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Walter W. PowellView profile

Professor

• Organizational Theory
• Institutional Theory
• Network Analysis
• +4 more

Walter W. Powell is the Jacks Family Professor of Education at Stanford University, with courtesy appointments in Sociology, Organizational Behavior, Management Science and Engineering, and Communication. He serves as Faculty Co-Director of the Stanford Center on Philanthropy and Civil Society (PACS), which he co-founded in 2006, and leads the Civic Life of Cities Lab examining civil society organizations across global metropolitan areas. Powell is also an External Faculty member at the Santa Fe Institute and co-directs the CASBS summer institute on Organizations with MIT's Bob Gibbons. His educational background includes a PhD in Sociology from SUNY-Stony Brook (1978), an MA in Sociology from the same institution (1975), and a BA from Florida State University (1971). Powell's research fundamentally explores how ideas and practices transfer across organizational boundaries, with particular emphasis on network structures that enable or constrain knowledge diffusion. His work spans organizational theory, institutional analysis, university-industry relations, economic sociology, and comparative analysis of nonprofit, public, and private institutional forms. Powell's publications reveal consistent focus on network dynamics and institutional evolution, particularly examining how organizations navigate between market, hierarchy, and network governance structures. His research demonstrates how knowledge spillovers operate within biotechnology clusters, how institutional isomorphism shapes organizational fields, and how civil society organizations adapt to technological and economic pressures across different urban contexts. Dean's Award for Excellence in Graduate Teaching (2018-19) Max Weber Award for "Neither Market Nor Hierarchy" Viviana Zelizer Prize for "Network Dynamics and Field Evolution" Administrative Science Quarterly Recognition Member of Swedish Royal Academy of Science Member of The British Academy Member of American Academy of Arts and Sciences Honorary Degrees from Uppsala University, Copenhagen Business School, and Aalto University Powell has made substantial contributions to graduate education, receiving Stanford's highest teaching honor. His leadership of PACS and SCANCOR (1999-2010) demonstrates sustained commitment to advancing organizational research through collaborative initiatives. He supervises postdoctoral fellows and runs annual PhD workshops in Europe, fostering the next generation of organizational scholars. His research has been supported by grants enabling comparative studies of university-industry relations and civil society across multiple national contexts. Through the Civic Life of Cities Lab at PACS, Powell directs comparative research on civil society organizations across seven global cities, examining how these organizations navigate technological change, economic pressures, and political environments. His work bridges theoretical organizational sociology with practical applications in philanthropy, civil society development, and knowledge transfer between academic and commercial sectors.

Metin UyanikView profile

Senior Lecturer

• Economic Theory
• Game Theory
• Microeconomic Theory
• +3 more

Dr. Metin Uyanik is a Senior Lecturer at the School of Economics, The University of Queensland. He holds a PhD from Johns Hopkins University (2016) and previously worked as a Postdoctoral Research Fellow at the University of Rochester's Wallis Institute of Political Economy. His research focuses on Economic Theory, Game Theory, Political Economy, Computational Economics, and Mathematical Economics. His work has been published in top-tier journals such as Economic Theory , Games and Economic Behavior , and Journal of Mathematical Economics . Education: Bachelor of Economics, Bogazici University Masters (Research) of Economics, Koc University Doctor of Philosophy, The Johns Hopkins University Research Interests: Dr. Uyanik's research bridges theoretical and applied economics, emphasizing foundational mathematical approaches. His work explores general equilibrium theory, discontinuous games, topological methods in economics, and welfare economics. Key themes include the analysis of non-convex economies, fixed-point theorems, and the integration of axiomatic frameworks with behavioral assumptions. Teaching: He teaches Advanced Microeconomics, Economics for Commerce, and Introduction to Strategic Thinking at UQ. His pedagogical focus includes mathematical rigor and practical applications of economic theory. Collaborations & Future Work: Collaborations with scholars like M. Ali Khan and Richard P. McLean highlight his engagement with complex theoretical frameworks. Ongoing projects include studies on large production economies, myersonian common knowledge, and computational methods in equilibrium analysis.

