جست‌وجوی استاد و پژوهشگر

Mahnoosh Alizadehمشاهده پروفایل

دانشیار

• Control Systems
• Cyber-physical Systems
• Smart Grids
• +۹ مورد دیگر

Mahnoosh Alizadeh is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), affiliated with the Institute for Energy Efficiency and the Center for Control, Dynamical Systems and Computation (CCDC). She directs the Smart Infrastructure Systems laboratory and focuses on scalable control frameworks, data analytics, and market mechanisms for sustainable cyber-physical systems in smart grids and electric transportation. PhD in Electrical and Computer Engineering from UC Davis (2014) Recipient of the National Science Foundation CAREER award (2019) Associate Editor for IEEE Transactions on Control of Network Systems and IEEE Open Journal of Control Systems Her research spans theoretical work in networks, optimization, and AI, with applications in smart grids , electric transportation , and resilient infrastructure . She has contributed to safe optimization algorithms, decentralized learning, and game-theoretic approaches in resource allocation. Recent publications highlight advancements in safe optimization (safe linear bandits, conservative linear bandits), decentralized learning (robust federated learning), game theory (General Lotto games, resource allocation), and smart charging (mobility-aware EV scheduling). These works emphasize real-time decision-making under constraints, security, and robustness in cyber-physical systems. NSF Early CAREER Award Northrop Grumman Excellence in Teaching Award Her research group includes PhD students Spencer Hutchinson, Arghavan Zibaei, Nanfei Jiang, and Sajjad Ghiasvand, with alumni placed at institutions like Apple, Toyota, and the University of Colorado.

Lars Augestad Lochstoerمشاهده پروفایل

استاد

• Asset Pricing
• Asset Management
• Quantitative Finance
• +۵ مورد دیگر

Lars Augestad Lochstoer is a Professor of Finance at the UCLA Anderson School of Management, where he teaches Empirical Methods in Finance and Data Analytics and Machine Learning in the Master of Financial Engineering program. He previously held faculty positions at Columbia University and London Business School, and served on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund from 2016 to 2022. Dr. Lochstoer earned his Ph.D. in Finance from the University of California, Berkeley's Haas School of Business in 2005, following his Sivilingeniør Business Economics degree from the Norwegian University of Science and Technology in 1999. His research focuses on understanding the economic mechanisms that drive asset prices, including stock market return dynamics, cross-sectional stock returns, exchange rates, and commodity markets. He has made significant contributions to asset pricing literature, particularly in volatility expectations, risk-return tradeoffs, and currency risk. His publication record reveals a strong focus on behavioral aspects of asset pricing, with recurring themes of investor expectations, volatility dynamics, and market anomalies. His work often combines theoretical models with empirical evidence, frequently incorporating quantitative methods and data science approaches. Recent publications show increasing attention to currency risk and multi-horizon risk-return relationships, reflecting evolving market conditions and research interests. EFA Viz Risk Management Prize for best paper in Energy Markets, Securities and Prices (2009) Michigan Ross School of Business Mitsui Finance Symposium Best Discussant Award (2012) UCLA Anderson Excellence in Teaching Award (2017, 2020, 2021) RFS Distinguished Referee Award (2021) As an active member of the academic finance community, Lochstoer serves as an associate editor for the Review of Finance and the Critical Finance Review, having previously served in the same capacity for the Review of Financial Studies. His professional service includes committee roles in major finance associations and extensive reviewing for top finance and economics journals. He has also contributed to practical finance through his service on the Asset Allocation Advisory Committee for the Norwegian Sovereign Wealth Fund.

