جست‌وجوی استاد و پژوهشگر

• Music Education
• Digital Media in Education
• Music Technology
• +۳ مورد دیگر

Neil Garner is a Senior Lecturer at the University of East London, affiliated with the Childhood & Social Care research institute. His work focuses on the intersection of music education, digital media, and virtual spaces. Key research themes include agency in hyper-adaptive digital environments like YouTube, paradigm shifts in music learning and sharing, and 21st-century music education policies in the UK. His scholarly contributions analyze how platforms such as YouTube reshape musical practices, spatial navigation, and pedagogical frameworks. Early career work (e.g., 2009) critically examined reflective practices in music teacher training programs, while later research (2020) explores virtual spaces' impact on creative agency and learning ecosystems. No scientific awards or grants are explicitly listed in the provided texts. Neil has not reported advisees or direct involvement in formal student supervision in the available data.

• Data Science
• Machine Learning
• Distributed Systems
• +۵ مورد دیگر

Ntoulas Alexandros is an Assistant Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His research focuses on data science, machine learning, distributed systems, web technologies, and information retrieval. He has contributed to advancements in federated learning frameworks, graph analysis, and privacy-preserving techniques. His work spans both theoretical and applied domains, including optimization of mobile content delivery, real-time data processing, and community detection in network streams. Key research interests include federated deep learning (e.g., DeepReduce), efficient communication protocols for distributed systems, and scalable algorithms for graph stream analysis. He has published widely in conferences like PAKDD and journals focusing on data mining and distributed computing. His research also addresses practical challenges such as server-to-server integration, content similarity detection, and privacy in search logs. Notable contributions include methods for rapid community detection in dynamic networks and innovative approaches to content curation from social activity streams. While no awards are explicitly listed, his active publication record reflects sustained academic engagement in high-impact areas of informatics.

• Data Science
• Natural Language Processing
• Computational Social Science
• +۵ مورد دیگر

Michael Miller Yoder is a Teaching Assistant Professor in the School of Computing and Information at the University of Pittsburgh. His research focuses on data science, natural language processing (NLP), and computational social science , with an emphasis on analyzing hate speech, identity expression, and ethical implications of AI. He holds a PhD in Language Technologies from Carnegie Mellon University (2021), advised by Carolyn P. Rosé, and conducted postdoctoral research at CMU's Collaboratory Against Hate and IDeaS Center. Research Interests: Yoder's work explores computational methods to study social interaction, including how identities and ideologies are expressed online. He has developed tools like FanfictionNLP for analyzing fanfiction and contributed to hate speech detection frameworks targeting white supremacist and misogynistic content. His work also bridges sociolinguistics and NLP, examining code-switching and discourse dynamics in platforms like Wikipedia. Recent Trends in Articles: His 2023-2024 publications emphasize detecting extremist language (e.g., white supremacist propaganda analysis), analyzing hate speech targeting marginalized groups, and evaluating fairness in AI-generated educational tools. Earlier work (2017-2021) focused on dialogue modeling, Wikipedia collaboration patterns, and identity construction in online communities. Awards: Best Student Paper (IJCNLP 2017), NSF Graduate Fellowship (2015-2018), Outstanding Reviewer (ACL 2021), and multiple conference distinctions. Teaching: Leads courses in NLP ethics, data science, and predictive modeling. Known for designing accessible curricula for non-CS students. Labs/Teams: Collaborates with the Collaboratory Against Hate and IDeaS Center at CMU, focusing on countering online extremism through computational methods.

• Media Policy
• Audiovisual Communication
• Cultural Diversity
• +۳ مورد دیگر

Maria Trinidad Garcia Leiva is an Associate Professor at Universidad Carlos III de Madrid and currently serves as Vice Dean of the Double Degree in Journalism and Audiovisual Communication. Her research focuses on audiovisual media policy, digital media transformations, and cultural diversity in the globalized media landscape. She has extensively studied streaming platforms' impact on content availability, regulatory frameworks for audiovisual services, and transnational media flows between Europe and Latin America. Her work bridges academic inquiry with policy analysis, addressing challenges such as safeguarding cultural diversity in the face of dominant platforms like Netflix. Key research themes include the circulation of European films in Latin America, comparative regulatory regimes for SVoD services, and the digital transition of terrestrial television systems. Garcia Leiva has authored over 50 publications since 2002, with a recent emphasis on subscription video-on-demand services' role in cultural representation and market dynamics. Her scholarly contributions highlight the tension between market-driven digital platforms and public interest policies, particularly in preserving cultural diversity. She has advised on digital switchover policies in Europe and Latin America and contributed to UNESCO discussions on cultural diversity conventions. Current projects include analyzing stakeholder alliances in European audiovisual prominence frameworks and evaluating the impact of EU regulatory measures on local content visibility.

