جستجوی استاد راهنمای دانشگاهی

David Danksمشاهده پروفایل

استاد

• AI Ethics
• Causal Inference
• Healthcare Technology
• +۴ مورد دیگر

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

• Financial Economics
• High-Frequency Trading
• Blockchain Technology
• +۳ مورد دیگر

Konstantin Sokolov is a Professor at the University of Memphis, affiliated with the Fogelman College of Business and Economics. His research bridges finance, technology, and market design, focusing on liquidity dynamics, high-frequency trading, and blockchain systems. University of Memphis - Fogelman College of Business and Economics Collaborations with institutions across the U.S. and globally His work explores market microstructure , cryptocurrency , and cybersecurity , with recent studies on ransomware impacts, gamification in finance, and blockchain governance. Articles show a trend toward integrating machine learning and network theory into financial systems. Key themes include: Liquidity and volatility in algorithmic trading environments Blockchain congestion and cybersecurity externalities Regulatory implications of fast trading technologies Behavioral responses to gamified financial platforms

Marilyn A. Brownمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Climate Change Mitigation
• Energy Policy Analysis
• +۷ مورد دیگر

Marilyn A. Brown is a Regents' and Brook Byers Professor of Sustainable Systems at Georgia Tech's School of Public Policy (part of the Ivan Allen College of Liberal Arts). She leads the Climate and Energy Policy Laboratory (CEPL) and contributes to initiatives like the Jimmy and Rosalynn Carter School of Public Policy. Her work focuses on accelerating sustainable energy technologies through policy analysis, with emphasis on utility regulation, energy efficiency, and climate resilience. Education: Ph.D., Ohio State University - Geography M.R.P., University of Massachusetts - Regional Planning B.A., Rutgers University - Political Science Research & Expertise: Brown’s research bridges energy policy, environmental economics, and utility systems. She explores policy mechanisms for decarbonization, equitable energy access, and grid modernization. Notable contributions include books like Fact and Fiction in Global Energy Policy (2016) and Green Savings (2015), and over 250 publications. Key areas include renewable energy integration, smart grids, and energy equity. Awards & Recognition: 2020: Member of the National Academy of Engineering and Sciences 2017: Regents’ Professor 2016: Alliance to Save Energy 'Star of Energy Efficiency' 2010-2017: Presidential Appointee, Tennessee Valley Authority Board Advising & Grants: Brown has advised federal agencies, testified before Congress, and led projects for organizations like the National Academies and DOE. Her grants support initiatives such as the Drawdown Georgia partnership and equity-focused energy programs. She co-founded the Southeast Energy Efficiency Alliance and served on boards of the American Council for an Energy-Efficient Economy and the Alliance to Save Energy. Labs & Teams: Directs CEPL, which models energy transitions, evaluates policy impacts, and develops tools like the GT-DSM and GT-Solar calculators. CEPL’s work spans energy modeling, equity analysis, and global decarbonization strategies.

Anna Gautierمشاهده پروفایل

استادیار

• Multi-Agent Systems
• Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Anna Gautier is an Assistant Professor in the Department of Computer Science at Chalmers University of Technology, affiliated with the Division of Data Science and AI. Previously, she was a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology (2023–2025), focusing on mechanism design for multi-robot systems. Her research emphasizes planning under uncertainty, multi-agent systems, and human-robot interaction. She holds a PhD from the University of Oxford (2023), an MSc from the London School of Economics, and dual undergraduate degrees from Washington University in St. Louis. Education Background: PhD in Computer Science, University of Oxford (2023) MSc in Applied Mathematics, London School of Economics BA in Mathematics and BS in Computer Science, Washington University in St. Louis Research Interests: Dr. Gautier explores planning algorithms for multi-agent systems, particularly in uncertain environments. She designs mechanisms to coordinate robots and humans, leveraging game theory and formal methods. Her work addresses challenges like resource allocation, risk-aware decision-making, and trust in autonomous systems. Recent projects include contingency planning for autonomous vehicles and auction-based resource distribution. Professional Activities: She co-chairs the ECAI 2025 Demonstration Track and teaches the course Safe Robot Planning and Control at KTH. Her projects include collaborations with WASP-Nest (PerCorSo) and TECoSA on trustworthy autonomy. She actively publishes in top venues like AAMAS and AAAI. Labs and Teams: Affiliated with Chalmers' Data Science and AI division, she leads research in multi-agent systems and human-AI collaboration.