Lev Levitinمشاهده پروفایل

استاد

• Information Theory
• Computer Networks
• Quantum Information
• +۳ مورد دیگر

Lev Levitin is a Distinguished Professor in the Department of Electrical & Computer Engineering and Division of Systems Engineering at Boston University, with office PHO 332 and contact email levitin@bu.edu. His primary academic focus spans information theory, quantum communication, and computer network architecture. Education: PhD, USSR Academy of Sciences, Gorky University, 1969 Levitin's research integrates fundamental physics with information systems, emphasizing quantum measurement theory, bioinformatics, and the physical limits of computation. His work explores critical phenomena in network dynamics, virtual cut-through routing algorithms, and thermodynamic constraints in information processing. This interdisciplinary approach bridges theoretical physics, computer engineering, and complex systems analysis to address foundational questions in reliable computing. Analysis of his 15 most recent publications reveals two dominant research threads: (1) rigorous modeling of interconnection networks with emphasis on latency, saturation, and phase transitions in multidimensional topologies, and (2) quantum information theory investigations into physical limits of communication, energy requirements, and measurement constraints. The network studies consistently employ virtual cut-through routing as a core methodology, while quantum works establish fundamental bounds on information retrieval and computational speed. Scientific Awards: Life Fellow, IEEE Member, International Academy of Informatization Levitin leads the Reliable Computing Laboratory at Boston University, teaching foundational and advanced courses including Introduction to Engineering, Logic Design, Probability Theory, and specialized graduate courses in Information Theory and Discrete Mathematics. His educational contributions span undergraduate instruction through doctoral supervision, though specific student names and current grant funding details are not documented in the provided materials.

• Sports Economics
• Betting Markets
• Match Fixing
• +۷ مورد دیگر

Professor Christian Deutscher is a prominent sports economist at Bielefeld University's Faculty of Psychology and Sport Science, specializing in the Department of Sport Science within Division V - Sport and Business. As both Research Officer and Internationalization Officer, he leads significant work in sports economics, particularly focusing on betting markets, match-fixing detection, and sports integrity. His research has attracted funding from major institutions including the German Research Foundation. Deutscher's research interests span sports economics, betting market efficiency, match-fixing detection, sports management, and the business aspects of professional sports. His work combines advanced statistical modeling with practical applications in sports integrity monitoring. He has extensively analyzed live betting markets, Bundesliga economics, and the impact of technological innovations like VAR in football. His research often examines the intersection of sports performance, economic incentives, and market behavior. Analysis of his recent publications reveals a strong focus on empirical studies of sports betting markets, particularly live and in-play betting dynamics. His work demonstrates sophisticated use of state-space models and other advanced statistical techniques to detect market inefficiencies and potential integrity issues. Deutscher frequently collaborates with statisticians and economists to develop warning systems for match-fixing, with particular attention to German football leagues. His research bridges theoretical economics with practical applications in sports governance. Professor Deutscher actively contributes to the European Sport Economics Association (ESEA), having edited special issues of conference proceedings and serving in editorial capacities. His work has been published in leading journals including Journal of Sports Economics, Economic Inquiry, and Applied Stochastic Models in Business and Industry. As Research Officer for the Faculty of Psychology and Sport Science, Deutscher oversees research initiatives and international collaborations. His current projects include data-based fraud detection in live betting markets, funded by the German Research Foundation across multiple phases. He also serves on various university committees including the Quality Improvement Commission and Examination Board for the Department of Sport Science. Deutscher maintains strong connections with sports organizations and betting industry stakeholders, ensuring his research has practical relevance for sports integrity monitoring. His work on betting market inefficiencies has direct applications for regulatory bodies seeking to protect the integrity of sporting competitions.

Silvia Cavagneroمشاهده پروفایل

استاد

• Protein Folding
• Biomolecular Spectroscopy
• Neurodegenerative Diseases
• +۴ مورد دیگر

Silvia Cavagnero is a Professor in the Department of Chemistry at the University of Wisconsin–Madison, with a research focus on protein folding and misfolding in cellular contexts. Her work integrates biomolecular spectroscopy, chemical biology, and computational methods to address fundamental questions in structural biology. B.S., First University of Rome ‘La Sapienza’ (1988) M.S., University of Arizona (1990) Ph.D., California Institute of Technology (1996) Her research explores the role of molecular chaperones like Hsp70 in protein biogenesis, the development of laser-driven NMR techniques for enhanced sensitivity, and the implications of protein aggregation in neurodegenerative diseases. Key projects include cotranslational folding studies at ribosomal exit tunnels and hyperpolarization methods for low-concentration NMR analysis. The 15 most recent publications highlight interdisciplinary advances in NMR spectroscopy optimization Protein folding kinetics Cryo-EM structural analysis Chaperone-client interactions Hsp70 antimicrobial design Hydration dynamics in folding Scientific contributions include A Prize for Going in Vivo (2017) Recognition for Diversity and Inclusion Efforts Students from the Cavagnero Group have pursued careers in academia, pharmaceutical industries, and national laboratories. Her lab emphasizes interdisciplinary training, blending physical chemistry, biology, and computational analysis.

