جست‌وجوی استاد و پژوهشگر

Owen Loمشاهده پروفایل

استادیار

• Educational Technology
• Digital Media
• Journalism
• +۷ مورد دیگر

Owen Lo is an Assistant Professor in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia . His work bridges educational technology , digital media , and public health communication , focusing on misinformation , platform governance , and social media dynamics . His research explores information ecosystems during crises, including the impact of Meta’s news ban in Canada , anti-intellectualism in pandemic communication , and global platform governance . He examines how traditional and social media shape public understanding of health , politics , and security . Key themes in his publications include digital democracy , public health messaging , and media disruption . While no formal awards or student advising details are listed, his work intersects education , technology , and societal challenges .

Xingyi Songمشاهده پروفایل

مدرس

• Natural Language Processing
• Computational Social Science
• Sentiment Analysis
• +۳ مورد دیگر

Dr. Xingyi Song serves as a Lecturer in Computational Media Analysis at the Department of Computer Science, University of Sheffield, where he is an active member of the Natural Language Processing research group and the GATE team. His academic career began with MSc and PhD studies at the same institution, followed by professional roles as a machine translation specialist at Iconic Translation Machine (2015-2016) and Research Associate for EU-funded projects including Kconnect, Knowmak, and Risis2 (2016-2021). His research spans multiple critical domains in computational linguistics and social impact applications. Primary interests include Natural Language Processing with specialized focus on sentiment analysis, computational social science methodologies, and bio-medical text processing. His work demonstrates strong interdisciplinary connections between AI techniques and real-world challenges in public health communication, misinformation detection, and social media analysis. Analysis of his recent publications reveals a clear trajectory toward multimodal and large language model applications for social good. Key trends include fake news detection using cross-modal approaches, temporal analysis of vaccine hesitancy narratives during the pandemic, and innovative applications of LLMs for topic modeling and data quality enhancement. His work consistently bridges theoretical NLP advancements with practical societal applications. Dr. Song currently leads the ASIMOV project (Innovate UK, 2024-2025, £142,691) as Principal Investigator and serves as Co-Principal Investigator for the vera.ai project (Horizon Europe, 2022-2025, £776,703), demonstrating significant research leadership in AI verification systems. His collaborative network extends across multiple EU projects and interdisciplinary teams focused on misinformation detection and social media analysis. As part of the Natural Language Processing research group and GATE team, Dr. Song contributes to Sheffield's internationally recognized expertise in language technologies. His work integrates closely with healthcare applications through collaborations with medical researchers and NHS partners, particularly in mental health text analysis and vaccine communication studies.

Xi Wangمشاهده پروفایل

مدرس

• Natural Language Processing
• Conversational AI
• Retrieval-Augmented Generation
• +۳ مورد دیگر

Dr Xi Wang is a Lecturer in the School of Computer Science at the University of Sheffield, specializing in Natural Language Processing. His research focuses on conversational AI systems, personalization techniques, retrieval-augmented generation, and fairness in AI applications. He actively contributes to the school's Natural Language Processing research group and maintains strong industry connections through publications in top-tier conferences. Dr Wang earned his PhD from the University of Glasgow under Prof. Iadh Ounis and Prof. Craig Macdonald, where he developed review text-based recommender systems. He subsequently conducted postdoctoral research at University College London's web intelligence group with Prof. Emine Yilmaz, focusing on knowledge-augmented task-oriented dialogue systems. His research spans critical NLP domains with emphasis on: Conversational AI: Building dialogue systems that handle complex user interactions Retrieval-Augmented Generation: Integrating external knowledge into language models Personalization: Developing adaptive systems that respect user context Fairness: Addressing bias in recommendation and dialogue systems Machine Learning: Applying advanced techniques to information retrieval challenges Analysis of Dr Wang's 15 most recent publications (2021-2025) reveals a clear trajectory toward more sophisticated conversational systems. His work increasingly integrates retrieval methods with generative models, particularly in recommendation contexts. Key trends include cold-start problem solutions, bias mitigation in conversational agents, and novel approaches to clarification question handling. The research demonstrates growing emphasis on fairness and knowledge grounding in dialogue systems. Dr Wang received a Google research workshop grant ($20,000) in 2022 for developing knowledge-enriched task-oriented dialogue systems during his postdoctoral work at UCL with Prof. Emine Yilmaz. While no current advisees are listed, Dr Wang's grant activity demonstrates research leadership. His Google-funded project focused on action-oriented dialogue systems, showing capability in securing competitive research funding. The Natural Language Processing research group at Sheffield provides his primary academic home, where he contributes to the school's strengths in speech and language technologies. His recent publications indicate active collaboration with researchers across multiple institutions including UCL, University of Glasgow, and international partners.

