جست‌وجوی استاد و پژوهشگر

Charles Lingمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۴ مورد دیگر

Charles Ling is a Professor of Computer Science at Western University, holding the title of Science Distinguished Research Professor. He also serves as Director of the Data Mining and Business Intelligence Lab and Associate Scientist at the Lawson Health Research Institute. His academic background includes a B.Eng. (CS and EE) from Shanghai Jiao Tong University and MSc/PhD from the University of Pennsylvania (UPenn). Research interests span machine learning, deep learning, AI, and healthcare informatics, with notable contributions to the GlucoGuide diabetes management system. He has authored over 220 peer-reviewed papers and a book titled Crafting Your Research Future , focusing on academic career development. Awarded Fellow of the Canadian Academy of Engineering (CAE) and recipient of the First Prize for Best Clinical Research Presentation (2011). Active in grants (NSERC, FedDev, Mitacs) and organizational roles in top conferences (KDD, ICDM). Supervises 5 PhD and 4 MSc students, with notable advisees including Harry Zhang and Victor Sheng. Leverages AI in education to enhance children's cognitive abilities through video-based programs like Power Thinking , approved by Curriculum Services Canada. His work integrates machine learning with healthcare, finance, and software engineering.

Hong Huمشاهده پروفایل

استادیار

• Statistical Signal Processing
• Machine Learning
• High-Dimensional Data Analysis

Hong Hu is an Assistant Professor in the Department of Statistics & Data Science and the Department of Electrical & Systems Engineering at Washington University in St. Louis, within the McKelvey School of Engineering. He holds a PhD from Harvard University. Hong Hu earned his PhD from Harvard University. His research focuses on statistical signal processing and machine learning, with an emphasis on the theoretical foundations of algorithms for extracting information from high-dimensional data. He investigates fundamental properties of high-dimensional random systems, such as phase transitions and universality, to understand and improve high-dimensional information processing algorithms. His work also aims to apply these principles to real-world applications. His recent publications explore topics including heterogeneous computation resource allocation using data-driven methods and the application of deep learning in multilingual sentiment analysis, reflecting his interdisciplinary approach to machine learning and data science challenges. Hong Hu’s advising and grant activities are not detailed in the provided information.

Kathleen L. Komarمشاهده پروفایل

استاد

• Comparative Literature
• German Literature
• Feminist Theory
• +۳ مورد دیگر

Kathleen L. Komar is a Distinguished Professor in the Department of Comparative Literature at the University of California, Los Angeles (UCLA), part of the UCLA College. She holds a Ph.D. in Comparative Literature from Princeton University (1977). Her primary language expertise includes German, reflecting her focus on German literary traditions. Professor Komar’s research spans feminist theory, modernist literature, and post-symbolist poetry, with significant contributions to the study of Rainer Maria Rilke, Hermann Broch, and Robert Musil. She has authored and edited works analyzing mythological reinterpretation, gender dynamics in literature, and the intersection of digital humanities with traditional literary studies. Her academic career includes leadership roles such as serving as ACLA President, where she championed interdisciplinary approaches and the evolution of comparative literature as a discipline. Komar’s scholarship bridges historical analysis and contemporary critical theory, addressing themes like utopianism, postcommunism, and the role of silence in postwar discourses. She has also explored pedagogical innovations in teaching world literature and the application of predictive analytics in educational technology. Notable research areas include: Reinterpretation of classical myths (e.g., Klytemnestra) Modernist aesthetic theory in German literature Electronic poetry and digital textuality Feminist explorations of literary space Comparative studies of European and American literary traditions Her publications reflect a commitment to interdisciplinary dialogue, spanning edited companions, critical essays, and theoretical interventions in both print and digital formats. Komar’s work frequently emphasizes the transformative potential of literature to interrogate cultural, political, and gendered structures.

