جست‌وجوی استاد و پژوهشگر

• Theoretical Linguistics
• Computational Linguistics
• General Linguistics
• +۳ مورد دیگر

Helge Julius Jakhelln Dyvik is a Professor at the Department of Linguistic, Literary, and Aesthetic Studies, University of Bergen. His research focuses on theoretical linguistics, computational linguistics, and language technology, with a strong emphasis on corpus-based methods and lexicography. He contributes to projects such as CLARINO Bergen Centre and has published extensively on topics like authorship attribution, collocations, and syntactic analysis. His work integrates computational tools with linguistic theory, exemplified by contributions to NorGramBank and LFG treebanks. He collaborates on national infrastructure projects like Common Language Resources Infrastructure Norway (Upgrade) and has participated in initiatives such as XPAR and INESS. His research also involves developing resources for lexicography and advancing methodologies in corpus linguistics. Key Projects: CLARINO Bergen Centre, Common Language Resources Infrastructure Norway (Upgrade), XPAR, INESS, TREPIL Research Themes: Corpus linguistics, computational syntax, lexicography tools, Norwegian language analysis

• Software Engineering
• Information Retrieval
• Design Patterns
• +۳ مورد دیگر

Sargon Hasso is an Adjunct Professor in the Department of Computer Science at Illinois Institute of Technology. His work focuses on software engineering methodologies, design patterns, and information retrieval systems. He has contributed to advancing classification schemes for software patterns using linguistic and probabilistic approaches, as well as exploring the integration of behavioral models in software composition. Research interests include software design patterns, automated classification systems, and the application of linguistic principles to software architecture. His publications span topics from semantic-enriched information retrieval to theoretical frameworks for organizing design patterns. Recent research trends show a consistent focus on improving software modularity through design patterns and enhancing information retrieval models with semantic analysis. His work bridges theoretical computer science with practical software development challenges. No awards or grants are listed in the provided information. No advising records are available.

Jie Caoمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Dialogue Systems
• +۴ مورد دیگر

Dr. Jie Cao is an Assistant Professor at the School of Computer Science, University of Oklahoma, affiliated with the Gallogly College of Engineering and the Data Science and Analytics Institute. He holds a PhD from the University of Utah, and MS/BS degrees from Huazhong University of Science and Technology. His research focuses on Natural Language Processing (NLP), Machine Learning (ML), dialogue systems, structured prediction, and trustworthy AI applications in education and healthcare. Prior to OU, he was a postdoctoral researcher at the NSF AI Institute for Student-AI Teaming (iSAT) at the University of Colorado Boulder, and worked as a research scientist at WeChat AI, Amazon, and in software engineering at Alibaba and Baidu. Education: PhD in Computer Science, University of Utah MS in Computer Science, Huazhong University of Science and Technology BS in Information Security, Huazhong University of Science and Technology Research Interests: Dr. Cao’s work spans multi-party/multimodal dialogue analysis, LLM alignment, efficient structured prediction, and robust AI deployment. Notable projects include AI partners for collaborative classrooms, discourse analysis in psychotherapy, and database workload characterization. His research bridges foundational NLP/ML advancements with interdisciplinary applications in education, healthcare, and material science. Key Achievements: Recipient of the iSAT Trainee Grant (2023) and Alternative Textbook Grant (2025) Lead developer of MatterChat, a multi-modal LLM for material science Published over 20 peer-reviewed papers in top venues like ACL, COLING, and IEEE TVCG Co-instructor for NLP courses integrating LLM and agentic AI materials Labs & Teams: Leads the OUNLP lab at OU, focusing on advancing dialogue systems and trustworthy AI solutions.

