جست‌وجوی استاد و پژوهشگر

• Investigative Journalism
• Cross-Border Journalism
• Hybrid Media Organizations
• +۳ مورد دیگر

Maria Konow Lund is Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), based at Pilestredet 48, 0167 Oslo (Office S459). Her research spans digital journalism, media practices, and conflict reporting through affiliations with the Digital Journalism , Media Practice , Media, War and Conflict (MEKK) , and Transform research groups. Her research focuses on hybrid investigative journalism models evolving through digital transformation and global crises. Key interests include: Cross-border collaborative frameworks overcoming jurisdictional barriers Pandemic-driven innovations in telework and live data tracking Sustainable nonprofit-commercial funding ecosystems Local-global organizational hybrids like Bristol Cable and The Bureau Local Conflict zone reporting ethics within media-war dynamics Recent publications (2023-2024) reveal a concentrated analysis of hybridization as journalism's adaptive response to existential threats. Her work documents how investigative reporting survives through networked collaborations, digital tool innovation, and flexible organizational models—particularly during the COVID-19 pandemic where live trackers and remote verification became critical. Geographically, her research bridges Nordic, Asian, and global contexts. Professor Konow Lund actively contributes to PhD supervision practices as evidenced by her co-authored guide Praksis for kommende ph.d.-veiledere . Her research groups facilitate interdisciplinary work on media conflict dynamics and digital transformation, though specific grant details remain unlisted in available materials.

• Bioinformatics
• Health Informatics
• Affective Computing
• +۴ مورد دیگر

Dr. Stamos Katsigiannis is an Associate Professor in the Department of Computer Science at Durham University. His research focuses on bioinformatics, health informatics, affective computing, machine learning, and GPU computing applications. He holds a PhD in Computer Science from the National and Kapodistrian University of Athens (Greece), with prior roles including Postdoctoral Research Fellow and Lecturer at the University of the West of Scotland (2016-2020). Education: BSc (Hons) Informatics and Telecommunications, National and Kapodistrian University of Athens (Greece) MSc Computer Science, Athens University of Economics and Business (Greece) PhD Computer Science, National and Kapodistrian University of Athens (Greece) Research Interests: Bioinformatics, health informatics, affective computing (e.g., emotion recognition using EEG/ECG signals), machine learning applications in medical imaging and video quality, GPU-accelerated algorithms for biomedical data analysis, and biometric identification systems. His work bridges computational methods with healthcare, education technologies, and human-computer interaction. Advising & Students: Supervising postgraduate students in AI-driven healthcare, computer vision, and affective computing. Recent collaborations include projects on AI-generated content detection (De-Factify 4.0), chest X-ray image analysis (CLN network), and trajectory prediction using graph neural networks. Labs/Teams: Active in Durham's AI research groups, contributing to interdisciplinary projects in medical imaging, cybersecurity, and educational technology. Collaborates internationally in EU-funded initiatives and UK parliamentary AI governance consultations (AGENCY project).

• Media Literacy
• Disinformation
• Media Ethics
• +۳ مورد دیگر

Robert Berkman is a Part-time Assistant Professor at the School of Media Studies, The New School . With over 25 years of experience in media and information industries, he serves as founder/co-editor of The Information Advisor's Guide to Internet Research , and has held roles at Outsell Inc., MIT Sloan Management Review, and Simba Information. His expertise spans media literacy, disinformation, and digital ethics. Education: MA Journalism, University of Montana MLIS (expected 2024), Western University, London, ON Research Interests: Media literacy, news media literacy, disinformation, media ethics, social media, online research, search engines, and business research. He emphasizes combating algorithmic bias, fake news, and digital misinformation through education and institutional frameworks. Recent Work Trends: His articles address evolving challenges in news librarianship, the role of mindfulness in media literacy, and ethical pitfalls of fact-checking. He advocates for proactive strategies to counter disinformation in digital ecosystems. Awards: 2020 Innovations in Education Grant (developed media literacy video series) 2017 Distinguished Faculty Award (Media Management) Advising & Grants: Supervises thesis projects (NMDS 5960) and has led grant-funded initiatives like the 6-part news literacy video series. His courses include Digital Disinformation and AI + Media Industry . Labs/Teams: Collaborates across institutions (e.g., Simon Fraser University, University of Ottawa) to develop media literacy curricula and engage in interdisciplinary projects addressing AI ethics and data-driven media challenges.