• Probabilistic Machine Learning
• Bayesian Models
• Statistical Inference
• +12 more

Luigi Acerbi is an Associate Professor in the Department of Computer Science at the University of Helsinki, where he leads the Machine and Human Intelligence research group. He is also an active member of the Finnish Center for Artificial Intelligence (FCAI) and ELLIS (European Laboratory for Learning and Intelligent Systems). His research focuses on probabilistic machine learning and computational neuroscience, particularly on developing efficient methods for statistical inference, Bayesian models of perception, and resource-constrained rationality. His work bridges machine learning and cognitive science, with applications in Bayesian optimization, simulation-based inference, and image completion. The recent publications highlight a strong trend toward unifying probabilistic conditioning across diverse tasks using transformer-based meta-learning frameworks like the Amortized Conditioning Engine (ACE). These works emphasize amortized inference, flexible latent variable modeling, and the integration of prior knowledge at runtime, enabling efficient and scalable Bayesian methods for complex problems. Scientific Affiliations: University of Helsinki, Department of Computer Science Finnish Center for Artificial Intelligence (FCAI) ELLIS (European Laboratory for Learning and Intelligent Systems) Education: PhD in Computational Neuroscience, Doctoral Training Centre, Edinburgh, UK Advisor: Sethu Vijayakumar and Daniel Wolpert Visiting work at Computational and Biological Learning Lab, Cambridge Postdoctoral Experience: Alex Pouget’s lab, University of Geneva, Switzerland Wei Ji Ma, New York University, USA Collaboration with the International Brain Laboratory Luigi Acerbi mentors PhD students including Daolang Huang and Nasrulloh Loka, and collaborates widely with researchers such as Samuel Kaski. He has contributed to open-source tools like PyVBMC and is involved in community initiatives such as the EurIPS conference. His work is supported by grants from the Research Council of Finland, Business Finland, and the UKRI Turing AI World-Leading Researcher Fellowship. He leads a research lab focused on amortized probabilistic inference, with ongoing projects including PriorGuide and Stacked VBMC, aiming to make Bayesian methods more practical and accessible for real-world scientific and engineering applications.

• Control Technology
• Distributed Optimization
• Machine Learning
• +4 more

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Project Management
• Supply Chain Resilience
• Digital Transformation
• +11 more

Dr. Mohsin Malik is an Associate Professor of Project Management at Swinburne University of Technology (since 2023) in Melbourne, Australia. Previously, he held roles as Senior Lecturer (2018–2022) at Swinburne and Lecturer (2016–2018) at the University of Melbourne. He earned his PhD in Technology Management from the University of Western Australia (2012). His research focuses on organizational dynamics for innovative outcomes in digital contexts, sustainability in supply chains, and project management practices aligned with UN Sustainable Development Goals (SDG-9, SDG-12, SDG-3). Key areas include digital transformation, lean management, agile project management, and supply chain resilience. Dr. Malik’s work has been published in top-tier journals like the International Journal of Project Management, Information & Management, and IEEE Transactions on Engineering Management. He currently serves as Senior Associate Editor of the International Journal of Physical Distribution & Logistics Management and has secured grants totaling over AUD 1M, including a 2025–2028 project on digital transformation in Indian/Australian organizations funded by DFAT. His research explores topics such as socio-cognitive dynamics in digital transformation, lean socio-technical systems, and agency theory in international development projects. Recent projects include analyzing digital platform interactions for Australian artists and evaluating virtual healthcare barriers during the pandemic. He actively supervises doctoral and master’s students focusing on digital governance, social sustainability, and project monitoring frameworks. Dr. Malik is a globally recognized scholar, with over 23 years of academic and industry experience. He collaborates with organizations like the Victorian Music Development Office and the Australian Academy of Science, emphasizing real-world impact through research.

