جست‌وجوی استاد و پژوهشگر

Gloria Streit Olnessمشاهده پروفایل

دانشیار

• Aphasia Rehabilitation
• Communication Disorders
• Narrative Analysis
• +۳ مورد دیگر

Gloria Streit Olness is an Associate Professor in the Department of Audiology and Speech Language Pathology at the University of North Texas, specializing in aphasia research and rehabilitation. Her work integrates clinical, organizational, and advocacy perspectives to enhance communicative functionality and life engagement for individuals with aphasia and their co-survivors. She employs multidisciplinary, multi-institutional collaborations to design innovative rehabilitation frameworks. Research Focus: Dr. Olness investigates: The role of personal narratives (memoirs, biographical accounts) in identity reconstruction and recovery Pragmatic competence and discourse strategies in aphasic communication Cross-cultural variations in aphasia awareness and service accessibility Quantitative and qualitative methodologies for assessing functional communication beyond impairment metrics Publication Trends: Her recent articles (2013–2024) demonstrate a cohesive focus on narrative analysis as a tool for understanding aphasia recovery. Key themes include: Memoirs as vehicles for identity reformation Stance and pragmatics in conversational dynamics Cultural and demographic factors in aphasia management Innovative metrics for evaluating prosody, emotional expression, and grammatical coherence

• Data Management
• Data Warehousing
• Data Mining
• +۷ مورد دیگر

**Laks Lakshmanan** is a Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Institute for Computing, Information and Cognitive Systems (ICICS) and the Data Science Institute. His research focuses on data management, data mining, social network analysis, and applications of machine learning in NLP and recommender systems. He supervises PhD and Master's students in topics like influence maximization, graph algorithms, and LLM optimization. **Affiliations**: ICICS, Data Science Institute, CAIDA: UBC ICICS Centre for Artificial Intelligence Decision-making and Action **Education**: Not explicitly stated in provided text, but inferred as资深学者 in computer science **Research Interests**: Data warehousing, social network analysis, recommendation systems, algorithmic social science, and computational methods for combating misinformation. His work bridges theory and practice, with contributions to dense subgraph discovery, viral marketing models, and efficient LLM routing. **Articles Trends**: Recent work emphasizes scalable graph algorithms (densest subgraph discovery), efficient LLM applications (cost-effective routing), and social influence dynamics. Cross-modal consistency in multimodal models and clinical event prediction in healthcare are emerging focuses. **Advising**: Supervised over 20+ doctoral/master's students since 2010, with topics ranging from NLP architectures to social network analytics. Current openings for students in Master's/PhD, plus visiting researchers.

Oliver Quiringمشاهده پروفایل

استاد

• Social Communication
• Economic Communication
• Political Communication
• +۳ مورد دیگر

Prof. Dr. Oliver Quiring is a full professor at the University of Mainz, heading the Teaching and Research Department of Communication Studies within the Institute of Journalism. He holds a doctorate (2003) and habilitation (2009) in communication studies from FAU Erlangen-Nuremberg and LMU Munich. His research focuses on social, economic, and political communication, with a strong emphasis on qualitative-quantitative methodology and long-term media trust studies. He has led major projects like the Mainzer Langzeitstudie Medienvertrauen and contributed to EU crisis communication research. Roles: Managing Director of the Institute of Journalism (2011–2013), former Chair of DGPuK (2014–2018) Educations: Studies in Social Sciences (Erlangen-Nuremberg), Doctorate (Nuremberg), Habilitation (Munich) Research interests include media trust dynamics, conspiracy theory beliefs, and the societal impact of digital media. His work bridges theoretical frameworks with computational methods, such as machine learning for stance classification in health communication. Awards include the 2023 ECREA Health Communication Award and multiple ICA recognitions. His 150+ publications span peer-reviewed journals like Communication Theory and Journalism & Mass Communication Quarterly . He co-edits series on sustainability and media convergence, and serves on the German Research Foundation's Social Sciences Review Board.

