جست‌وجوی استاد و پژوهشگر

Rachit Dubeyمشاهده پروفایل

استادیار

• Climate Change
• Computational Modeling
• Machine Learning
• +۳ مورد دیگر

Rachit Dubey is an Assistant Professor in the Department of Communication at UCLA, affiliated with the College of Letters & Science. He holds a PhD in Computer Science from Princeton University, an M.S. in Education from UC Berkeley, and a BEng in Computer Science from Nanyang Technological University. His research bridges computational modeling, behavioral experiments, and policy design to address climate change challenges, focusing on human motivation and policy impact. Key research areas include using AI-generated visualizations to enhance climate communication, understanding cognitive underpinnings of climate inaction, and designing interventions to reduce polarization. His work has been featured in Nature Human Behavior , Nature Sustainability , and PNAS . Notable contributions include demonstrating that binary climate data visuals significantly amplify perceived urgency compared to gradual trends, and developing computational models of grief using reinforcement learning. He received the 2024 SfNC Dissertation Award for his doctoral work. Dr. Dubey collaborates closely with policymakers to bridge research and practice, and is recruiting PhD students in cognitive science, climate policy, and machine learning. His lab, the Computational Cognitive Policy Lab, emphasizes quantitative rigor and interdisciplinary collaboration.

Kevin Leyton-Brownمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Game Theory
• +۵ مورد دیگر

Kevin Leyton-Brown is a Professor of Computer Science at the University of British Columbia (UBC), holding a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute (Amii). He is also an Associate Member of the Vancouver School of Economics and a Fellow of the Royal Society of Canada, ACM, and AAAI. His research focuses on AI, machine learning, computational economics, and game theory, with notable contributions to algorithmic market design, heuristic algorithms, and large language models. He co-authored influential textbooks on multiagent systems and game theory, and his work has been recognized with prestigious awards including the INFORMS Franz Edelman Award and the Killam Teaching Prize. Education: PhD (Computer Science), Stanford University; MSc (Computer Science), Stanford University; BSc (Computer Science), McMaster University. Research Interests: Artificial Intelligence, Machine Learning, Game Theory, Computational Economics, Algorithmic Game Theory, Market Design, and Large Language Models. He has developed impactful tools like SATzilla, AutoWEKA, and Mechanical TA, and contributed to high-stakes projects such as spectrum auction design and Ugandan agricultural market platforms. Awards & Recognition: Royal Society of Canada Fellow (2023), ACM SIG-KDD Research Track Test of Time Award (2023), INFORMS Franz Edelman Award (2018), ACM Fellow (2020), AAAI Fellow (2018), Killam Teaching Prize (UBC), and numerous paper awards from top conferences like AAAI, ICML, and ACM-EC. Leadership & Affiliations: Director of UBC’s CAIDA and AIM-SI research clusters, former Chair of ACM SIG-Ecom, and advisor to companies like AI21 Labs and Auctionomics. He has held visiting roles at institutions including MIT, Harvard, and the Simons Institute.

Carlos Alós-Ferrerمشاهده پروفایل

استاد

• Microeconomics
• Behavioral Economics
• Decision Neuroscience
• +۴ مورد دیگر

Carlos Alós-Ferrer is a Chair Professor of Economics at Lancaster University Management School and Co-Editor in Chief of the Journal of Economic Psychology. He has held full professor positions at the Universities of Zurich, Cologne, and Konstanz, and associate professor roles at the Universities of Vienna and Salamanca. He has also been a frequent Visiting Professor at New York University-Abu Dhabi. Originally from Spain, he speaks German fluently and currently splits his time between Switzerland and the U.K. Dr. Alós-Ferrer is an interdisciplinary researcher working at the intersection of (micro)economics, psychology, and decision neuroscience. His research focuses on understanding and improving human economic decisions, ranging from decisions under risk to strategic decisions (game theory) and voting. He employs multiple methodological approaches including decision neuroscience ("neuroeconomics"), behavioral experiments, and mathematical modeling. His work has significant implications for understanding cognitive processes in economic decision-making, belief updating, and social preferences. His recent publications demonstrate a consistent focus on the cognitive foundations of economic behavior, with particular attention to response times, belief updating, preference formation, and social decision-making. The research spans theoretical contributions to decision theory and experimental investigations of real-world economic behaviors. His 2022 Nature Human Behavior paper "Generous with individuals and selfish to the masses" received extensive media coverage worldwide, highlighting the broad impact of his work beyond academic circles. Dr. Alós-Ferrer maintains an active scholarly presence through his "Decisions and the Brain" blog at Psychology Today and a personal blog at WordPress. He has published extensively across top journals including Management Science, Nature Human Behavior, Journal of Political Economy, Journal of Personality and Social Psychology, and Journal of Economic Literature. His 2016 book "The Theory of Extensive Form Games" (co-authored with Klaus Ritzberger) is part of the official Springer Series of the Game Theory Society.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

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.

