جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Computer Vision
• Data Mining
• +۶ مورد دیگر

Dr. Chang Xu is an Associate Professor in Machine Learning and Computer Vision at the University of Sydney's School of Computer Science. He holds a Bachelor of Engineering from Tianjin University and a PhD from Peking University. His research focuses on machine learning, data mining, and their applications in AI and computer vision, including multi-view learning, visual search, and face recognition. He is an ARC Future Fellow and a member of the Sydney Southeast Asia Centre and The Net Zero Institute. Education: B.E. in Engineering (Tianjin University), Ph.D. in Computer Science (Peking University). His research interests emphasize handling heterogeneous data, exploring data variety, and developing algorithms for robust AI systems. His work includes adversarial robustness, neural architecture search, and efficient deep learning models. Research trends in his articles include adversarial robustness in neural architectures, efficient vision transformers, multimodal 3D style transfer, and underwater image restoration. Key contributions span image restoration, video super-resolution, and lightweight network design. He has advised multiple PhD and master's students on topics like diffusion models, radar image synthesis, and graph similarity. Awards: ARC Future Fellow. Collaborations focus on cross-domain data integration and AI applications. His labs and teams explore generative models, robust learning, and scalable robotics policies. Recent work includes diffusion models for action segmentation and robust vision-language systems.

Kenji Kawaguchiمشاهده پروفایل

استادیار

• Deep Learning
• Machine Learning
• Theoretical Foundations of Deep Learning
• +۱۲ مورد دیگر

Kenji Kawaguchi is the Presidential Young Professor in the Department of Computer Science at the National University of Singapore (NUS), where he leads the Deep Learning Lab and is a faculty affiliate at the NUS Institute of Data Science. His research bridges theoretical and applied machine learning, focusing on deep learning, large language models, and physics-informed neural networks. His educational background includes a Ph.D. and S.M. in Computer Science and Electrical Engineering from the Massachusetts Institute of Technology (MIT), advised by Leslie Pack Kaelbling, and a postdoctoral fellowship at Harvard University’s Center of Mathematical Sciences and Applications. Dr. Kawaguchi’s research interests center on the theoretical foundations of deep learning, optimization, generalization, and applications in areas such as molecular modeling, AI safety, and efficient training of large models. He has made significant contributions to understanding in-context learning, diffusion models, and neural operators for partial differential equations. His recent publications (2023–2025) reflect a strong trend toward improving the efficiency, robustness, and interpretability of large-scale models, particularly in language and scientific domains. Key themes include LLM alignment and safety, diffusion model optimization, and physics-informed learning for high-dimensional problems. Presidential Young Professor He has served as Area Chair and PC Member for top-tier conferences including NeurIPS, ICML, ICLR, AAAI, and UAI, and as reviewer for journals such as JMLR and Annals of Statistics. He has delivered invited talks at Harvard, MIT, Stanford, CMU, Brown, and Google Research, reflecting his international recognition. He actively mentors students and welcomes PhD candidates and postdocs to join his research group.

Robert Huberمشاهده پروفایل

مدرس

• Sustainable Agriculture
• Agricultural Policy
• Ecosystem Services
• +۴ مورد دیگر

Dr. Robert Huber serves as a Lecturer at the Department of Environmental Systems Science at ETH Zürich, specializing in Agricultural Economics and Policy. His research focuses on the integration of interdisciplinary knowledge to analyze and evaluate management and policy options that promote sustainable development in the agricultural sector. Institution: ETH Zürich Department: Agricultural Economics and Policy Research Focus: Sustainable Agriculture and Policy Methodologies: Bio-economic and agent-based modeling Dr. Huber's research explores how multifunctional agricultural sectors can provide essential non-market goods and services while maintaining their primary economic function of food production. His work applies bio-economic and agent-based modeling techniques to understand farmers' decision-making processes regarding ecosystem services provision, coupled with economic valuation techniques to analyze societal demand for these services. His research aims to identify effective and efficient policy measures that align supply and demand for ecosystem services at landscape scale. His recent publications demonstrate strong expertise in agricultural policy analysis, climate change mitigation strategies, sustainable farming practices, and innovative modeling approaches. His work spans topics from herbicide-free agriculture using remote sensing technologies to biodiversity enhancement in agricultural landscapes and the cost-effectiveness of different climate change mitigation policies at various scales. Remote sensing applications in sustainable agriculture Behavioral aspects of farmer decision-making Policy evaluation methodologies Climate change adaptation in farming systems Economic valuation of ecosystem services Digitalization impacts on agricultural policy Dr. Huber has published extensively in high-impact journals including Journal of Agricultural Economics, People and Nature, and Q Open. His collaborative research often involves interdisciplinary teams addressing complex agricultural sustainability challenges. His publications demonstrate a consistent focus on practical policy implications derived from rigorous empirical analysis.