Vanessa Enriquezمشاهده پروفایل

مدرس ارشد

• Translator Education
• Translation Technologies
• AI and Language Technologies in Translation
• +۴ مورد دیگر

Vanessa Enriquez is a Senior Lecturer in the Department of Linguistics at Macquarie University, Australia. Previously, she held academic positions at the University of Auckland (2005–2022) and the University of Vic – Central University of Catalonia (2022–2023). Her research focuses on translator education, translation technologies, and AI applications in translation. She has supervised numerous PhD and master’s students and received prestigious awards, including the University of Auckland’s Teaching Excellence Award and Research Awards in 2015 and 2018. Education: PhD in Translation Studies (Universitat Ramon Llull, 2011), MA in Translation and Intercultural Studies (Universitat Rovira i Virgili, 2005), and BA in Translation and Interpreting Studies (Universidad Alfonso X El Sabio, 2000). Research interests include curriculum development for translators, innovative teaching methodologies, and the ethical implications of AI in healthcare translation. Her recent work explores web search behaviors in translation trainees and the integration of GPT-4 in terminology testing. She has published widely on translation technology integration and has served on editorial boards of journals such as The Interpreter and Translator Trainer and International Journal of Language, Translation, and Intercultural Communication . Awards and Grants: Leveraged projects such as the 2025 initiative on AI literacy training for NAATI-certified professionals. She has led workshops at institutions like the Universidad Internacional Menéndez Pelayo and The Middlebury Institute of International Studies. Labs/Teams: Involved in research teams focused on translation technology and pedagogy, including collaborations with NAATI and New Zealand’s Language Assistance Service Programme. Active in bridging academic research with industry standards through her advisory roles.

• Information Science
• Interactive Information Retrieval
• Digital Literacy
• +۵ مورد دیگر

Dr. David Brazier is a Lecturer at Edinburgh Napier University's School of Computing, Engineering and the Built Environment , affiliated with the Centre for Interaction Design and Centre for Social Informatics. He holds a PhD in Information Science from Northumbria University, an MSc in Business Information Systems Management (Northumbria), and a BSc (Hons) in Applied Computing (Newcastle College). His research examines interactive information retrieval, digital literacy, and social impacts of digitalization , with focus areas including: E-government accessibility for non-native speakers Digital literacy development in vulnerable populations Public library roles in migrant integration Music recommender system receptivity Cognitive adaptability in workplaces Publication analysis reveals strong emphasis on equality of access, participatory research methods, and cross-cultural information behavior , with recent work exploring AI applications in labor market intelligence and democratic processes. Awards & Recognition: Associate Fellow of Higher Education Academy ACM Professional Member (including SIGIR) Research Leadership: Secured £125,390 in grants including: £64,428 from Skills Development Scotland for AI-enhanced labor market intelligence (2021-2025) £60,962 from ESRC for meta-skills research (2018-2023) Current PhD Supervision: Digital literacy development (Drew Feeney) Trust in digitalization's democratic impact (Natalie Wangler) Natural language interfaces for career decisions (Marianne Wilson) Machine learning for labor intelligence (Aleksander Bielinski)

Ana Lokas Ćoškovićمشاهده پروفایل

مدرس

• English Language Teaching
• Computer-Assisted Language Learning
• Educational Technology
• +۳ مورد دیگر

Ana Lokas Ćošković holds dual roles as a Lecturer in English Language Teaching and Head of the Department of General Courses at Algebra University College. She specializes in Business English, English for IT, and Computer-Assisted Language Learning (CALL). Her academic background includes a degree from the Faculty of Humanities and Social Sciences (University of Zagreb) and a Master's in Public Relations. Her research focuses on student attitudes toward technology integration in education, ESP methodologies, and regional higher education trends. Notable work includes analyses of AI adoption in writing pedagogy and netspeak patterns in student communication. Previously taught at institutions like Istanbul International Preschool and private language schools, she also contributes to curriculum development at Algebra d.o.o. where she prepares state exam materials.

Cana Uluak Itchuaqiyaqمشاهده پروفایل

استادیار

• Technical Communication
• Decolonial Rhetoric
• Critical Race Theory
• +۵ مورد دیگر