Holly Braniganمشاهده پروفایل

استاد

• Language Production
• Dialogue
• Language Development
• +۶ مورد دیگر

Holly Branigan is a Professor of Psychology of Language and Cognition at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences. Her research focuses on language production, dialogue, child language development, and bilingualism. She holds a Personal Chair and has led numerous grants including projects on conversational alignment in children with autism, language experience effects on development, and syntactic priming in dialogue. Her teaching includes undergraduate courses on Psychology of Language and postgraduate modules on Dialogue. She supervises PhD students in topics like syntactic processing, bilingualism, and interactional linguistics. Branigan has secured over £10M in research funding from bodies like the ESRC and EU, leading projects such as 'How does language experience support language development?' (2018–2023) and 'AThEME: Advancing European Multilingual Experience' (2014–2019). Her work explores how speakers adapt language based on social context, interlocutor traits, and cognitive factors. Key achievements include a 7-year ESRC fellowship (1999–2006), and recognition for contributions to understanding syntactic processing mechanisms. She currently leads research on child language imitation in social contexts and bilingual syntactic representation.

Skyler Wangمشاهده پروفایل

استادیار

• AI
• Technology
• Human-Computer Interaction
• +۷ مورد دیگر

Skyler Wang is an Assistant Professor of Sociology at McGill University, specializing in AI, technology, and human-computer interaction. He holds a Ph.D. from UC Berkeley and previously served as a Sociologist at Meta’s FAIR lab. His research critically examines sociotechnical systems' epistemic cultures and social impacts, focusing on AI-driven human-machine interactions in health, relational contexts, and digital platforms. His research interests include AI ethics, platform societies, digital intimacy, and multilingual systems. Notable works include the book project Sharing Bodies in the Sharing Economy , exploring Couchsurfing’s sociosexual dynamics, and applied AI projects like No Language Left Behind (doubling machine translation languages) and SeamlessM4T (awarded TIME’s 2023 Best Inventions). Teaching focuses on Technology & Society, Artificial Intelligence & Society, and Digital Intimacy. Advising roles include Major/Minor and Honours Sociology students. Active in interdisciplinary collaborations through McGill’s Quebec Inter-University Centre for Social Statistics and global AI ethics initiatives. Education: Ph.D. Sociology, UC Berkeley (2023) Key Affiliations: Meta FAIR Lab (prior), McGill Department of Sociology Publications in Nature , CSCW , Big Data & Society , and media features in WIRED, CNN, and NPR

Scott A. Haleمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Machine Learning
• Natural Language Processing (NLP)
• +۷ مورد دیگر

Dr Scott A. Hale is an Associate Professor and Senior Research Fellow at the Oxford Internet Institute (OII), University of Oxford, and a Fellow of the Alan Turing Institute. His work bridges computer science and social sciences, focusing on equitable information access, multilingual online dynamics, and misinformation mitigation. He holds degrees in Computer Science, Mathematics, and Spanish from Eckerd College, followed by a DPhil (PhD) in Social Data Science from the OII. Hale’s research has been supported by grants from UK Research and Innovation, the US National Science Foundation, and organizations like the Omidyar Network and the Alan Turing Institute. Key Roles: Programme on AI, Government & Policy; Director of Research at Meedan; Co-Director of the Social Data Science MSc Research Focus: Misinformation, multilingual systems, social media impact, and AI ethics Education: Eckerd College (BS), OII (MSc, DPhil). His DPhil explored social media design’s role in cross-language information sharing. Recent projects include the Digital Good Network and AI alignment studies. Articles highlight trends in multilingual misinformation detection, LLM cultural biases, and hate speech dynamics. Hale’s work bridges technical innovation with social science rigor to address global digital challenges. Awards: Alan Turing Institute Fellowship, recognition in Oxford’s Teaching Excellence Awards. Grants: Over 20 funding sources including DSO National Laboratories and Meta.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance Institutions
• Online Communities
• +۳ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis. His research focuses on computational social science, exploring governance institutions and complex human decision-making through computational methods, large datasets, and web-based experiments. He examines online communities as models of governance, with expertise in computational approaches to institutional design and strategic behavior analysis. Education: Ph.D. in Cognitive Science and Informatics, Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey's work integrates data science, lab experiments, and computational modeling to study human organizations and communication. Key areas include governance technology, cognitive mechanisms of social outcomes, and institutional evolution. His projects span online games, sports, and open-source software communities, emphasizing topics like collective action, self-governance, and cooperative behavior. Publications & Funding: His work appears in journals like PNAS and Nature Scientific Reports, and has been funded by NSF, NASA, and the Ford Foundation. He contributes to the Ostrom Workshop at Indiana University and directs the Computational Communication Lab at UC Davis. Teaching: Frey teaches courses on data visualization, simulation methods, and online data analysis in the social sciences.

