جست‌وجوی استاد و پژوهشگر

Bente Kalsnesمشاهده پروفایل

استاد

• Political Communication
• Digital Journalism
• Disinformation Studies
• +۳ مورد دیگر

Bente Kalsnes is a Professor at the Department of Communication, Kristiania University of Applied Sciences. She specializes in political communication, digital journalism, and disinformation research. Her work focuses on social media's impact on politics, platform governance, and AI's role in information verification. Education: PhD from the University of Oslo's Department of Media and Communication. Previously worked as an Associate Professor at OsloMet and held roles in journalism and communications. Research Interests: Political use of social media, fake news, platform power, and AI ethics. Her book Fake News: Lies, Disinformation and Propaganda in the Digital Public Sphere (2019) critically examines disinformation dynamics. Grants & Projects: Co-editor of Norsk medietidsskrift (2020-2023), participant in the SCAM research project (2020-2024), and member of the Norwegian government’s Expert Group on AI and Elections (2024-2025). Expert Roles: Served on the Freedom of Expression Commission (2020-2022) and the Nordic Think Tank for Democracy and Technology (2022-2023). Publications: Contributed to New Media & Society , Digital Journalism , and co-edited the Routledge Handbook of Political Campaigning (2024). Her recent work addresses AI in fact-checking, platform policies during political events, and Nordic approaches to tech governance.

Peter Heisigمشاهده پروفایل

استاد

• Knowledge Management
• Information Science
• Organizational Knowledge Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Peter Heisig is a Professor of Information and Knowledge Management at the Department of Information Science, Potsdam University of Applied Sciences. He currently serves as Vice President for Research and Transfer (2022–2025). His academic career includes a visiting professorship at the Royal Docks School of Business and Law, University of East London (2021). He has held his professorship at Potsdam since 2015. His research focuses on knowledge management (KM) across industries, public administration, and non-profits. Core areas include KM frameworks, organizational culture, IT integration, governance, leadership, and competency development. He emphasizes KM's role in digital workspaces, gender dynamics in KM practices, and value measurement methodologies. Notable achievements include the 2010 Highly Commended Award for his groundbreaking work on global KM frameworks. His publications span peer-reviewed journals and conference proceedings, addressing topics like KM in Industry 4.0, fake news detection, and cross-cultural KM challenges. He actively contributes to international research networks and has authored numerous guidelines for KM implementation in SMEs and public sectors. Prof. Heisig's work bridges theory and practice through frameworks like GPO-WM® (business process-oriented KM) and has advised multinational corporations such as IBM Global Services. His research highlights KM's evolving role in sustainable organizational growth and societal challenges.

• US Electoral Systems
• National Security Policy
• Official Records and Democracy
• +۲ مورد دیگر

Peter Finn serves as Senior Lecturer and Events Officer in the Department of Criminology, Politics and Sociology at Kingston University's School of Law, Social and Behavioural Sciences. With over a decade of teaching experience at Kingston and Goldsmiths, University of London, he holds a PhD and MSc from Kingston University alongside a BA from Liverpool University. His research centers on the intersection of national security and human rights, particularly examining the logic underpinning policies at this nexus. Key interests include US electoral systems, the relationship between national security and official records, executive power (especially the US presidency), and the impact of generative AI on political processes. Finn actively investigates how democratic oversight functions within security frameworks and analyzes electoral dynamics through projects like '50 States or Bust!' Finn's scholarly impact spans 15+ recent publications analyzing 2024 US elections, Trump-era politics, and AI's role in democracy. His work reveals consistent focus on election integrity, historical documentation of political events, and emerging challenges from artificial intelligence in political communication. Notable patterns include real-time analysis of electoral developments and critical examination of official record-keeping during crises. As Project Lead for the 'Covid-19 and Democracy Project' and Web Lead for the American Politics Group of the Political Studies Association, Finn bridges academic research with public engagement. His media contributions to The Guardian, The Conversation, and LSE USAPP demonstrate significant knowledge transfer. Academic leadership includes managing module teaching teams, research assistants, and editorial roles for edited volumes on national security and democracy. Finn also serves as Academic Misconduct Lead and holds Fellowships from the Higher Education Academy.