Cass Zhixue Zhaoمشاهده پروفایل

مدرس

• Natural Language Processing
• Model Interpretability
• Model Hallucination
• +۷ مورد دیگر

Dr. Cass Zhixue Zhao is a Lecturer (Assistant Professor) in Natural Language Processing at the Department of Computer Science, University of Sheffield. She serves as Student Services Liaison (Library, ELTC) and leads research in model interpretability, hallucination, and compression. Her work bridges theoretical and applied NLP, with a focus on trustworthy and efficient large language models (LLMs). PhD from University of Sheffield (funded by university scholarships) Postdoc researcher (2020–2024) on model interpretability and responsible AI Co-PI for ExU project (2023–2025), funded by European Media and Information Fund (€399,926) Her research prioritizes enabling trustworthy NLP models through: Model explanation frameworks Hallucination and bias mitigation Efficient model compression techniques Knowledge editing detection and reversal Multilingual disinformation analysis Scientific text-to-image generation Recent publications (2025–2024) demonstrate expertise in: Formal logic reasoning for LLMs Security risks in knowledge editing Multilingual hallucination consistency FAITH metrics for multilingual models Pruned model hallucination analysis Visual knowledge reasoning pipelines Dr. Zhao actively supervises PhD students, with a UKRI-funded position available in 2026. She contributes to program committees (AAAI, ACL, EMNLP) and maintains active collaborations with researchers like Nikolaos Aletras, Paul Youssef, and Lucie Flek.

Jonathan Mayمشاهده پروفایل

استاد پژوهشی

• Natural Language Processing
• Machine Translation
• Computational Linguistics
• +۴ مورد دیگر

Jonathan May is a Research Associate Professor in the Department of Computer Science at the University of Southern California and a Principal Scientist at the Information Sciences Institute. He serves as Director of the Center for Useful Techniques Enhancing Language Applications Based on Natural And Meaningful Evidence (CUTELABNAME). Dr. May teaches courses including CSCI 544: Applied Natural Language Processing and CSCI 662: Advanced Natural Language Processing through Fall 2024. Dr. May's research spans natural language processing, machine translation, and computational linguistics with significant contributions to cross-lingual processing, dialogue systems, and language model development. His work bridges theoretical advances with practical applications in journalism, negotiation systems, and multimodal understanding. Recent research focuses on large language models, with particular emphasis on efficiency, personalization, grounded generation, and exploring the limits of what language models can understand about physical phenomena and human communication. Analysis of Dr. May's recent publications (2024-2025) reveals a strong focus on advancing large language models, with particular emphasis on efficiency (e.g., 'Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length'), personalization (e.g., 'Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning'), and grounded generation (e.g., 'NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews'). A notable trend is the integration of reflection and memory mechanisms into language models, as well as exploring multimodal understanding across domains from food science to negotiation. Outstanding Paper Award at EMNLP 2024 for 'Are Large Language Models Capable of Generating Human-Level Narratives?' Outstanding Paper Award at NAACL 2018 for 'Recurrent Neural Networks as Weighted Language Recognizers' Best Demo Award at ACL Demo Sessions 2018 for 'Out-of-the-box Universal Romanization Tool uroman' Dr. May leads CUTELABNAME, which has produced numerous software tools including uroman (Universal Romanizer), BotEval, and SPOLIN. The lab maintains an active research agenda with regular publications at top NLP conferences and collaborations across academia and industry. His work demonstrates both theoretical rigor and practical applicability, with many techniques being adopted in real-world NLP systems.