Andrew Chadwickمشاهده پروفایل

استاد

• Political Communication
• Digital Media Studies
• Disinformation/Misinformation
• +۵ مورد دیگر

Professor Andrew Chadwick is a leading scholar in political communication and digital media studies at Loughborough University, where he directs the Online Civic Culture Centre (O3C). He holds a BSocSc from Birmingham, MSc and PhD from the London School of Economics. His research focuses on hybrid media systems, disinformation dynamics, and digital politics. Key contributions include conceptualizing hybrid media events and analyzing misinformation in personal messaging platforms. His work has been recognized with prestigious awards, including the APSA Best Book Award. He supervises numerous PhD students exploring topics like social media influence, public opinion, and digital disinformation. Current projects include the Leverhulme-funded Everyday Misinformation Project examining numerical disinformation on messaging apps. His media engagements span BBC Radio 4 to The Washington Post. Research highlights include studies on misinformation warnings' ineffectiveness, vaccine hesitancy, and the role of celebrities in political representation. O3C serves as a hub for interdisciplinary research on digital civic culture. Chadwick’s academic leadership includes roles in editorial boards for top journals and international conference keynotes.

• Recommender Systems
• Machine Learning
• Natural Language Processing
• +۴ مورد دیگر

Julian McAuley is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego's Jacobs School of Engineering. His research spans recommender systems, machine learning, natural language processing, music information retrieval, and multimodal learning. He maintains an active research group with numerous PhD students and postdocs working on cutting-edge AI problems. His research interests focus on developing advanced algorithms for personalized recommendation systems, with particular emphasis on sequential recommendation, multimodal learning, and integrating large language models with traditional recommendation approaches. His work bridges the gap between theoretical machine learning and practical applications across multiple domains including e-commerce, music, and healthcare. McAuley has published extensively in top-tier conferences including NeurIPS, ICML, KDD, SIGIR, and ACL, with his most recent work exploring the intersection of large language models and recommendation systems. His publications reveal a strong trend toward multimodal approaches that combine text, vision, and audio for more comprehensive understanding and recommendation. He has received significant research funding from major technology companies including Google, Amazon, Facebook, Adobe, and Samsung, as well as government agencies like the National Science Foundation and Department of Defense. His work has practical applications across multiple industries, with a focus on improving user experience through better personalization. McAuley advises numerous PhD students who have gone on to successful careers at leading technology companies and academic institutions. His former students include Wang-Cheng Kang and Jianmo Ni at Google DeepMind, Chris Donahue and Zachary Lipton as assistant professors at CMU, and Ruining He at Google Deepmind.

