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James TilleyView profile

Professor

• Public Opinion Analysis
• Electoral Behavior
• Political Identity Groups
• +7 more

James Tilley is a Professor of Politics at the University of Oxford's Department of Politics and International Relations (DPIR) and a Fellow and Tutor in Politics at Jesus College. His research focuses on public opinion, electoral behavior, and political identity, particularly in the context of Britain and the EU. He explores themes like voter responsibility attribution, class voting dynamics, and the emergence of post-Brexit political identities. Tilley has published influential works such as Blaming Europe (2014) and The New Politics of Class (2017), examining issues ranging from working-class political exclusion to the role of social cleavages. His media contributions include BBC Radio 4 documentaries on topics like political polarization and generational political attitudes. Teaching responsibilities include Political Sociology (PPE/HP) and Prelims Politics tutorials. His research spans over three decades, addressing evolving political identities, the impact of echo chambers on polarization, and the intersection of personality traits with political engagement. Tilley collaborates widely, with co-authors such as Sara Hobolt and Geoff Evans, and his work often intersects with contemporary issues like Brexit's societal effects and Northern Irish electoral behavior. Recent publications (2023–2025) analyze regional EU spending impacts, narcissism's role in polarization, and neighborhood effects on political divisions. His work bridges academic rigor with public engagement, contributing to debates on democracy, identity, and governance.

Chen LouView profile

Associate Professor

• Consumer Psychology
• Advertising Effects
• Brand Communications
• +6 more

Associate Professor Chen Lou is a faculty member at the Wee Kim Wee School of Communication and Information, Nanyang Technological University (NTU), Singapore. Her research focuses on consumer psychology and advertising effects, exploring how marketing communications influence behavior through information processing mechanisms. She investigates topics like influencer marketing, content strategies, and the psychological impacts of brand communications. A mixed-methods researcher, she employs techniques such as eye-tracking, psychophysiological measures, and big data analytics (e.g., sentiment analysis). Dr. Lou holds editorial roles at journals including the International Journal of Advertising and Journal of Interactive Advertising , and serves on committees for organizations like the American Academy of Advertising (AAA) and the International Communication Association (ICA). She earned her Ph.D. from Michigan State University, an M.S. from Ohio University, and a B.A. from Wuhan University. Her research has been recognized with awards such as the 2021 Mary Alice Shaver Promising Professor Award (AAA) and multiple best article awards. She actively supervises student projects, including top-winning FYPs at NTU. Key research areas include: Influencer marketing dynamics and virtual influencers Social media platform affordances and advertising effectiveness Brand activism and message framing Psychological ownership in content marketing Consumer responses to ethical and cultural messaging

Tomila LankinaView profile

Professor

• Democratization
• Popular Protest
• Russia
• +6 more

Tomila Lankina is a Professor of Politics and International Relations at the London School of Economics (LSE), specializing in democratization, popular protest, and Russian and Eastern European politics. She holds a DPhil from the University of Oxford and has held research appointments at institutions such as Stanford University and Humboldt University in Berlin. Her work examines historical legacies of social structure and their implications for democracy, inequality, and political regimes. Her groundbreaking book The Estate Origins of Democracy in Russia (Cambridge University Press, 2022) explores how pre-communist social stratification in Russia shapes contemporary political outcomes. The book has received major accolades, including the 2023 J. David Greenstone Prize and Davis Center Book Prize. Lankina’s research also addresses modern issues like Russian media manipulation, post-communist social resilience, and the impact of historical institutions on modern governance. Active in supporting Ukrainian scholars during Russia’s invasion of Ukraine, Lankina co-founded an LSE Taskforce to assist displaced students and researchers. She has been recognized for her excellence in PhD supervision by LSE and has published widely in top journals like the American Political Science Review and World Politics . Her interdisciplinary approach combines historical analysis with contemporary political dynamics, emphasizing the persistence of social hierarchies and their role in shaping autocracy and democracy. Current projects include a book on Russian dissent history and comparative studies of post-colonial and post-communist societies.