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +۴ مورد دیگر

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

• AI Safety
• Multi-Agent Systems
• Formal Verification
• +۵ مورد دیگر

Dr. Muhammad Najib is an Assistant Professor (Lecturer in the UK system) at Heriot-Watt University's School of Mathematical and Computer Sciences in Edinburgh. He is also an Associate Member of the University of Oxford's Department of Computer Science. His research focuses on ensuring AI safety through formal verification methods, particularly in multi-agent systems. Najib holds a DPhil/PhD from the University of Oxford, supervised by Julian Gutierrez and Mike Wooldridge, and has industry experience at Samsung Electronics. Education: BSc from Sepuluh Nopember Institute of Technology, MSc from the University of Liverpool, DPhil/PhD from the University of Oxford. He previously worked as a postdoctoral researcher at TU Kaiserslautern under Anthony Lin. Research Interests: Logic and game theory in AI foundations, equilibrium verification in multi-agent systems, temporal logics, and formal verification techniques. He developed the EVE tool for rational verification. Najib actively supervises PhD students and collaborates on projects like the UKRI AI CDT-D2AIR. Key Contributions: Published 17+ research outputs since 2018. Areas include equilibrium design, probabilistic multi-agent systems, and computational complexity analysis. His work bridges formal methods with AI safety, emphasizing automated synthesis and model checking.

• Energy efficiency analysis of industrial chemical processes
• Rational use of biomass in industrial energy systems
• Process integration and techno-economic analysis of biorefinery concepts
• +۲ مورد دیگر

Simon Harvey is a Professor in Energy Engineering at Chalmers University of Technology, Sweden. With a background in Mechanical Engineering and over two decades of academic leadership, he focuses on industrial energy systems optimization and sustainable process integration. PhD from Thayer School of Engineering, Dartmouth College (1994) Assistant Professor at Chalmers (1997-2011) Full Professor since 2011 His research spans : Energy efficiency in chemical processes Biomass-based industrial energy systems Biorefinery techno-economics Climate impact assessment methodologies Energy market scenario modeling Recent publications demonstrate expertise in carbon capture integration, heat recovery optimization, and biomass utilization for negative emission technologies. Collaborative work emphasizes cross-sectoral energy synergies and uncertainty analysis in industrial retrofits. Key trends include: Decarbonization of pulp/refinery operations Hybrid electric/steam generation systems Excess heat valorization in district heating Process flexibility under uncertain parameters

Assela Pathiranaمشاهده پروفایل

استاد

• Water Infrastructure Asset Management
• Climate Resilience of Small Island Developing States (SIDS)
• Hydrological Modeling
• +۵ مورد دیگر

Dr. Assela Pathirana is a Professor at the IHE Delft Institute for Water Education, specializing in water infrastructure asset management (WIAM), climate resilience of Small Island Developing States (SIDS), and sustainable urban water systems. His work bridges academia, policy, and practice, focusing on digitalization, data-driven decision-making, and nature-based solutions. Key roles include Chief Technical Advisor for the Maldives’ water systems and leadership of a MOOC on SIDS climate adaptation. He holds a BSc (First Class Honours) from the University of Peradeniya and advanced degrees from the University of Tokyo, specializing in hydrology and water resources engineering. Education: Bachelor of Science in Civil Engineering (First Class Honours), University of Peradeniya, Sri Lanka Master’s and Doctoral Degrees in Civil Engineering (Hydrology and Water Resources), University of Tokyo, Japan Research Interests: Dr. Pathirana’s work emphasizes climate resilience, SIDS adaptation, urban flood risk management, and sustainable infrastructure. He develops decision-support tools for flood forecasting, evaluates land-use changes in Jakarta, and promotes equity in water rationing systems. His interdisciplinary approach integrates hydrological modeling, open-source software development, and policy analysis. Advising & Capacity Building: He leads training-of-trainers programs and capacity-building initiatives, enhancing postgraduate education in technical disciplines. His efforts focus on didactics and pedagogy, ensuring graduates gain both theoretical knowledge and practical expertise. Key Projects: Developed the WIAM curriculum at IHE Delft MOOC on SIDS climate adaptation and water security Consultancy for the Maldives’ Ministry of Environment and UNDP Labs & Collaborations: Engages in cross-disciplinary teams addressing urban water challenges, including sponge cities in China and flexible adaptation planning in Melbourne and Pune. His work with UNESCO-ICHARM and UNU underscores global water security and disaster risk reduction.

