جست‌وجوی استاد و پژوهشگر

Manex Aguirrezabal Zabaletaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Poetry Analysis
• +۴ مورد دیگر

Manex Aguirrezabal Zabaleta is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen. He previously held positions as a Postdoc (2017-2019) and Assistant Professor at the same institution. His educational background includes: PhD in Natural Language Processing from the University of the Basque Country (UPV/EHU), conducted at the IXA NLP group. Master's degree in Natural Language Processing from UPV/EHU. Bachelor's degree in Computer Science (5 years) from UPV/EHU. Dr. Aguirrezabal's research focuses on the computational analysis of poetry , particularly stress patterns in English. He explores whether computers can effectively analyze poetic structures, a field with roots in the 1980s but revitalized by modern techniques. Additionally, he investigates language generation , computational morphology and phonology , and finite-state methods . His work bridges traditional linguistic inquiry with cutting-edge natural language processing. Recent publications (2023-2024) demonstrate a diverse engagement with computational linguistics, including poetry generation, multimodal corpus development, clickbait analysis, and fact-checking. His research often employs zero-shot learning and language models, reflecting current trends in AI-driven linguistic analysis. He has contributed to international collaborations such as ParlaMint (multilingual parliamentary corpora) and the GEHM Zoom corpus. While specific grant details are not provided, his active publication record indicates ongoing research support. Dr. Aguirrezabal maintains a strong connection to his Basque heritage, having pursued his early education in the Basque language.

Smita Ghoshمشاهده پروفایل

استادیار

• Social Network Analysis
• Machine Learning
• Algorithm Design
• +۳ مورد دیگر

Smita Ghosh is an Assistant Professor in the Department of Mathematics and Computer Science at Santa Clara University, part of the College of Arts and Sciences. Her research focuses on social network analysis, algorithms for information diffusion, and applications in cybersecurity, disaster management, and machine learning. She holds a B.Tech. from the West Bengal University of Technology, India, and an M.S. and Ph.D. from the University of Texas, Dallas. Her work addresses challenges in rumor containment, clickbait detection, and optimizing network models for social media content analysis. Recent publications include studies on hypergraph-based solutions for rumor blocking and stochastic models for emergency response in social networks. She also explores cross-modal topic modeling for enhancing content detection algorithms. Notable contributions include developing data-driven strategies for identifying hate speech spreaders and improving wildfire severity predictions using environmental features. Her research bridges theoretical computer science with real-world applications in public health, education, and disaster management. Her academic contributions include organizing conference proceedings like the 18th International Conference on Algorithmic Aspects in Information and Management (AAIM 2024). She actively contributes to educational initiatives such as the Classroute project, creating multilingual educational content for Punjabi and Urdu speakers.

Hongwei Wangمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Interconnected Systems
• Large Language Models
• +۶ مورد دیگر

Dr. Hongwei Wang is a Senior Researcher at Tencent AI Lab Seattle , specializing in applied machine learning for Natural Language Processing and Interconnected Systems . His work bridges Knowledge Graphs , Recommender Systems , and Graph Neural Networks , with a focus on large language models and retrieval-augmented generation. Ph.D. (2018), B.E. (2014) in Computer Science from Shanghai Jiao Tong University Postdoctoral Researcher : Stanford University (2019-2021), University of Illinois Urbana-Champaign (2021-2022) Dr. Wang’s research explores integrating Knowledge Graphs with Graph Neural Networks to enhance recommendation systems, language models, and information retrieval. His work spans Retrieval-Augmented Generation , Representation Learning , and GAN-based Graph Modeling , with recent papers on State-Space Exploration for LLM agents and Semantic Watermarking . His 15 most recent publications (2022-2024) focus on Retrieval Granularity , Interactive Memory , and Agent Systems , with keywords spanning Computer Science , Machine Learning , and Knowledge Graphs . Trends highlight advancements in Token-Level Semantic Matching , Schema-Guided Event Prediction , and Multi-Document Summarization . Scientific Awards: 2020 CCF Outstanding Doctoral Dissertation Award 2018 Google Ph.D. Fellowship Dr. Wang contributes to open-source projects like DKN and RippleNet , with 11 repositories on GitHub. He actively engages in Knowledge Graph Conferences (KDD, WWW, AAAI) and studies Chinese Classical Poetry and Film Arts .