Cana Uluak Itchuaqiyaq (she/they) serves as Assistant Professor of Professional and Technical Writing in the Department of English within Virginia Tech's College of Liberal Arts and Human Sciences. Their scholarship bridges technical communication, digital humanities, and Indigenous knowledges to interrogate systemic marginalization in academic and institutional practices. Research interests center on decolonial approaches to technical communication through critical race theory, data justice, and Arctic research ethics. Their work develops practical frameworks for respectful engagement with marginalized communities, particularly focusing on Indigenous data sovereignty and ethical research protocols. Key contributions include the MMU Scholar Database for citation justice and the Equitable Arctic Research Guide addressing NSF's tribal consultation requirements. Recent publications reveal consistent thematic focus on dismantling extractive practices in technology and research. Articles demonstrate expertise in applying FAIR/CARE data principles against large language model exploitation, designing community-led digital archiving (The Rematriation Project), and developing cultural humility frameworks for community-engaged research. Their scholarship consistently centers Indigenous methodologies while addressing contemporary challenges in AI ethics and climate science. Through their blog and public scholarship, Itchuaqiyaq actively promotes antiracism initiatives in technical communication curricula and advocates for equitable inclusion of Indigenous peoples in Arctic science. They provide practical resources like the free Equitable Arctic Research Guide and the 'Which Arctic Research Superhero Are You?' quiz to operationalize decolonial principles in research practice.

• Medical Natural Language Processing
• Clinical Text Analysis
• Radiology Informatics
• +۵ مورد دیگر

Chaitanya Shivade is a prominent researcher specializing in medical natural language processing with significant contributions to clinical text analysis, radiology informatics, and behavioral health documentation. His work bridges computational linguistics and healthcare applications, focusing on practical solutions for clinical documentation challenges. Shivade's research spans multiple critical areas: developing evaluation frameworks for behavioral therapy notes (TN-Eval), creating shared tasks for medical summarization (MEDIQA), advancing visual dialog systems for radiology, and pioneering synthetic clinical note generation. He has made substantial contributions to textual inference in clinical domains through the MedNLI dataset and has explored fundamental linguistic challenges like negation detection and gradable term analysis in medical text. As a workshop organizer for the NLP for Medical Conversations series, he has helped shape community standards and foster collaboration. His publication record demonstrates consistent leadership in applying NLP to real-world healthcare problems, with particular emphasis on evaluation methodologies, dataset creation, and practical clinical applications. Shivade has collaborated extensively with medical professionals and researchers across institutions to ensure clinical relevance of his technical work. Organized MEDIQA shared tasks (2019, 2021) Co-organized NLP for Medical Conversations workshops (2019, 2020) Developed TN-Eval framework for therapy note quality assessment Created MedNLI dataset for clinical textual inference Pioneered synthetic clinical note generation approaches His work consistently addresses the tension between clinical utility and technical innovation, with growing emphasis on evaluating LLM performance in healthcare contexts. The progression from foundational clinical NLP techniques to complex evaluation frameworks demonstrates his evolving research trajectory toward ensuring reliable AI deployment in medical settings.

Michael Whiteمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Generation
• Spoken Language Dialogue Systems
• +۳ مورد دیگر

Michael White is a Professor in the Department of Linguistics at The Ohio State University, specializing in computational linguistics, natural language generation, and spoken language dialogue systems. He holds a Ph.D. in Computer Science from the University of Pennsylvania and has collaborated with interdisciplinary teams in both academia and industry, including roles at CoGenTex, Inc., and visiting positions at Facebook/Meta and Australian universities. His research emphasizes controllable and ethical AI, with a focus on neural language models and their applications in healthcare and conversational systems. Education: Ph.D. in Computer Science, University of Pennsylvania. Professional Background: Former Research Fellow at the University of Edinburgh School of Informatics, and founder of CoGenTex, Inc. Collaborations include researchers in Computer Science and Linguistics at Ohio State, such as Eric Fosler-Lussier and William Schuler. Research Interests: Neural language generation controllability, ethical AI alignment, discourse processing, and conversational systems. Recent projects include developing virtual patient simulators for medical education and exploring knowledge distillation to mitigate AI-generated harm. Articles Trends: Focused on advancing neural NLG techniques, improving dialogue system safety, and leveraging large language models for domain-specific tasks (e.g., healthcare, KBQA). Recent work addresses transparency, data efficiency, and ethical implications in AI. Scientific Awards: Lumley Interdisciplinary Research Award (2023), PRE Accelerator Award. Grants: Supported by interdisciplinary initiatives such as the virtual patient project collaboration with Eric Fosler-Lussier and Laura Wagner. Advising and Grants: Mentors students in computational linguistics and leads projects funded by Ohio State’s interdisciplinary programs. Current work involves neuro-symbolic approaches for patient preparation assistants and data-efficient conversational AI. Labs/Teams: Collaborates with the Ohio State Computational Linguistics Group and industry partners. Active in organizing workshops on discourse-driven NLG and ethical AI challenges.