• Language Models
• Diffusion Models
• Theory of Deep Learning
• +6 more

Song Mei is an Assistant Professor in the Department of Statistics and Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She received her Ph.D. from Stanford University in 2020 under Andrea Montanari and maintains active research collaborations with institutions including Amazon (as a 2023 Amazon Research Award recipient) and OpenAI (where she is currently on leave). Her research spans the intersection of statistics, machine learning, information theory, and computer science, with particular emphasis on foundational theories for modern AI systems. Key interests include language models, diffusion models, quantum algorithms, and high-dimensional statistics, often leveraging insights from statistical physics literature. Analysis of her recent publications reveals a strong focus on theoretical underpinnings of generative AI, with significant contributions to understanding contrastive pre-training (CLIP), attention mechanisms in LLMs, and mathematical foundations of diffusion models. Her work demonstrates consistent interdisciplinary connections between statistical theory and practical AI development. Sloan Research Fellowship (2025) Noether Early Career Scholar Award (2025) Google Research Scholar Award (2024) Amazon Research Award (2024) She actively advises graduate students through MA programs and has secured significant research grants including Amazon Research Awards. Her work with AGI Labs at Amazon demonstrates applied impact of theoretical research. Current projects focus on mechanistic interpretability of large language models and mathematical frameworks for generative AI. Professor Mei leads research on the statistical principles behind frontier AI models, with particular focus on developing rigorous theoretical frameworks for understanding emergent behaviors in large-scale systems.

• Multimodal Discourse Analysis
• Systemic Functional Linguistics
• Digital Humanities
• +6 more

Professor Kay O'Halloran serves as Chair Professor and Head of Department of Communication and Media within the School of the Arts at the University of Liverpool since August 2019. She concurrently holds the position of Co-Director for the Digital Media and Society Institute (DMSI), demonstrating significant leadership across academic and research domains. Her career spans prestigious institutions including Curtin University (2013-2019) and National University of Singapore (1998-2013), where she directed the Multimodal Analysis Lab and served as Deputy Director of the Interactive & Digital Media Institute. PhD from Murdoch University (1996) Postdoctoral position at Martin Luther University (1997-1998) Visiting Distinguished Professor at Shanghai Jiaotong University (2017-2020) Professor O'Halloran's research focuses on multimodal discourse analysis, particularly the interaction of language with visual and mathematical resources. Her pioneering work in systemic functional multimodal discourse analysis (SF-MDA) has significantly impacted mathematics education and digital communication studies. Current research emphasizes digital tools for multimodal analysis and mixed methods approaches to big data analytics, addressing contemporary challenges in misinformation and public health communication. Her recent publications reveal strong thematic concentration in pandemic-related communication analysis, misinformation resistance mechanisms, and multimodal argumentation across social and cultural contexts. The 15 most recent articles demonstrate consistent application of multimodal frameworks to urgent societal issues including public health crises, political discourse, and digital literacy challenges. Founding editor of Routledge Studies in Multimodality book series (57+ volumes) Over 150 publications in leading international journals 50+ plenary/keynote presentations globally Competitive funding from National Research Foundation, MOE Singapore, US Air Force, ARC, NHMRC, and others Professor O'Halloran has directed interdisciplinary research teams comprising social scientists, computer scientists, and designers. Her leadership extends to developing commercial multimodal analysis software (Multimodal Analysis Image and Video) adopted internationally. Current projects include Eurovision 2023 wellbeing evaluation and COVID-19 misinformation immunity development, demonstrating continued relevance to contemporary societal challenges.