Yingdan Luمشاهده پروفایل

استادیار

• Authoritarian Politics
• Computational Social Science
• Digital Technology
• +۵ مورد دیگر

Yingdan Lu is an Assistant Professor in the Department of Communication Studies at Northwestern University's School of Communication. She serves as Director of the Computational Media and Politics Lab, co-director of the Computational Multimodal Communication Lab, and is core faculty in Northwestern's Media, Technology, and Society (MTS) and Technology and Social Behavior (TSB) PhD programs. She is also affiliated with the Center for Communication & Public Policy and the Center for Human-Computer Interaction + Design. Her educational background includes a Ph.D. in Communication from Stanford University (2023), where she also earned a Ph.D. minor in Political Science and an M.A. in East Asian Studies. She received her B.A. in Journalism and Communication from Tsinghua University. Dr. Lu's research centers on digital technology, political communication, and authoritarian politics, with two primary focus areas: the role of digital technologies in authoritarian politics, and multimodal communication across different contexts. Her work employs computational and qualitative methods to examine how authoritarian governments use digital media and AI to maintain rule, and how individuals experience technology in different media environments. As a computational social scientist, she advances methods for analyzing multimodal data (images, videos), cross-lingual digital communication, and mixed-method research. Her publications reveal a consistent focus on digital authoritarianism, particularly Chinese state propaganda on social media platforms, multimodal communication analysis, and information manipulation. Her work spans interdisciplinary outlets including Political Communication, New Media & Society, International Journal of Press/Politics, and Proceedings of the National Academy of Sciences. Dr. Lu's research has received funding from the National Science Foundation, Brown Institute for Media Innovation, and the Stanford Institute for Human-Centered Artificial Intelligence. She is the founder of COMputation Island ("计传岛"), a WeChat-based platform serving over 10,000 Mandarin-speaking scholars in computational communication research. She leads the Computational Media and Politics Lab and co-directs the Computational Multimodal Communication Lab, where she develops innovative frameworks for analyzing multimodal data and promotes mixed-method approaches to computational social science research.

Joachim Schätzمشاهده پروفایل

مدرس

• Contexts of use of film
• Poetics and Politics of Comedy
• Theories of detail
• +۶ مورد دیگر

Joachim Schätz is a Lecturer at the Institute for Theatre, Film and Media Studies at the University of Vienna . He previously served as a University Assistant (Post-Doc) from March 2019 to February 2024 and has been a researcher in multiple projects, including the FWF-funded Practices of Educational and Teaching Films in Austria (2019–2023) and the Horizon 2020 Innovation Action Visual History of the Holocaust: Rethinking Curation in the Digital Age as a Research Coordinator (2017–2019). His research interests span the contexts of film usage poetics and politics of comedy theories of detail interfaces between economics and aesthetics documentary practices Austrian and German film history educational film historiography with a focus on media materiality and pedagogical applications. His recent publications and projects emphasize educational films, media history, and intermedial analysis. He co-founded the research network BTWH – The Emergence of Modernity and contributed to the FWF research project exploring Austria's educational film practices. Scientific awards include the DOC team scholarship for the project 'Sponsored Films and the Culture of Modernization' which supported his early research into the interplay of economics and aesthetics in Austrian industrial films. Joachim Schätz has no PhD or Master's students listed in his publications or academic contributions. His work often intersects with collaborative projects, such as the digital resource Lehrfilmpraktiken.at , which he co-coordinated.

• Computational Linguistics
• Machine Translation
• Text Simplification
• +۸ مورد دیگر

Sergiu Nisioi is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest, with expertise in computational linguistics, machine translation, and text simplification. He bridges cognitive science with NLP through eye-tracking and EEG research, while also exploring sound art and digital autonomy via initiatives like HYPHA.ro. Current projects include PN-IV-P2-2.1-TE-2023-2007 (text complexity/readability), Legal Document Processing , and Europarl Dialectal Corpora Research spans computational psycholinguistics , LSTM-based translation models , and algorithmic composition for sound art His work integrates interdisciplinary methodologies, combining EEG signal processing for architecture data with the University of Architecture, and DSP for ecological projects at chlorophylla.live.

Michael Sirivianosمشاهده پروفایل

دانشیار

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +۵ مورد دیگر

Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.

J. Nathan Matiasمشاهده پروفایل

استادیار

• Digital Governance
• Human-Algorithm Interaction
• Social Media Ethics
• +۴ مورد دیگر

J. Nathan Matias is an Assistant Professor in the Cornell University Department of Communication, where he leads the Citizens & Technology Lab (CAT Lab). His work bridges social psychology, computer science, and digital governance, focusing on human-algorithm interaction and technology policy. Education: Doctorate (2017), Massachusetts Institute of Technology Master of Science (2013), Massachusetts Institute of Technology Master's Degree (2008), University of Cambridge Bachelor of Arts (2008), Elizabethtown College Research focuses on digital governance, human-algorithm behavior, and social media ethics. He investigates how AI systems shape group dynamics, develops methods for public accountability in technology policy, and explores ethical frameworks for digital research. His lab collaborates with social media platforms, news organizations, and policymakers. Recent publications examine algorithmic compliance challenges, data refusal strategies, and behavioral impacts of digital technologies. His work addresses systemic issues like faculty diversity in academia and misinformation mitigation. He received the Rise25 Award from Mozilla (2023) for science-oriented public engagement. Awards & Recognition: Rise25 Award, Mozilla (2023)