• Digital Journalism
• Media Studies
• Disinformation Analysis
• +۴ مورد دیگر

Elias Perez, Carlos Jose is a Full Professor in the Department of Communication Studies at Universidad Carlos III de Madrid (UC3M). He serves as Director of the Master's Degree in Corporate and Institutional Communication. His research focuses on digital journalism, media studies, disinformation analysis, and the societal impact of social media algorithms. He has led projects funded by institutions like the AEI and the European Commission, examining topics such as fake news mitigation and public diplomacy strategies. His work bridges academia and practice, addressing challenges in science communication, political communication, and algorithmic governance. Notable contributions include studies on AI tools for social media toxicity analysis, the role of algorithms in news distribution, and the impact of platforms like Facebook and Google on journalistic integrity. Research Groups: UC3M MediaLab (Analytics, Media and Public Engagement) Recent Projects: Pseudociencia, teorías conspirativas, fake news y alfabetismo mediático en la comunicación en salud (2023-2027) Combating Disinformation, Hate Speech and Xenophobia against Refugees and Migrants in Chile (2023-2025) Publications span journals like Journalism Practice and Humanities and Social Sciences Communications , with a focus on disinformation dynamics, public opinion during crises, and media ethics in the digital age. His books include Science on the Ropes: Decline of Scientific Culture in the Era of Fake News (2019) and Big Data y periodismo en la sociedad red (2017). He has advised doctoral theses on topics such as public perception of fact-checking and algorithmic influence on media consumption. His work emphasizes the societal responsibility of media in combating misinformation and fostering transparency.

Michiel Bakkerمشاهده پروفایل

استادیار

• Large Language Models
• AI Safety
• Societal Impacts of AI
• +۳ مورد دیگر

Michiel Bakker is an Assistant Professor at MIT with appointments in the Institute for Data, Systems, and Society (IDSS), the Sloan School of Management, and the Center for Constructive Communication (CCC) in the MIT Media Lab. He also serves as a Senior Research Scientist at Google DeepMind. His research focuses on large language models (LLMs), AI safety, and societal impacts of AI, particularly in human-AI interaction and collective decision-making. Education: PhD in Computer Science (MIT, advised by Alex Pentland), M.Sc. and B.Sc. in Physics (TU Delft, with quantum computing research at QuTech and IBM Quantum). Entrepreneurial ventures include co-founding Bloomon and Lamudi Myanmar. Research interests include LLM applications, ethical AI, fairness in decision systems, and AI-driven consensus-building. Recent work explores AI's role in conflict resolution (e.g., Israeli-Palestinian peacebuilders) and democratic deliberation. His publications span machine learning, ethics, and social science, with contributions to NeurIPS, AIES, and Nature journals. Advising: Open to mentoring students. Grants and collaborations include MIT Media Lab projects and Google DeepMind initiatives. Labs/Teams: Active in MIT Media Lab's CCC, IDSS, and DeepMind's AI safety team. Research emphasizes bridging technical AI advancements with societal needs.