Leila Kosseimمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Computational Linguistics
• +۳ مورد دیگر

Leila Kosseim is a Professor in the Department of Computer Science and Software Engineering at Concordia University, co-directing the CLaC (Computational Linguistics @Concordia) lab. She holds a PhD from the University of Montreal (1995) and has conducted postdoctoral research at Druide informatique inc. and the RALI group. Her academic leadership roles include Vice-President (2017-2019), President (2019-2021), and Past-President (2021-2023) of the Canadian AI Association (CAIAC), and current Graduate Program Director for the PhD Programs in CSSE. Her research focuses on Natural Language Processing (NLP) and Artificial Intelligence , with particular emphasis on discourse analysis, computational linguistics, and text generation. Notable projects include automated analysis of argumentative essays, clinical trial inference, and meme persuasion detection. Her work integrates deep learning, neural networks, and transformer models to address challenges in text coherence, discourse parsing, and multilingual NLP. Leila has supervised 8 PhD and over 20 Master’s students, contributing to the next generation of computational linguists. Her CLaC lab has participated in multiple international challenges (SemEval, TREC, DEFT) and produced influential tools like TIMBERT and the Concordia NLG Surface Realizer.

Boualem Benatallahمشاهده پروفایل

استاد

• Web Services Middleware
• Business Process Automation
• Crowdsourcing Services
• +۳ مورد دیگر

Professor Boualem Benatallah is a Full Professor in the School of Computing at Dublin City University and an IEEE Fellow. His research develops concepts in service-oriented computing including web services middleware, business process automation, crowdsourcing quality control, AI-augmented services, and task-oriented conversational systems. With over 300 publications (90+ journal papers) and 23,000+ citations, he has served as general/PC chair for major conferences and on editorial boards of ACM Transactions on Web and IEEE Transactions on Services Computing. His work has been supported by ARC grants, CRCs (Smart Services, Data to Decisions), and EU networks. Professor Benatallah supervised over 35 research students to completion. He previously held positions at UNSW Sydney (21 years) and visiting positions at INRIA-LORIA, Trento University, and Paris Dauphine. He obtained his PhD from Grenoble University.

Matthew Hindmanمشاهده پروفایل

دانشیار

• Internet politics
• Political communication
• Online campaigning
• +۳ مورد دیگر

Matthew Hindman is an Associate Professor at the School of Media and Public Affairs. He specializes in Internet politics, political communication, and the political economy of digital media. Previously, he was an Assistant Professor of Political Science at Arizona State University and a nonresident Faculty Associate at Harvard's Berkman Center for Internet and Society. His research critically examines the intersection of technology and democracy, including the impact of search engines, social media, and digital monopolies on political discourse. His seminal book, *The Myth of Digital Democracy* (2009), won the Goldsmith Book Prize and the Donald McGannon Award. It challenges assumptions about the democratizing potential of the Internet, revealing how online political discourse remains concentrated among elites. Recent work explores disinformation, algorithmic personalization, and the global political economy of digital platforms. His articles analyze topics like Russian propaganda on social media, visual misinformation, and the role of YouTube in political communication. Hindman has presented at leading universities including Harvard, Yale, and Stanford, and his work has influenced FCC policy discussions and media coverage via NPR and *The New York Times*. He holds a Ph.D. in Political Science from Princeton University (2005).

Michael James Walshمشاهده پروفایل

دانشیار

• Cultural Sociology
• Symbolic Interaction
• Sociology of Everyday Life
• +۵ مورد دیگر

Michael James Walsh serves as Associate Professor in Social Science within the Faculty of Business, Government at the University of Canberra, specializing in cultural sociology and digital technology impacts on social interaction. His research examines communication technologies through frameworks derived from Erving Goffman's theories, with emphasis on musical culture and media evolution. Education PhD, Monash University (2011) Bachelor of Social Science (Hons), University of Sydney (2006) Walsh's scholarly focus centers on symbolic interaction and microsociology, analyzing how digital platforms reshape everyday social practices. His methodology integrates qualitative interviews, ethnography, and digital research techniques to investigate social media dynamics, music streaming behaviors, and framing mechanisms in online environments. Key contributions explore Instagram's role in identity construction and the transformation of musical listening through algorithmic curation. Recent publication trends (2022-2024) reveal intensifying interdisciplinary work bridging political science, media studies, and cultural sociology. His output addresses urgent contemporary issues including election campaign discourse, health misinformation propagation via memes, and regulatory challenges in crowdfunding ecosystems—demonstrating consistent methodological rigor across diverse digital contexts. Walsh actively contributes to academic governance as reviewer for Symbolic Interaction journal and member of The Australian Sociological Association. He supervises doctoral candidates and recently collaborated on a 2022 project examining policy responses to refugee women's experiences in Australia, reflecting sustained engagement with socially relevant research questions.