• Auction Theory
• Mechanism Design
• Political Economy
• +3 more

Ian Gale is a Professor of Economics at Georgetown University's Department of Economics. His research focuses on auction theory, mechanism design, political economy, and industrial organization. He has contributed to understanding optimal resource allocation under budget constraints, the welfare effects of market regulations, and the design of efficient economic systems. Key areas of research include analyzing auctions with financially constrained bidders, the impact of lobbying caps on political outcomes, and the antitrust implications of market dominance. Gale has explored topics such as use-or-lose provisions, research contest design, and sequential procurement strategies. His work often bridges theoretical models with practical policy applications, particularly in public procurement and regulatory frameworks. Gale's publications span leading journals like the American Economic Review, Review of Economic Studies, and Games and Economic Behavior. His research emphasizes mechanisms that ensure economic efficiency and fairness in markets with asymmetric information or strategic behavior. He is affiliated with the Georgetown Center for Economic Research (GCER) and maintains an active role in academic collaborations. No grants or lab affiliations are explicitly listed in the provided materials.

Steven O. KimbroughView profile

Professor

• Artificial Intelligence
• Computational Rationality
• Decision Support Systems
• +6 more

Steven O. Kimbrough is a Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research spans artificial intelligence, computational rationality, and strategic optimization with applications to political science, economics, and service innovation. He teaches courses like Agents, Games, and Evolution and Thinking With Models , focusing on experimental approaches to bounded rationality and uncertainty in decision-making. Primary Email: kimbrough@wharton.upenn.edu Office: 3730 Walnut Street, 565 Jon M. Huntsman Hall, Philadelphia, PA 19104 His research interests include: Artificial intelligence and metaheuristics for constrained optimization Evolutionary computation in electoral redistricting Agent-based modeling of market dynamics Logic modeling for normative reasoning Text mining applications in event analysis Publications demonstrate expertise in computational economics, political modeling, and service analytics. Recent work focuses on: Empirical validation of electoral compactness Strategic learning in oligopolies Multi-objective matching algorithms Feasible-infeasible solution spaces Service network optimization Teaching emphasizes: Game-theoretic approaches to strategic behavior Modeling life-cycle for energy sustainability Computational experiments in social science

Dominik HuberView profile

Researcher

• Dynamic Resource Management in High-Performance Computing (HPC)
• Parallel & Distributed Programming Models
• Hardware-aware Programming
• +6 more

Dominik Huber is a Ph.D. candidate and researcher at the Technical University of Munich , affiliated with the Chair of Computer Architecture & Parallel Systems . His work focuses on Dynamic Resource Management in High-Performance Computing (HPC) , with expertise in Parallel & Distributed Programming Models and Hardware-aware programming . He has actively contributed to teaching courses like Parallel Programming Systems and Advanced Computer Architecture . His research emphasizes adaptive resource allocation in hybrid HPC clusters, leveraging technologies such as MPI Sessions , PMIx , and frameworks like LAIK and XBraid . Recent projects include the DynRes software suite for dynamic resource management and collaborations on quantum-HPC integration. Huber has advised students on topics ranging from Dynamic Resource Management in Charm++ to CI Systems for HPC Software , and his publications address challenges in malleability, scheduling, and power-constrained environments. Current affiliations include participation in the SEANERGYS (EuroHPC) and PlasmaPEPS projects.

Marco NieView profile

Professor

• Transportation Engineering
• Transportation Systems Analysis
• Urban Mobility
• +7 more

Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +3 more

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Maciej MitręgaView profile

Professor

• Business-to-Business (B2B) Marketing
• Relationship Marketing
• Dynamic Capabilities
• +3 more

Maciej Mitręga is a full Professor at the University of Economics in Katowice , serving as Head of the Department of Organizational Relations Management within the Faculty of Informatics and Communication . With an ORCID 0000-0003-4043-5589 , he has published 102 academic works and maintains a Google Scholar profile. 82 total publications 3 promoted theses 20 activities h-index 11 (Scopus), 17 (WoS) Total Impact Factor 184.268 His research focuses on business relationships, power dynamics in B2B contexts, and dynamic marketing capabilities. Recent work explores collaborative consumption through ESG frameworks and pandemic-era managerial adaptations in manufacturing sectors. His scientific contributions include: Systematic reviews on customer citizenship behavior Power play analysis in export-import relationships Networking capability frameworks Dynamic capabilities in intercultural environments As department head , he leads research initiatives in organizational relationship management and contributes to academic productivity through various publications and co-authored studies with international collaborators from Slovenia, Finland, and the UK.

