جست‌وجوی استاد و پژوهشگر

Abigail Devereauxمشاهده پروفایل

استادیار

• Complexity Economics
• Agent-Based Modeling
• Public Policy Analysis
• +۳ مورد دیگر

Abigail Devereaux is an Assistant Professor in the Department of Economics at the W. Frank Barton School of Business, Wichita State University. Her research focuses on complexity economics, agent-based modeling, and public policy analysis, with a particular emphasis on open-ended systems, institutional formation, and behavioral interventions. Her work bridges traditional economic theory with interdisciplinary approaches, addressing challenges in technology, governance, and societal adaptation. She holds an office at 307S Woolsey Hall on the university’s main campus and can be reached at abigail.devereaux@wichita.edu. Her research interests explore the intersection of economic theory and real-world complexity, including topics like systemic risk, innovation dynamics, and the limits of policy control. Recent work examines pandemic economics, digital transformation, and the evolution of social-technical systems. She frequently publishes on alternative economic frameworks, such as systems theory and synecological approaches. While no formal awards are listed, her publications reflect a strong focus on cutting-edge topics such as algorithmic governance, energy demand behavior, and the digital economy. Her advising and grant activities are not explicitly detailed in the provided text. She does not appear to be affiliated with named labs or research teams, though her work is likely collaborative in nature.

• Bricolage in Organizations
• Innovation Management
• Organizational Theory
• +۴ مورد دیگر

Raffi Duymedjian serves as Associate Professor in the Department of People, Organizations and Society at Grenoble Graduate School of Business, where he teaches information design for PowerPoint, argumentation, and knowledge management. His research bridges organizational theory with practical innovation frameworks, focusing on resource-constrained environments and sustainability transitions. His academic foundation includes a First Doctoral Degree in Industrial Engineering from the École Nationale Supérieure de Génie Industriel (Grenoble) and a Master's in Management from Grenoble Graduate School of Business. These qualifications underpin his interdisciplinary approach to organizational phenomena. Professor Duymedjian's research centers on bricolage theory —the improvisational use of available resources—as a lens for understanding incremental innovation, exnovation (retiring obsolete systems), and degrowth. His work examines spatial dimensions of crises (e.g., Fukushima), managerial disobedience, and the philosophical roots of entrepreneurship through Deleuzian frameworks. Recent publications integrate generative AI tools with collective bricolage, while his exploration of "creative preservation" offers novel pathways for sustainability-oriented innovation. He consistently connects micro-level organizational practices to macro-level societal challenges like economic transitions and climate resilience. His publication trajectory reveals three dominant thematic clusters: (1) theoretical extensions of bricolage to digital contexts and AI, (2) degrowth-exnovation frameworks challenging traditional innovation paradigms, and (3) spatial-phenomenological analyses of crisis response. These threads converge in his investigation of how organizations navigate uncertainty through resourceful adaptation rather than disruptive novelty. No formal scientific awards or major fellowships are documented in available sources, though his conceptual contributions to bricolage theory have significantly influenced organizational studies literature. While specific advisees aren't listed, his departmental role involves mentoring students in innovation management and organizational theory. His research implications extend to corporate sustainability practices and crisis management protocols, though no active grant funding is specified in current profiles. The absence of dedicated lab information suggests his work operates through theoretical development and case-based analysis rather than experimental facilities.

George Mengovمشاهده پروفایل

استاد

• Neurocomputational Economics
• Decision Science
• Behavioral Economics
• +۳ مورد دیگر

Prof. George Mengov is a Professor at the Department of Industrial Economics and Management, Faculty of Economics and Business Administration, Sofia University St. Kliment Ohridski since 2005. He previously worked as a Research Associate at the Bulgarian Academy of Sciences (2001–2004) and IT consultant at Unisys Corporation (1995–2000). He leads the Center for Modeling of Socio-Economic Systems and serves on the Advisory Board of Swiss Innovation Valley. Education: PhD in Economics (details not specified) Academic background in computational neuroscience and decision science Research Interests: Neurocomputational models for economic decision-making Behavioral economics and agent-based modeling Economic forecasting with limited data Socio-economic system dynamics Integration of neuroscience and economics Publications: Over 70 articles and a Springer-published book Decision Science: A Human-Oriented Perspective . Recent work focuses on neurocomputational forecasting, virtual social networks' economic impacts, and agent irrationality in socio-economic choices. Awards: No explicit awards listed, but recognized through editorial roles and international collaborations. Grants & Labs: Leads the Center for Modeling of Socio-Economic Systems. Engaged in interdisciplinary projects combining AI, economics, and neuroscience.