Steven Weldonمشاهده پروفایل

استاد

• Politics of Diversity
• Multiculturalism
• Immigration Politics
• +۳ مورد دیگر

Steven Weldon is Professor in the Department of Political Science at Simon Fraser University, where he founded the Centre for Public Opinion and Political Representation. His research examines diversity politics, immigration, and anti-immigrant radical right movements in Canada, the US, and Europe. Research explores how rising anti-immigrant politics threatens democracies through analyses of electoral behavior, party competition, and media coverage. Publications investigate trust dynamics in European integration, protest participation, and social data analytics applications. He directs the Social Data Analytics minor program and teaches quantitative methods and political behavior courses, receiving the Cormack Teaching Award in 2018. Graduate supervision focuses on elections, representation, and diversity politics.

• Particle Physics
• High-Energy Physics
• Nuclear Physics
• +۳ مورد دیگر

Aneta Iordanova is a Lecturer at the University of Illinois at Chicago (UIC), affiliated with the College of Engineering . She can be contacted at aiorda1@uic.edu , located in SES 2344 . Her research lies at the intersection of Particle Physics , Nuclear Physics , and Quantum Chromodynamics (QCD) , focusing on Heavy-Ion Collisions , Quark-Gluon Plasma , and Experimental Physics . Key trends in her work include measurements of Elliptic Flow , Jet Substructure , Meson Production , and Direct Photon Anisotropy across varying collision energies and rapidities. Dr. Iordanova's publications highlight her expertise in High-Energy Physics , with a focus on Collision Dynamics , Hadron Correlations , and Parton Energy Loss . Her work spans both Relativistic Heavy-Ion and Proton-Proton Collisions , utilizing data from experiments like PHENIX at RHIC.

• 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.

Catherine Boltenمشاهده پروفایل

استاد

• Development anthropology
• Youth studies
• Structural violence
• +۵ مورد دیگر

Catherine Bolten is a Professor of Anthropology and Peace Studies at the University of Notre Dame's Keough School of Global Affairs, holding concurrent appointments in Africana Studies and Poverty Studies. Her primary affiliation is the Kroc Institute for International Peace Studies, where she also served as Director of Doctoral Studies (2018–2023). She is affiliated with multiple interdisciplinary initiatives including the Eck Institute for Global Health and the Initiative on Race and Resilience. Bolten holds a PhD in Anthropology from the University of Michigan (2008), an MPhil from the University of Cambridge (2000), and a BA from Williams College (1998). Her research focuses on Sierra Leone, examining themes such as youth agency, structural violence, food security, and climate change through long-term ethnographic engagement. She has conducted fieldwork on primate-human coexistence, Ebola crisis response, and post-conflict development since 2003. Her research interests bridge anthropology, peacebuilding, and environmental studies. Recent work explores climate change impacts in rural Sierra Leone, youth participation in peace processes, and the intersections of ecology and violence. She has authored three books and over 40 peer-reviewed articles, with ongoing projects funded by the NEH and ND Institute for Advanced Studies. Bolten has advised over 30 doctoral and master’s students in anthropology, peace studies, and global health. Her awards include the Undergraduate Mentoring Award (2013, 2022) and the UC Press Public Anthropology Prize. She serves on editorial boards for African Conflict and Peacebuilding Review and Studies in Comparative International Development , and has held leadership roles in professional organizations like the American Anthropological Association.

Do Own (Donna) Kimمشاهده پروفایل

استادیار

• Digital Cultures
• Mediated Social Interactions
• Human-Machine Communication
• +۴ مورد دیگر

Do Own (Donna) Kim is an Assistant Professor at the University of Illinois Chicago's Department of Communication. Her research bridges technology studies, cultural studies, and computer-mediated communication, focusing on boundary-crossing practices in human-technology interactions. She examines questions of authenticity, hybrid spaces, and mediated identities through case studies like virtual influencers and K-pop digital cultures. Donna holds a Ph.D. in Communication from USC Annenberg (2022), with earlier degrees from Korea University (BA, 2015) and USC (MA, 2020). Her book project Virtually Real explores virtual influencers' cultural integration through cross-cultural fieldwork. She teaches courses on emerging technologies and communication theory, emphasizing qualitative research methods. Donna serves on Pop Junctions' editorial board and has written for platforms like In Media Res and Civic Imagination Project . Key awards include the KFAS Fellowship and a 2021 Browne Award for her chapter on Korean feminist activism. Her work appears in New Media & Society , International Journal of Communication , and CHI PLAY . Recent presentations include talks on AI ethics at UIC and virtual influencers at Curtin University's symposium.