Diogo Almeidaمشاهده پروفایل

دانشیار

• Neurolinguistics
• Language Processing
• Cognitive Science
• +۳ مورد دیگر

Diogo Almeida is an Associate Professor of Psychology and Global Network Associate Professor of Psychology at New York University Abu Dhabi. His research focuses on neurolinguistics and language processing, employing methodologies such as MEG/EEG, fMRI, and cross-linguistic studies. He holds an MSc in Cognitive Science from the Ecole des Hautes Etudes en Sciences Sociales and an PhD in Linguistics from the University of Maryland, College Park. Prior to NYU Abu Dhabi, he held positions at the University of California, Irvine, and Michigan State University. Almeida’s research explores perceptual processes underlying language understanding, including syntactic structure processing, agreement phenomena, and the neural bases of lexical access. His work integrates behavioral experiments with neuroimaging techniques to investigate how linguistic structures are represented in the brain. Key areas include sentence processing selectivity in Broca’s area, cross-linguistic differences in agreement encoding, and the role of phonological and morphological features in real-time language comprehension. His publications span topics like masked priming effects, sociolinguistic influences on speech perception, and the reliability of experimental syntax methods. He leads the Language, Mind and Brain research group at NYU Abu Dhabi, focusing on interdisciplinary approaches to language cognition. Almeida has contributed to debates on empirical rigor in syntax, advocating for robust experimental designs and large-scale data collection to validate theoretical claims.

Panayotis Mavromatisمشاهده پروفایل

دانشیار

• Cognitive Science
• Music Theory
• Computer Science
• +۳ مورد دیگر

Panayotis Mavromatis is an Associate Professor of Music and Music Education at New York University's Steinhardt School of Culture, Education, and Human Development. He holds affiliations with the Department of Music and Performing Arts Professions. His work bridges cognitive science, linguistics, and computer science with traditional music disciplines such as Schenkerian theory and post-tonal theory. B.A. and M.A. in Mathematics, Cambridge University M.A. in Physics, Boston University Ph.D. in Music Theory, Eastman School of Music (University of Rochester) His research focuses on mathematical modeling of musical structures, computational modeling of musical skill acquisition, and educational applications via Intelligent Tutoring Systems (ITS). Notable projects include computational models of modern Greek church chant and expressive timing analysis in music performance. Publications emphasize interdisciplinary approaches: applying hidden Markov models to melody production, multi-tiered analysis of performance timing, and integrating process-based learning into ITS for tonal counterpoint. His work spans theoretical contributions to practical educational tools. No scientific awards are explicitly listed in the provided text. Advising/grants section: No specific advisees or grant details are mentioned. His research aligns with NYU Steinhardt’s Music Education programs focusing on pedagogical innovation and cultural transmission. Labs/teams: While no specific lab names are provided, his research involves computational modeling frameworks and collaborations in interdisciplinary musicology.

Hugo Lundhaugمشاهده پروفایل

استاد

• Early Christian Literature
• Coptic Apocryphal Texts
• Manuscript Studies
• +۴ مورد دیگر