Pedro Fontes Falcãoمشاهده پروفایل

مدرس ارشد

• Business Administration
• Finance
• Entrepreneurship
• +۷ مورد دیگر

Pedro Fontes Falcão is a senior academic administrator at Iscte Business School , holding key roles as co-Director of the Executive MBA , Director of the Master's in Business Administration , and Vice-Director of the Business Research Unit . Previously, he served as Associate Dean and held executive positions in major corporations. Current Roles: Executive MBA co-Director, MBA Director, Business Research Unit Vice-Director Corporate Governance: Non-executive director at Parpublica, Caixa Geral de Depósitos, and chairman of supervisory boards in Banco Montepio Group Research Interests span digital transformation , SME financing , stakeholder management , and conflict resolution , with methodological emphasis on fuzzy cognitive mapping and system dynamics . Publication Trends reveal interdisciplinary work combining business strategy (e.g., digital entrepreneurship , smart cities ) with clinical research (e.g., wrist surgery , infertility studies ), suggesting cross-sector collaborations. Additional Contributions include operational research in telecommuting , reputation management , and bounded rationality in decision-making .

Nigel Waltonمشاهده پروفایل

مدرس ارشد

• Strategic Innovation
• Platform and Digital Disruption
• Artificial Intelligence (AI)
• +۳ مورد دیگر

Nigel Walton is a Senior Lecturer in Strategy and Innovation at the School of Strategy, Marketing and Innovation (SMI) within the Faculty of Business and Law at the University of Portsmouth. His research focuses on strategic innovation, platform and digital disruption, and artificial intelligence (AI), particularly AI adoption in organizations. He has contributed to the UN Sustainable Development Goals through work related to AI readiness and digital ecosystems. Education: He completed his doctoral thesis, "The Extent to Which Data-Rich Firms Operating Two-Sided Platform-Ecosystem Business Models Are Able to Use Data to Gain an Innovation Advantage Over Established One-Sided Companies," in 2018 under the supervision of Dr. Zafar Khan. Research Interests: Walton’s work explores AI’s societal and economic impacts, platform ecosystems, and digital disruption in emerging markets. He emphasizes the intersection of technology, business models, and economic development. Grants & Projects: He co-leads the AI Leadership Skills Bootcamp (2024–2025), funded by Portsmouth City Council (£144,000), focusing on AI skills development in urban contexts. Labs/Teams: Collaborates with interdisciplinary teams on projects involving AI, blockchain, and platform economies, as evidenced by his involvement in the Bootcamp initiative.

Paul Cairneyمشاهده پروفایل

استاد

• Public Policy
• Comparative Policy Analysis
• Evidence-Based Policymaking
• +۴ مورد دیگر

Paul Cairney is a Professor of Politics and Public Policy at the University of Stirling, UK. His research focuses on comparative public policy, the role of evidence in policymaking, and governance structures, particularly in the context of devolution and multi-level systems. He is a Fellow of the Academy of Social Science and has authored over 14 books and 100 peer-reviewed articles. His work explores policy theories, including the Multiple Streams Approach and Advocacy Coalition Framework, and their application to real-world issues such as health, environment, and climate justice. Cairney has led major research initiatives, including projects funded by the Economic and Social Research Council and EU Horizon2020, examining policy capacity in Scotland and strategies to reduce territorial inequalities. Key areas of research include preventive policy, the challenges of evidence-based decision-making, and the dynamics of UK devolution. He has advised the Scottish Parliament and provided expertise to committees on effective governance and pandemic responses. Cairney’s interdisciplinary approach emphasizes bridging academic and practitioner insights to address complex societal challenges. Education: PhD in Political Science Awards: Fellow of the Academy of Social Science, Ken Young Best Paper Prize Grants: Over £1.3m in research funding, including £17m consortium projects His blog ( paulcairney.wordpress.com ) and extensive publications disseminate accessible analyses of policy processes, reaching both academic and public audiences.