Edith Huberمشاهده پروفایل

پژوهشگر

• Cybercrime
• Cybersecurity
• Digital Forensics
• +۳ مورد دیگر

Mag. Dr. Edith Huber serves as the Head of the Office for Research Services at the University for Continuing Education Krems. Her work focuses on cybersecurity, cybercrime analysis, and digital forensics. She has led several research projects, including investigations into cyberstalking, smart home vulnerabilities, and hate speech on social media. Her interdisciplinary approach bridges criminology, technology, and policy. Huber has authored influential publications on topics such as cybercrime victimization, fake news, and human trafficking prevention. She is actively involved in developing cybersecurity strategies and collaborates with institutions like the FFG and ÖAW. Her research emphasizes practical solutions for digital safety and ethical use of technology. Key Projects: CERT-Kommunikation II, Cyberstalking-Verhalten, Smart Home Security Analysis Research Themes: Cybercrime Dynamics, IoT Security, Digital Forensics, Social Media Risks Her contributions include creating guidelines for secure social media use and advancing methodologies for detecting cybercriminal behavior. Huber also addresses challenges in cert-communication and GDPR compliance for cybersecurity teams.

Mohammad Yousufمشاهده پروفایل

دانشیار

• Computational Journalism
• Misinformation Studies
• Data Journalism
• +۶ مورد دیگر

Mohammad Yousuf is an Associate Professor in the Department of Communication and Journalism at the University of New Mexico (UNM), where he teaches courses in computational text analysis, data tools for media professionals, and journalism ethics. He holds a Ph.D. from the University of Oklahoma (2016) and has established himself as an interdisciplinary scholar bridging journalism, computer science, and data analytics. Dr. Yousuf's research focuses on the intersection of journalism practices, misinformation studies, and computational methods. His work examines how news organizations can maintain quality and financial independence while meeting 21st century audience needs, with particular attention to the creation and dissemination of misinformation. He employs interdisciplinary and multimethod approaches, collaborating with scholars from computer science and business disciplines. His research spans computational text analysis, AI applications in journalism, and the ethical implications of data-driven media practices. His publication record demonstrates a strong trajectory in computational journalism, with recent work exploring AI-generated content, social media analysis, fact-checking systems, and the impact of digital platforms on news ecosystems. His research appears in top journals including Journalism & Mass Communication Quarterly , Journalism Practice , and Journal of Media Ethics , as well as interdisciplinary venues like Proceedings of the ACM on Human-Computer Interaction and the World Wide Web Conference . 2022 SWECJMC Educator Award Seven top paper awards from various conferences Editorial board member for Newspaper Research Journal Research co-chair of Media Management, Economics and Entrepreneurship Division, AEJMC Dr. Yousuf has secured grant funding to support undergraduate research assistants and has taken students to conferences including the Computation+Journalism symposium and IRE conference. He has developed multiple courses incorporating data and computation into journalism curricula and served as faculty advisor for student organizations. In summer 2022, he taught a pre-conference workshop on computational text mining at the Association for Education in Journalism and Mass Communication conference with participants from universities in multiple countries. Dr. Yousuf actively engages with the community beyond academia, serving on the advisory panel of the New Mexico Local News Fund and volunteering as a newsletter consultant for a nonprofit news organization. His dedication to preserving local news reflects his belief that declining local journalism contributes to rising misinformation and eroding democratic principles.