Hye Min Kimمشاهده پروفایل

استادیار

• Social Media for Public Health Promotion
• Communication Technologies in Health and Wellbeing
• Health Behavior and Persuasion

Hye Min Kim is an Assistant Professor of Communication at the University of Massachusetts Boston. Her research focuses on the intersection of communication technologies, public health promotion, and health behavior persuasion. PhD in Communication from University of Southern California (2022) MA in Communication from Yonsei University (2016) BA in Mass Communication from Yonsei University (2014) Her research examines how digital communication tools address public health challenges through computational analysis of social media and experimental methods. Key areas include health stigma reduction, vaccination promotion, and misinformation management. Recent work analyzes anti-stigma campaigns using m-health apps, partisan framing of pandemic policies, and network strategies for health communication. Articles span topics from HPV vaccine messaging to e-cigarette regulation debates. Kim employs mixed-method approaches combining behavioral experiments, meta-analysis, and large-scale social media data analysis to understand technology's role in health decision-making among underserved populations.

Michaël Opgenhaffenمشاهده پروفایل

مدرس ارشد

• Digital media
• Social media
• News consumption
• +۱۱ مورد دیگر

Michaël Opgenhaffen is a Senior Lecturer at the KU Leuven , affiliated with the Faculty of Social Sciences and the Lab for Media, Information & Influence (OG) . He contributes to research and teaching in digital media, journalism, and misinformation, and is a member of the KU Leuven Institute for Digital Society (DigiSoc) and the Interdisciplinary Language Institute (LILI). Current projects explore digital news consumption , fact-checking , and social media management . His research addresses political knowledge in the digital age , platform-specific editorial dynamics , and parental mediation of scary news . He lectures on journalistic research , digital storytelling , and social media strategy . Michaël’s recent publications focus on multi-platform verification , fact-check headline framing , and user engagement with misinformation mitigation. His work is presented at leading conferences like the International Communication Association (ICA) and Etmaal van de Communicatiewetenschap.

• Political Participation
• Political Socialization
• News Consumption
• +۵ مورد دیگر

Cato Waeterloos is a postdoctoral researcher at the Institute for Media Studies (IMS) of KU Leuven , focusing on the intersection of new media and democratic participation. Her work examines how social media reshapes political engagement, news consumption, and citizenship literacy. Education: Master's in Communication Sciences (2018, Ghent University) PhD in Communication Sciences (2022, Ghent University) Research Interests: Waeterloos investigates political socialization in digital environments, analyzing how social media platforms influence civic literacy, news consumption patterns, and non-traditional participation forms. Her work bridges theoretical frameworks with empirical studies on youth political engagement. Project Involvement: She led a 4-year BOF-funded project on social media's role in political participation and contributed to Ghent University's 'Municipality Without a Town Hall' initiative. Currently, she explores influencer-driven political knowledge development in the iBOF POLKNOW project. Key Trends in Publications: Her recent work spans political knowledge acquisition, fact-checking dynamics, and platform-specific participation mechanisms. Collaborative studies with Ghent University teams emphasize cross-generational and cross-platform analysis, particularly focusing on digital-native youth. Labs & Collaborations: Based at the Lab for Media, Information & Influence , she collaborates with Prof. Dr. Michaël Opgenhaffen and Prof. Dr. Desiree Schmuck on EU-funded research, integrating digital tools for enhanced civic participation.

• Distributed Optimization
• Stochastics
• Ergodicity
• +۶ مورد دیگر

Behrouz Touri is an Associate Professor in the Industrial and Enterprise Systems Engineering department at the University of Illinois at Urbana-Champaign. His research focuses on distributed optimization, stochastic systems, and information sharing mechanisms in networked environments. Academic Rank: Associate Professor Affiliation: College of Engineering, University of Illinois at Urbana-Champaign Research Interests include distributed optimization algorithms, ergodicity in stochastic chains, and modeling of information/opinion dynamics with applications in decentralized systems. His recent work addresses gradient descent with delayed updates, imperfect information sharing, and algorithmic fact-checking frameworks. Scientific Outputs demonstrate expertise in convex optimization (93% relevance), distributed computing (100% coverage), and stochastic modeling (79% emphasis). The 2024-2025 publications highlight convergence analysis and unreliability learning in distributed settings. Awards : Donald P Eckman Award (2018)