• Political Opinions
• Machine Learning
• Automated Text Analysis
• +۷ مورد دیگر

Nick Beauchamp is an Associate Professor in the Department of Political Science at Northeastern University. His research focuses on how political opinions form and evolve through discussion and deliberation, leveraging techniques from machine learning, automated text analysis, and social network analysis. His affiliations include The Roux Institute in Portland, ME, and Northeastern’s campuses in Boston, MA, and London, UK. University: Northeastern University Department: Political Science Rank: Associate Professor Beauchamp’s research integrates computational methods with political science to analyze political discourse, ideology prediction, and social dynamics. His recent work explores large language model personalization, stance detection, and temporal reasoning in political contexts. Selected trends from his publications include advancements in Natural Language Processing for political analysis, applications of Machine Learning to social networks, and interdisciplinary collaborations bridging Data Science and Public Health .

• Sociolinguistics
• English as a lingua franca
• Language policy
• +۷ مورد دیگر

Janus Mortensen is a Professor of Multilingualism and Language Policy at the Centre for Internationalisation and Parallel Language Use (CIP), University of Copenhagen. His research focuses on English as a lingua franca, language policy in transient social configurations, sociolinguistic change, and digital humanities. He leads major projects including the Carlsberg Foundation-funded AI-UNI project exploring generative AI's impact on academic literacy, and the ENIDA project analyzing English's sociolinguistic role in Denmark. University of Copenhagen (2015-present) Roskilde University (2013-2015) CARDIFF UNIVERSITY (visiting scholar) His work examines language ideologies, linguistic history of universities, and written communication. He has published extensively on topics like epistemic stance marking, language practices in international universities, and language policy implementation. Mortensen has received grants from the Carlsberg Foundation, VELUX FONDEN, and Independent Research Fund Denmark. AI-UNI Project (2024-2028): DKK 9,889,244 Fighting Food Waste Project (2022-2025): DKK 4,954,415 ENIDA Project (2021-2025): DKK 6,175,076

Didar AKARمشاهده پروفایل

دانشیار

• Discourse Analysis
• Genre Analysis
• Language and Gender
• +۴ مورد دیگر

Didar AKAR is an Associate Professor in the Department of Linguistics at Boğaziçi University, Istanbul, specializing in discourse analysis, language-gender dynamics, and narrative studies. Her current office is JF 302 with contact email akar@boun.edu.tr. She actively contributes to linguistic research and education within Turkey's leading academic institution. Education: PhD in Linguistics, University of Michigan, USA (1998) MA in Linguistics, Boğaziçi University, Turkey (1990) BA in Western Languages and Literatures, Boğaziçi University, Turkey (1987) Research Focus: AKAR's work centers on discourse strategies in trauma narratives, identity construction through language, and Turkish discourse markers. Her research reveals how linguistic choices shape social identities in contexts like domestic violence, migration, and digital communication. Recent projects examine hate speech detection through discourse analysis and the sociolinguistics of Turkish internet memes. Research Trends: Her 2020-2022 publications show increasing interdisciplinary collaboration, merging computational linguistics with discourse analysis for hate speech detection while maintaining core interests in Turkish pragmatic markers like 'hani'. Key themes include epistemic stance marking, narrative morality frameworks, and language attitudes toward standard Turkish. Advising and Grants: She has supervised 20+ master's theses since 2004 on topics ranging from gender representation in advertising to domestic violence narratives. Funded by Boğaziçi University Research Fund and the European Commission (2021-2024 project on digital technology for social cohesion), her work bridges theoretical linguistics and real-world social issues through rigorous discourse analysis methodologies.