Maurice Allaisمشاهده پروفایل

استاد

• Economics
• Game Theory
• Monetary Economics
• +۶ مورد دیگر

Maurice Allais was a renowned French economist and professor at the École des Mines de Paris. He held the prestigious Adolphe Vuitry chair and later served as scientific director of the Toulouse School of Economics (TSE), contributing to its global standing. His academic journey included studies at École Polytechnique and a doctorate from MIT under Eric Maskin. A Nobel laureate (1988), Allais is celebrated for foundational work in general equilibrium theory, monetary economics, and regulation of industries. His research spanned economics, physics, and interdisciplinary fields like neuroeconomics. Awards include the CNRS Gold Medal (1978) and the BBVA Foundation Prize (2008). He advised on European federalism and economic policy, leaving a legacy of over 220 articles and 11 books. Education: École Polytechnique (1930s), Corps des Mines, Paris Dauphine (1978 doctorate), and MIT (1981 economics doctorate under Eric Maskin). Key roles included professorships at École des Mines and MIT as a visiting scholar. He founded TSE with Jean-Jacques Laffont, fostering a research hub with global influence. Research interests focused on general equilibrium, game theory, monetary policy, and behavioral economics. His work challenged conventional economic frameworks, emphasizing interdisciplinary insights. Notable contributions include the Allais paradox, embedded generations model, and transactional money demand theory. Scientific recognition includes the Nobel Prize, BBVA Prize, and numerous medals. He advised institutions like the European Research Council and contributed to policy on transportation and energy pricing. His legacy is marked by bridging academic rigor with practical policy, influencing generations of economists worldwide.

Sriram Sankaranarayananمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Methods
• Robotics
• +۳ مورد دیگر

Sriram Sankaranarayanan is a Professor of Computer Science and the Associate Dean for Digital Education in the College of Engineering at the University of Colorado Boulder. He earned his PhD in Computer Science from Stanford University in 2005 under Zohar Manna and Henny Sipma. Prior to joining CU Boulder in 2009, he worked as a research staff member at NEC Laboratories America. His research focuses on formal methods for cyber-physical systems, including hybrid dynamical systems analysis, safety verification, and applications in robotics, medical devices (e.g., artificial pancreas systems), and human-autonomy interaction. He leads the Programming Languages & Verification group at CU Boulder and teaches courses in programming languages, algorithms, and control systems. Recent work emphasizes neural network-based control systems, robust safety guarantees, and anticipatory algorithms for stochastic games. His contributions span theoretical advancements (e.g., control barrier functions) and practical tools like the Sherlock verification framework. He has advised numerous PhD students, including Emily Jensen, Monal Narasimhamurthy, and Kandai Watanabe. Publications highlight innovations in physics-informed neural networks (PINNs), polyhedral control Lyapunov functions, and anticipate-act strategies for human-robot collaboration. Research spans domains from energy policy modeling to healthcare technology, reflecting his interdisciplinary approach to system-level challenges.

Thorsten Moenigمشاهده پروفایل

دانشیار

• Actuarial Science
• Insurance Economics
• Applied Game Theory
• +۶ مورد دیگر

Thorsten Moenig serves as Associate Professor in the Department of Risk, Actuarial Science and Legal Studies at Temple University's Fox School of Business, where he directs the Actuarial Science Masters’ program and teaches undergraduate and graduate courses including Theory of Interest, Long-Term Actuarial Modeling, and Actuarial Corporate Finance. His academic credentials include a Master’s degree in Actuarial Science from the University of Connecticut and a PhD in Risk Management and Insurance from Georgia State University. He maintains professional designation as an Associate of the Society of Actuaries (ASA). Dr. Moenig's research program bridges actuarial science, insurance economics, and behavioral decision theory, with concentrated expertise in retirement income products. His work critically examines variable annuities and RILAs through the dual lenses of insurer valuation/hedging challenges and policyholder behavioral responses to complex guarantees. Recent publications demonstrate sophisticated integration of stochastic modeling, dynamic programming, and experimental economics to address market imperfections in insurance product design. Analysis of his 15 most recent publications reveals dominant research trajectories in retirement product innovation (particularly RILAs), nuanced exploration of policyholder behavior under uncertainty, and methodological advances in valuation techniques. The corpus shows increasing interdisciplinary convergence between traditional actuarial science and behavioral economics, with growing emphasis on practical implications for product design in incomplete markets. His scholarly recognition includes: 2017 Redington Prize from the Society of Actuaries Two Outstanding Teacher Awards by Gamma Iota Sigma's Sigma chapter As program director and editorial board member of the Journal of Risk and Insurance, Dr. Moenig actively shapes actuarial education and research discourse. His teaching portfolio spans foundational theory (AS 2502/5101 Theory of Interest) to advanced applications (AS 5126 Option Pricing), reflecting comprehensive expertise across the actuarial curriculum. Current research directions suggest continued exploration of behavioral aspects in retirement product markets and computational advances in complex guarantee valuation. He leads Temple University's Actuarial Science Masters’ program, overseeing curriculum development and academic operations for this specialized graduate track within the Risk, Actuarial Science and Legal Studies department.