Carmen Llamas Sáizمشاهده پروفایل

استاد

• Discourse Analysis
• Political Discourse Analysis
• Conceptual Metaphor Theory
• +۵ مورد دیگر

Carmen Llamas Sáiz is a Full Professor and head of the Department of Philology at the University of Navarra , Spain. She is an internal collaborator in the GRADUN research group on public discourse at the Institute for Culture and Society (ICS). Education: PhD in Philology (2003) from the University of Navarra, thesis: 'Semantics and pragmatics of lexical meanings created from metaphor' Her research focuses on Pragmatics and Discourse Analysis , particularly the role of metaphor and discourse markers in political and journalistic contexts. She has co-directed projects on populist political discourse in Europe and contributed to methodologies for academic writing instruction. Recent publications examine clickbait headlines , transition markers in academic reviews , and populist lexical strategies . Her work spans Spanish political parties , radio communication , and linguistic ideology in media . Books: Metaphor and Lexical Creation (2005) Co-authored Academic and Professional Communication (2012) Edited Lexicon and Argumentation in Current Public Discourse (2013), The Analysis of Political Discourse (2018), and Metaphor in Political Conflict (2020). Labs/Teams: Member of GRADUN, focusing on persuasive and interpretive strategies in public discourse.

Sabine Harrerمشاهده پروفایل

مدرس ارشد

• Game Design
• Ethics
• Critical Game Studies
• +۵ مورد دیگر

Sabine Harrer is a Senior Lecturer at the Department of Game Design , Uppsala University, Campus Gotland. Contact: sabine.harrer@speldesign.uu.se , Tel: 073-461 81 74. Research Interests Harrer specializes in critical game design , focusing on ethics , queer theory , and decolonial studies . Key areas include: Transgender allyship in game systems Racial bias in European game studies Colonial narratives in board games Intimate game design and player vulnerability Indigenous heritage preservation through games Anti-racist and decolonial game methodologies Publications & Collaborations Harrer's work spans 15+ years, addressing game ethics , cultural representation , and critical pedagogy . Notable collaborations include the Sami Game Jam and critiques of games like Assassin's Creed: Origins and Afrikan Tähti . Labs & Teams Active in the Sami Game Jam , Harrer explores collaborative game design for cultural sustainability and Indigenous storytelling.

Christine Booneمشاهده پروفایل

دانشیار

• Music Theory
• Mashup Analysis
• Digital Humanities
• +۶ مورد دیگر

Christine Boone is an Associate Professor of Music at the University of North Carolina Asheville and a Visiting Associate Professor at St. Olaf College for the 2023-2024 academic year. She holds a Ph.D. and M.M. in Music Theory from the University of Texas at Austin and a B.A. in Vocal Performance from Indiana University. Research Focus: Specializing in mashups, Boone explores their history, legality, and aesthetics. Her work bridges music theory with digital humanities, examining how mashups challenge traditional authorship and interact with copyright law. Publications: Boone has authored peer-reviewed articles on mashup typology, gender dynamics in remix culture, and acoustic phenomena, as well as a co-authored book Music Theory Matters (in production). Academic Roles: Previously a Lecturer at Indiana State University, her career spans institutions like St. Olaf College and UNCA, emphasizing undergraduate education and interdisciplinary collaboration. Key Contributions: Boone’s 2011 dissertation Mashups: History, Legality, and Aesthetics established a foundational typology for the genre. Her 2013 article in Music Theory Online refined this framework, distinguishing mashups from remixes and collage music. Recent works include analyses of AI-driven remixes and algorithmic creativity in digital platforms.

Matthias Hagenمشاهده پروفایل

استاد

• Information Retrieval
• Natural Language Processing
• Web Data Mining
• +۳ مورد دیگر

Matthias Hagen is Professor of Databases and Information Systems at Friedrich-Schiller-Universität Jena. His research focuses on information retrieval (query understanding, conversational search, comparative questions, known-item search, user simulation), natural language processing (clickbait, argumentation), and web data mining. He earned his Ph.D. from Friedrich-Schiller-Universität Jena with a thesis on algorithmic complexity, and previously led research groups at Bauhaus-Universität Weimar and Martin-Luther-Universität Halle-Wittenberg. His current work develops novel methods for retrieval-augmented generation evaluation, neural information retrieval efficiency, and user-centered search systems. Recent publications examine crowdsourcing for RAG evaluation, LLM-based relevance assessment, corpus subsampling techniques, and child-friendly web search evaluation frameworks. He contributes to open web search initiatives and develops tools like the TIREx Tracker for experimental reproducibility in IR research. Dr. Hagen serves on program committees for major conferences including SIGIR, ECIR, and ACL. His research group participates in competitive evaluations such as TREC, CLEF, and Touché. Recent projects explore axiomatic approaches to retrieval, argumentation systems, and the impact of search result quality on decision-making.