Henrik Björklundمشاهده پروفایل

دانشیار

• Natural Language Processing
• Formal Languages
• Machine Learning
• +۳ مورد دیگر

Henrik Björklund is an Associate Professor at the Department of Computer Science, Umeå University. His research focuses on natural language processing , formal languages , and mitigating social bias in large language models . Primary affiliation: Umeå University Department: Computing Science Role: Faculty member Research interests include: Detecting and mitigating gender bias in NLP systems like ChatGPT Foundational studies in formal languages and automata theory Developing language technology for Swedish, particularly nonbinary pronouns like 'hen' Publication trends show: Recent work (2023-2024) on intersectional bias analysis in LLMs 2017-2023 studies on hyperedge replacement grammars and DAG language transduction 2013-2017 contributions to XPath evaluation and tree pattern queries Contact : henrik.bjorklund@umu.se

Ian Laneمشاهده پروفایل

دانشیار

• Natural Language Processing
• Speech Recognition
• Machine Translation
• +۵ مورد دیگر

Ian Lane is an Associate Professor in the Computer Science and Engineering Department at the University of California, Santa Cruz's Baskin Engineering school, serving as Program Director for the Natural Language Processing Professional Master's Degree Program. He joined UCSC in Fall 2022 after an extensive career spanning academia and industry. His research centers on computational systems that understand spoken human language, spanning speech recognition, transcription, meaning interpretation, and contextually appropriate responses. Key research areas include: Natural Language Processing for real-world applications Conversational AI systems development Speech-to-speech translation technologies Multimodal interaction (audio-visual integration) Language technologies that learn through real-world interaction His recent publications demonstrate strong focus on hallucination detection in LLMs, tabular data understanding, explainable AI, and robust speech recognition systems. Current work emphasizes "in the wild" language technologies that adapt through user interaction. Dr. Lane has received recognition through impactful industry applications including Jibbigo (the first mobile speech translation app) and military translation systems deployed in Iraq and Afghanistan. He actively mentors students and collaborates across UCSC's Silicon Valley Campus programs including Games and Playable Media and Human-Computer Interaction. His vision includes integrating NLP with virtual environments for language learning and skill acquisition.

• Data Mining
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Luca Cagliero is an Associate Professor in the Department of Control and Computer Engineering at Politecnico di Torino (Polytechnic University of Turin), Italy. His research spans multiple domains within computer science, with particular expertise in data mining, machine learning, natural language processing, and multimodal analysis. He has established a prolific research career with over 150 publications spanning from 2009 to the present, demonstrating consistent scholarly productivity. Dr. Cagliero's research interests focus on the intersection of artificial intelligence and practical applications. His work addresses fundamental challenges in data mining, information retrieval, and educational technology, with recent publications showing increasing emphasis on large language models, multimodal analysis, and explainable AI. He has made significant contributions to text summarization techniques, database systems, and applying machine learning to educational contexts. His recent publications (2023-2025) demonstrate a clear research trajectory toward multimodal AI systems, with particular attention to the integration of vision and language processing. His work spans theoretical contributions in machine learning methods as well as practical applications in educational technology, social media analysis, and document understanding. The breadth of his collaborations across different application domains indicates a versatile research profile that bridges theoretical and applied computer science. Dr. Cagliero has mentored numerous researchers who have become his frequent collaborators, including Lorenzo Vaiani, Moreno La Quatra, and Davide Napolitano. His work has appeared in top-tier venues including ACL, IEEE Transactions on Knowledge and Data Engineering, and Expert Systems with Applications, reflecting the high quality and impact of his research contributions.

• Linguistics
• Pragmatics
• Discourse Analysis
• +۴ مورد دیگر

Dr. Ágnes Abuczki is an Assistant Professor at the Department of English Linguistics , Institute of English Studies, Faculty of Humanities and Social Sciences, Károli Gáspár Reformed University. She holds a PhD in Linguistics (2015) and an MA in Pedagogy and English Language and Literature (2009), both from the University of Debrecen. Her work bridges pragmatics, discourse analysis , and multimodal interaction , with a focus on discourse markers and their functional spectra across contexts.

