جست‌وجوی استاد و پژوهشگر

Nicholas J. Hortonمشاهده پروفایل

استاد

• Statistics
• Data Science
• Biostatistics
• +۳ مورد دیگر

Nicholas J. Horton is a distinguished faculty member in the Department of Statistics at Amherst College, where he teaches courses in statistics, data science, probability, mathematical statistics, regression, and design of experiments. With a passion for improving quantitative and data literacy for students of diverse backgrounds, he has made significant contributions to statistics education and applied biostatistical research. His educational background includes: Sc.D. from Harvard School of Public Health (1999) A.B. from Harvard College (1987) Horton's research bridges the mathematical, statistical, and computational sciences with interdisciplinary applications. As an applied biostatistician and data scientist, his methodological work focuses on multivariate response models, longitudinal studies, and missing data. He completed a fellowship through the ASA/NSF/Bureau of Labor Statistics program, leading a project to improve imputation methods for the Occupational Employment Survey. His work emphasizes bridging the gap between theory and practice in interdisciplinary statistics and data science settings, with a particular focus on developing novel solutions for real-world data problems that existing methodology sometimes cannot address. An analysis of Horton's recent publications reveals a strong focus on data science education, statistical methodology, and interdisciplinary applications. His work spans from foundational statistics education to cutting-edge applications in public health, obesity research, and audiometry. A notable trend is his commitment to improving statistical and data literacy across educational levels, from K-12 to undergraduate programs. His publications also demonstrate expertise in handling complex data structures including longitudinal studies and missing data problems across diverse fields. Horton has received numerous prestigious awards recognizing his contributions to statistics and education: Waller Distinguished Career Teaching Award, American Statistical Association (2025) Fellow of the Institute of Mathematical Statistics (2025) Peter Holmes Prize (2023) Mosteller Award (2023) Concord Consortium Tinker Fellow (2020) Fellow of the American Association for the Advancement of Science (2018) Robert V. Hogg Award For Excellence in Teaching Introductory Statistics (2015) Fellow of the American Statistical Association (2012) Through his teaching and research mentorship, Horton has actively involved undergraduate students in research projects, viewing this as a key component of his educational mission. He has participated in data science education initiatives through the National Academies and has contributed to developing guidelines for undergraduate programs in statistics. His work with the Project MOSAIC package demonstrates his commitment to integrating computing in the statistics curriculum. Horton maintains active involvement with the R community, contributing to resources like the "mosaic" package that helps students "think with data" using R. He has also been instrumental in developing educational resources including "Modern Data Science with R" and "A Student's Guide to R," supporting both students and educators in the field.

James Oakleyمشاهده پروفایل

استاد

• Marketing Strategy
• Branding
• Organizational Culture
• +۵ مورد دیگر

James Oakley is a Professor of Marketing at Lewis University's College of Business, teaching graduate and undergraduate courses including Marketing Strategy, International Marketing, and Marketing Research. With over two decades of academic and professional experience, he previously worked at Purdue University, University of North Carolina, Montana State University, and University of California-San Diego, and held industry roles at US Bancorp and Capital One. Ph.D., Northwestern University (2002) M.S., Purdue University (1995) His research focuses on marketing strategy, branding, and organizational culture's impact on customer relationships. Publications span pharmaceutical industry regulation, brand authenticity metrics, and hierarchical modeling applications in marketing analytics. He has served as reviewer for over 20 academic journals and led the Association for Marketing & Health Care Research. Research trends show consistent emphasis on health policy intersections with marketing, statistical modeling advancements, and organizational behavior impacts on consumer outcomes. His work has generated over two dozen journal/conference publications and media appearances including NPR in 2013. Scientific Awards: JSR Best Article Awards (2005) Dr. Oakley's professional background bridges Fortune 500 product development and academic research, with domestic and international teaching experience across Germany, Taiwan, Hong Kong, France, and New Zealand. He contributes to curriculum development through Design Thinking and Global Marketing courses.

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.

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.