• Machine Learning
• Biomedical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Yrd. Doç. Dr. Ghazaal Sheikhi is an Assistant Professor in the Department of Artificial Intelligence Engineering at Final University, within the Faculty of Engineering. Her research focuses on machine learning applications in healthcare, biomedical engineering, and natural language processing. She holds a Ph.D. in Computer Engineering from Eastern Mediterranean University (2020), an M.Sc. in Biomedical Engineering from Amirkabir University of Technology (2007), and a B.Sc. in Biomedical Engineering from the University of Isfahan (2003). Education: Doctoral Degree in Computer Engineering, Eastern Mediterranean University, North Cyprus (2020) Master's Degree in Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (2007) Bachelor's Degree in Biomedical Engineering, University of Isfahan, Isfahan, Iran (2003) Her research interests span Machine Learning, Biomedical Engineering, and Natural Language Processing. She specializes in applying deep learning techniques to medical image analysis, developing explainable AI models for healthcare diagnostics, and enhancing fact-checking systems using NLP. Her work in biomedical data analysis focuses on feature selection methods and predictive modeling for diseases like diabetes. Additionally, she explores speech processing techniques for language-specific challenges, such as Farsi syllable segmentation using signal processing and fuzzy logic approaches. Recent contributions include breast tumor segmentation (2025), NLP-based claim detection (2023), and novel feature selection methods (2021). Earlier work addressed speech signal analysis (2011–2013) and diabetes cost analysis (2016). Scientific Awards: No awards explicitly mentioned in the provided text. Advising & Grants: Information on students or grants is not provided in the text. Administrative tasks are listed but no details are given. Labs/Teams: No specific lab affiliations or teams mentioned.

Naeemul Hassanمشاهده پروفایل

دانشیار

• Big Data
• Data Science
• Database
• +۱۲ مورد دیگر

Dr. Naeemul Hassan is an Associate Professor at the Philip Merrill College of Journalism and the College of Information Studies at the University of Maryland, with an affiliate appointment in the Department of Computer Science. He directs the Computational Journalism Lab and focuses on Big Data, Data Science, and Natural Language Processing, particularly in areas like Computational Journalism, Social Sensing, and Misinformation Detection. His research includes developing technologies such as BaitBuster and ClaimBuster to aid fact-checking and combat misinformation. Previously, he was an Assistant Professor at the University of Mississippi and earned his Ph.D. in Computer Science from the University of Texas at Arlington (2016). Education: Ph.D. in Computer Science, University of Texas at Arlington (2016). Research Interests: His work spans automated fact-checking, health information credibility, and social media analysis. Key projects include analyzing misinformation in health contexts (e.g., TikTok, Reddit), detecting misleading headlines, and exploring AI-driven solutions like LlamaLens for multilingual news analysis. He also examines societal impacts of digital platforms in contexts like Bangladesh and the U.S. Lab and Collaborations: Directs the Computational Journalism Lab and collaborates with the Computational Linguistics and Information Processing (CLIP) Lab and the Human-Computer Interaction Lab (HCIL). Recent grants include SaTC: CORE funding for BaitBuster 2.0 and RAISE support for a Credible Open Knowledge Network. Grants and Projects: Notable funding includes NSF grants for misinformation research and collaborative projects on clickbait mitigation and health information systems. Currently, he is not accepting new Ph.D. students. His work bridges computer science, journalism, and public health, emphasizing ethical AI applications and societal impacts of digital media.

Ihab F. Ilyasمشاهده پروفایل

استاد

• Data Quality
• Machine Learning
• Database Systems
• +۴ مورد دیگر

Ihab F. Ilyas is a Professor and holds the Thomson Reuters–NSERC Industrial Research Chair in Data Quality at the University of Waterloo's Department of Computer Science. His research focuses on data quality, machine learning for data enrichment, probabilistic data management, and knowledge graph systems. He leads projects like Holoclean (a probabilistic data repair system) and Data Civilizer (a data unification platform). His work bridges database systems and machine learning to address challenges in data integration, error detection, and large-scale knowledge representation. Education: PhD in Computer Science from Purdue University (2004), MSc and BSc from Alexandria University, Egypt (1999 and 1995). His publications span vector search, knowledge graph construction, and data curation techniques, with recent emphasis on adaptive indexing and scalable systems. He has contributed to open-source tools and frameworks for data cleaning and machine learning integration. Research interests include probabilistic data management, machine learning applications for data quality, and scalable systems for big data. His work often addresses real-world challenges in data integration and semantic representation, with a focus on practical, deployable solutions.