Tulika MitraView profile

Professor

• Hardware-Software Co-design
• Real-Time Embedded Systems
• Energy-Efficient Computing
• +7 more

Professor Tulika Mitra is the Dean of the School of Computing and Vice Provost (Special Projects) at the National University of Singapore (NUS). She holds the Provost’s Chair Professor in the Department of Computer Science and has been instrumental in shaping academic policies and strategic initiatives at NUS since joining in 2001. PhD in Computer Science, Stony Brook University (2000) M.E. in Computer Science, Indian Institute of Science (1997) B.E. in Computer Science, Jadavpur University (1995) Her research focuses on hardware-software co-design for energy-efficient computing systems, particularly in real-time embedded systems, heterogeneous architectures, and AI accelerators. She leads major research programs such as the NRF Competitive Research Programme on Low-Power Edge Accelerators and the MOE Tier-3 Programme on Green AI , collaborating with industry leaders like ARM, AMD, and Meta. Her recent publications highlight innovations in CGRA optimization , sparse attention mechanisms , photonic-digital hybrid architectures , and low-power ML inference . These works often integrate compiler techniques, architectural design, and real-time constraints for edge computing applications. Scientific Awards : ESWEEK Test-of-Time Award (2022), ACM SIGDA Distinguished Service Award, IEEE CEDA Outstanding Service Recognition Award, Teaching Excellence Award (2006), and multiple best paper recognitions. Education Leadership : Spearheaded the Computer Engineering (CEG) Programme at NUS, a joint initiative between Engineering and Computing. As a mentor , she has supervised over 25 PhD students , many now in prominent academic or industrial roles. Her research group eCO Lab focuses on embedded computing challenges, while her grant collaborations include projects on 5G base stations, reconfigurable architectures, and IoT-optimized SoCs.

Fabian BroekerView profile

Research Fellow

• Digital Ethnography
• Social Media
• Platforms
• +4 more

Fabian Broeker is an ESRC Postdoctoral Fellow in the Department of Media and Communications at LSE. His research focuses on technology's role in everyday life, particularly examining social media, dating apps, and their intersections with intimacy, identity, and urban environments. He holds a PhD from King’s College London (2021) and an MSc in Digital Anthropology from UCL. Broeker’s monograph, Love and Technology (Routledge, 2023), details his Berlin-based ethnography of dating app users. Broeker is an Associate Member of the Digital Anthropology Lab at the University of Tübingen. His work merges academic research with filmmaking, having collaborated with institutions like the BFI and British Independent Film Awards. He also consults for tech firms like Google on digital media topics. His research interests include digital ethnography, platform studies, and the spatial dynamics of dating apps. Recent publications analyze dating app rituals, location-porting in tourism, and the evolving digital dynamics of intimacy. Broeker’s work often bridges anthropology, sociology, and urban studies to explore how digital technologies shape contemporary social practices.

Jelle HellingsView profile

Assistant Professor

• Resilient Systems
• High-Performance Data Management
• Database Theory
• +10 more

Jelle Hellings is an Assistant Professor in the Department of Computing and Software at McMaster University , Canada. His research focuses on high-performance large-scale data management systems with a strong theoretical and algorithmic component, including resilient systems (blockchains) , graph databases , and external-memory algorithms . He previously worked as a Postdoc Scholar at the University of California, Davis and earned his PhD from Hasselt University in Belgium. Education: Doctor of Sciences in Computer Science (2018), Hasselt University Master of Science in Computer Science and Engineering (2011), Eindhoven University of Technology His research interests include scalable resilient systems with Byzantine fault tolerance, database theory, graph query languages, constraints on graph data, and external-memory algorithms for large graph datasets. He has authored numerous high-impact publications on blockchain-based resilient systems, query optimization in graph databases, and theoretical advancements in relation algebra expressiveness. Hellings actively contributes to academic service through program committee memberships and tutorial organization, and he currently teaches courses on future resilient databases and foundational computer science topics.