Hugo Lundhaug is a Professor of Biblical Reception and Early Christian Literature at the University of Oslo, affiliated with the Department of Theology. He leads the research group 'Coptic Texts and Manuscripts' and has held prestigious grants, including the ERC Consolidator Grant (2020-2025) and ERC Starting Grant (2012-2016). His work focuses on early Christian texts, particularly Coptic apocrypha, monastic manuscript culture, and the intersection of textuality with cognitive theory and digital humanities. Research Interests: Lundhaug explores the transmission and interpretation of early Christian literature, with a focus on Coptic-language texts from Egypt. His current projects analyze apocryphal texts within Byzantine and Islamic contexts, examining their role in monastic communities and debates over orthodoxy. Methodologically, he integrates new philology, media studies, and cognitive approaches to understand textual fluidity and manuscript practices. Key Publications: His recent work includes studies on the Nag Hammadi Codices, Shenoute of Atripe, and Coptic apocryphal literature. Notable articles address topics like textual authority, monastic worldbuilding, and the materiality of manuscripts. Awards: Lundhaug has received major grants from the European Research Council, reflecting his international standing in Coptic studies and early Christian textual scholarship. His leadership in digital initiatives, such as the Coptic Wordnet project, underscores his commitment to advancing interdisciplinary research. Labs/Teams: He directs the ERC-funded 'APOCRYPHA' project and collaborates with global networks in Coptic studies. His research group examines manuscripts as cultural artifacts, blending traditional philology with digital methodologies.

Hao Yuanمشاهده پروفایل

مدرس

• Chemical Kinetics
• Lithium-ion Battery
• Combustion
• +۳ مورد دیگر

Hao Yuan is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with the Institute for Advanced Automotive Propulsion Systems (IAAPS). His research focuses on Chemical Kinetics, Lithium-ion Batteries, Combustion, and Numerical Modelling, with a particular emphasis on improving engine efficiency and low-carbon technologies. He leads the JLR Prosperity Partnership project, a £5M EPSRC-funded initiative exploring electrified propulsion systems. Education: PhD in Mechanical Engineering (2013–2018), University of Melbourne MSc in Electrical Engineering (2009–2012), University of the Chinese Academy of Sciences BSc in Mechanical Engineering (2005–2009), Beijing Forestry University Research Interests: Dr. Yuan's work bridges computational modelling and experimental validation, addressing challenges in combustion optimization, thermal management, and sustainable energy systems. His studies on hydrogen internal combustion engines and fuel cell hybrid vehicles aim to advance low-emission propulsion technologies. Grants & Projects: JLR Prosperity Partnership (2021–2026) : Developing low-emission powertrains for future automotive systems. Labs/Teams: Active within IAAPS, collaborating on interdisciplinary projects to enhance automotive propulsion sustainability.

• Computational Linguistics
• Text Summarization
• Information Extraction
• +۶ مورد دیگر

Horacio Saggion is the Chair in Computer Science and Artificial Intelligence at the Department of Information and Communication Technologies, Universitat Pompeu Fabra. He leads the TALN Group and the Large Scale Text Understanding Systems Lab. His research focuses on Computational Linguistics, with specialties in Text Summarization, Information Extraction, and Semantic Analysis. He coordinates the Horizon Europe iDEM project on inclusive democratic spaces and previously led the SignON project for Sign Language Translation. Key technologies include the SUMMA Summarization system and the Dr Inventor Text Mining Library. Education: PhD, MSc, and Licenciatura in Computer Science. Research Interests: Text simplification for accessibility, sign language translation, misinformation detection, and ethical AI applications. His work bridges natural language processing with societal needs such as clear communication in public administration. Grants & Projects: Coordinator of iDEM (Horizon Europe), PI of SignON, Simplext, and Able to Include. Involved in BEA shared tasks and CLEF labs. Active in organizing workshops like TSAR at EMNLP. Labs & Teams: Head of TALN Group and Text Understanding Lab. Collaborations include Universitat Pompeu Fabra's interdisciplinary initiatives and industry partnerships for technology commercialization.