Ehsan Dehghanمشاهده پروفایل

مدرس ارشد

• Social Media Studies
• Political Communication
• Digital Media and Democracy
• +۴ مورد دیگر

Dr. Ehsan Dehghan is a Senior Lecturer in Digital Media at the School of Communication, Queensland University of Technology (QUT), and a Chief Investigator at the Digital Media Research Centre (DMRC). He holds a PhD in Digital Media from QUT (2020) and has expertise in Discourse Studies and Philosophy. His research focuses on the intersection of social media and democracy, employing mixed-methods approaches combining social media analytics, network analysis, corpus linguistics, and discourse theory. Education: PhD in Digital Media (QUT, 2020) Background: Discourse Studies, Philosophy Research Themes: Polarization dynamics, political discussions on social media, fake news, information flows, discursive struggles His work investigates polarization in the Australian Twittersphere, including case studies on immigration discourse, 'fake news', and platform-driven information dynamics. He has contributed to projects like the Disinformation Risk Assessment of Australia's online news market and studies on alt-tech ecosystems (e.g., Gab Social). Dr. Dehghan collaborates with institutions like the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). He actively supervises PhD candidates exploring topics such as digital publics, online radicalization, and platform governance. His affiliations include the DMRC and the Association of Internet Researchers (AoIR). Labs/Teams: Digital Media Research Centre (DMRC), QUT.

• Data Management
• Information Retrieval
• Machine Learning
• +۳ مورد دیگر

Moritz Staudinger is a PreDoc Researcher at the Data Science department of Technische Universität Wien . His research focuses on reproducibility in machine learning and information retrieval, with particular emphasis on query generation, data citation, and evolving database schemas. Current projects: FAIR-AI (2024–2026) , HumRec (2021–2025) , and DoSSIER (2019–2024) Collaborations: Works with Andreas Hanbury , Andreas Rauber, and others Research interests include large language models for scientific applications, temporal information retrieval, and FAIR data principles. His recent publications examine reproducibility challenges across machine learning, systematic literature reviews, and environmental data management. Supervisions : Mentors students working on topics like data sovereignty, multilingual fact-checking, and quality indicators for data management plans. Collaborates on the DBRepo semantic repository framework.

Javier Serrano Pucheمشاهده پروفایل

دانشیار

• Journalism
• Political Communication
• Media Trust
• +۱۲ مورد دیگر

Javier Serrano Puche is Associate Professor of Journalism and Vice Dean of Faculty at the School of Communication, University of Navarra, where he is also affiliated with the Department of Public Communication. He conducts research within the Digital News Media Research Group and co-leads the Journalism, Political Communication and Democracy (PerComPolDem) research group. He has been a Visiting Fellow at the London School of Economics (LSE) under the José Castillejo Program. His research focuses on media trust, digital misinformation, news consumption, emotional dynamics in the public sphere, and digital literacy. He employs both qualitative and quantitative methodologies, often using large datasets such as the Digital News Report and Edelman Trust Barometer. His work explores how ideology, platform affordances, and political discourse shape public perceptions of journalism and trust in media. His recent publications analyze disinformation in Southern Europe, fact-checking effectiveness, politainment on YouTube, and the role of emotions in news avoidance. He has developed comparative frameworks for digital literacy and examined audience perceptions of journalistic roles in fictional media like The Newsroom . He has been awarded two six-year research periods (2007–2012, 2013–2018) by the Spanish National Evaluation Commission for Research Activity (CNEAI), recognizing sustained research excellence. He serves on the editorial boards of Communication & Society , Studies in Media and Communication , and Review of Communication Research , and is a member of the Spanish Society of Journalism (SEP) and the Spanish Association for Communication Research (AE-IC). Javier Serrano Puche has not publicly listed any advisees or students. His work is supported by institutional affiliations and research grants implicit in his CNEAI recognition. He leads and contributes to interdisciplinary research teams focused on journalism, democracy, and digital media. He is actively involved in shaping digital literacy frameworks and media quality standards, having conducted Delphi studies with over 200 European experts. His future research is likely to continue exploring the intersection of emotion, disinformation, and democratic discourse in digital environments.