J.J. Sylvia IVمشاهده پروفایل

دانشیار

• Philosophy and Ethics of Communication
• Big Data and AI Studies
• Posthuman Media Theory
• +۵ مورد دیگر

J.J. Sylvia IV , Associate Professor of Communications Media at Fitchburg State University, specializes in posthuman media studies, digital ethics, and critical data analysis. Co-founder of Fitchburg State's Digital Media Innovation major and Social Media Master's program, he combines philosophical inquiry with technological experimentation through open educational resources, virtual reality, and generative AI applications. PhD in Communication, Rhetoric, and Digital Media (NCSU 2017) MA in Philosophy (USM 2009) BA in Communication & Philosophy (MSU 2005) His research explores: Platform epistemology and LiveJournal's role in Russian disinformation campaigns Posthuman approaches to media studies VR applications for racial microaggression empathy training Generative AI pedagogy Ethics of data-driven communication Recent publications examine algorithmic governance, epistemic sabotage, and posthuman ethics in media studies. His teaching philosophy emphasizes: Student-centered critical making Experiential learning through Greece fieldwork Hands-on technology engagement Democratic communication practices Major awards include: 2025 Massachusetts OER Gold Award 2025 OER & AI Fellowship 2022 ROTEL Grant for OER textbooks 2019 ECA Top Paper Award Current projects involve: Anti-fascist platform design research Epistemic resilience against disinformation International collaborations through the Alternative Social Media Researchers Network

Jaumin Ajdariمشاهده پروفایل

استاد

• Parallel Processing
• Wavelet Transforms
• Machine Learning
• +۷ مورد دیگر

Jaumin Ajdari is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University in Tetovo, Macedonia. He holds a Doctor of Mathematical Sciences degree from the University of Tirana, with a focus on parallel processing and orthogonal wavelet transforms. Education: PhD in Mathematical Sciences (University of Tirana, 2011), MSc in Mathematics (University of Tirana, 2006), MSc in Mathematics (University of Zagreb, 1993), Engineer in Applied Mathematics (University of Zagreb, 1993) His research spans parallel computing , machine learning , database systems , IoT applications , and natural language processing , particularly for low-resource languages. His recent publications focus on predictive modeling, smart agriculture using IoT, cloud computing challenges in education, and hate speech detection in Albanian social media. Key article trends include: Machine learning applications in education and agriculture Cloud computing adoption studies IoT sensor data analysis NLP for Balkan languages Database optimization techniques Parallel algorithm implementations

DENG Yangمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Large Language Models
• +۷ مورد دیگر

Dr. Yang Deng is a tenure-track Assistant Professor at the School of Computing and Information Systems, Singapore Management University, and a Lee Kong Chian Fellow. Previously, he was a Postdoctoral Research Fellow at NExT++ (National University of Singapore). His research focuses on Natural Language Processing, Information Retrieval, and Large Language Models, with special interests in Proactive Conversational AI, Trustworthiness of LLMs, and Human-Centered Information Seeking. He has published over 40 papers in top-tier venues including ACL, EMNLP, WWW, and SIGIR. PhD from The Chinese University of Hong Kong (2023) Research Advisor to CHEANG Chi Seng Research Domains: Natural Language Processing Information Retrieval Large Language Models Human-Agent Interaction Digital Transformation Trustworthy AI Scientific Recognition: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2024 EMNLP 2024 Outstanding Area Chair NeurIPS 2024 Best Reviewer

Jackie Chi Kit Cheungمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Jackie Chi Kit Cheung is an Associate Professor at the School of Computer Science, McGill University , and holds the Canada CIFAR AI Chair at Mila - Quebec AI Institute. His research bridges Natural Language Processing (NLP) with insights from linguistics and psychology, focusing on system evaluation, automatic summarization , and computational semantics . Key Affiliations : Mila - Quebec AI Institute, Centre for Research on Brain, Language and Music, Centre for Intelligent Machines His lab develops state-of-the-art NLP systems while proposing challenge datasets and evaluation measures. Research emphasizes broader applications in education , health , and language revitalization . Recent work includes the ACL 2024 COSMIC framework for summarization evaluation (SAC Award). He teaches advanced courses like Formal and Neural Models of Pragmatics (Winter 2024) and Evaluation of NLP Systems (Winter 2025). His group includes 10 PhD students, 8 Master's students, and active collaborations with institutions like Mila and SRI International. Scientific Recognition : Canada CIFAR AI Chair SAC Award for ACL 2024 paper Current projects explore representational harms in LLMs , long-context modeling , and mechanistic hallucination mitigation . Students and co-supervised researchers work on fairness, robustness, and commonsense reasoning.