• Artificial Intelligence
• Natural Language Processing
• Computational Semantics
• +۵ مورد دیگر

Luis Espinosa-Anke is a Senior Lecturer at Cardiff University's School of Computer Science and Informatics. His academic journey includes working as a Natural Language Processing (NLP) scientist at Savana Médica, a Madrid-based healthcare AI company, prior to joining Cardiff. He completed his PhD at Pompeu Fabra University in Barcelona while working at Savana. Dr. Espinosa-Anke's research focuses on Artificial Intelligence and NLP, with particular emphasis on meaning representation, computational semantics, multilingual NLP, and computational lexicography. His work spans theoretical and applied aspects of language technology, with applications in healthcare, social media analysis, and multilingual systems. His recent publications reveal a strong trend toward analyzing language model behavior, bias detection in AI systems, and creating resources for semantic analysis. The publications show increasing focus on practical applications of NLP in healthcare, social media, and cross-lingual settings, with notable contributions to datasets like WIKITIDE and 3D-EX that support definition extraction and semantic understanding. laCaixa Fellow Fulbright scholarship recipient Erasmus Mundus program participant Dr. Espinosa-Anke has secured research funding including a Kaggle Open Research grant ($2,000 USD) as PI for the 'Don't Patronize Me!' project, a Snap Inc. grant ($10,000 USD) as CO-I for modeling meaning shift in social media, and a £90,000 Welsh Government grant for English-Welsh bilingual embeddings research. He currently supervises five PhD students working on meaning representations, contextual word embeddings, NLP for healthcare applications, and metaphor identification.

Alexandra Georgakopoulouمشاهده پروفایل

استاد

• Discourse Analysis
• Narrative Analysis
• Small Stories Research
• +۷ مورد دیگر

Prof. Alexandra Georgakopoulou is a Professor of Discourse Analysis & Sociolinguistics at King’s College London’s School of Education, Communication & Society, leading the Centre for Language, Discourse & Communication (LDC). She specializes in narrative analysis, small stories research, and sociolinguistics, focusing on identity construction in digital and everyday contexts. Her work bridges discourse studies, digital communication, and cultural analysis, with notable contributions to understanding how social media platforms shape storytelling and identity through affordances like metrics and curation. Affiliations: King’s College London, Centre for Digital Culture, and .Ego-Media (ERC-funded project, 2014–2019). Research Interests: Discourse analysis, small stories, identity politics, social media communication, and Greek sociolinguistics. Her research examines how digital platforms mediate identity through practices like ‘formatted authenticity’ on TikTok and quantified storytelling. Recent works include Influencer Discourse: Affective Relations & Identities (2024) and Small Stories Research: Tales, Tellings, and Tellers Across Contexts (2023). She has supervised over 50 PhD students globally, focusing on discourse, narrative, and sociolinguistics across languages and cultures. Key contributions include developing the ‘small stories’ paradigm, analyzing narratives-in-interaction, and studying the Greek financial crisis via micro-stories. Awards include the 2024 KingsCAT Prize for social media research tools.

Yuan Chaiمشاهده پروفایل

مدرس

• Voice Quality
• Phonetics
• Language Documentation
• +۳ مورد دیگر

Yuan Chai is a post-doctoral fellow in the Department of Linguistics at the University of Washington, supervised by Professor Richard Wright. They serve as instructor-of-record for courses including Introduction to Linguistic Phonetics and Computational Methods for Linguists . Education: Ph.D. in Linguistics, UC San Diego M.A. in Linguistics, University of Colorado Boulder Dr. Chai specializes in experimental phonetics with emphasis on voice quality (breathy, creaky, falsetto), tone systems, and checked syllables. Their fieldwork documents endangered languages like Yateé Zapotec (Oaxaca, Mexico) and Xiapu Min (Fujian, China), analyzing phonation-tone interactions through acoustic and perceptual studies. Current projects include building a Living Dictionary for Yateé Zapotec with community audio recordings. Recent publications demonstrate consistent focus on multi-dimensional phonetic contrasts, particularly how glottalization position/duration affects perception in Zapotec, and tone sandhi neutralization in Xiapu Min. Work spans journal articles (JASA, Languages), conference presentations (ICPhS, ASA), and collaborative book chapters. Dr. Chai collaborates extensively with native speakers (Briseida Mendez, Adrián Fernández) and researchers (Patricia Keating, Marc Garellek, Jody Kreiman) across institutions. They maintain active GitHub repositories for computational linguistics tools and prioritize open-access language documentation resources.