• Network Security
• Android Security
• Malware Analysis
• +6 more

Vijay Laxmi is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur, India. With over a decade of active research publication from 2014-2024, Dr. Laxmi has established themselves as a prominent researcher in network security, Android security systems, and Network-on-Chip architectures. Their work demonstrates consistent collaboration with Manoj Singh Gaur and numerous doctoral students at MNIT Jaipur. Dr. Laxmi's research interests span Network Security, Android Security, Malware Analysis, Network-on-Chip Architectures, Routing Protocols, Side-Channel Attacks, Wireless Networks, and Mobile Security. Their work bridges theoretical security frameworks with practical implementations, particularly in mobile and embedded systems. Recent publications indicate a growing focus on AI-based security approaches including GAN applications for fuzzing and deep learning for image dehazing. The research trajectory shows increasing sophistication in security analysis techniques, evolving from basic malware detection to advanced side-channel attack analysis and sophisticated network security protocols. Recent publications demonstrate expertise in both theoretical frameworks and practical implementations with applications in real-world security challenges. Dr. Laxmi has mentored numerous graduate students including Vineeta Jain, Anugrah Jain, Sonal Yadav, Mohit Singh, and Gaurav Singal, who appear as co-authors across multiple publications. Their collaborative network extends to researchers at international institutions, indicating strong academic connections beyond their home institution.

Chuqing DongView profile

Assistant Professor

• Corporate Social Responsibility
• ESG
• Government Communication
• +5 more

Chuqing Dong serves as Assistant Professor in the Department of Advertising and Public Relations at Michigan State University's College of Communication Arts and Sciences, where her research centers on corporate social responsibility (CSR), ESG communications, government relations, and AI-driven public relations practices through interdisciplinary frameworks. Her academic credentials include a Ph.D. from the Hubbard School of Journalism and Mass Communication at the University of Minnesota, complemented by dual master's degrees in Public Policy (M.P.P.) and Professional Strategic Communication. Research priorities encompass: CSR/ESG communication effectiveness in digital environments Strategic nonprofit-corporate alliances and societal impacts Ethical frameworks for caring public relations Government communication in the AI era Her 30+ publications reveal evolving trends toward AI ethics in PR, cross-cultural CSR analysis, and crisis communication during pandemics, prominently featured in Public Relations Review and Journal of Business Ethics. Recognition includes top paper awards from major associations: International Communication Association (ICA) Association for Education in Journalism and Mass Communication (AEJMC) National Communication Association (NCA) International Public Relations Research Conference (IPRRC) She mentors students in CSR/ESG communication and ethical consumerism while directing research funded by the C.R. Anderson Foundation, SSHRC, and Arthur W. Page Center examining oil industry dialogic communication, employee CSR engagement, and DEI ethics training.

• Data Visualization
• Visual Data Analysis
• Data Science
• +3 more

Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars

Tarik Abou-ChadiView profile

Professor

• European Union Politics
• Comparative European Politics
• Electoral Behavior
• +3 more

Tarik Abou-Chadi is a Professor in European Union and Comparative European Politics at the University of Oxford's Department of Politics and International Relations, and a Professorial Fellow at Nuffield College. He holds a PhD from Humboldt University Berlin (2015). His research focuses on elections, political parties, and the transformation of democratic representation in post-industrial societies. Key affiliations include the Government and Politics Network, Comparative Politics and Government, and leadership of the Swiss National Science Foundation-funded project on 'Social Status and the Transformation of Electoral Behavior in Western Europe'. He previously served as Assistant Professor at the University of Zurich before joining Oxford. His work appears in top journals like the American Political Science Review and World Politics. Awards include the Henrik Enderlein Prize (2022) and inclusion in Capital magazine's 'Top 40 under 40' (2022). He advises four doctoral students and actively contributes to media commentary on European political trends through outlets like The Economist. Research interests emphasize far-right dynamics, voter behavior, and party strategy in Western Europe. His recent analyses address gendered political preferences among youth, climate policy acceptance, and the electoral consequences of mainstream parties adopting radical-right policies.