Beatrice Heuserمشاهده پروفایل

استاد

• Strategic Studies
• War Theory
• Nuclear Strategy
• +۷ مورد دیگر

Professor Beatrice Heuser is a distinguished academic in the Department of Politics within the School of Social & Political Sciences at the University of Glasgow. Her career spans multiple prestigious institutions across Europe, including King's College London, University of Reading, and visiting professorships at Sciences Po Paris, Bundeswehr University Munich, and MGIMO. She maintains significant affiliations with major strategic research institutes including Chatham House, RUSI, IFRI, and IRSEM. Education: BA from Bedford College London, MA from LSE, DPhil from Oxford (St Antony's/St John's), Habilitation from University of Marburg Professional Experience: Former Director of Studies at German Bundeswehr's military history research office, NATO Headquarters consultant, and extensive teaching across European institutions Her research centers on strategic studies with particular focus on the cultural dimensions of warfare, nuclear strategy, and the historical evolution of strategic thought. Key research areas include strategic culture, military exercises as political instruments, laws of war development, and European defense policy. Her work bridges historical analysis with contemporary security challenges, examining how cultural narratives shape strategic decision-making from antiquity to the nuclear age. Professor Heuser's recent publications demonstrate consistent scholarly output across strategic theory, military history, and contemporary security issues. Her work shows particular emphasis on the conceptual foundations of strategic culture, historical analysis of warfare evolution, and practical applications to modern security challenges including nuclear deterrence and asymmetric warfare. The interdisciplinary nature of her research connects political theory, historical analysis, and security studies. She actively supervises graduate students in strategic theory, nuclear strategy, insurgency studies, and defense policy-making within NATO/EU contexts. Her teaching portfolio includes War and International Relations, Defense Policy, and Strategic Theory courses.

G. John Ikenberryمشاهده پروفایل

استاد

• International Relations
• Global Order
• American Foreign Policy
• +۵ مورد دیگر

G. John Ikenberry is the Albert G. Milbank Professor of Politics and International Affairs at Princeton University, jointly appointed in the Department of Politics and the Princeton School of Public and International Affairs. He is Co-Director of the Center for International Security Studies and the Princeton Project on National Security. Ikenberry also holds the title of Global Eminence Scholar at Kyung Hee University and has held visiting fellowships at All Souls College and Balliol College, Oxford. His research centers on international relations, with a focus on the liberal international order, American foreign policy, institutional design, and post-war order building. Ikenberry’s work explores how power, legitimacy, and institutions interact to shape global governance. His scholarship bridges theory and policy, influencing both academic discourse and real-world strategy. The 15 most recent articles and books reflect a deep engagement with themes such as liberal internationalism, U.S. primacy, multilateralism, and the resilience of global institutions. His publications analyze historical patterns of order creation, contemporary challenges to the Western alliance, and the future of democratic governance in a shifting geopolitical landscape. Scientific Awards: Schroeder-Jervis Award (2002) from the American Political Science Association for best book in international history and politics ( After Victory ) Fellow of the American Academy of Arts and Sciences Advising and Grants: While specific students are not listed, Ikenberry has co-directed major research projects including the Princeton Project on National Security and has advised on U.S. foreign policy through roles on the State Department Policy Planning Staff and the Council on Foreign Relations Task Force. His work has been supported by prestigious academic and policy institutions, enabling broad scholarly and practical impact. Labs and Research Centers: Ikenberry is actively involved in leading research centers at Princeton, including the Center for International Security Studies and the Princeton Project on National Security, which bring together scholars, policymakers, and practitioners to address pressing global challenges.

Terrence Chapmanمشاهده پروفایل

استاد

• International Organizations
• International Conflict
• International Law
• +۳ مورد دیگر

Terrence Chapman is a Professor of Government at the University of Texas at Austin, affiliated with the Robert S. Strauss Center for International Security and Law, Center for European Studies, and Clements Center on History Strategy, and Statecraft. His research focuses on international organizations, conflict resolution, and political economy frameworks. Key research areas include: International institutional legitimacy Global regulatory regimes Public opinion in international affairs Conflict management mechanisms Formal modeling of diplomatic interactions Recent scholarly trends reveal expertise in climate governance negotiations, digital surveillance politics, and regulatory effectiveness. His work spans theoretical modeling and empirical analysis of international collaboration dynamics. Scientific recognition includes: 2011-2012 APSA Conflict Processes Section Book Award Teaching portfolio covers: Science Fiction and Politics International Organization and Law Research Methods in International Politics Previously served as associate/senior editor for International Studies Quarterly .