Ioannis Agrafiotisمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Risk Analysis
• Cyber Resilience
• +۵ مورد دیگر

Dr. Ioannis Agrafiotis is a Senior Cybersecurity Researcher at the Department of Computer Science, University of Oxford, and a James Martin Fellow at the Global Cyber Security Capacity Centre (GCSCC). His work focuses on cybersecurity research and capacity building initiatives across multiple domains including risk analysis, cyber resilience, cyber insurance, and threat detection systems. Dr. Agrafiotis completed his doctoral studies in Engineering at the University of Warwick in 2012 (EPSRC-funded), where he focused on dynamic consent modeling. He also holds an MSc in Analysis, Design and Management of Information Systems from the London School of Economics and Political Science (2008) and a BSc in Applied Informatics from the University of Macedonia in Greece (2006). His research spans several critical areas in cybersecurity including capacity building in cybersecurity, risk analysis and resilience in the cyber domain, cyber insurance, and anomaly detection techniques for internal and external threats. His work addresses how nations and organizations can strengthen their cyber defenses, how systems can withstand and recover from attacks, how security controls are assessed in insurance frameworks, and how to identify threats through advanced detection methods. His publications reveal a strong focus on insider threat detection, cyber harm taxonomy, social media analysis for rumor verification, and cybersecurity capacity building. His work demonstrates a consistent pattern of bridging theoretical research with practical applications across multiple cybersecurity domains. Dr. Agrafiotis has received recognition through his James Martin Fellowship at the Global Cyber Security Capacity Centre. His research contributions have advanced understanding in cybersecurity metrics, threat modeling, and capacity development frameworks. As an educator, Dr. Agrafiotis teaches for the Centre for Doctoral Training (CDT) on topics including cyber risk, security controls, online privacy, and anomaly detection. He supervises students at undergraduate, Masters, and doctoral levels, guiding the next generation of cybersecurity researchers. He is involved with the Cybersecurity Analytics group at Oxford and has contributed to several key projects including GCSCC, EnCoRe, TEASE, CyberVis, and the Corporate Insider Threat Detection initiative.

Jakub Rzymowskiمشاهده پروفایل

مدرس

• Law of New Technologies
• Personal Data Protection
• Electronic Signatures
• +۸ مورد دیگر

Jakub Rzymowski is a Lecturer at the Department of European Economic Law within the Faculty of Law and Administration at the University of Lodz. His academic profile combines practical legal expertise with profound theoretical contributions to legal philosophy. Dr. Rzymowski specializes in the law of new technologies, with particular focus on personal data protection and electronic signatures. His work extends to European economic law (rather than institutional aspects), copyright law, medical documentation regulations, and archival law. His theoretical framework, 'legal conceptualism as a general theory of law,' posits that law fundamentally consists of a system of rights, with rights themselves being characteristics of people. Developed 'legal conceptualism' explaining law's ontological status Created 'stage semantic analysis' methodology for legal interpretation Current research focuses on personal data protection monographs Explores the intersection of law and computer science Investigates the ontology of rights and legal validity His recent publications reflect a systematic approach to contemporary legal challenges, particularly in digital domains. Dr. Rzymowski's conceptualist perspective has generated discussion among legal philosophers, particularly among Kantians and Kelsenians who have offered critical perspectives on his work. He maintains that true law must be good and just, arguing that when law fails these standards, it becomes merely 'lawlessness wearing the guise of law.' This philosophical stance informs both his teaching and scholarly work. His students frequently appreciate his engaging teaching style, noting that his lectures are interesting and practically useful.

• Artificial Intelligence and Data Science
• Data Management & Mining
• Decision Making & Optimization
• +۵ مورد دیگر

Wei GAO is an Associate Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS), where he serves as full-time faculty. His research focuses on artificial intelligence applications in social computing, misinformation analysis, and natural language processing. Professor GAO leads research on large language models, rumor detection, and social media analytics through computational approaches. Research Focus Professor GAO's expertise spans several interconnected domains: AI & Data Science : Developing advanced machine learning models for complex data analysis Social Media Analytics : Studying misinformation propagation and user behavior patterns Natural Language Processing : Creating novel methods for text understanding and generation Computational Social Science : Quantifying psychological and social phenomena through AI Publication Trends Recent works demonstrate strong emphasis on enhancing large language models for: misinformation detection (rumor verification, fake news debunking), social computing (stance classification, moral reasoning), and efficient AI (model compression, transfer learning). Multimodal approaches and explainable AI frameworks appear consistently across publications. Academic Activities Professor GAO supervises PhD students including LAI Yibin, with mentorship focus on NLP and social computing research. He teaches courses on Natural Language Communication and contributes to SMU's research initiatives in digital transformation and AI safety.

