جست‌وجوی استاد و پژوهشگر

Dawn Sarnoمشاهده پروفایل

استادیار

• Applied Visual Cognition
• Cybersecurity
• Human Factors
• +۳ مورد دیگر

Dr. Dawn Sarno is an Assistant Professor in the Department of Psychology at Clemson University, serving as Director of the AVANT Lab. She holds a PhD in Human Factors and Cognitive Psychology from the University of Central Florida (2020), an MA from the same institution (2018), and a BS from Bridgewater State University (2015). Her research focuses on applied visual cognition, cybersecurity, aging, and training interventions. She teaches courses such as Cognitive Psychology (PSYC 3330) and Advanced Human Factors (PSYC 8350). The AVANT Lab specializes in visual attention techniques (e.g., eye tracking) to study human performance in cybersecurity, radiology, and baggage screening. Current projects include developing the IMPAWSTER game for phishing resilience and investigating 3D displays' impact on visual cognition. The lab is equipped with an SR Research Eyelink Portable Duo for high-precision eye-tracking studies. Research Themes: Cybersecurity deception detection, aging populations' cognitive resilience, and visualization technology applications Lab Team: Supervises undergraduate and graduate students in multi-disciplinary projects Key Collaborations: Partnerships with cybersecurity organizations and healthcare institutions Her work addresses real-world challenges like improving phishing defenses and enhancing radiological scan interpretation through cutting-edge human factors research.

Graham M. Jonesمشاهده پروفایل

استاد

• Cultural Anthropology
• Linguistic Anthropology
• Digital Communication
• +۴ مورد دیگر

Graham M. Jones is a Professor of Anthropology at MIT, affiliated with the School of Humanities, Arts, and Social Sciences. He holds roles as SHASS Undergraduate Education Liaison and Margaret MacVicar Faculty Fellow. His research focuses on cultural and linguistic anthropology, particularly exploring how language and media shape knowledge and belief systems. Jones earned a BA in Literature from Reed College (1998) and a PhD in Anthropology from New York University (2007), followed by a postdoctoral fellowship at the Princeton Society of Fellows (2007-2010). Key research areas include magic as a cultural microcosm, digital communication, and the anthropology of science. Notable works are Trade of the Tricks: Inside the Magician's Craft (2011) and Magic's Reason: An Anthropology of Analogy (2017). He investigates topics like AI ethics, online discourse, and the intersection of technology with cultural practices. Teaching highlights include courses such as The Meaning of Life , Magic, Science, and Religion , and Teaching and Learning . Jones emphasizes hands-on ethnographic methods and has been recognized with awards like the MacVicar Fellowship (2019) and Edgerton Award (2013). His work bridges philosophical inquiry with empirical research, addressing modern challenges like misinformation and cultural diversity. Awards: MacVicar Fellow, Edgerton Award, Princeton Postdoctoral Fellowship Grants: Undisclosed institutional support for research projects Labs/Teams: Collaborates with MIT’s Anthropology department and interdisciplinary tech studies groups

• Public Health
• Digital Medicine
• Radiculopathy
• +۷ مورد دیگر

Ronald Buyl is a Guest Professor at the SOMT University of Physiotherapy since October 2010, actively contributing to research in public health, digital medicine, and musculoskeletal disorders. His work focuses on pain management (especially lumbar radiculopathy), telemedicine, and interprofessional education in healthcare. He leads projects addressing aging populations, drug resistance in tuberculosis, and digital literacy for adults. Research Interests: Pain Neuroscience Education - Developing interventions to improve surgical outcomes for lumbar radiculopathy patients Gerontology - Co-leading the Gerontopole Brussels initiative for healthy aging Digital Health - Evaluating technologies for older adults and caregivers through projects like InfoReady Systematic Reviews - Analyzing fear avoidance beliefs in spinal surgery outcomes Recent Article Trends: His 2025 works emphasize maternal mental health during childbirth, midwifery education collaboration, and paternal perinatal depression awareness. Earlier studies (2022-2024) focus on lumbar radiculopathy treatment efficacy and genetic studies of drug-resistant tuberculosis. Grants & Projects: Currently involved in 6 funded projects including EU-funded InfoReady (digital literacy) and the Gerontopole Brussels (healthy aging). Supervised 12 academic works, including RCTs on pain education and pandemic pregnancy experiences. Labs/Teams: Collaborates with multidisciplinary teams on datasets like B2aSic (lumbar radiculopathy trials) and contributes to international networks in tuberculosis research through projects like FWOTM1083.