Virginio Cantoniمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Image Processing
• +۳ مورد دیگر

Virginio Cantoni is a Full Professor at the University of Pavia, affiliated with the Faculty of Engineering and Department of Industrial and Information Engineering. He leads the Vision Artificial Laboratory (Laboratorio di Visione Artificiale) and focuses on advanced research in computer vision, pattern recognition, and cultural heritage digitization. His work integrates technical innovation with human-centric applications, particularly in accessibility for visually impaired individuals and interactive cultural education. Research interests include 3D modeling of historical artifacts, gaze-based human-computer interaction, and biometric systems leveraging eye-tracking. Notable projects involve the digital reconstruction of Pavia’s historical landmarks and the development of tactile interfaces for art appreciation. Cantoni emphasizes interdisciplinary approaches, combining computer science with cultural studies and education. He has contributed to major initiatives such as the DAFNE project (Digital Anastylosis of Frescoes) and the creation of serious games for cultural outreach. His teaching includes advanced computer graphics and digital humanities curricula, emphasizing experiential learning through hands-on projects. Professional activities include editorial roles in academic journals and collaborations with institutions like the KIRO portal. He actively promotes the integration of emerging technologies into university education through programs like the FETCH European Network.

Anne Oeldorf-Hirschمشاهده پروفایل

دانشیار

• Social Media Studies
• Algorithmic Literacy
• Digital Communication
• +۳ مورد دیگر

Anne Oeldorf-Hirsch is an Associate Professor in the Department of Communication at the University of Connecticut. Her research focuses on social media’s role in information sharing, well-being, and algorithmic literacy, particularly on platforms like TikTok and Instagram. She is affiliated with the Human-Computer Interaction Lab, UConn Center for mHealth and Social Media, and the Institute for Collaboration on Health, Intervention, and Policy (InCHIP). Education: Ph.D., Mass Communications, Pennsylvania State University, 2011 B.A., Psychology, magna cum laude, Portland State University, 2005 Research Interests: Algorithmic transparency, misinformation dynamics, social media effects on mental health, and digital privacy. Recent work examines how users perceive algorithmic systems and the implications for health communication and civic engagement. Key Contributions: Edited a special issue on algorithmic literacy and political literacy for Frontiers in Psychology (2024). Received the 2019 AEJMC Article of the Year Award for work on news exposure on social media. Explored the privacy paradox in older adults’ social media use (2020). Grants & Labs: Active in interdisciplinary research through affiliations with UConn’s mHealth Center and the Connecticut Institute for Brain and Cognitive Science. Collaborates on projects like “Research on Resilient Cities, Racism, and Equity.”

Pete Turnerمشاهده پروفایل

مدرس

• Film Studies
• Horror Cinema
• Film Marketing
• +۲ مورد دیگر

Pete Turner is Lecturer in Film and Digital Media Production at Oxford Brookes University, teaching across Communication, Media and Culture programs. A Brookes Union Teaching Award finalist, he specializes in horror cinema, social media marketing, and found footage aesthetics. Research explores cognitive approaches to horror film reception, audience engagement with transmedia marketing, and cultural memory of VHS-era film consumption. Current projects investigate supernatural folklore in contemporary horror franchises. Publications demonstrate consistent examination of audience experiences, from psychological responses to found footage horror to nostalgic recollections of 1980s media consumption. Recent work analyzes Instagram communities around film marketing campaigns. Turner supervises student projects spanning documentary ethics, digital inclusion, and interactive storytelling. As novelist and screenwriter (under pseudonym C.M. Taylor), he bridges academic and creative practice.