Jaeung Simمشاهده پروفایل

استادیار

• Information Systems
• Digital Marketing
• Online Platforms
• +۴ مورد دیگر

Jaeung Sim is an Assistant Professor at the University of Connecticut's School of Business, Department of Operations and Information Management. His research focuses on understanding consumer interactions with information technology, digital platforms, and energy systems, with emphasis on sustainable operations and policy implications. He holds a Ph.D. in Management Engineering from KAIST and a B.S. in Industrial & Management Engineering (Summa Cum Laude) from POSTECH. Prior to academia, he served in the Republic of Korea Army as a sergeant and published data analytics work on music streaming trends. Research interests include: Online platform governance and consumer behavior Digital marketing strategies Energy economics and policy analysis Econometric field experiments Data-driven decision-making in operations Recent work explores topics like AI ethics in knowledge sharing, autocomplete impact on search behavior, smart metering effectiveness, and racial disparities in energy burdens. His music analytics research examines pandemic effects on streaming consumption and live-streaming economies. Teaching includes courses on data mining/business intelligence (OPIM 5671) and Python-based data science (OPIM 5512). Active in UConn's Stamford campus, he contributes to initiatives like decentralized AI education programs.

Vishnu Pendyalaمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence Ethics
• Big Data Analytics
• +۳ مورد دیگر

Professor Vishnu Pendyala is a tenured faculty member at San José State University (SJSU), serving as a Senator in the Academic Senate and Chair of the IEEE Computer Society, Santa Clara Valley Chapter. His academic roles include teaching graduate courses in Machine Learning (DATA 245), Big Data Technologies (DATA 228), and Data Warehousing (DATA 226). He holds dual expertise in Computer Engineering and Data Analytics, straddling the College of Engineering and the Data Science programs. His research focuses on AI ethics, misinformation detection, and sustainable AI , with over 100 publications and keynote addresses at IEEE, ACM, and Springer conferences. Notable contributions include frameworks for combating misinformation, quantifying AI's environmental impact, and promoting equitable AI development. Pendyala is a IEEE Distinguished Contributor and ACM Distinguished Speaker , emphasizing interdisciplinary collaboration in his work. Recent trends in his articles reflect growing attention to AI's societal implications, such as ethical governance, environmental sustainability, and policy reforms. He actively engages with media (Newsweek, The Hill) and policymakers to translate technical insights into public discourse. Pendyala’s service roles include leadership in academic senate committees and global IEEE chapters, advocating for equitable educational and research practices. Education: PhD, MS, BS in Computer Engineering and MBA in Finance. His work bridges technical innovation with societal responsibility, addressing challenges such as AI-driven democracy, ecological footprint mitigation, and global data governance.

Jieyu Featherstoneمشاهده پروفایل

پژوهشگر

• Science Communication
• Health Communication
• Social Media Analysis
• +۳ مورد دیگر

Dr. Jieyu (Jade) Featherstone is a researcher in the Department of Communication at the University of California, Davis. Her work focuses on science communication, particularly addressing vaccine misinformation, public perception of biotechnologies like CRISPR and gene editing, and cross-cultural communication dynamics around health and agricultural advancements. She employs computational methods such as sentiment analysis, semantic network analysis, and machine learning to study social media discourse. Her research explores how fact-checking interventions impact vaccination attitudes, the role of influential users in health advocacy communities, and the ethical implications of emerging technologies. She has conducted comparative studies between the U.S. and China regarding public engagement with genetic engineering and GM food rumors. Featherstone’s publications since 2019 demonstrate a strong focus on designing effective communication strategies for combating misinformation and improving public understanding of complex scientific issues. Her work bridges computational methods with traditional social science research, offering actionable insights for policymakers, health communicators, and technology platforms.