William Pennyمشاهده پروفایل

استاد

• Brain Imaging
• Bayesian Inference
• Dynamical Systems
• +۳ مورد دیگر

William Penny is a Professor in Psychology at the University of East Anglia (UEA), School of Psychology. He joined UEA in 2017 after serving as a Professor at University College London (UCL). His research focuses on brain imaging methodologies, particularly analyzing fMRI and EEG data using Bayesian Inference, Dynamical Systems, and Probabilistic Machine Learning. He holds a BEng in Electrical Engineering (Nottingham University, 1988), MSc in Communication Engineering (Imperial College, 1989), and PhD in Artificial Neural Networks (Brunel University, 1993). He has led projects including a Wellcome Trust-funded initiative on brain imaging (2019–2024) and a study on brain function during perimenopause with Braincare Limited (2025–2026). His work spans collaborations in neuroimaging analysis, cognitive modeling, and translational neuroscience. His research outputs emphasize Bayesian methods, dynamic causal models, and computational neuroscience, with 84+ peer-reviewed articles. Key areas include cortical degeneration in Huntington’s disease, diet-cognition links, and neural mechanisms of decision-making. His lab, the UEA Brain Imaging Centre (UBIC), advances multimodal neuroimaging techniques. Professional affiliations include the Wellcome Trust Centre for Human Neuroimaging at UCL and international collaborations. No specific awards are listed, but his contributions to neuroimaging methodology are widely recognized.

Marc Stadtlerمشاهده پروفایل

استاد

• Competence Development
• Competence Modeling
• Cognitive Foundations of Learning
• +۳ مورد دیگر

Prof. Dr. Marc Stadtler is a full professor of Competence Development and Competence Modeling at the Institute for Educational Research at Ruhr-University Bochum (Germany). He leads the Competence Development & Competence Modeling Lab and holds a habilitation from the University of Münster (2014). His research focuses on cognitive and metacognitive foundations of learning, particularly in digital environments, and the evaluation of scientific information by laypersons. Key areas include online misinformation literacy, formal/informal learning integration, and education technology interventions. Education: PhD in Psychology (Educational Psychology specialization), University of Münster (2005) Habilitation in Educational Psychology, University of Münster (2014) Research emphasizes: Critical evaluation skills development Training programs for information literacy Cognitive models of reading comprehension Science communication dynamics Recent work explores misinformation resilience through game-based learning (e.g., 'Misinformation is Contagious'), teacher-led interventions, and source credibility assessment. His research has been funded by DFG, BMBF, ANR, and the Deutsche Telekom Foundation. Awards include the 2005 Dissertation Prize from University of Münster. Active in scientific communities, he recently presented at the 2025 Max Planck Summer Institute on Bounded Rationality.

• Cognitive Psychology
• Computational Neuroscience
• Memory Systems
• +۴ مورد دیگر

Arnold Glass is a Professor in the Department of Psychology at Rutgers, The State University of New Jersey. He holds a prominent role within the School of Arts and Sciences, focusing on computational models of cognitive processes. His research investigates how the brain encodes and retrieves information, particularly in visual recognition, memory systems, and decision-making frameworks. Dr. Glass has contributed extensively to understanding the interplay between neural mechanisms and artificial intelligence, aiming to bridge cognitive science with technological applications. His work spans theoretical and applied domains, including studies on classroom learning dynamics, where he has shown how attention allocation and instructional methods impact academic performance. He has also explored prosumer behavior in energy systems, integrating behavioral economics with smart grid technologies. Glass’s research emphasizes the dual-system model of cognition, linking voluntary action, perception, and neural architecture. Recent publications highlight his exploration of memory systems through tasks like same/different matching and the impact of feedback timing on exam performance. His findings have practical implications for educational strategies and cognitive computing, reflecting his interdisciplinary approach to advancing both theoretical and applied knowledge. While no formal awards are listed, his prolific publication record and cross-disciplinary contributions underscore his influence in cognitive psychology and neuroscience. Advising and grant activities are not detailed in the provided materials, but his research themes suggest active engagement with computational modeling and behavioral studies.