Cecile Folschweillerمشاهده پروفایل

مدرس

• Romanian Literature
• Cultural History
• Intellectual History
• +۳ مورد دیگر

Cécile Folschweiller is a Lecturer at the National Institute of Oriental Languages and Civilizations (INALCO) in Paris, specializing in Romanian language and literature within European studies. Her research focuses on the history of ideas and cultural history in Romania , Franco-German-Romanian cultural transfers , and the intersections of literature, philosophy, and national identity in Eastern Europe. Current academic affiliations: INALCO (Paris), Research team CREE (Centre de recherches européennes) Teaching areas: Text analysis, Romanian geography, literature history, advanced translation, and European methodology Her recent publications examine 19th-21st-century Romanian cultural and political history , including forgotten Franco-Romanian mediators, the evolution of Greater Romania ideologies, and intellectual responses to Austro-Hungarian dissolution. She co-edits anthologies on communist childhoods and Balkan conflicts, emphasizing transnational historiography and memory studies . As co-author of Literatura română / Littérature roumaine (vol. IV, 2013 ), she contributes to bilingual literary anthologizing. Her 2020 monograph on Émile Picot reconstructs early Romanian-French diplomatic-intellectual networks.

Doina Carageaمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Data Science
• +۶ مورد دیگر

Doina Caragea is a Professor in the Department of Computer Science at Kansas State University (KSU), part of the Carl R. Ice College of Engineering. She holds the Don and Linda Glaser Keystone Research Scholar appointment. Caragea earned her Ph.D. in Computer Science from Iowa State University (2004), with a focus on machine learning from distributed data sources. She has over 150 refereed publications and secured over $12M in extramural funding as PI/Co-PI. Education: Ph.D., Computer Science, Iowa State University, 2004 M.S., Computer Science, University of Bucharest, 1997 B.S., Computer Science, University of Bucharest, 1996 Research Interests: Machine Learning, Deep Learning, Data Science, Bioinformatics, Digital Agriculture, and Crisis Informatics. Her work focuses on semi-supervised learning, domain adaptation, and applications to plant phenotyping, social media analysis during disasters, and genomic sequence analysis. Notable Grants: NSF BIGDATA Award ($500,000): Domain adaptation for crisis-related social media analysis NSF PlantTransform ($1.9M): Genetic basis of maize regeneration USCP Sorghum Breeding Program ($1.6M): Climate-resilient crop development Awards: Deployed Application Award (AAAI IAAI 2021) Best Insight Paper (ISCRAM 2019) IBM Fellowship (2002–2004) Advising & Teaching: Supervised over 30 graduate students, including 10 Ph.D. graduates. Taught courses on Deep Learning, Data Mining, Bioinformatics, and Database Systems. Current research lab focuses on AI-driven solutions for agriculture, bioinformatics, and disaster response. Labs/Teams: Active collaborations with the Bioinformatics Center (KSU), USDA, and industry partners like Siena Analytics. Her lab develops tools for plant phenotyping, social media crisis analysis, and secure mobile applications.

Foaad Khosmoodمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Digital Government
• +۴ مورد دیگر

Foaad Khosmood is a Professor of Computer Science and Forbes Professor of Computer Engineering at California Polytechnic State University. As Research Director of the Institute for Advanced Technology and Public Policy (IATPP), he leads projects focusing on digital government transparency, AI applications in legislative analysis, and data science for historical research. His work spans NLP/AI, game design, and systems engineering with notable contributions to computational humor analysis, legislative data tools like Digital Democracy, and game jam methodologies documented in his Springer book Game Jams—History, Technology, and Organisation (2023). Education: PhD in Computational Linguistics from UC Santa Cruz (2011). Research interests include artificial intelligence, digital humanities, and applying NLP to policy analysis. Collaborations involve institutions like the University of Miami, Graz University of Technology, and Imperial College London. He actively develops tools for state legislative transparency, historical data recovery (e.g., African Californios project), and AI-driven journalism support systems. His recent publications emphasize explainable AI for humor analysis, legislative stance detection systems, and game-based learning frameworks. Projects like AI4Reporters and Central Coast Data Science Partnership highlight his commitment to bridging technology with civic engagement. He regularly contributes to conferences like DH, ACL, and FDG, advancing interdisciplinary applications of computational methods.