Mike Reilleyمشاهده پروفایل

مدرس ارشد

• Data Journalism
• Digital Journalism
• AI in Media
• +۴ مورد دیگر

Mike Reilley is a Senior Lecturer in the Department of Communication at the University of Illinois Chicago (UIC), part of the College of Liberal Arts and Sciences. He specializes in data and digital journalism, teaching courses that produce content for the award-winning RedLineProject.news. Previously, he served as faculty at Northwestern University, Arizona State University, and DePaul University, and held roles as a reporter at the LA Times and founding editor of ChicagoTribune.com. Education: Bachelor of Journalism (BJ), University of Nebraska-Lincoln Master of Science in Journalism (MSJ), Northwestern University Research & Expertise: Focuses on integrating digital tools and AI into journalism education and practice. His work emphasizes training journalists in data reporting, Google News Initiative tools, and ethical AI applications. He founded The Journalist's Toolbox™ AI , a research site, and Penny Press Digital LLC, a consulting firm. Publications: Authored two books on data journalism and AI in media, with a focus on practical guides for journalists and educators. Advising & Grants: No specific grants or advisees listed, but he has trained over 12,500 journalists via digital tool workshops. His consulting work supports media outlets like USA Today. Labs & Teams: Leads the RedLineProject.news and The Journalist's Toolbox™ AI initiatives, fostering collaborative journalism and tech innovation.

Sören Auerمشاهده پروفایل

استاد

• Semantic Technologies
• Knowledge Engineering
• Data Science
• +۷ مورد دیگر

Prof. Sören Auer is the Director of the German National Library of Science and Technology (TIB) and Professor of Data Science and Digital Libraries at Leibniz Universität Hannover's Faculty of Electrical Engineering and Computer Science . With academic positions at Dresden, Yekaterinburg, Leipzig, Pennsylvania, Bonn, and Fraunhofer Society, his career focuses on semantic technologies , knowledge engineering , and Artificial Intelligence Research Data Management Open Science Knowledge Graphs . He leads the Open Research Knowledge Graph (ORKG) initiative and co-founded DBpedia and eccenca.com . His research spans data science , AI-driven knowledge representation , and digital library systems . He has supervised numerous PhD theses and final-year theses while offering courses on Knowledge Engineering Semantic Web Technologies Data Integration Scientific Data Management . The technical focus includes semantic data interlinking , neuro-symbolic AI , and contextual metadata frameworks . As a recipient of prestigious awards including ERC Consolidator Grant SWSA Ten-Year Award ESWC 7-Year Best Paper Award OpenCourseware Innovation Award , Prof. Auer has led major projects like BigDataEurope and contributes to standards in W3C , NFDI , and EOSC . His recent publications demonstrate advancements in ontology alignment , LLM-driven schema discovery , and hybrid AI systems for scholarly knowledge organization.

Rüdiger Wilhelmiمشاهده پروفایل

استاد

• Civil Law
• Commercial and Corporate Law
• Business Law
• +۳ مورد دیگر

Rüdiger Wilhelmi is a Professor at the Department of Law, University of Konstanz, focusing on civil law, commercial and corporate law, business law, and comparative law. He is also the Director of the Institute for Legal Research and Vice Rector for Academic Affairs since 2024. His research spans liability law, family and inheritance law, and Legal Tech. Professor, Department of Law, University of Konstanz (since 2010) Director, Institute for Legal Research (since 2012) Vice Rector for Academic Affairs (since 2024) Principal Investigator, Cluster of Excellence "The Politics of Inequality" (since 2019) His work emphasizes comparative legal analysis across jurisdictions like the USA, UK, and Netherlands, with a focus on patent law , financial regulation , and digitalization of law . Publications include monographs on capital maintenance in GmbH law, environmental liability, and EMIR regulation. He has contributed extensively to legal commentaries and handbooks. Wilhelmi's lectures and conferences address topics like AI liability , multi-party arbitration , and banking regulation . He co-edits volumes on legal digitalization and participates in interdisciplinary workshops on topics like "Banking beyond Banks" and "Diversity in Financial Markets".