• Information Literacy
• Health Sciences Librarianship
• Scholarly Communication
• +۳ مورد دیگر

Candace K. Vance serves as a Lecturer in the University Libraries - Public Services department at Murray State University's University Libraries. Her professional focus centers on bridging information science with health sciences education through innovative instructional methods. Her research interests emphasize practical applications of information literacy in critical contexts: Developing evidence-based critical reading frameworks for health sciences students Analyzing infodemic management strategies during public health crises Integrating social media platforms into academic library services Advocating for open access through faculty collaboration initiatives Examining ethical dimensions of information access and censorship Vance's publication record demonstrates consistent engagement with evolving information landscapes, particularly focusing on health sciences education challenges. Her work shows increasing specialization in infodemic response strategies since 2016, with recent publications addressing pandemic-era information challenges through retracted article analysis and evidence evaluation frameworks. Earlier work established foundational approaches to social media integration and scholarly communication advocacy. Her collaborative projects with colleagues like Elizabeth Price and Rebecca Richardson highlight cross-departmental teamwork in advancing library services. Notable contributions include pioneering Pinterest-based reference systems and campus-wide open access education initiatives.

Shuo Niuمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Video-Sharing Platforms
• +۴ مورد دیگر

Dr. Shuo Niu is an Assistant Professor in Computer Science at Clark University, specializing in human-computer interaction and social computing. His research focuses on analyzing collaborative and community activities on video-sharing platforms like YouTube and TikTok, with particular interest in socio-technical infrastructure, mental health implications, and AI algorithm impacts. Ph.D. in Computer Science, Virginia Tech (2019) B.S. and M.E. in Computer Science/Digital Media, Shandong University (2012-2013) His research employs machine learning, natural language processing, and crowdsourcing to analyze vast video datasets, investigating creator-fan dynamics, misinformation patterns, and platform design ethics. Recent work includes studies on substance abuse misinformation, disability disclosure, and generative AI in content creation. Dr. Niu has published at top-tier conferences including ACM CHI, CSCW, and GROUP. Current projects examine racism/racial movements, mental health support mechanisms, and socio-technical aspects of video-sharing platforms. He received multiple grants including the NEBHE North Star Fellowship and Clark University Academic Innovation Fund. Faculty Development Award, Clark University (2025) Professor David A. Stevens Fund (2025) LEEP Student Fellows Grant (2022) Academic Innovation Fund (2022) NEBHE North Star Fellowship (2022) He teaches courses in web development, mobile software development, data science, and computing fundamentals, emphasizing hands-on learning and real-world applications. Dr. Niu previously worked at Virginia Tech's Center for Human-Computer Interaction and has advised on multiple research projects.

Nicola Capuanoمشاهده پروفایل

دانشیار

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

Nicola Capuano is an Associate Professor at the Department of Information and Electrical Engineering and Applied Mathematics (DIEM) of the University of Salerno, Italy. He is a member of the SmartLearn research group at the Open University of Catalonia and has previously held academic roles at the University of Basilicata and technical positions at the University of Salerno. Current positions: Associate Professor (University of Salerno) since 2023 Former Associate Professor (University of Basilicata, 2022-2023) Former Researcher (University of Basilicata, 2019-2022) His research focuses on machine learning applications in education, including Artificial Intelligence for Education , Natural Language Processing , and Fuzzy Systems . He has pioneered zero-shot vulnerability detection using LLMs and developed novel graph-based approaches for misinformation analysis. Key projects include the ALICE adaptive learning system and SmartLearn research initiatives. Scientific contributions span 15+ peer-reviewed publications in IEEE, Springer, and Elsevier outlets. Recent work examines persuasive comment detection in social media and optimization techniques in fuzzy genetic algorithms. Best Paper Award recipient (2017) 2nd Best Paper Award (2008) Editorial roles: Associate Editor for 3 journals since 2019 Active in academic service, he chairs conference tracks (INCoS, AINA) and serves as independent evaluator for Horizon Europe projects. His teaching portfolio includes Software Engineering, Algorithms, and AI applications.