Md Main Uddin Ronyمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Computational Linguistics
• +۹ مورد دیگر

Md Main Uddin Rony is an Assistant Professor in the Department of Computer Science at Bowling Green State University, Ohio. His research focuses on computational approaches to enhance information quality, equitable access to knowledge, and societal impacts of AI. He completed his PhD in Information Studies at the University of Maryland, College Park, under Dr. Naeemul Hassan, exploring misleading news headlines and their detection through AI methods. Rony holds an MS in Engineering Science (Computer Science) from the University of Mississippi and a BSc in Computer Science and Engineering from Bangladesh University of Engineering and Technology. His research interests include Machine Learning, AI, Computational Linguistics, and Data Science. Key projects include developing systems like ClaimViz for factual claim verification and analyzing health disinformation patterns. He has authored over 20 publications in top conferences and journals. Rony has received awards including the 1st Runner Up in the Intra class Artificial Intelligence Game Development Competition (2018), and Outstanding Adoption of New Technologies (2016). His work bridges computer science, information science, and journalism to address real-world challenges in media and AI ethics.

Mark Boukesمشاهده پروفایل

دانشیار

• Journalism
• Media Effects
• Infotainment
• +۵ مورد دیگر

Dr. Mark Boukes is an Associate Professor in Communication Sciences at the University of Amsterdam’s Faculty of Social and Behavioural Sciences, specializing in Communication, Organizations and Society. His research focuses on media effects, political satire, corporate social responsibility (CSR) communication, and digital journalism practices. He collaborates with organizations like the NVJ Labour Market Monitor and SWOCC, investigating topics such as media trust, satire’s role in political discourse, and the impact of humor in communication. His work bridges theoretical research with practical implications for media literacy and corporate advocacy. Key affiliations include the Amsterdam School of Communication Research (ASCoR) and the Dutch Journalism Fund. Boukes has contributed to studies on pandemic media use, online political deliberation, and the effectiveness of fact-checking versus satirical responses to misinformation. He frequently publishes in peer-reviewed journals and presents at academic conferences, emphasizing the societal relevance of his findings. Education: PhD in Communication Sciences (2015, UvA), specializing in infotainment’s political communication effects. Research Interests: Media effects, political satire’s societal impact, CSR messaging strategies, and digital news consumption patterns. Grants & Collaborations: Collaborator on NVJ Labour Market Monitor projects, SWOCC research initiatives, and international comparative studies on media pluralism and public trust in journalism. Labs/Teams: Part of ASCoR, contributing to interdisciplinary research on media and society.

Anjan Palمشاهده پروفایل

مدرس

• Digital Marketing
• Online Consumer Behavior
• Social Media Analytics
• +۲ مورد دیگر

Anjan Pal is Lecturer in Marketing at University of York's School for Business and Society, specializing in digital consumer behavior and social media analytics. Education: PhD in Information Studies (Nanyang Technological University), M.Sc. in Computer Technology (Jadavpur University). Research: Online rumor dynamics, AI in consumer decision-making, digital advertising effectiveness, and platform engagement strategies. Current projects examine AI recommendation trust and viral rumor rebuttals. Editorial roles: Associate Editor for Electronic Commerce Research and Global Business Review. Recognized with ASIS&T Best Reviewer Award (2023). Teaching: Digital marketing strategy, ethical marketing, and marketing analytics at undergraduate and postgraduate levels.

Nicole Immorlicaمشاهده پروفایل

استاد

• Economics and Computation
• Auction Design
• Market Design
• +۱ مورد دیگر

Nicole Immorlica is a Professor of Computer Science at Yale University's School of Engineering & Applied Science. She holds a Ph.D. and B.Sc. from Massachusetts Institute of Technology and maintains affiliations with Microsoft Research as a researcher. Her research explores the intersection of economics and computation, with applications to market design, auction theory, and social network dynamics. She investigates how simple behaviors in complex systems generate emergent structures affecting social capital, segregation patterns, and learning outcomes. Her recent publications focus on algorithmic game theory, generative AI's economic impact, fairness in machine learning, and information design in online platforms. Work trends show strong emphasis on mechanism robustness, behavioral economics in digital environments, and network-driven inequality. Awards & Honors: ACM Fellow Society for the Advancement of Economic Theory Fellow SIGecom Test of Time Award She advises current and former PhD students including Jerry Anunrojwong, Yorgos Askalidis, and Emmanouil Pountourakis. Collaborates extensively with Microsoft Research on projects involving algorithmic economics and social network analysis.