Raj Patelمشاهده پروفایل

پژوهشگر ارشد

• Political Economy
• Collective Action Problems
• Political Philosophy
• +۳ مورد دیگر

Raj Patel is a Research Fellow in Philosophy, Politics, and Economics (PPE) at the University of Pennsylvania (2020–present) and Acting Associate Director of the PPE Department (Fall 2021). He is a core member of the Penn Center for Social Norms and Behavioral Dynamics and a Project Consultant at Chatham House’s Africa Programme since 2015. His research focuses on the intersection of political philosophy, collective action problems, and corruption in developing economies, particularly in Nigeria and India. Education: PhD in Philosophy (University of Pennsylvania, 2020), MPhil in History and Philosophy of Science (University of Cambridge, 2014), MA in Public Policy (George Washington University, 2013). Research interests emphasize informal institutions, social norms, and anti-corruption strategies. Notable projects include the Chatham House-funded 'Social Norms and Accountable Governance (SNAG)' initiative analyzing corruption in Nigeria’s education sector and religion’s role in collective action. He co-authored influential reports like Collective Action on Corruption in Nigeria (2017). Key awards include the Wiebke Kuklys Prize (2015), Benjamin Franklin Fellowship (2014–2019), and Adam Smith Fellowship (2016–2017). He has presented globally, including at the US Department of State, UNICEF, and the Bill & Melinda Gates Foundation. As a consultant, he has interviewed public figures like Amitabh Bachchan and Naina Kidwai and collaborated with organizations like Corpovisionarios in Bogotá. His work bridges academic research with real-world policy, emphasizing behavioral dynamics and institutional reform.

Kevin J. Foxمشاهده پروفایل

استاد

• Econometrics
• Economic Measurement
• Productivity Analysis
• +۱ مورد دیگر

Professor Kevin J. Fox is a distinguished academic at the UNSW Business School , serving as Director of the Centre for Applied Economic Research (CAER) . He holds leadership roles in global statistical initiatives, including the UK Economic Statistics Centre of Excellence and the International Association for Research in Income & Wealth (President 2020-2022). His career spans advisory positions with the Australian Treasury , Australian Bureau of Statistics , and United Nations Statistical Commission . B.Econ (Hons), University of Canterbury M.A., University of British Columbia Ph.D., Department of Economics, University of British Columbia As a leading expert in economic measurement , Fox focuses on productivity analysis , econometrics , and environmental economics . His research addresses digital economy challenges , CPI construction , and infrastructure productivity . He pioneered scanner data applications in inflation measurement, implemented by the Australian Bureau of Statistics from 2017. Recent publications analyze productivity paradoxes , digital goods valuation , and lockdown economic impacts . His 15 most recent articles demonstrate expertise in high-frequency data , TFP measurement , and price index theory , with sub-fields spanning quasi-experimental design and global economic statistics harmonization . Fellow, Academy of the Social Sciences in Australia Elected Fellow, Society for Economic Measurement Elected Fellow, U.S. Conference on Research in Income and Wealth Collaborative Indigo Prize 2017 win for GDP measurement innovation Awarded Australian Research Council grants totaling over $3 million , including: 2015-2019: $551,400 Discovery Grant for productivity frameworks 2014-2017: $1,075,000 Linkage Grant for property market measurement 2008-2013: $947,322 Linkage Grant for R&D productivity He contributes to public policy through: Advisory roles at Australian Treasury and ABS Leadership in International Working Group on Price Indices UN/IMF/OECD working groups on digital national accounts

Rehema Msulwaمشاهده پروفایل

دانشیار

• Organisational Theory
• Institutional Theory
• Collective Action
• +۳ مورد دیگر

Rehema Msulwa is an Associate Professor in Major Programme Management at the Saïd Business School, University of Oxford, and holds a Hugh Price Fellowship at Jesus College. Her research focuses on organizing for collective action in major infrastructure projects across transport, energy, water, and wastewater sectors. She explores decision-making, governance, and behavior in inter-organizational settings under bounded rationality and divergent stakeholder objectives. Previously, she held postdoctoral roles at the University of Cambridge, Bath, and Manchester, and worked as an infrastructure consultant at Agilia Infrastructure Partners. Her expertise spans organizational theory, institutional theory, and infrastructure change. She has engaged with infrastructure authorities in the UK, India, Nigeria, and the African Development Bank in Côte d’Ivoire. Msulwa’s educational background includes a PhD in Business and Management from the University of Manchester, an MSc in Management and Implementation of Development Projects (Manchester), and degrees in applied economics and finance from the University of Cape Town (MCom and BCom).