Tamar Kuglerمشاهده پروفایل

دانشیار

• Interactive decision-making
• Group decision-making
• Emotions and decision-making
• +۴ مورد دیگر

Tamar Kugler is an Associate Professor of Management and Organizations at the Eller College of Management, University of Arizona, with a specialization in behavioral decision-making. She holds a PhD in Experimental and Social Psychology (2004) from Hebrew University of Jerusalem. PhD in Management Organizational Behavior Laboratory Economic Science Laboratory Center for Trust Studies Behavioral Decision Making Think Tank Econ Affiliated Faculty Her research focuses on interactive decision-making , group decision dynamics , emotional influences on decisions , and trust mechanisms . She has pioneered work on disgust's paradoxical effects on prosocial behavior and developed innovative methods for measuring emotions in digital environments. Her publications span high-impact journals like Social Psychological and Personality Science and Games and Economic Behavior , covering topics from the Braess paradox in traffic networks to asymmetric participation games. Recent work explores guilt's role in ethical behavior and default options in conflict resolution. National Science Foundation grant for emotion research Binational Science Foundation grant with Eyal Ert Eller College Small Grant Program awards Journal editorial board memberships Kugler's methodological expertise includes behavioral experiments, game theory applications, and virtual reality simulations for studying social interactions.

• Decision Making
• Information Sampling
• Machine Learning Applications
• +۴ مورد دیگر

Gaël Georges Marcel Le Mens is a Full Professor at Pompeu Fabra University (UPF), holding a position in the Department of Economics and Business. He is also affiliated with the Barcelona School of Economics and serves as academic co-director of the Executive Master in Business Administration (EMBA) at the UPF Barcelona School of Management. His academic journey includes teaching roles at INSEAD, London Business School, ESADE, and the University of Lugano, alongside positions at the universities of Southern Denmark and New York. Education: Doctor in Business Administration, Stanford Graduate School of Business MSc in Management Science and Engineering, Stanford University Diploma in Engineering, Supélec Bachelor of Economics, University of Paris XI His research focuses on decision-making processes, information sampling, machine learning applications in semantics, and organizational behavior. Key themes include cognitive heuristics, social media impact on political expression, and the interplay between popularity and evaluation dynamics. He has explored how feedback mechanisms shape political communication and developed methodologies to compare human and machine conceptual judgments using models like BERT. His publications span journals such as PNAS , Psychological Review , and Industrial and Corporate Change , reflecting his interdisciplinary approach. Though no explicit awards are noted, his prolific output highlights sustained academic impact. He has advised multiple institutions on curriculum design and executive education, leveraging his cross-university teaching experience. Le Mens is affiliated with the Barcelona School of Management’s research teams and contributes to initiatives bridging artificial intelligence and social sciences. His work often addresses practical challenges in organizational decision-making and digital communication strategies.

• Transportation Systems Analysis
• Traffic Engineering
• Sustainable Transportation
• +۳ مورد دیگر

Yu Nie is a Professor in the Department of Civil and Environmental Engineering at Northwestern University, affiliated with the NU-TREND research group within the McCormick School of Engineering. His work focuses on optimizing transportation networks, integrating human behavior, infrastructure design, and network topology to enhance mobility, reliability, and sustainability. He holds a Ph.D. from the University of California, Davis, an M.S. from the National University of Singapore, and a B.S. (cum laude) from Tsinghua University. His research interests span interdisciplinary approaches combining optimization, network science, traffic flow theory, economics, and statistics. Key areas include congestion pricing strategies, ride-hailing market dynamics, autonomous vehicle integration, and transit system design. He has contributed to studies on dockless bike-sharing systems, ethics-aware transit design, and traffic management in autonomous vehicle zones. Nie’s recent publications (2024–2025) highlight advancements in modular autonomous vehicle systems, co-modal freight solutions, and policy frameworks for sustainable urban mobility. His work often bridges theoretical insights with practical applications, addressing challenges like EV charging chaos and ride-pooling impacts. He received the 2021 Transportation Science Meritorious Service Award for his editorial contributions. His research also explores freight exchange platforms, taxi market resilience during pandemics, and the role of route choice models in transit design. Labs/Teams: Yu Nie is associated with the NU-TREND research group, specializing in innovative transportation solutions through interdisciplinary collaboration.

• Environmental Economics
• Environmental Policy
• Urban Economics
• +۳ مورد دیگر

Spencer Banzhaf is a Professor in the Department of Agricultural and Resource Economics at North Carolina State University (NC State), and Director of the Center for Environmental and Resource Economics Policy (CEnREP). He holds a PhD in Economics from Duke University. His research focuses on environmental policy, particularly land use, urban equity, and the interplay between environmental quality, real estate markets, and urban demographics. Key areas include environmental justice, fiscal federalism, and the historical evolution of environmental economic thought. He has contributed to journals such as the American Economic Review and Journal of Political Economy , and serves as editor of the Review of Environmental Economics and Policy . Recent work explores topics like racial segregation’s environmental impacts, the economic history of pollution pricing, and the valuation of ecosystem services. His scholarship bridges theoretical frameworks with applied policy analysis, emphasizing equity and interdisciplinary approaches. He is associated with NC State’s Economics Graduate Program and actively engages in policy debates through contributions to regulatory analyses and public discourse on environmental governance.