Mounika Marreddyمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Human-AI Alignment
• +۵ مورد دیگر

Mounika Marreddy is a Postdoctoral Researcher at Goethe-Universität Frankfurt am Main, focusing on advancing Natural Language Processing (NLP) through interdisciplinary research that bridges machine learning, cognitive science, and multilingual language modeling. Her work explores the alignment between human and AI annotations, brain activity prediction using language models, and addressing challenges in low-resource languages like Telugu. Research Focus : Human-AI annotator alignment across NLP tasks (e.g., sentiment analysis, stance detection) Task effects on concept representation in neural models Development of Telugu-specific NLP datasets and pretrained models (ELMo-Te, BERT-Te) Neuroimaging studies linking syntactic processing to brain activity Publications : Her research has been published in top-tier venues such as the European Conference on Information Retrieval (ECIR), ACL Findings, IEEE ICASSP, and ACM Transactions, with recent work on the USDC dataset for dogmatism analysis and robustness in transformer models. She actively collaborates with researchers like Alexander Mehler and Manish Gupta.

• Computer Science
• Cybersecurity
• Human-Computer Interaction
• +۲ مورد دیگر

Mahdi Nasrullah Al-Ameen is an Associate Professor in the Computer Science Department at Utah State University's College of Engineering. His work bridges cybersecurity, human-computer interaction, and user-centered design, focusing on behavioral aspects of digital security and privacy. Research Themes : Password security, clickbait mitigation, parental control tools, privacy policy design, and child cybersecurity education. Methodologies : Leverages storytelling, mental models, and developmental psychology to improve security practices. Applications : Social media safety, IoT privacy, digital assistant controls, and Sybil-resilient systems.

• Branding
• Sustainability Communication
• Social Media
• +۳ مورد دیگر

Bahşende ÇOBAN AZİZOĞLU is a Ph.D. Research Assistant at Üsküdar University's Faculty of Communication, Department of Advertising. She completed her Ph.D. in Public Relations at Marmara University (2024) after earning her BSc (2016) and MSc (2019) in related fields at Kocaeli University. Research Interests: Social media, sustainability communication, branding, AI ethics in advertising Academic Roles: Research Assistant (Üsküdar University, since 2023) Administrative Roles: Committee member in multiple university commissions (Strategy Development, Accessibility, Graduation Committees, etc.) Research Focus combines emerging technologies and ethical frameworks, particularly in: AI applications in advertising Sustainability branding strategies Social media communication Post-truth media dynamics Digital consumer behavior Stakeholder relationship management Recent Publications demonstrate her expertise in AI ethics, virtual influencers, and pandemic-era marketing challenges. Her 2024 MEDCOM conference work on brand love and well-being has gained cross-cultural attention.

• Indigenous Literatures
• Native American Literature
• World Cinema
• +۲ مورد دیگر

David L Erben serves as an Assistant Professor in the Department of English Language and Literature at The University of Toledo's College of Arts and Letters, specializing in Indigenous and non-Western literary and cinematic traditions. His scholarly profile demonstrates active engagement with global narrative forms and cross-cultural discourse. Education: Ph.D. from University of South Florida Dr. Erben's research centers on Indigenous Literatures and Native American storytelling traditions, with significant contributions to World Cinema studies through his Fourth World Cinema framework. His work examines visual-textual design strategies in Native American literature while exploring cross-cultural dialogues between Eastern and Western literary traditions, particularly Confucian influences on modernist writers like Ezra Pound. He also investigates contemporary media phenomena including clickbait mechanics in digital journalism. Analysis of his 15 most recent publications (2018-2022) reveals three dominant research trajectories: (1) Indigenous narrative sovereignty through textual and visual strategies, (2) East-West literary intersections in modernist contexts, and (3) contemporary media discourse analysis. These strands demonstrate methodological versatility across literary criticism, visual studies, and media linguistics while maintaining consistent focus on marginalized narrative traditions. Scientific Awards: No awards documented in available institutional records Advising and Grants: VIVO database indicates no active research grants. Publicly available materials contain no listings of graduate students, PhD candidates, or formal advisees. His workshop activities at North-Ossetian State University (Russia) and Qilu University (China) suggest international teaching engagements without formal advising structures. Labs and Teams: No dedicated research laboratories, digital humanities initiatives, or structured research teams are referenced in institutional profiles. His collaborative outputs show zero co-authors across 17 publications, indicating primarily independent scholarship.