bifurcation analysis in financial models, the role of heterogeneous beliefs in asset pricing, and the emergence of bull-and-bear market cycles. His models explore global bifurcations, market mood dynamics, and policy measures to mitigate financial fragility. Despite his prolific output, no awards or grants are explicitly listed in the provided materials. Dieci’s advising and team involvement remain unreported, though his affiliation with the Quantitative Finance Research Centre and contributions to interdisciplinary journals suggest active collaboration. His work bridges mathematics, finance, and behavioral economics, emphasizing real-world applications of nonlinear systems theory.

• Environmental Macroeconomics
• Sustainable Finance
• Climate Economics
• +۳ مورد دیگر

Emanuele Campiglio is an Associate Professor at the University of Bologna in the Department of Economic Sciences . He also serves as a Scientist at the RFF-CMCC European Institute on Economics and the Environment (EIEE) and holds a Visiting Fellow position at the London School of Economics and Political Science (LSE) . Previously, he was an Assistant Professor at the Vienna University of Economics and Business (WU). Research Focus: His work centers on environmental macroeconomics, sustainable finance, transition modeling, and the political economy of sustainability transitions. Key projects include the ERC-funded SMOOTH Project (Sustainable finance for a smooth low-carbon transition), analyzing macro-financial systems' interactions with climate policy. Awards & Grants: ERC Starting Grant (2020) for SMOOTH Project ERC Consolidator Grant (2024) for the BELIEFS Project Education & Academic Roles: Campiglio's academic background includes roles at leading institutions. He advises on climate policy and financial risks, collaborating with international bodies like the IMF and NAS. His work bridges climate science, economics, and finance to inform policy design. Labs & Collaborations: Engaged in cross-disciplinary research at EIEE and LSE's Grantham Research Institute, focusing on climate-related financial risks and sustainable policy frameworks.

John Liechtyمشاهده پروفایل

استاد

• Statistics
• Financial Markets
• Marketing Research
• +۷ مورد دیگر

John Liechty is a Professor of Marketing and Statistics at the Smeal College of Business, Pennsylvania State University. He holds a Ph.D. in Mathematical Statistics from the University of Cambridge (1998) and advanced degrees from Brigham Young University. His research spans statistical methodology, financial modeling, and marketing analytics, with notable contributions to option pricing, asset allocation, and systemic risk monitoring. He serves on editorial boards for journals like Marketing Science and Quantitative Finance . Education: Ph.D. in Mathematical Statistics, University of Cambridge, 1998 M.S. in Statistics, Brigham Young University, 1993 B.S. in Applied Physics, Brigham Young University, 1991 Research Interests: Liechty’s work combines statistical innovation with practical applications in finance and marketing. Key areas include: Bayesian methods and Markov Chain Monte Carlo (MCMC) algorithms Financial risk modeling and systemic risk analysis Public goods economics and incentive-aligned mechanisms Data reduction techniques and large-scale data analysis Marketing research methodologies, including conjoint analysis and web path analysis Professional Activities: Founder, Committee to Establish the National Institute of Finance (CE-NIF) Researcher, U.S. Department of Treasury’s Office of Financial Research (2013–2016) IBM Research Fellow (2010–2012) Consultant to financial firms like Morgan Stanley and Goldman Sachs Awards: Fellow of the American Statistical Association (2011) Fellow of the Royal Statistical Society (1999) IBM Faculty Fellow (2011) Teaching: Courses include Marketing Research (MKTG 342), Marketing Strategy (MKTG 450W), and Business Statistics (BA 815).

Frans Prenkertمشاهده پروفایل

استاد

• Business Administration
• Industrial Networks
• Sustainability
• +۵ مورد دیگر

Frans Prenkert is a Professor of Business Administration at Örebro University School of Business and leads the Center for Sustainable Business (CSB). He holds a PhD in Business Studies from Uppsala University (2004) and became a Docent in Business Administration there in 2011 before moving to Örebro University in 2016. Education: PhD in Business Studies, Uppsala University, 2004 Docent in Business Administration, Uppsala University, 2011 Professor of Business Administration, Örebro University, 2016 His research focuses on industrial business networks and their role in modern economies, emphasizing sustainability, socio-technical-economic systems, and agent-based modeling. Key areas include logistics, food production networks, and circular economy dynamics. He collaborates extensively with industry and public sector organizations to access real-world data. Recent work explores tools for analyzing network-based economies, including AI-driven simulations. Projects like FOODBITE and Rewine the World address food supply chain sustainability and resource optimization. Grants & Collaborations: Engaged in projects funded by Swedish and international bodies, including the EU's ScanMed Corridor initiative. Supervises PhD students and teaches in programs like Sustainable Entrepreneurship and Industrial Management. Labs/Teams: Research groups include CSB Value Chain and CSB Circular Economy, focusing on logistics, sustainability, and network dynamics.