Ulrich W. Thonemannمشاهده پروفایل

استاد

• Supply Chain Management
• Optimization
• Information Systems
• +۵ مورد دیگر

Prof. Ulrich W. Thonemann is a Full Professor and Director of the Department of Supply Chain Management & Management Science at the University of Cologne's Faculty of Management, Economics and Social Science. Since 2019, he has served as Dean of the Faculty and President of the University of Cologne Executive School since 2018. His research spans Supply Chain Management Optimization Behavioral Operations Information Systems . His recent work focuses on Incentive systems for forecast sharing Behavioral inventory metrics Contract design for newsvendor problems Demand information sharing Capacity rationing . He has served on the scientific advisory board of Bundesvereinigung Logistik and as Associate Editor for Production and Operations Management . Scientific Awards: Terman Fellow (1999-2000) Anderson Faculty Scholar (1998-2000) Outstanding Academic Achievements at Stanford (1992) Contact: ulrich.thonemann@uni-koeln.de | Research Group Website

Roman Sheremetaمشاهده پروفایل

دانشیار

• Experimental Economics
• Behavioral Economics
• Game Theory
• +۴ مورد دیگر

Roman Sheremeta is an Associate Professor in the Department of Economics at Case Western Reserve University's Weatherhead School of Management . He also serves as a Research Affiliate at the Economic Science Institute and an Associate Fellow at Purdue University Teaching Academy. Sheremeta earned his Ph.D. in economics from Purdue University and has been affiliated with Case Western since 2013. Education Ph.D. in Economics from Purdue University (2009) MS in Economics from Purdue University (2006) Bachelor of Arts from Precarpathian National University (2004) Bachelor of Arts from National Technical University (2013) His research focuses on experimental economics and game theory , with applications in behavioral economics, conflict resolution, industrial organization, labor economics, and public economics. Sheremeta has published over 70 articles across economics, business, political science, and psychology journals, including Journal of Economic Behavior and Organization , Experimental Economics , and Economic Inquiry . Notable awards include the 2018 Smith Ascending Scholar Prize ("budding genius" in social science), Best 40 Under 40 Professors 2019 by Poets & Quants, and recognition as Top Economic Thinker of Ukrainian Descent by Forbes. His work has been featured in Wall Street Journal , Forbes , NPR , and Science Daily . Sheremeta teaches courses on negotiation, managerial economics, behavioral economics, game theory, and microeconomics . He received the Weatherhead Emerging Impact Award twice (2015, 2019) and maintains an average teaching evaluation of 4.9/5.0 . Additionally, he founded American University Kyiv during wartime and actively advocates for Ukraine through social media and humanitarian efforts.

Adrian Whittyمشاهده پروفایل

دانشیار

• Biochemistry
• Structural Biology
• Drug Discovery
• +۳ مورد دیگر

Adrian Whitty is an Associate Professor in the Department of Biology at Boston University . His research focuses on protein-protein and protein-ligand recognition, particularly in developing mechanistic understandings of growth factor receptor activation and advancing drug discovery for protein-protein interaction inhibition. Education: B.Sc. (Honors) in Chemistry from King’s College, University of London (1985); Ph.D. in Organic Chemistry from the University of Illinois at Chicago (1991); Postdoctoral Research Fellow at Brandeis University's Biochemistry Department (1990-93). His work integrates biochemical and cell-based assays using advanced technologies like FRET, Time-Resolved Fluorescence, and Surface Plasmon Resonance (Biacore 3000). He collaborates with computational chemists, organic synthesis experts, X-ray crystallographers, and biologists to develop novel approaches for designing small molecule inhibitors of protein-protein interactions. Recent publications highlight trends in machine learning applications for molecular scientists, structural analysis of enzyme mechanisms, macrocycle-based drug design, and quantitative studies of protein interaction energetics. His lab emphasizes rigorous hypothesis-driven experimental design, preparing students for careers in academia or industry. Advisory and leadership roles include membership in The Protein Society (2008-present), the American Society of Biochemistry and Molecular Biology (ASBMB) Governing Council (2007-present), and founding roles in the Council for Systems Biology in Boston (CSB2) and the Institute for Chemical Biology and Drug Discovery at SUNY Stony Brook. His laboratory is equipped with state-of-the-art facilities for fluorescence, analytical ultracentrifugation (AUC), dynamic light scattering (DLS), isothermal titration calorimetry (ITC), and tissue culture, supporting diverse techniques including flow cytometry and reaction pathway modeling with Mathematica and MATLAB.