Piotr GmytrasiewiczView profile

Associate Professor

• Artificial Intelligence
• Multiagent Systems
• Decision Theory
• +7 more

Piotr Gmytrasiewicz is an Associate Professor at the Department of Computer Science, University of Illinois at Chicago (UIC). He leads the Multiagent Systems Group within the Artificial Intelligence Laboratory at UIC. His research focuses on rationality in artificial agents , particularly in environments with multiple interacting agents. Key areas include Interactive Decision-Making Bayesian Modeling for Agent Communication Recursive Belief Frameworks Time Pressure and Computational Trade-offs Evolution of Agent Communication Languages Dynamic Resource Allocation His recent work examines the rationality of insincere communication and methods to discount potentially insincere information. Past projects include modeling emotions in agent design and developing decision-theoretic approaches to game theory. He has secured funding from prestigious institutions such as the National Science Foundation (NSF) , Office of Naval Research (ONR) , and DARPA . Current and past projects emphasize Automated Linguistic Competence Evolution Emergent Communication Protocols Scalable Multiagent Learning Strategic Coordination under Uncertainty He earned his Ph.D. from the University of Michigan, Ann Arbor (1992) and has previously collaborated with the Department of Computer Science and Engineering (CSE) at the University of Texas at Arlington on DARPA-funded research.

• Playful Learning
• Higher Order Thinking
• Math Cognition
• +7 more

Kreshnik Begolli serves as a Research Scientist at the University of California, Irvine's School of Education, where he investigates cognitive and socioemotional mechanisms in mathematics learning through innovative playful interventions. His work bridges laboratory-based cognitive science with real-world educational settings, focusing on translating theoretical insights into practical classroom and outdoor applications. Begolli earned his Ph.D. in Education from UC Irvine in 2015 with a specialization in Learning, Cognition, and Development, followed by postdoctoral training at Temple University's Institute of Education Sciences (2015-2017). His research program examines two interconnected strands: (1) how children develop higher-order thinking skills through analogical reasoning and spatial cognition, and (2) how to improve teaching practices using ecologically valid methodologies. Key projects include Fraction Ball (transforming basketball courts into fraction-learning environments) and Parkopolis (a board game fostering STEM skills through play), which integrate physical activity with mathematical reasoning. Analysis of his 15 most recent publications reveals consistent focus on playful learning landscapes that merge cognitive science with educational practice. His work increasingly emphasizes global applicability, with recent studies examining interventions in low- and middle-income countries and non-WEIRD populations. Methodologically, he combines experimental designs with implementation research to address scalability challenges while maintaining scientific rigor in complex learning environments. Begolli's collaborative approach spans multiple institutions, working with prominent researchers including Lindsey Richland (UCI), Kathy Hirsh-Pasek (Temple University), and Nora Newcombe (Temple University). His projects often secure external funding for developing and testing interventions that transform everyday spaces into learning opportunities, though specific grant details aren't documented in the provided materials. Current work focuses on refining assessment tools for playful learning and addressing implementation barriers identified through teacher partnerships. Through the Center for Research on Teacher Development and Professional Practice, Begolli contributes to initiatives connecting research with practice, particularly through UCI's educational outreach projects like the California Reading & Literature Project and UCI Math Project. His leadership in designing outdoor learning environments demonstrates commitment to making high-quality STEM education accessible beyond traditional classroom walls.