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Can Wang is a Senior Lecturer in Computer Science at Griffith University's School of Information and Communication Technology on the Gold Coast Campus, Australia. She has held this position since January 2020, having previously served as a Lecturer at the same institution from May 2017. Dr. Wang is a member of the Institute for Integrated and Intelligent Systems (2018-2024) and has extensive academic experience including a Postdoctoral Fellowship at Data61, CSIRO (2014-2016) and a Research Associate position at the University of Technology Sydney (2013). PhD in Computer Science from University of Technology Sydney, Australia (2009-2013) Master of Science from Wuhan University, China (2007-2009) Bachelor of Science from Wuhan University, China (2003-2007) Dr. Wang's research focuses on designing models and algorithms for heterogeneous and interdependent behavioral data to make predictions and recommendations. Her work aims to propose new frameworks and theories in data mining and machine learning while applying AI and big data analytics to multidisciplinary domains including social media, tourism, drug discovery, hospital admission, and medical mining. She has published over 80 high-quality publications with real applications and deployments. Her recent publications (2023-2025) demonstrate a strong focus on heterogeneous network analysis, recommendation systems (particularly point-of-interest recommendations), fake news detection, and the integration of Large Language Models with traditional recommendation approaches. Her work spans both theoretical advancements in machine learning algorithms and practical applications across healthcare, social media, and tourism domains, showing her commitment to bridging the gap between academic research and real-world problems. Dr. Wang actively supervises doctoral students, serving as Principal Supervisor for projects related to Large Language Models analysis, multi-media data summarization, and point-of-interest recommendation systems. She also serves as PROGRAM DIRECTOR for the Graduate Certificate in Data Science, Master of Data Science, and Master of Information Technology programs, and as PROGRAM ADVISOR for multiple undergraduate and graduate programs including various Bachelor of Science combinations and Cyber Security certificates. Her funded research includes significant projects such as the NSF-CSIRO collaboration on 'Towards Interpretable and Responsible Graph Modeling for Dynamic Systems' (2024-2027), multiple Griffith Sciences Advancing Women's Research Success Grants (2021-2024), and projects focused on patient readmission prediction, social media analysis during pandemics, and tourism market analysis in Queensland.

• Political Communication
• Network Analysis
• Digital Extremism
• +۳ مورد دیگر

Harald Sick is a Researcher at the Institute of Journalism, Johannes Gutenberg University Mainz, affiliated with the Chair of Political Communication led by Prof. Dr. Marcus Maurer. Concurrently, he serves as a Research Associate for Network Analysis at the Institute for Democracy and Civil Society (IDZ), contributing to the project "Network against Online Hate and Disinformation." His work is supported by the DFG project "Identification and Classification of Radical and Extremist Actors on Telegram." He holds a degree in Political Science from Friedrich-Alexander University Erlangen-Nuremberg (2005–2011) and has pursued doctoral studies at Goethe University Frankfurt since 2015, focusing on lobbying influence in EU legislative processes. His research specializes in: Political communication dynamics, particularly right-wing extremism in digital spaces Computational methods including (discourse) network analysis, Graph Neural Networks, and LLMs Cross-platform strategies of extremist communities (e.g., Telegram, YouTube) Monetization of online hate speech and AI-driven radicalization His publications reveal a consistent focus on digital extremism, disinformation ecosystems, and computational social science. Recent works analyze generative AI in hate networks, meme-based radicalization, and economic incentives for extremist content. Trends indicate deep expertise in network statistics, crisis exploitation by extremists, and multi-platform discourse manipulation. He collaborates with interdisciplinary teams (e.g., Machine Against the Rage research collective) and maintains freelance roles in political data analysis. No advising activities or scientific awards are documented.

• Artificial Intelligence
• Computational Social Science
• Misinformation and Disinformation
• +۵ مورد دیگر

Francesco Pierri is an Assistant Professor in the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. He is affiliated with Indiana University Bloomington’s Observatory on Social Media (OSOME) and was previously a Visiting Scholar at the University of Southern California’s Information Sciences Institute. Research Focus: His work sits at the intersection of Artificial Intelligence and Computational Social Science, specializing in building trustworthy and safe AI systems. He employs data-driven computer and network science methods to investigate large-scale online phenomena, particularly how generative AI reshapes digital information ecosystems. Core research themes include mitigating AI-amplified misinformation/disinformation risks and developing frameworks to enhance platform safety, accountability, and integrity. Publication Trends: Recent work (2024-2025) reveals intense focus on societal impacts of generative AI, including conspiracy theory propagation on TikTok, AI’s role in information disorders, cultural bias in language models, and hate speech dynamics in political discourse. Key methodological threads involve network analysis, behavioral experiments with LLMs, and computational epidemiology models linking misinformation to real-world harm. Scientific Recognition: National Scientific Habilitation in 09/H1 – Sistemi di Elaborazione delle Informazioni (II Fascia) (March 2025) Academic Service & Mentoring: Pierri actively mentors Master’s students at Politecnico di Milano in LLM applications, social media integrity, and computational social science. He serves on program committees for premier conferences (ICWSM 2022-2025, The Web Conference 2024-2025, CIKM 2022-2025) and co-organizes specialized workshops like CySoc and RisksGenAI. His editorial roles include Associate Editor for EPJ Data Science and PLoS One, plus Guest Editor for ACM Transactions on Intelligent Systems and Technology special issues. Research Infrastructure: He operates within Politecnico di Milano’s Data Science Lab (DEIB) while maintaining active collaboration with OSOME. Pierri coordinates the Lake Como School of Advanced Studies’ Ph.D. program on Computational Social Science and co-leads the XJTU-Polimi Joint School of Design and Innovation’s data science curriculum.