Jevin D. Westمشاهده پروفایل

استاد

• Misinformation Studies
• Generative AI
• Sociology of Science
• +۲ مورد دیگر

Jevin D. West is a Professor and Associate Dean for Research at the University of Washington Information School , where he co-founded the Center for an Informed Public . His computational research examines the spread of misinformation , sociology of science , and generative AI's impact on discourse . He advocates for open educational initiatives like his Calling Bullshit course and data reasoning games . Recent research trends span: Misinformation psychology (PNAS 2025) Network science applications (arXiv 2025) Antivaccine communities (PNAS Nexus 2024) AI ethics (Science Advances 2021) Grants include: $5M Knight Foundation for disinformation summer institute $1.1M NSF for rural library misinformation programs $293K NSF for academic recommendation systems He serves on editorial boards for JASIST and Science Advances , directs the Center for an Informed Public , and collaborates with institutions like PNAS and Nature Human Behavior .

Nathan Walterمشاهده پروفایل

دانشیار

• Strategic Storytelling
• Misinformation Correction
• Emotion and Affect in Communication
• +۷ مورد دیگر

Nathan Walter (he/him/his) is an Associate Professor in the Department of Communication Studies at Northwestern University and Co-Director of the Center of Media Psychology and Social Influence (COM-PSI) . His work focuses on strategic storytelling, misinformation correction, and the role of emotion in communication. Affiliated with the School of Communication, Walter studies health, political, and science communication contexts. Education: Ph.D. in Communication, University of Southern California M.A. in Communication, University of Haifa, Israel B.A. in Communication and English, University of Haifa, Israel Research Interests: Walter investigates how emotional dynamics and narrative structures enhance the effectiveness of "good information" while countering misinformation. His ecological models examine media psychology in health campaigns, entertainment education, and digital ecosystems. Grants and Collaborations: Supported by the NIH/FDA, Peterson Foundation, Chicago Center for Diabetes Translation Research, and Delaney Foundation, his recent projects explore innovative misinformation debunking techniques and behavior modification strategies. Labs and Teams: As Co-Director of COM-PSI, he leads interdisciplinary research on media's role in social influence, integrating psychology, communication, and public health frameworks.

Natalie Brown Devlinمشاهده پروفایل

استادیار

• Crisis Communication
• Digital Media
• Sports Communication
• +۳ مورد دیگر

Natalie Brown Devlin is an Assistant Professor at the Stan Richards School of Advertising & Public Relations, University of Texas at Austin. Her research focuses on crisis communication and digital media within sports contexts, particularly analyzing how social media empowers organizational stakeholders during sports-related crises. She also teaches courses on digital metrics in the Texas Media Program. Devlin’s research interests include: Crisis communication strategies in sports Digital/social media engagement Fan psychology and identification Media effects on nationalism Sports-related image repair theory Algorithmic personalization in communication Her recent publications examine trends in Olympic media consumption, social media-based crisis responses, and the psychological drivers of sports fan behavior. She applies systems thinking to address fragmentation in social media research and explores intersections between political identity and sports media credibility. Devlin previously worked in digital advertising as a Senior Analyst of Strategic Account Analytics, providing data-driven insights to marketing executives.