Ramina Sotoudehمشاهده پروفایل

استادیار

• Sociogenomics
• Sociology of Culture
• Social Inequality
• +۲ مورد دیگر

Ramina Sotoudeh is an Assistant Professor of Sociology at Yale University with a secondary appointment in Statistics & Data Science. Her research bridges sociogenomics, the sociology of culture, and social inequality, focusing on how genetic and social environments interact to shape human behavior. Education : BA in Social Research and Public Policy from NYU Abu Dhabi, PhD in Sociology from Princeton University Postdoctoral Experience : Fellow at Nuffield College, University of Oxford Ramina’s work in sociogenomics examines how institutional, relational, and genetic contexts influence health outcomes, such as smoking behavior and peer interactions. Her sociology of culture projects use relational methods to explore cultural frameworks underlying attitudes toward science, religion, politics, and marriage. She also investigates health disparities and inequality through interdisciplinary lenses. Her most recent publications analyze genomic population structure, behavioral plasticity, and computational approaches to algorithm selection. Earlier works focus on cultural attitudes, behavioral diffusion in networks, and genetic correlations with education and longevity. These studies span journals like American Sociological Review , PNAS , and Demography .

Dagmar Schäferمشاهده پروفایل

استاد

• History of Science
• History of Technology
• Sinology
• +۵ مورد دیگر

Dagmar Schäfer is a leading historian of science and technology, serving as Managing Director of the Max Planck Institute for the History of Science (MPIWG) and holding the Chair of China Studies and History of Technology at the University of Manchester (2011). She directs Department III: Artifacts, Action, Knowledge at MPIWG since 2013 and holds Honorary Professorships at Technische Universität Berlin (History of Science and Technology) and Freie Universität Berlin (China Studies). Her research spans the history of Chinese technology (Song-Ming dynasties), material culture, and knowledge systems, emphasizing artifacts' role in scientific diffusion. Doctorate (1996) and Habilitation (2005) in Sinology and History of Science Guest Professorships: Shanghai Jiao Tong University (2017), IAS Princeton (2019), European University Institute (2022) Her seminal work, The Crafting of the 10,000 Things (2011), explores 17th-century Chinese knowledge systems, earning the Pfizer and Levenson Prizes. Recent contributions focus on knowledge ownership (co-edited Ownership of Knowledge , MIT Press 2023) and plurilingual scholarship in Eurasia (co-edited Brill 2023). Her 2020 Leibniz Prize recognized her innovative approaches to global cultural studies. Publications analyze comparative technological paradigms, local knowledge in historical contexts, and transcultural artifact analysis. She is central to the Kn/Own/Able project challenging intellectual property norms in knowledge dissemination.

• Information Systems
• Business Systems
• Strategy and Organizational Behavior
• +۷ مورد دیگر

Thompson S.H. Teo is a Professor in the Department of Analytics and Operations (DAO) at the National University of Singapore (NUS) Business School. He holds editorial roles in top journals including European Journal of Information Systems, International Journal of Information Management, and Communications of the AIS. His research spans information systems strategy, business-IT alignment, e-commerce, sustainability, and AI's societal impacts. With over 200 publications, he ranked #143 globally in 2023 among business scientists (research.com) and was recognized in Stanford's top 2% global scientists (2021-2023). Awards include the Best Associate Editor Award (2017) and AIS Distinguished Membership. Thompson's research interests include IT adoption, cyberloafing, supply chain digitalization, and green innovation. He teaches courses on innovation, Industry 4.0, and strategic IT at undergraduate, masters, and executive levels. Notable contributions include frameworks for commute experience analysis and AI adoption market signals. His work bridges theory and practice, addressing challenges in sustainability, organizational behavior, and digital governance. Affiliations: NUS Business School, Distinguished Editorial Advisory Board (IJoIM), Senior Member (INFORMS) Grants & Leadership: Extensive editorial leadership, supervised China Scholarship Council PhD students, and executive programs on innovation design thinking. Key Contributions: Over 270 publications, four co-edited books on IT/e-commerce, and policy-relevant studies on environmental regulations and green tech adoption. His research often employs mixed methods (e.g., QCA for corruption analysis, PLS-SEM for cyberloafing models) and addresses global issues like fake news mitigation via ChatGPT and pandemic-era customer engagement in short videos.