Rhonda HadiView profile

Associate Professor

• Marketing
• Consumer Behavior
• Emerging Technologies
• +5 more

Rhonda Hadi is an Associate Professor of Marketing at the Saïd Business School, University of Oxford. She is also a Fellow of Green Templeton College and an Associate Editor at the Journal of Consumer Psychology , serving on editorial review boards for Journal of Consumer Research , Journal of Marketing Research , and Journal of the Academy of Marketing Science . Her research focuses on emerging technologies reshaping consumer experiences, including augmented reality, AI, and wearable/mobile computing. She explores crossmodal perception, cultural influences on consumer behavior, and sensory-driven decision-making. Rhonda teaches the Core Marketing course for the MBA programme and contributes to Executive MBA, Diploma in AI for Business, and executive education courses. Her engagements span industry collaborations with Fortune 500 firms, startups, and non-profits, emphasizing practical applications of her research. She is a key member of the Oxford Future of Marketing Initiative , fostering academic-industry partnerships for thought leadership. Her research interests prominently feature technology-augmented consumer behavior , particularly in multisensory interactions (e.g., haptics, temperature, scent) and how cultural contexts modulate these responses. She has pioneered studies on anthropomorphic products, chatbot ethics, and the psychological impact of digital tools like AR and the Metaverse. Rhonda received the John Elliot Teaching Award and regularly engages with media outlets like the BBC to disseminate her findings. She has delivered over 50 invited talks globally, addressing North America, Asia, Africa, and Europe. In advising and grants, she mentors students across MBA and executive programmes and secures funding via Oxford’s initiatives. Her work intersects with the Major Programme Management and Private Equity Institute , though direct grant references are not explicitly detailed. She actively participates in interdisciplinary teams at Oxford Saïd, such as the Oxford Future of Finance and Technology Initiative and the Social Thermoregulation Project , integrating insights from psychology, technology, and business strategy.

• Distributed Systems Security
• Distributed Algorithms
• Algorithms in Networking
• +4 more

Yu Haifeng is a Dean's Chair Associate Professor at the Department of Computer Science, National University of Singapore (NUS) School of Computing. He is a member of the Faculty Teaching Excellence Committee (FTEC) and has made significant contributions to distributed systems, security, and algorithms. Ph.D. (Computer Science, Duke University, 2002) M.S. (Computer Science, Duke University, 1999) B.E. (Computer Science, Shanghai Jiao Tong University, 1997) His research focuses on Distributed Systems Security , particularly blockchains and Sybil attacks, Distributed Algorithms , and Algorithms in Networking . He explores fundamental challenges in dynamic networks, including bandwidth constraints, diameter estimation, and adversarial robustness. Recent publication trends highlight theoretical advancements in blockchain scalability, Byzantine fault tolerance, and dynamic network analysis. His work bridges theoretical computing with practical applications like vehicular communication and disaster recovery systems. Best Paper in ACM SPAA, 2020 Best Paper in ACM SIGCOMM, 2010 Best Paper in ACM/IEEE IPSN, 2009 Best Paper in ACM NSDI, 2006 He has advised students such as Yuda Zhao and Irvan Jahja on projects addressing network diameter estimation and dynamic network challenges. His work has been published in top venues including JACM, Distributed Computing, PODC, and Oakland.

Andrea MontanariView profile

Professor

• High-dimensional statistics
• Machine learning theory
• Statistical physics
• +4 more

Andrea Montanari is a Professor of Mathematics and Statistics at Stanford University, affiliated with the Department of Mathematics and Statistics. His research focuses on high-dimensional statistics, machine learning theory, optimization algorithms, and statistical physics, with applications to neural networks and complex systems. He has contributed extensively to understanding generalization in overparametrized models, spin glass theory, and algorithmic methods like approximate message passing. His work bridges theoretical computer science and mathematical physics, addressing challenges in data analysis and learning from high-dimensional datasets. Notable themes include analyzing neural network dynamics, optimizing high-dimensional landscapes, and developing efficient algorithms for sparse and low-rank matrix estimation. Montanari’s publications explore topics such as the interplay between statistical and computational limits, the behavior of gradient-based methods, and the theoretical foundations of modern machine learning. His recent research demonstrates a focus on fundamental questions in learning theory, including the study of phase transitions in statistical estimation, the role of overparametrization in generalization, and the mathematical underpinnings of contemporary algorithms. While no specific awards are listed here, his contributions reflect significant impact in interdisciplinary fields.