• Journalism
• Journalistic Cultures
• Lifestyle Journalism
• +۳ مورد دیگر

Folker Hanusch is a Professor and Vice Dean at the Faculty of Social Sciences, University of Vienna, where he also serves as Vice-Director of Studies for Mass Media and Communication Science. He is based in the Department of Communication and teaches advanced seminars on journalism theory, research methods, and master's level courses. His educational qualifications include: BA (Hons) PhD Professor Hanusch's research focuses on: Journalistic cultures and role perceptions across national contexts Lifestyle journalism and boundary work with peripheral actors Cultural impacts on journalistic practices in Pacific Islands and Austria Phenomenological approaches to media trust and social identity Digital transformation challenges including audience analytics Commercial pressures on journalistic autonomy His recent publications (2024-2025) demonstrate concentrated exploration of peripherality in journalism, showing how lifestyle journalists negotiate authority against influencers while navigating platformization and commercial demands. Cross-cultural comparisons reveal how local contexts fundamentally shape journalistic values and practices. As Vice-Director of Studies, he oversees academic programs but no specific student advisees are documented in available sources.

Adrienne Woodمشاهده پروفایل

استادیار

• Social Psychology
• Emotion
• Social Networks
• +۳ مورد دیگر

Adrienne Wood is an Assistant Professor in the Department of Psychology at the University of Virginia. Her research lab, Emotion and Behavior Lab, investigates social connections through multimodal approaches including mobile sensing, social network analysis, and behavioral economics. She holds a Ph.D. from the University of Wisconsin-Madison and a B.A. from Colorado College. Wood's research examines how people form and maintain social ties across cultural divides, addressing loneliness through analysis of nonverbal behavior, emotion contagion, and network dynamics. Her work emphasizes: Behavioral mechanisms of connection (laughter, synchrony) Social network formation in diverse communities Cross-cultural relationship building She employs innovative methodologies like acoustic analysis and agent-based modeling. Her recent publications (2023-2025) demonstrate strong focus on: Emotional communication in evolving relationships Cultural influences on social competence Crisis impacts on behavior Nonverbal synchronization mechanisms Longitudinal analysis of social interactions No scientific awards are mentioned in the source material. Wood leads the Emotion and Behavior Lab, studying verbal/nonverbal behaviors underlying social bonds. Her team explores: Real-world interaction patterns Diverse community integration Computational social science approaches

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

Sarah E. Steinمشاهده پروفایل

دانشیار

• Auditing
• Corporate Governance
• Accounting Associations and Networks
• +۴ مورد دیگر

Sarah E. Stein is an Associate Professor and Deloitte Foundation Faculty Fellow in the Department of Accounting and Information Systems at Virginia Polytechnic Institute and State University (Virginia Tech). She serves as Director of the Ph.D. Program within the Pamplin College of Business. Her academic journey includes a Ph.D. from the University of Missouri, a B.S. and M.S. in Accounting from Truman State University, and CPA licensure in Colorado. Prior to academia, she worked as an audit manager at Deloitte in Denver. Education: Ph.D., University of Missouri; B.S. and M.S., Truman State University; CPA (Colorado) Roles: Deloitte Foundation Faculty Fellow, Director of Ph.D. Program Dr. Stein’s research focuses on auditor expertise, corporate governance, auditing networks, and financial reporting challenges. Her work has been published in top journals like The Accounting Review and Auditing: A Journal of Practice & Theory . She received the 2019 Best Paper Award in Issues in Accounting Education and the 2020 Innovation in Auditing Education Award for her data visualization audit case. Her recent articles (2023–2025) highlight themes such as audit committee responsibilities, CFO-audit partner dynamics, and small accounting firm strategies. Her teaching includes graduate auditing courses and PhD seminars. Research trends in her articles emphasize audit quality, governance evaluation, and emerging technologies in auditing. She actively contributes to professional standards through commentaries on PCAOB releases. Awards: 2019 Best Paper Award, 2020 Innovation Award, Deloitte Doctoral Fellowship Dr. Stein advises the Ph.D. program and collaborates with industry on audit innovation. Her lab focuses on auditing education and case development, reflecting her commitment to bridging academic research and practical application.