• Large Language Models
• Generative AI
• Fuzzy Cognitive Maps
• +7 more

Professor Yuan Miao is a distinguished academic at Victoria University (VU), serving as Professor in the College of Arts, Business, Law, Education & IT and Head of the Information Technology Program. With a PhD from Tsinghua University's Automation Department, his academic journey spans prestigious institutions including the University of Melbourne and Nanyang Technological University in Singapore before settling at VU where he has been Professor since January 2010, following his Associate Professorship from August 2004 to December 2009. Education: BSc, Shandong University, China MEng, Tsinghua University, China PhD, Tsinghua University, Automation Department, China Professor Miao's research centers on Large Language Models (LLMs) and Generative AI, where he has identified critical barriers in practical applications including limited memory length in systems like ChatGPT and Gemini, contradictory explanations, lack of local knowledge integration, and significant errors in text-data hybrid reasoning (up to 38%). His innovative solutions involve cognitive map graphs and rational intelligence models to create customized AI systems. His work spans diverse application areas including human knowledge modeling, multimodal interaction, healthcare analytics (particularly dementia detection), cybersecurity, and robotics powered by rational intelligence. Analysis of Professor Miao's recent publications reveals a strong focus on integrating LLMs with specialized knowledge domains across healthcare, cybersecurity, and social media analysis. His research consistently addresses practical limitations of current AI systems while developing novel frameworks for more reliable and context-aware applications. The interdisciplinary nature of his work is evident in publications spanning medical informatics, cybersecurity analytics, and educational technology. Scientific Recognition: Two articles in fuzzy cognitive map modeling ranked among top 10 most cited works since 2000 (Google Scholar 2000-2016) Development of adversarial dataset based on SQuAD 2.0 that reduced BERT and ELECTRA accuracy from ~90% to ORCID identifier 0000-0002-6712-3465 with 138 peer-reviewed publications Professor Miao actively supervises PhD and Master's students across diverse research topics including access control systems, healthcare analytics, cybersecurity, and social behavior analysis. His research has secured substantial funding from both industry giants (Microsoft, Amazon, Oracle, Google) and government bodies (Australia Research Council, Data61, Singapore's NRF), with recent projects including Digital Transformation for Construction Industry ($1.258 million), Western Health SharePoint Development ($68,000), and Big Data Analysis for Domestic Violence Research (US$100,000). His current grant portfolio demonstrates strong industry-academia collaboration addressing real-world challenges. Professor Miao leads research teams focused on rational intelligence systems that overcome current LLM limitations, with particular emphasis on creating practical AI solutions for healthcare, cybersecurity, and smart city applications. His work with Maribyrnong City Council on the Smart City at Footscray Park project ($850,000) exemplifies his commitment to applying advanced AI research to community-level challenges.

• Animal Science
• Veterinary Science
• Ruminant Nutrition
• +3 more

Luiz Gustavo Ribeiro Pereira serves as an Associate Professor in the Department of Veterinary and Animal Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences, affiliated with the Animal Welfare and Disease Control research group. His institutional contact includes phone +4535331254 and email luiz.pereira@sund.ku.dk, located at Grønnegårdsvej 3, 1870 Frederiksberg C. His research specializes in animal nutrition with emphasis on ruminant systems, investigating rumen microbiome dynamics, methane emission mitigation strategies in tropical dairy operations, and feed efficiency optimization across cattle breeds. This work integrates environmental sustainability with animal welfare concerns, particularly in resource-constrained production environments. Key focus areas include nutritional interventions for methane reduction and breed-specific dietary adaptations. Recent 2024 publications reveal concentrated activity on methane-yield associations in dairy cattle microbiomes and comparative analyses of ration particle size effects between Holstein and Girolando breeds. His longitudinal research trajectory, including 2011 work on Santa Inês sheep dry matter intake prediction, demonstrates consistent contributions to precision feeding methodologies across ruminant species. These studies collectively advance sustainable livestock management through evidence-based nutritional science.