• Metal Forming
• Aluminum Alloys
• Product Development
• +۳ مورد دیگر

Torgeir Welo is a Professor at the Department of Mechanical and Industrial Engineering , Norwegian University of Science and Technology (NTNU) . He specializes in metal forming , particularly aluminum alloy structures , with a focus on plastic bending behavior , dimensional stability , and 3D forming technologies . His research also encompasses Lean Product Development , emphasizing knowledge reuse and maximizing customer value in automotive and aerospace applications. Key Research Areas : Metal Forming, Aluminum Processing, Springback Control, Lean Development, Additive Manufacturing, Material Substitution Teaching : Courses on Aluminum Technology , Metal Forming Analysis , and Machine Element Design Publications (15 most recent): Focus on springback monitoring , charge weld evolution , flexible forming , machine learning applications , and circular economy frameworks in metal manufacturing.

Gurol Suelمشاهده پروفایل

استاد

• Microbial Biofilms
• Electrical Signaling in Bacteria
• Systems Biology
• +۳ مورد دیگر

Gurol Suel is a Professor in the Department of Molecular Biology at the University of California San Diego (UCSD), affiliated with the Division of Biological Sciences. His research focuses on understanding electrical signaling in bacterial biofilms and the emergent collective behaviors they exhibit. His lab integrates quantitative biology, mathematical modeling, and synthetic biology approaches to explore principles of microbial organization and coordination. Dr. Suel earned his PhD in Molecular Biophysics from UT Southwestern Medical Center under Dr. Rama Ranganathan, followed by postdoctoral training in Dr. Michael Elowitz's lab at Caltech, combining biology and applied physics. His work has revealed groundbreaking discoveries about ion channel-mediated electrical signaling in biofilms, including their role in nutrient time-sharing between distant communities and the segmentation clock driving cellular differentiation. Key research areas include: biofilm signaling networks, bacterial collective computation, membrane potential dynamics, and engineering controllable microbial systems. His lab develops novel tools for studying bioelectronic interactions, such as potassium ion-based bioelectronic delivery systems. Spatial and temporal patterning in biofilms, including fractal interface formation and memory encoding through membrane potentials, are central themes in his work. Though no specific student names are listed, his lab actively conducts PhD rotations and trains researchers in experimental and theoretical microbiology. His work is supported by grants enabling exploration of biofilm communication and synthetic microbial systems. Contact information includes the UCSD Pacific Hall address and the email 'gsuel@ucsd.edu'. The lab's physical location includes specialized equipment for biofilm electrophysiology and quantitative imaging, as shown in lab photo collections.

Myrto Limniosمشاهده پروفایل

پژوهشگر ارشد

• Nonparametric Statistics
• Statistical Learning
• Stochastic Processes
• +۳ مورد دیگر

Myrto Limnios is a Bernoulli Instructor at the Institute of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments as Lecturer in the School of Basic Sciences - Mathematics Section and Scientist in the Mathematics Department - Geometry section. Her office is located at CM 1 618 (Centre Midi), Station 10, 1015 Lausanne, Switzerland. Dr. Limnios's academic journey began with her PhD at Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay, under the supervision of Prof. Nicolas Vayatis and Ioannis Bargiotas. Her doctoral thesis, Rank Processes and Statistical Applications in High Dimension , established her expertise in statistical methodology. Following her PhD, she completed a postdoctoral fellowship at the Copenhagen Causality Lab of the University of Copenhagen. Her research program focuses on nonparametric statistics, statistical learning theory, and stochastic processes with biomedical applications. She specializes in causal learning methods for event processes using conditional local independence testing (collaborating with Niels Richard Hansen) and concentration results for k-sample Rank and U-processes (with Prof. Stephan Clémençon of Télécom Paris). Her work bridges theoretical advances with practical implementations in epidemiology, neuroscience, and medical diagnostics. Analysis of her recent publications reveals a strong trend toward developing ranking-based statistical methods with applications to anomaly detection, two-sample testing, and causal inference. Her work demonstrates increasing sophistication in handling high-dimensional event processes while maintaining theoretical rigor in statistical guarantees. Among her notable achievements is the Bernoulli Instructorship at EPFL and organizing the Women in Mathematics conference at EPFL in May 2025, which hosted over 60 participants from Switzerland, France, and Spain. She was also honored with a research visit to the Simons Institute for the Theory of Computing at UC Berkeley in November 2024, hosted by Prof. Peter Bartlett. Dr. Limnios teaches advanced statistical methods at EPFL, including Regression Methods (covering linear regression, analysis of variance, diagnostics, and variable selection) and Empirical Processes (focusing on controlling nonasymptotic behavior of estimator collections). Her GitHub activity shows active development of statistical software for independence testing and anomaly ranking. She maintains active collaborations with the Copenhagen Causality Lab, Télécom Paris, and biomedical research groups, particularly through her work on postural control analysis for Parkinsonian syndromes and epidemiological modeling of infectious diseases.