Line Roaldمشاهده پروفایل

استاد

• Power Systems Optimization
• Renewable Energy Integration
• Grid Resilience
• +۵ مورد دیگر

Professor Line Roald is a faculty member in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power system optimization, renewable energy integration, grid resilience, and wildfire risk mitigation using stochastic optimization and data-driven methods. Education : PhD (2016), MS (2012), BS (2009) from ETH Zurich Key Research Areas : Power Systems Optimization, Renewable Energy Integration, Wildfire Risk Mitigation, Stochastic Programming, Grid Decarbonization Her work addresses critical challenges in sustainable energy systems, including balancing grid efficiency and risk, optimizing electrolyzer scheduling for flexibility, and predicting cascading blackout severity using graph neural networks. She has developed frameworks for carbon intensity comparison and wildfire risk assessment in power systems. Scientific Awards : 2024 Inclusion, Equity and Diversity in Engineering Award 2024 Vilas Faculty Early Career Investigator Award 2023 IEEE Power Tech Best Student Paper Award 2021 NSF CAREER Award 2019 MTLE Fellow Professor Roald mentors graduate students and teaches courses including Introduction to Optimization and On-Line Control of Power Systems . Her publications highlight innovative approaches to grid security, carbon-efficient energy markets, and climate resilience in infrastructure systems.

Philipp Koralusمشاهده پروفایل

استاد

• Philosophy of Cognitive Science
• Artificial Intelligence
• Philosophy of Language
• +۶ مورد دیگر

Philipp Koralus is the McCord Professor of Philosophy and AI at the University of Oxford and serves as Director of the Human-Centered AI Lab (HAI Lab) within the Institute for Ethics in AI. He is also a member of St Catherine's College. Koralus holds a Ph.D. in Philosophy and Neuroscience from Princeton University and a B.A. from Pomona College. His research focuses on the human capacity for reasoning and decision-making, exploring how these processes relate to artificial intelligence agents and large language models like GPT. He advocates for the Erotetic Theory of Reason (ETR), which posits that reason aims to resolve issues or questions directly, explaining both human rationality and fallibility. His work extends to moral judgment, definitions of intelligence, and interdisciplinary collaboration with computer scientists, psychologists, linguists, and neuroscientists. Koralus is preparing to launch the HAI Lab in Fall 2024, aiming to advance human-centered AI ethics and cognition research. His educational background includes advanced studies in philosophy and neuroscience, combining analytical rigor with empirical insights. Collaborations span diverse fields, including fisheries management through agent-based modeling and healthcare ethics in AI applications. He has published widely on topics such as attention mechanisms, visual perception, and the theoretical foundations of AI reasoning. Koralus regularly teaches graduate seminars on philosophy and AI, including upcoming sessions like 'Building the Philosophy to Code Pipeline' starting in 2025. He has supervised doctoral students in both philosophy and computer science but currently lists no specific advisees. His research has been recognized in symposia and commentary, though no formal scientific awards are explicitly mentioned.

• Cyber-Physical Systems
• Machine Learning
• Self-Adaptive Systems
• +۴ مورد دیگر

Dr. Ilias Gerostathopoulos is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute and the Department of Information Management & Software Engineering. He specializes in self-adaptive systems, cyber-physical systems, and machine learning operations (MLOps). His work focuses on software architectures for autonomous systems, decision-making under uncertainty, and experiment-driven adaptation frameworks. He teaches courses such as 'Fundamentals of Adaptive Software' and 'Information Management', emphasizing practical applications of adaptive systems and data-driven decision-making. Gerostathopoulos has been awarded the Best Presentation Award (2021) for contributions to evaluating self-adaptive systems. His research addresses challenges in industrial self-adaptation, MLOps architectures, and robotics. Key research themes include: Architecture-based self-adaptation in robotics and CPS MLOps frameworks and systematic analysis of AI systems Uncertainty management in autonomous systems Experiment-driven learning and tool development Notable contributions include the ExpEngine tool for workflow optimization and the ReBeT framework for robotic systems. His work bridges theoretical software engineering with practical industrial implementations.