Kaicheng Yangمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Social Bots
• Misinformation
• +۴ مورد دیگر

Kaicheng Yang is a postdoctoral researcher at Northeastern University , with an upcoming transition to Assistant Professor in the Department of Computer Science at Binghamton University in Fall 2025. His work bridges computational social science, AI ethics, and platform governance. Education: Ph.D. in Informatics from Luddy School of Informatics, Computing, and Engineering , Indiana University Bloomington His research investigates malicious information manipulation through social bots, algorithmic biases, and generative AI misuse, developing countermeasures for trustworthy online ecosystems. Recent publications explore domain-sharing patterns , news source credibility , and AI-generated social media fraud across journals like Scientific Data , PNAS , and Journal of Online Trust and Safety . Awarded Best Paper - Honorable Mention at the International AAAI Conference on Web and Social Media, Yang also contributes to open-source tools such as the LLM Domain Classification dashboard and Botometer X. His work has received media coverage from Wired , Forbes , and MIT Technology Review .

• Public Policy
• Political Science
• Governance
• +۳ مورد دیگر

Veli Kreci is a Full Professor at the Faculty of Contemporary Social Sciences, South East European University (SEEU), and serves as Director of the Max van der Stoel Institute at the same university since 2018. With over two decades of experience in education and policy research, he has held academic and leadership roles including Vice Dean for Postgraduate Studies (2010-2013) and Adjunct Professor at Seattle University (2019). His career spans teaching, research, and project management in public administration, policy analysis, and digital governance. Ph.D. in Political Sciences (Policy Analysis) from SEEU Master of Public and International Affairs from University of Pittsburgh Post-Doctoral Fellow (Fulbright Scholar Program) at Middlebury Institute of International Studies Bachelor in International Relations from Istanbul University Kreci's research focuses on public policy implementation, governance reform, digital society challenges, and sustainable development. His recent work examines disinformation in elections, Roma community integration, merit-based hiring systems, and cross-border cooperation in the Balkans. Publications span policy studies, digital education, and institutional governance. His 15 most recent articles (2016-2025) address topics like policy research utilization, digitalization of society, SDG implementation, and regional cooperation. Despite extensive contributions, the text does not mention specific scientific awards or student supervision roles. He also contributed to curriculum reform projects and civic education initiatives in Macedonia.

Leonora Onarheim Bergsjøمشاهده پروفایل

دانشیار

• Digital Ethics
• Artificial Intelligence
• Big Data
• +۷ مورد دیگر

Leonora Onarheim Bergsjø is an Associate Professor at Inland Norway University of Applied Sciences, specializing in digital ethics, artificial intelligence, and interdisciplinary research. She teaches digital judgment, ethics, and religious studies in teacher education programs, while also serving as a guest lecturer at institutions like the University of Oslo and MF University College. PhD from the University of Oslo Editor of 'Sensoriness and Transcendence: Perceptions, Revelations, and the Arts' (Brill, 2015) Author of 'Religious Citizenship: Disability, Equality and Human Perspectives' (Cappelen Damm, 2020) Her research focuses on ethical risk assessment of AI applications (ENACT project), e-health innovations (eCardiacRehab), and digital security frameworks. She leads the Norwegian Council for Digital Ethics (NORDE) and contributes to policy-making for authorities like the Ministry of Education and the Norwegian Institute of Public Health. Recent publications address algorithmic bias, ethical AI implementation, and metaverse ethics. She has received recognition for academic outreach, including a 2022 nomination for HiØ's Dissemination Award. Collaborates with international institutions on AI ethics Develops digital competence frameworks for kindergarten teachers Provides expert commentary on AI governance in media