• Computer Science
• Distributed Systems
• Software Transactional Memory
• +۷ مورد دیگر

Professor Graham Morgan is a distinguished faculty member at Newcastle University's School of Computing, where he serves as a Professor in the Department of Computer Science. His research spans multiple domains within computer science with a particular focus on distributed systems, Internet of Things technologies, and the application of gaming technologies to healthcare solutions. He leads several research projects and collaborates extensively with both academic and industry partners across multiple disciplines. Professor Morgan's primary research interests include distributed systems architecture, software transactional memory, IoT simulation frameworks, and the development of serious games for health applications. His work has pioneered approaches that bridge computer science with healthcare, particularly in developing video game-based rehabilitation systems for stroke patients and other therapeutic applications. His recent work has expanded into explainable AI, 6G networking, and advanced simulation techniques for IoT environments. Professor Morgan's publication record demonstrates a clear evolution from foundational work in distributed systems and transactional memory to more applied research in healthcare technology and IoT. His most recent publications (2023-2026) show a strong focus on simulation frameworks for IoT and osmotic computing, explainable AI systems, and the application of AI in clinical decision support. He has developed several notable simulation tools including SimulatorOrchestrator, IoTSimSecure, and SimulatorBridger that address critical challenges in networked systems and healthcare delivery. Principal Investigator for multiple research grants in IoT and healthcare technology Supervisor for numerous PhD and Master's students in computer science Collaborator with healthcare professionals on clinical decision support systems Developer of simulation frameworks for IoT and osmotic computing environments Researcher in AI-enabled clinical decision aids and healthcare applications Professor Morgan leads research teams focused on IoT simulation, serious games for health, and explainable AI. His laboratory develops simulation tools that address real-world challenges in networked systems, energy efficiency, and healthcare delivery. Current projects include the development of 6G-ready simulators, deepfake detection systems, and AI decision aids for clinical settings. He maintains strong collaborations with medical professionals, particularly in stroke rehabilitation and clinical decision support, ensuring his technical research has direct healthcare applications.

• Semiotics
• Multimodality and modality specificity of linguistic communication
• Linguistic iconicity
• +۷ مورد دیگر

Prof. Dr. Silvia Kutscher serves as Professor for the Theory and History of Multimodal Communication at the Institute of Archaeology, Humboldt University of Berlin since March 2016, a position established within the Cluster of Excellence Topoi. Her interdisciplinary work bridges linguistics, semiotics, and archaeology with particular focus on ancient Egyptian communication systems. She leads project B03 on Register variation and asymmetric communication in Ancient Egypt within the Collaborative Research Center 1412 "Register: Language Users' Knowledge of Situational-Functional Variation". Her research centers on semiotics with emphasis on multimodal communication in ancient contexts. She has pioneered analytical methods for examining how spatial relations function as semiotic resources in pharaonistic communication, developing the theoretical framework for analyzing text-image compositions in Ancient Egypt. Her work creates crucial interdisciplinary connections between semiotic-linguistic multimodality research and Egyptology, revealing how dimensional aspects and spatial organization contribute to meaning-making in ancient artifacts. Recent publications demonstrate her sustained focus on multimodal analysis of ancient Egyptian artifacts, particularly through the CaeMmCom Corpus project. Her scholarly trajectory shows consistent development from general linguistic theory to specialized application in ancient communication systems, increasingly incorporating digital humanities methodologies. This work represents significant advancement in understanding how ancient societies structured information through combined textual and visual means. Prof. Kutscher holds leadership roles in academic organizations: Since 2018: Board member and co-leader of the Archaeology section of the German Society for Semiotics 2010-2013: Second chair of the German Linguistic Society (DGfS) 2014-2016: Advisory board member of DGfS She directs the Working Group on Multimodal Communication in Ancient Egypt, which develops theoretically grounded analytical tools by combining semiotic-linguistic approaches with Egyptological expertise. This initiative also implements technological tools for annotating and querying multimodal artifact data across the text-object-space continuum.