Jura Liaukonyteمشاهده پروفایل

دانشیار

• Economics of Advertising
• Quantitative Marketing
• Industrial Organization
• +۴ مورد دیگر

Jura Liaukonyte is an Associate Professor of Marketing and Applied Economics at the Charles H. Dyson School of Applied Economics and Management within the SC Johnson College of Business at Cornell University. She holds a Ph.D. from the University of Virginia (2009). Her research focuses on the intersection of applied microeconomics, industrial organization, and quantitative marketing, with a particular emphasis on advertising content, consumer behavior, and food marketing. She has developed notable work on generic advertising, advertising as a public good, and food labeling issues. Her recent research explores topics like the impact of social media boycotts on sales (e.g., the Goya boycott study), the effects of GLP-1 medication adoption on consumer food choices, and political polarization in consumer goods. She has also contributed to understanding online shopping dynamics and the role of personalized pricing in consumer fairness perceptions. Key projects include analyzing how advertising content influences investor behavior and the effectiveness of comparative advertising in OTC analgesic markets. Her work on GMO/non-GMO labeling and CRISPR-edited food products highlights her engagement with emerging technologies' societal impacts. Liaukonyte's research has been published in top journals like Marketing Science and Management Science. She collaborates with institutions such as Numerator for consumer data insights and maintains an active presence in academic networks, including the Cornell SC Johnson College of Business Research Paper Series. Her lab focuses on data-driven analyses of consumer markets, with ongoing projects on healthiness indices and price fairness in dynamic economic environments.

Thomas Szantoمشاهده پروفایل

استاد

• Political Philosophy
• Social Philosophy
• Political Phenomenology
• +۹ مورد دیگر

Prof. Thomas Szanto is a Professor of European Political Philosophy at Europa-Universität Flensburg since 2024. He holds a dual affiliation as Recurrent Visiting Professor at the Center for Subjectivity Research (University of Copenhagen). His research bridges social/political philosophy with phenomenology and emotion theory, focusing on normative political emotions, collective agency, and epistemic justice. He earned his PhD (2010) and MA (2004) from the University of Vienna. Affiliations: Europa-Universität Flensburg, University of Copenhagen (CFS), Carlsberg Foundation Project "Who are We?" Education: PhD in Philosophy (University of Vienna, 2010), MA in Philosophy (University of Vienna, 2004) Research Interests: Political emotions (hatred, solidarity), collective intentionality, critical phenomenology, climate change ethics, feminist epistemology, group agency dynamics. His work combines continental and analytical approaches, engaging social science findings from sociology, political psychology, and social movements research. Grants & Projects: Led FWF-funded project "Antagonistic Political Emotions" (€386k), Marie Curie Fellowship (SHARE project, €212k). Current projects include collaboration on group-based affective mechanisms and political cohesion. Editorial Roles: Associate Editor of Emotion Review , Editorial Board member of Philosophy and Society . Reviewed for 70+ journals including Mind and ERC. Key Contributions: Pioneered analysis of epistemically exploitative bullshit (2023), developed taxonomy of political resentment types (2024), authored monograph Bewusstsein, Intentionalität und mentale Repräsentation (2012). Supervised 6+ doctoral theses across European institutions.

Ravi Aronمشاهده پروفایل

استاد

• Healthcare IT
• Emergent Technologies
• Healthcare Startups Valuation
• +۶ مورد دیگر

Ravi Aron is a Professor of Healthcare Strategy & Technology at the C. T. Bauer College of Business, University of Houston, and Research Director of the Healthcare Business Institute. He holds a joint appointment in the Department of Health Systems & Population Health Sciences at the Tilman J. Fertitta Family College of Medicine. He earned his Ph.D. in Management Information Systems from New York University's Stern School of Business. His research focuses on healthcare IT, emergent technologies in healthcare operations, valuation of healthcare startups, and AI applications in healthcare. He has published widely in top journals like Management Science and Information Systems Research, and his work bridges information systems, operations management, and technology strategy. Dr. Aron has extensive teaching experience at The Wharton School, Johns Hopkins Carey Business School, and NYU Stern, winning multiple teaching awards. He advises Fortune 500 firms, startups, and policymakers on technology strategy, digital transformation, and risk assessment. His executive education programs address AI, machine learning, and digital business models for global executives. Key awards include the Dean's Faculty Excellence Award (2016), multiple teaching accolades from Wharton and Johns Hopkins, and the Herman E. Kross Best Dissertation Award (1999). His current projects explore healthcare supply chains, predictive models using machine learning, and valuing technology-enabled startups. He regularly participates in global forums like the World Economic Forum, advising on healthcare innovation and technology policy.