• Learning Health Systems
• Health Policy
• Stakeholder Engagement
• +۲ مورد دیگر

Sarah Mantwill, PhD, serves as Research Director of the Competence Center for Learning Health Systems at the Faculty of Health Sciences and Medicine, University of Lucerne, and concurrently holds the position of Head of Dialogue while serving on the Steering Committee of Smarter Health Care, a national network under the Swiss School of Public Health (SSPH+). Her educational foundation includes a PhD in Communication Sciences with Health Communication focus and an MSc in Communication and Economics, both from the University of Lugano. She augmented this with postdoctoral training at Harvard T.H. Chan School of Public Health and Dana-Farber Cancer Institute (2016–2017). Mantwill's research pioneers Learning Health Systems as dynamic frameworks for healthcare improvement through continuous evidence-practice cycles. She specializes in evidence-informed policy development and participatory methodologies, particularly co-creation processes that bridge policymakers, researchers, clinicians, and citizens to address systemic health challenges. Her work spans health equity, stakeholder engagement, and health literacy with strong emphasis on real-world implementation. Analysis of her publication trajectory reveals consistent dedication to Swiss health system innovation, with growing emphasis on co-creation methodologies, health equity integration, and Learning Health Systems applications across domains like vaccination, palliative care, and pandemic response. Her work consistently bridges academic research and practical policy implementation. Her leadership manifests through directing the university's Competence Center for Learning Health Systems and shaping national discourse via Smarter Health Care, where she facilitates critical connections between research, policy, and practice to drive measurable healthcare improvements in Switzerland.

Darius Bufneaمشاهده پروفایل

دانشیار

• Web Programming
• Web Security
• Parallel and Distributed Computing
• +۵ مورد دیگر

Darius Bufnea is an Associate Professor at the Department of Computer Science, Faculty of Mathematics and Computer Science, Babeş-Bolyai University in Cluj-Napoca, Romania. His academic address is at No. 1 Mihail Kogalniceanu Street, RO-400084 Cluj-Napoca. He teaches various courses including Web Programming, Security Protocols in Communications, Web Security and Internet, Web Traffic Control, and Operating Systems for Parallel and Distributed Architectures. Dr. Bufnea's research spans multiple domains within computer science, with a strong focus on parallel and distributed computing systems. His work explores innovative frameworks like PowerList-based programming models and their implementation in Java. He has made significant contributions to web security research, particularly in detecting and measuring scraper sites and clickbait content. His research bridges theoretical computer science with practical applications in web technologies and parallel programming paradigms. His publication record shows a consistent trajectory of research in parallel computing frameworks, with recent work expanding into web security and content analysis. The trend indicates a progression from foundational parallel programming models toward applied research in web technologies, security, and educational approaches for teaching complex computing concepts. His work on measuring "scrappiness level" of websites represents an innovative approach to quantifying web spam and content duplication issues. Dr. Bufnea actively engages with students through undergraduate and dissertation thesis supervision, with specific research topics available through university channels. His teaching philosophy emphasizes hands-on learning, as evidenced by detailed laboratory assignments covering web technologies from HTML/CSS to advanced JavaScript and server-side programming.

• Media and Journalism
• Journalism and Disciplinary Boundaries
• Digital Narratives
• +۷ مورد دیگر

Audrey Alves is a full-time Lecturer and researcher at the Centre de Recherche sur les Médiations (CREM) within the University of Lorraine. She is co-head of the Praximedia research team since 2020 and serves as Head of further studies for the University Diploma in Multimedia and Internet Professions at IUT Nancy-Charlemagne. Her work bridges Media and Journalism Studies with a focus on narrative journalism, literary reportage, and the role of testimony in conflict coverage . Key research themes: media coverage of conflicts, digital narratives, literary journalism Teaching leadership: Directed accreditation processes for professional licenses Administrative roles: Elected member of Crem unit council Research Contracts include major projects like Testimonial Careers (20th/21st-century conflict witness studies) and November 13 Program (national security memory projects). She actively participates in scientific committees for international conferences on topics ranging from environmental misinformation to populism studies . Media Innovations : Pioneering analysis of mooks (hybrid magazine-books) as transformative journalistic formats. Led the West Syndrome Families project examining patient-family knowledge construction in rare disease contexts. Collaborates on serious games for public engagement in industrial controversies. Academic Network Leadership : Co-organizes the annual LéA PRO research initiative analyzing vocational education writing practices. Facilitates interdisciplinary collaborations between medical researchers and communication scholars.