Alvin Zhouمشاهده پروفایل

استادیار

• Computational Social Science
• Strategic Communication
• Audience Analytics
• +۷ مورد دیگر

Alvin Zhou is an Assistant Professor at the Hubbard School of Journalism & Mass Communication, University of Minnesota. His research focuses on computational social science and strategic communication, examining topics like advertising, public relations, and digital technologies' societal impacts. He holds affiliations with the Data Science Initiative (DSI) Steering Committee at the College of Liberal Arts, the School of Statistics, Asian American Studies, and the Minnesota Computational Advertising Lab (MCAL). Dr. Zhou earned his Ph.D. in Communication from the University of Pennsylvania Annenberg School, with additional degrees from Wharton (M.A. Statistics), USC Annenberg (M.A. Strategic Public Relations), and dual bachelor’s degrees in Mechanical Engineering and Journalism from Tsinghua University. His research has been recognized with awards such as the 2019 ICA Robert Heath Award and the 2024 IPRRC Fullintel Media Insights and Impact Award. He serves on editorial boards of six top strategic communication journals and edited a special issue on computational strategic communication for Public Relations Review . Zhou teaches computational social science and digital media courses, mentoring students in data-driven communication practices. His work bridges social theory and applied data science, addressing issues in organizational communication, health communication, and political engagement. Labs and affiliations include the Minnesota Computational Advertising Lab (MCAL), Data Science Initiative (DSI), and collaborations across interdisciplinary units at the University of Minnesota.

Anna Haenschمشاهده پروفایل

مدرس

• Data Science
• Social Sciences
• Public Policy
• +۵ مورد دیگر

Anna Haensch is a Lecturer at The Fletcher School of Law and Diplomacy and a Data Scientist I at the Data Intensive Study Center, Provost’s Office, both at Tufts University. She holds a secondary appointment in the Department of Mathematics. She earned her Ph.D. in Mathematics from Wesleyan University (2013) and a B.S. from SUNY New Paltz (2007). Her career includes tenure as an Associate Professor of Mathematics at Duquesne University (2020) and a visiting scientist position at the Max Planck Institute for Mathematics. She transitioned to industry as a data scientist before joining Tufts in 2021. Education : Ph.D. in Mathematics, Wesleyan University, 2013 B.S. in Mathematics, SUNY New Paltz, 2007 Research Interests : Intersection of mathematics and social sciences, focusing on data-driven solutions for equity, sustainability, and safety. Key areas include police accountability (co-director of the SToPA Lab), offshore wind infrastructure, vaccine hesitancy modeling, and ethical data practices. Recent work emphasizes causal inference, policy analysis, and interdisciplinary collaborations. Publications Trends : Her work bridges theoretical mathematics (e.g., quadratic forms, hyperbolic geometry) and applied data science, addressing societal challenges. Recent articles highlight police accountability frameworks, renewable energy modeling, and opinion dynamics in polarized environments. Awards : AAAS-AMS Mass Media Fellowship (2013) Grants & Labs : NSF-funded projects on offshore wind infrastructure and human behavior modeling. Co-director of the Small Town Police Accountability (SToPA) Lab. Active in interdisciplinary grants merging public policy, engineering, and mathematics. Teaching : Courses include Data Science for Global Applications and Mathematical Aspects of Data Analysis , emphasizing contextual learning for law and diplomacy students.

Sebastian Cole Poma-Murialdoمشاهده پروفایل

پژوهشگر

• Media Algorithms
• Entertainment Communication
• Streaming Services
• +۲ مورد دیگر

Sebastian Cole Poma-Murialdo is a Researcher at the Department of Media and Communication, University of Oslo's Faculty of Humanities. His research explores user interactions with media technologies, particularly algorithmic recommendations in music streaming and health crisis communication through the PREPSHIELD project. Research interests focus on entertainment media, algorithmic knowledge, user reflexivity, and music streaming behavior. Publications analyze listening modes, playlist curation practices, and youth engagement with educational media. Currently contributes to the PREPSHIELD project developing best practices for health crisis communication strategies.

Elena Simperlمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Graphs
• Social Computing
• +۳ مورد دیگر

Professor Elena Simperl is Chair of Computer Science at King's College London and Director of Research at the Open Data Institute. Her interdisciplinary work spans artificial intelligence, social computing, and collective intelligence systems. Major contributions include: Research Focus Hybrid intelligence architectures combining human and machine capabilities Knowledge graph development with applications in transport, citizen science, and media Socioeconomic aspects of knowledge engineering and dataset governance AI transparency through metadata standards (Croissant) Leadership Led 16 research projects including EU Horizon 2020 initiatives (QROWD, MediaFutures) President of the Semantic Web Science Association Co-chair of MLCommons Croissant working group standardizing AI dataset descriptions Recognition Fellow of the British Computer Society and Royal Society of Arts Hans Fischer Senior Fellowship (Technical University of Munich)