Nesrin AKINCI ÇÖTOKمشاهده پروفایل

دانشیار

• Journalism
• New Media
• Social Media
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Nesrin AKINCI ÇÖTOK serves as an Associate Professor at Sakarya University's Faculty of Communication, Department of Journalism since 2018, following prior appointments as Assistant Professor in both the Faculty of Communication (2014-2018) and Faculty of Education (2011-2014). PhD in Sociology (2010), Sakarya University: Thesis on Turkish students in German education within multiculturalism debates MA in Primary Education (2006), Sakarya University: Research on education in industrial-to-information society transition MA in Philosophy Group Teaching (2004), Sakarya University Licence in Sociology (2003), Dumlupinar University Her research spans Journalism, New Media, Social Media, Cultural Studies, Sociology, and Gender Studies with emphasis on media ethics, social change, and digital culture. Current work examines social media's impact on marital relationships, gender-based violence representation, digital literacy, and cross-cultural adaptation of international students through Turkey Scholarships Program. Recent publications (2024-2025) reveal strong interdisciplinary trends combining communication studies with psychology and sociology, particularly in digital media ethics, gender dynamics, and cultural consumption patterns. Key themes include algorithmic influence on news consumption, ethical violations in violence reporting, and semiotic analysis of influencer marketing. Ministry of Family and Social Policies Award for violence against women prevention initiatives (2020) Supervises doctoral research on television drama viewership motivations and marital communication in digital age, plus master's theses on women's daily life experiences, health news consumption, and social media activism. Leads ongoing TÜBİTAK projects on elderly news consumption practices and international student adaptation, while coordinating COST initiatives on digital mental health for youth.

• Cybersecurity
• Privacy and Anonymity
• Human Factors in Security
• +۷ مورد دیگر

Matthew Wright, PhD, is the Kevin O'Sullivan Endowed Professor and Chair of Cybersecurity at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. He holds a BS from Harvey Mudd College and MS/PhD from University of Massachusetts Amherst. Previously, he was a faculty member at UT Arlington (2005-2016). Dr. Wright's research spans privacy/anonymity systems, human factors in security, adversarial machine learning, deepfake detection, and malware analysis. His recent work explores AI-driven cybersecurity solutions and misinformation countermeasures. His publications demonstrate strong focus on Tor network security, deepfake robustness, and adaptive malware detection. He has received the NSF CAREER Award (2010) and ACM CHI Honorable Mention (2021). Current projects include DeFake (deepfake detection) and NSA-sponsored Generative AI in cybersecurity. He advises 7 PhD students and has graduated 9 PhD students, most now professors or industry leaders. Teaching includes Authentication and Security Models and Generative AI in Cybersecurity . He leads the CLARK research team and has secured $5.8M in external funding, including a $2.1M RIT Signature Interdisciplinary Research Award.

Soojong Kimمشاهده پروفایل

استادیار

• Computational Social Science
• Health Communication
• Algorithmic Bias
• +۵ مورد دیگر

Soojong Kim is an Assistant Professor in the Department of Communication at the University of California, Davis. He is affiliated with the Computational Communication Lab and the Computational Social Science Designated Emphasis program. Previously, he held a postdoctoral fellowship at Stanford University and earned his PhD from the Annenberg School for Communication at the University of Pennsylvania. His research focuses on computational methods to study societal inequality, algorithmic bias, and health communication. He currently serves as Secretary of the Computational Methods Division of the International Communication Association (ICA) and organizes the ICA Hackathon. Kim’s research explores how technology impacts social equity, including AI-driven inequality, misinformation ecosystems, and health discourse. His work has been published in journals like International Journal of Human-Computer Studies , Health Psychology , and Proceedings of the ACM on Human-Computer Interaction . Recent projects analyze AI’s role in perpetuating bias, the emotional drivers of social media engagement (e.g., 'rage bait' vs. informational content), and computational methods to predict and counteract health misinformation. He collaborates with scholars globally, including on studies of vaccine sentiment analysis, racial disparities in algorithmic perception, and public health interventions. His team includes graduate and undergraduate students at UC Davis and international partners. Kim’s work bridges computational tools with sociological inquiry, emphasizing ethical technology design and equitable digital practices.