Federico Costantiniمشاهده پروفایل

دانشیار

• Data Protection
• AI Ethics
• Digital Security Law
• +۴ مورد دیگر

Federico Costantini is an Associate Professor at the Department of Legal Sciences , University of Udine, where he teaches Legal Informatics and Digital Security Law . He serves as an ad interim Data Protection Officer (2018–2019) and is currently a member of two ethics committees: DI4A and DMIF . Research Interests : Data Protection, AI Ethics, Legal Informatics, IoT Forensics, and Distributed Ledger Technology (DLT). Key Projects : Distributed Ledger Technology Working Group , GDHRNet COST Action , and the Truthster initiative against disinformation. Article Trends : His publications focus on intersections of law and technology, particularly GDPR compliance, IoT forensic challenges, AI ethics, and blockchain applications. Labs & Teams : Collaborates with the Artificial Intelligence Laboratory for Human-Robot Collaboration and the Research Laboratory for New Media Normativity .

Stefan Herzogمشاهده پروفایل

پژوهشگر

• Decision-Making
• Artificial Intelligence
• Collective Intelligence
• +۶ مورد دیگر

Stefan Herzog is a Senior Research Scientist and Head of the Research Area Boosting Decision-Making at the Max Planck Institute for Human Development in Berlin. He leads interdisciplinary projects integrating psychology, artificial intelligence, and computational social science to address global challenges like misinformation, climate change, and AI's societal impact. PhD in Psychology (2009, University of Basel) M.Sc. in Psychology (2005, University of Basel) B.Sc. in Psychology (2003, University of Basel) His research focuses on boosting human decision-making through: Hybrid human-AI collective intelligence Strengthening resilience against disinformation Behavioral interventions in digital environments Transparent, non-manipulative policy design Self-nudging strategies Methodological innovation in social science Recent publications emphasize AI ethics , digital sovereignty , and democratic resilience . He has secured significant funding from the EU Horizon program, DFG, and Volkswagen Stiftung. Scientific recognition includes the Hillel Einhorn New Investigator Award (2010).

Carlos Toural Branمشاهده پروفایل

استاد

• Digital Journalism
• New Media Studies
• Media Automation
• +۳ مورد دیگر

Carlos Toural Bran is a Professor in the Department of Communication Sciences at the University of Santiago de Compostela, affiliated with the Faculty of Communication Sciences and the Institute of Studies and Development of Galicia (IDEGA). He holds a doctoral degree from the same university, with a thesis on sports information in Spanish media (2013). His research focuses on digital journalism, media automation, participatory journalism, and virtual reality in media. He has collaborated with institutions like the Ministry of Economy and Competitiveness, Spain. Research Interests: Automated content generation using AI and algorithms Mobile journalism and user participation via digital platforms Cybermedia evolution and methodology Impact of virtual reality on media ecosystems Data-driven journalism and database utilization Articles Trends: His work spans automated journalism, mobile device-driven participation, and methodological frameworks for interactivity. Recent studies include fact-checking trends, information visualization in risk communication, and the role of databases in modern journalism. Labs/Teams: Active in IDEGA and collaborates with the New Media Research Group at his university.

Varun Chandrasekaranمشاهده پروفایل

استادیار

• Computer Security
• Privacy Engineering
• AI Ethics and Governance
• +۳ مورد دیگر

Varun Chandrasekaran is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois' Grainger College of Engineering. His research focuses on computer security, privacy, and information trust, with a growing emphasis on AI ethics and governance. He teaches courses including Computer Security I & II (CS 461/463) and Advanced Topics in Security, Privacy, and Machine Learning (CS 562). His work addresses critical challenges in generative AI security, adversarial machine learning, and privacy-preserving technologies. Dr. Chandrasekaran's research highlights include analyzing risks of AI models like OpenAI's Strawberry, advocating for transparent AI development, and proposing solutions like machine unlearning frameworks (e.g., Amun). His contributions span theoretical advancements and practical applications, such as secure code translation and watermarking defenses. He emphasizes peer-reviewed security practices over proprietary solutions, aligning with cryptographic principles for reliability. Recent projects explore multimodal data curation (MM-GEN), bias mitigation in LLMs, and automated benchmarking (Benchagents). His work bridges academic research with real-world cybersecurity needs, addressing threats from adversarial actors exploiting AI capabilities. Chandrasekaran frequently collaborates with industry and policy experts to shape ethical AI frameworks and standards.