Melissa Zimdarsمشاهده پروفایل

دانشیار

• Media Misinformation
• Critical Cultural Studies
• Television Studies
• +۴ مورد دیگر

Melissa Zimdars serves as Associate Professor in the School of Arts & Sciences at Merrimack College and held a Research Affiliate position (2021-2022) at UNC Chapel Hill's Center for Information, Technology, and Public Life. Her critical media studies scholarship examines intersections of media texts, industries, policies, and culture with specialization in digital misinformation and television representation. Her academic credentials include: Ph.D. in Communication Studies (Media Studies), University of Iowa M.A. in Media Studies, University of Wisconsin-Milwaukee B.A. in Journalism, Media Studies, and Political Science, University of Wisconsin-Milwaukee Zimdars' research operates at the nexus of critical cultural studies and media industries analysis. She pioneered influential work on 'fake news' through her MIT Press book Fake News: Understanding Media and Misinformation in the Digital Age (2020), while her Rutgers University Press monograph Watching Our Weights (2019) critically examines television's role in the 'obesity epidemic.' Her scholarship consistently interrogates power structures within media ecosystems and their cultural consequences. Analysis of her 2020-2025 publications reveals two dominant trajectories: 1) rigorous examination of misinformation's impact on democratic processes and social media dynamics, particularly regarding health misinformation and alternative epistemologies; 2) continued critical analysis of body representation in television through frameworks of neoliberalism and medicalization. This interdisciplinary approach bridges communication studies, political science, and public health. Her scholarly recognition includes: Zampell Family Faculty Fellow (2021-2022) Marion Jasper Whiting Foundation Fellowship (2017) University of Iowa fellowships (2014-2015) National Communication Association top student paper award (2014) Global Fusion Conference top student paper award (2012)

Samrat Guptaمشاهده پروفایل

دانشیار

• Network Theoretic Modelling
• Information Disorder
• User Engagement
• +۳ مورد دیگر

Samrat Gupta is an Associate Professor in the Information Systems area at the Indian Institute of Management Ahmedabad (IIMA), with additional roles as a Senior Researcher at the University of Agder (Norway) and visiting researcher at Bratislava University of Economics and Business (Slovakia). His academic foundation includes a doctoral fellowship from the Indian Institute of Management Lucknow and a bachelor's degree in Information Technology from Punjab Engineering College Chandigarh. His research centers on four interconnected themes: 1) Network theoretic modelling and analytics, 2) Information disorder driven by social media, 3) User engagement dynamics on digital platforms, and 4) User-centered digitalization frameworks. These interests bridge computer science, behavioral economics, and social media analytics, with applications in misinformation detection, governance systems, and consumer behavior. Gupta's publications demonstrate consistent focus on network analytics and digital society challenges, with recent work emphasizing AI transparency, social media polarization, and data quality. His research consistently integrates computational methods with social science frameworks, particularly through graph theory applications and user-centered design paradigms. Awards & Grants: SPARC Research Grant from Ministry of Education, Government of India (2019) Best Paper Award at ALLDATA International Conference (2019) EU Horizon-funded FAME Project: Federated decentralized data marketplace Ministry of Education-funded project on polarization dynamics and echo chambers He maintains active editorial roles including Associate Editor positions for ICIS, ECIS and PACIS conferences, and contributes to doctoral education through courses on network modeling and database systems. His funded projects include European Commission initiatives on data marketplaces and Indian government collaborations on socio-cultural polarization.

• Behavioural science
• digitalisation and AI
• education and culture
• +۱۲ مورد دیگر

Dr. Christine Stedtnitz serves as a Senior Consultant at the Centre for Strategy and Evaluation Services (CSES) and as an Hourly paid lecturer in the Department of Political Economy, School of Politics and Economics, at King's College London. With over a decade of experience, she collects and analyzes qualitative and quantitative data for research projects across European countries. Her academic credentials include: PhD in Government from the University of Essex MA from the University of Konstanz Christine's research interests encompass behavioural science, digitalisation and AI, education and culture, employment and social affairs, EU politics, foreign interference in EU democracies, human rights, innovation and entrepreneurship, justice and home affairs, local and regional economic development, misinformation, political communication, political psychology, public health, and public opinion. Her work investigates how personal circumstances shape political thinking, including studies on political debates, misinformation, status threat, fact-checking, and policy decisions under uncertainty. Currently at CSES, she contributes to studies for European public sector clients, such as research on foreign interference in EU democracies, new audit technologies, and the gender investment gap for women-led companies. She has also evaluated projects for the Council of Europe and the EU on human rights in biomedicine and technical support for reforms.