• Political Economy
• Global Economic Integration
• Political Sovereignty
• +۴ مورد دیگر

Jonathon Wayne Moses is a Professor in the Department of Sociology and Political Science at the Norwegian University of Science and Technology (NTNU). He holds a PhD from the University of California, Los Angeles (UCLA). His research focuses on the interplay between global economic integration and political sovereignty, with special attention to migration, resource management, and sovereign wealth funds. Education: PhD in Political Science from UCLA. Research interests include political economy, migration policy, resource rents, and international relations. His work bridges theoretical frameworks with empirical analysis, particularly in small states' responses to globalization. Publications span academic monographs, journal articles, and edited volumes, with recent work exploring AI in agent-based modeling, resource governance, and European labor market dynamics. His articles often critique policy frameworks and propose innovative solutions for equitable resource management. No scientific awards are explicitly mentioned, but his extensive publication record and academic leadership highlight his scholarly contributions. Collaborations include projects with Anne Margrethe Brigham, Bjørn Letnes, and others on topics like sovereign wealth funds and migration economics.

Pietro Panzarasaمشاهده پروفایل

استاد

• Social Networks
• Innovation Studies
• Health Informatics
• +۴ مورد دیگر

Pietro Panzarasa is a Professor of Networks and Innovation at Queen Mary University of London (QMUL), School of Business and Management. He also holds visiting professorships at IMT School for Advanced Studies Lucca (Italy), Imperial College London’s Centre for Complexity Science, and Cambridge Networks Network (CNN). He earned his PhD in Business Administration from Bocconi University. His research focuses on social capital, innovation, and network science, with applications to healthcare, urban dynamics, and global trade. Education: PhD in Business Administration and Management, Bocconi University, Italy Research Interests: Structural foundations of social capital in networks Online health communities and digital health Global value chains and trade networks Geo-social networks and urban sociology Network methodology (e.g., rich-club effect, multiplex networks) Key Themes in Articles: His work bridges computational social science, network theory, and big data. Recent themes include early warning systems for pandemics via social media, startup success prediction, Brexit’s impact on research collaboration, and urban social diversity. Awards: 2018 NHS Trust Collaboration Award (runner-up) 2016 Best Paper Award (Imperial College SIAM) 2009 Best Paper at International Conference on Complex Sciences Grants & Partnerships: He has secured funding from Wellcome Trust, EPSRC, and others. Collaborators include AstraZeneca, HealthUnlocked, and the Royal College of Surgeons. Labs/Teams: He directs the MRes Programme and co-leads the Business Ecosystems Research Group (BERG) and Centre for Globalisation Research (CGR).

Yoshimichi Satoمشاهده پروفایل

استاد

• Game Theory
• Social Stratification
• Social Exclusion
• +۴ مورد دیگر

Yoshimichi Sato is Dean of the Faculty of Humanities at Kyoto University of Advanced Science and Professor of Sociology at Tohoku University. He holds a distinguished career in sociological research with a focus on Game Theory applications, social stratification, and institutional analysis. His academic journey includes fellowships at the University of Chicago and Cornell University, where he developed expertise in computational sociology and rational choice theory. Education: Completed graduate studies at the University of Tokyo's Graduate School of Sociology. Research highlights include studies on social exclusion mechanisms, labor market inequality between regular and non-regular workers, and the role of institutions in shaping social outcomes. He directed the Centre for the Study of Social Stratification and Inequality (CSSI) at Tohoku University, fostering interdisciplinary research. His work bridges theoretical frameworks with empirical studies, addressing global forces and local institutions. Awards include the Science Council of Japan membership (2017) and PROSE Awards (2016). Current projects involve modeling social exclusion chains using agent-based simulations to propose institutional solutions.