Edoardo Galloمشاهده پروفایل

دانشیار

• Experimental Economics
• Networks
• Behavioural Economics
• +۳ مورد دیگر

Dr. Edoardo Gallo is a University Associate Professor at the Faculty of Economics, University of Cambridge, and a member of Magdalene College. His research focuses on Experimental Economics , Networks , and Behavioural Economics . Harvard University: A.B. in Physics and Mathematics University of Oxford: M.Phil. and D.Phil. in Economics Gallo's research explores how network structures influence economic behavior, cooperation, and decision-making. His work spans topics like cybercrime disruption , social exclusion , COVID-19 behavioral responses , and unethical behavior in rivalry . Gallo's recent publications (2020-2025) analyze networked social dynamics , including cooperation mechanisms , monetary exclusion , and pandemic-induced behavioral changes . His experiments often employ interactive online platforms like UbiquityLab. Unicredit Foundation Best PhD Thesis Award CRASSH Early Career Fellowship Gallo supervises PhD students such as Rebecca Heath and Christian Höhne , with interests in online social networks and network cognition . He has received grants from the International Foundation for Research in Experimental Economics and the Isaac Newton Trust .

Yuka Kobayashiمشاهده پروفایل

مدرس ارشد

• International Relations
• International Law
• Global Governance
• +۷ مورد دیگر

Yuka Kobayashi is a Senior Lecturer (Associate Professor) in China and International Politics at SOAS University of London. Currently on leave as a British Academy Global Innovation Fellow at the German Council on Foreign Relations (DGAP), she specializes in China's global governance strategies, economic diplomacy, and international law. Her research integrates fieldwork-based analysis of trade (Belt and Road Initiative/WTO), climate change, human rights, and technology. Education: LLB (Kyoto University, Public International Law specialization), MPhil & DPhil (Oxford University, International Relations). Research focuses on China's economic activities in Central Asia, Europe, Southeast Asia, and Pacific Islands, alongside UK-Japan collaborative projects on geopolitical partnerships. Key advisory roles include specialist advisor to the UK government (2021) and advisory board member for Stiftung Asienhaus (2019-2021). Publications span over two decades, addressing China's compliance with international trade norms, climate diplomacy, and evolving global governance frameworks. Supervises PhD students examining China's Pacific Island strategies and EU-China tech competition dynamics.

Aylin Caliskanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Aylin Caliskan is an Assistant Professor at The Information School at the University of Washington, with a courtesy appointment at the Paul G. Allen School of Computer Science & Engineering. She co-directs the Tech Policy Lab and is a faculty affiliate at the UW NLP RAISE and VSD Lab. Her research focuses on AI ethics, bias detection, and human-centered AI, with a particular emphasis on how biases from human society propagate into machine learning models. University of Washington – Assistant Professor Tech Policy Lab – Co-Director UW NLP RAISE – Faculty Affiliate VSD Lab – Faculty Affiliate Brookings Institution – Nonresident Fellow in Governance Her research explores the mechanisms by which human society’s biases are encoded into AI systems, particularly in language and vision-language models. She develops evaluation techniques, transparency methods, and bias mitigation strategies to address these issues. Her work has been published in top-tier venues such as Science, PNAS, ACL, EMNLP, AAAI, and ACM FAccT. She has also advised and collaborated with numerous students and researchers, including Kyra Wilson, Mattea Sim, Gandalf Nicolas, and Kshitish Ghate. Her recent and accepted publications focus on generative AI’s societal impacts, including bias amplification in AI models, gender and race bias in resume screening, and the propagation of stereotypes through multimodal systems. These studies often analyze how biases encoded in AI can influence human decision-making and societal norms. Scientific Awards: NSF CAREER Award (2024) 100 Brilliant Women in AI Ethics (2023) IJCAI Early Career Spotlight (2023) She teaches courses on Generative AI and has delivered talks at institutions such as Stanford, NYU, and Howard University. Her work also intersects with law and policy, as seen in her Brookings Institution publications and service.

Sam Kirshnerمشاهده پروفایل

دانشیار

• Behavioral Decision Making
• Operations Management
• Technology Management
• +۶ مورد دیگر

Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.