• Business Psychology
• Organizational Behavior
• Consumer Behavior
• +۶ مورد دیگر

Jörn Basel is a Professor at the Lucerne School of Business (HSLU), part of Lucerne University of Applied Sciences and Arts, where he leads research in the Institute of Tourism and Mobility (ITM). His professional journey includes roles as a Professor of Business Psychology at Kalaidos FH Schweiz (2013-2020) and as a Researcher at ESCP Business School Berlin (2008-2012). He holds a Dr. rer. pol. from ESCP Business School Berlin and a Dipl.-Psych. from Heidelberg University. His research focuses on applied decision research , behavioral insights , trust and risk perception , and organizational behavior . Notable projects include studies on sustainable tourism mobility nudges, chatbot-based learning support systems, and crisis communication strategies. He actively advises organizations like The Negotiation Studio and collaborates with industry partners such as BLS AG and ITC eco Hotel. Recent publications highlight his work on nudging ethics , trust restoration post-crisis , and behavioral aspects of compliance . His interdisciplinary approach integrates psychology, business, and technology to address challenges in organizational leadership, consumer behavior, and sustainable mobility solutions. He has presented at major conferences including the EGOS Colloquium and the Forum Hospital Management, showcasing his expertise in trust dynamics, cyber risk psychology, and innovation adoption. His academic contributions span edited volumes on risk psychology and applied business ethics, reflecting a commitment to bridging theoretical insights with practical business applications.

• Partial Differential Equations
• Harmonic Analysis
• Nonlinear Potential Theory
• +۳ مورد دیگر

Nguyen Cong Phuc is a Professor at the Department of Mathematics, Louisiana State University (LSU). His primary research focuses on Partial Differential Equations, Harmonic Analysis, and Nonlinear Potential Theory. He holds an office in 312 Lockett Hall and teaches MATH 7375: Wavelets in Spring 2025. His research contributions span quasilinear and Hessian equations, singular integrals, and potential theory. Notable work includes studies on p-Laplace equations, Choquet spaces, and maximal functions. He has extensively explored gradient estimates, measure data problems, and Sobolev space embeddings. His findings appear in top journals such as Annals of Mathematics, Archive for Rational Mechanics and Analysis, and Journal de Mathématiques Pures et Appliquées. Dr. Phuc collaborates with leading mathematicians like Igor Verbitsky and Tuoc Phan, addressing challenges in elliptic equations, capacity theory, and nonlinear potential estimates. His recent work emphasizes universal potential estimates and uniqueness criteria for entire solutions. He has advised numerous graduate students and holds expertise in advanced topics like Reifenberg flat domains and Carnot-Carathéodory spaces. Current research includes Choquet integral applications and BMO solutions to p-Laplace equations.

Jiuyi Zhuمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Harmonic Analysis
• Spectral Theory
• +۴ مورد دیگر

Jiuyi Zhu is an Associate Professor in the Department of Mathematics at Louisiana State University (LSU). His research focuses on partial differential equations, harmonic analysis, spectral theory, and geometric analysis. Specific interests include geometric properties of eigenfunctions, quantitative uniqueness of PDE solutions, elliptic homogenization, nonlinear PDEs, and geometric inequalities. Dr. Zhu has an extensive publication record in top journals such as Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, and Communications in Partial Differential Equations. His work often bridges theoretical analysis with applications in mathematical physics and spectral geometry. Recent research trends emphasize spectral inequalities, quantitative unique continuation, and nodal set analysis in elliptic equations and Schrödinger operators. Outreach activities include demonstrations of Chladni patterns, K-12 math outreach, and undergraduate projects on vibrations and isoperimetric inequalities. His contributions to the field include groundbreaking studies on doubling inequalities, critical sets in periodic homogenization, and boundary value problems for eigenfunctions. While no specific grants or awards are listed, his work reflects sustained engagement with foundational and applied aspects of PDE theory.