HASHIMOTO Takashiمشاهده پروفایل

استاد

• Cognitive Science
• Language Evolution
• Complex Systems
• +۶ مورد دیگر

Professor HASHIMOTO Takashi is a leading academic in Knowledge Science and Co-Creative Intelligence at Japan Advanced Institute of Science and Technology (JAIST). He holds a Ph.D. from the University of Tokyo and has been a Professor at JAIST since 2009. His primary research focuses on the evolutionary origins and dynamics of language, symbolic communication, and institutional design, employing computational models, cognitive experiments, and mathematical analysis. He has held visiting researcher positions at institutions like Telecom ParisTech and Edinburgh University. His work bridges linguistics, cognitive science, and evolutionary biology, exploring how hierarchical structures and recursive processes underpin language evolution and social systems. Research interests include: language evolution, complex systems analysis, institutional ecosystems, cultural evolution, and recursive combination mechanisms. Notably, he develops cognitive models of grammaticalization and investigates the neural underpinnings of symbolic communication through EEG studies and synchronization theories. His interdisciplinary approach integrates agent-based simulations and social surveys to study institutional formation and societal dynamics. Key achievements include receiving the Outstanding Paper Award in 2014 and organizing major conferences like the International Symposium on Knowledge and Systems Science. His lab activities emphasize collaborative research and field experiments, with a focus on fostering students through intensive workshops and international collaborations. Current projects explore the adaptive role of recursive processes in material culture and the design of community currency systems to enhance societal resilience.

Philip Kalikmanمشاهده پروفایل

استادیار

• Finance
• Real Estate Economics
• Mortgage Markets
• +۵ مورد دیگر

Dr. Philip Kalikman is an Assistant Professor of Finance, Real Estate, and Economics at the University of Cambridge, Department of Land Economy. Previously, he served as Assistant Professor of Finance and Real Estate at Yeshiva University's Sy Syms School of Business (on leave AY'23-'24). He holds a PhD in Economics from Yale University and a BA in Mathematics from the University of Chicago. Education: Yale University (MA, MPhil, PhD in Economics); University of Chicago (BA in Mathematics) Current Role: University Assistant Professor at Cambridge Prior Role: Assistant Professor at Yeshiva University His research combines high-resolution data analysis and computational models to examine mortgage markets, housing dynamics, financial policy, and intersections with artificial intelligence. He explores how structural economic modeling interacts with machine learning, particularly in mortgage default prediction and climate risk assessment. His work addresses policy-relevant questions about credit availability, discrimination in lending, and climate change impacts on financial assets. Recent publications focus on AI's limitations in financial modeling, discrimination detection frameworks, and mortgage default mechanisms. He teaches undergraduate and graduate courses in finance, corporate finance, and research design, with a reputation for translating complex economic concepts into accessible insights. Scientific Awards Nominated for university-wide teaching prize at Cambridge Active in professional service, he serves as Treasurer for the New York Festival of Song and Students for Educational Justice. His applied work extends to consulting for finance, law, and real estate firms, including expert witness testimony and quantitative model development for fintech startups.

• Macroeconomics
• Monetary Policy
• Fiscal Theory
• +۵ مورد دیگر

Vincent Sterk is a Professor of Economics at the Department of Economics, University College London (UCL). He holds additional roles as a joint Managing Editor of the Review of Economic Studies and an academic advisor to the Bank of England. He also serves as an adjunct professor at NHH Bergen. His research focuses on Macroeconomics, including monetary and fiscal theory, and Entrepreneurship. He explores topics such as the impact of quantitative easing, startup dynamics, and the effects of monetary policy on inequality. His work addresses Sustainable Development Goals related to poverty reduction, economic growth, sustainable cities, and reduced inequalities. Recent publications analyze the interplay between stock market participation and monetary policy, post-pandemic startup employment recovery, and macroeconomic performance in Europe. His research emphasizes policy-relevant analysis, including tools like the EU Start-up Calculator for assessing crisis impacts. Professor Sterk’s contributions bridge theoretical frameworks (e.g., HANK & SAM models) with empirical policy design, offering insights into economic fluctuations and structural reforms. His interdisciplinary approach integrates labor markets, financial innovation, and institutional policies to address contemporary macroeconomic challenges.

Bruno Codenottiمشاهده پروفایل

عضو هیئت علمی

• Computation of Market Equilibria
• Computational Game Theory
• WEB Algorithmics
• +۲ مورد دیگر

Bruno Codenotti is a Research Director at the Istituto di Informatica e Telematica, part of the Consiglio Nazionale delle Ricerche in Pisa, Italy. His research focuses on computational game theory, market equilibrium algorithms, and distributed systems. He has taught courses such as Computational Game Theory at international institutions including the University of Padova and the University of Chicago. His research interests include algorithm design for economic applications, web algorithmics, and linear algebra optimizations, with significant contributions to computational complexity theory and digital rights management techniques.