Pavlos Fafaliosمشاهده پروفایل

استادیار

• Information Systems
• Information Retrieval
• Semantic Web
• +۹ مورد دیگر

Pavlos Fafalios is an Assistant Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on Information Systems, with specialties in Information Retrieval, Semantic Web, and Knowledge Engineering. He holds a PhD in Computer Science (University of Crete, 2016) and conducted postdoctoral research at L3S Research Center (Germany) and FORTH (Greece). He has been a visiting lecturer at the Hellenic Mediterranean University and actively contributes to the international research community through over 50 publications. His work emphasizes semantic interoperability, knowledge graphs, and interdisciplinary applications in cultural heritage and digital humanities. Education: Diploma in Information and Communication Systems Engineering (University of the Aegean, 2009) Master's in Information Systems (University of Crete, 2012) PhD in Computer Science (University of Crete, 2016) Research interests include: Information Retrieval (e.g., exploratory search, semantic search) Knowledge Engineering (ontology design, data integration) Applications in maritime history, disaster informatics, and circular economy His recent articles explore ontology governance, knowledge graph applications in fact-checking, and semantic interoperability frameworks. Notable achievements include the Marie Skłodowska-Curie Fellowship (2016-2019) and contributions to projects like the Claimskg system.

Bhadrachalam Chitturiمشاهده پروفایل

استاد

• Algorithm Design and Analysis
• Discrete Mathematics
• Bioinformatics
• +۲ مورد دیگر

Dr. Bhadrachalam Chitturi is a Professor of Instruction at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. His professional preparation includes a PhD in Computer Science from UTD (2007) and a postdoctoral fellowship in computational biology at UT Southwestern Medical Center (2011). His research focuses on algorithm design, discrete mathematics, bioinformatics, computational biology, and machine learning. Key contributions include optimal algorithms for permutation sorting, approximation algorithms for genome rearrangements, and deep learning applications for fake news detection. Dr. Chitturi has been an invited speaker at the American Mathematical Society (2020). His work spans theoretical computer science, with recent emphasis on permutation metrics (e.g., broom and transposition-based sorting) and layered graph algorithms. His machine learning research integrates natural language processing for social media analytics. His bioinformatics contributions include protein structure pattern analysis and gene prioritization in protein interaction networks. Notable trends in his publications include algorithmic advances in combinatorial optimization, graph theory applications, and cross-disciplinary work blending CS with biological data analysis. His research bridges theoretical foundations with practical applications in healthcare informatics and computational biology.

Jonathan Kobbeمشاهده پروفایل

پژوهشگر

• Argumentation Analysis
• Natural Language Processing
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Jonathan Kobbe is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on knowledge-enhanced argument analysis, combining formal argumentation systems with background knowledge and moral values. He is involved in the DFG-funded ExpLAIN project exploring explanation generation in argumentation reasoning. Kobbe has extensive teaching experience, having led tutorials for courses like Industrial Applications of AI, Network Analysis, and Formal Foundations of Computer Science. His research interests include natural language processing (NLP), ethical AI, and knowledge graphs. Notable projects involve integrating moral values into argumentation frameworks and developing systems for unsupervised stance detection and effect relation extraction. His work bridges computational linguistics with formal reasoning systems to improve structured explanations in argument analysis. Key contributions include advancing argumentative relation classification using background knowledge and exploring ethical dimensions in AI through knowledge graph applications. His research spans both theoretical advancements in argumentation frameworks and practical NLP applications. Active in academic collaborations, Kobbe has published in top venues like Computational Models of Argument (COMMA) and the International Workshop on Lexical and Computational Semantics. His current work emphasizes explainability in AI systems and robust argumentation machines under the RATIO priority program.