جست‌وجوی استاد و پژوهشگر

Nicholas Evansمشاهده پروفایل

استاد

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

• Psycholinguistics
• Cognitive Psychology
• Speech Prosody
• +۴ مورد دیگر

Andrés Buxó-Lugo serves as an Assistant Professor of Psychology at the University at Buffalo, where he directs the Language Processing and Computation Lab. His research investigates the cognitive mechanisms underlying language production, comprehension, and acquisition with a specialized focus on speech prosody—the rhythm, intonation, and intensity patterns in speech—and their role in human communication. His primary research interests include psycholinguistics, cognitive psychology, speech prosody, language production, language comprehension, language acquisition, and computational linguistics. He examines how listeners integrate diverse linguistic cues during speech processing, how individuals learn unfamiliar constructions like non-native pronunciations or novel prosodic patterns, and the cognitive basis of durational changes in speech. His work also explores how communicative context shapes prosodic production and how higher-level linguistic information aids prosodic structure parsing. Analysis of his 15 most recent publications (2019-2025) reveals consistent interdisciplinary work bridging cognitive science, linguistics, and computational modeling. Key trends include phonological representation studies, speech planning mechanisms, intonation adaptation across talkers, lexical representation structures, and the integration of input expectations in syntactic parsing. His research demonstrates significant methodological diversity, incorporating experimental paradigms, computational modeling, and acoustic analysis to unravel language processing complexities. As director of the Language Processing and Computation Lab at the University at Buffalo, Buxó-Lugo leads research initiatives focused on developing computational models of language processing while investigating the cognitive foundations of speech and prosody through empirical experimentation and theoretical innovation.

Mina Leeمشاهده پروفایل

استادیار

• Writing with AI
• Human-AI Interaction
• Natural Language Processing
• +۳ مورد دیگر

Mina Lee is an Assistant Professor in Computer Science at the University of Chicago, affiliated with the Data Science Institute and Cognitive Science. Her research focuses on 'Writing with AI,' exploring how AI transforms writing processes, content, and identities. She designs AI writing assistants and evaluates human-AI collaboration through user studies and experiments, addressing ethical implications like authorship norms and educational impacts. Education: Ph.D. in Computer Science from Stanford University (2023), advised by Percy Liang. B.S. in Computer Science from Korea University (2016). Postdoctoral research at Microsoft Research's Computational Social Science group (2023–2024). Research interests span Human-Computer Interaction (HCI), NLP, and computational social science. She co-founded workshops on Intelligent Writing Assistants and Human-centered Evaluation of Language Models. Notable awards include MIT Technology Review's Innovators Under 35 Korea (2022) and a Best Paper Award at GPCE 2016. Her work has been published in top venues like CHI, ACL, NeurIPS, and Nature Human Behavior. She advises PhD students on AI-assisted writing, cognitive augmentation, and safe generative models. Current lab projects include designing explainable AI tools and studying AI disclosure norms in writing.

Joseph Eremondiمشاهده پروفایل

استادیار

• Programming Languages
• Type Theory
• Dependent Types
• +۱۲ مورد دیگر

Joseph Eremondi is an Assistant Professor in the Department of Computer Science at the University of Regina, Faculty of Science, Canada. He began his tenure in 2024 after serving as a Royal Society Newton International Fellow at the University of Edinburgh, where he conducted postdoctoral research with Ohad Kammar in the Laboratory for Foundations of Computer Science. He earned his PhD from the University of British Columbia (UBC) under the supervision of Ron Garcia at the UBC Software Practices Laboratory. His research is centered on programming languages theory, with a strong focus on type systems that enhance software reliability and usability. He is particularly known for his work in dependent types, gradual typing, and the integration of both paradigms. His research interests include: Dependent pattern matching and its semantic foundations Gradual dependent types and approximate normalization Error message generation and usability in dependently typed languages Static analysis using set constraints and SMT solvers Theoretical properties of reversal-bounded counter automata and shuffle operations His recent publications, appearing in premier venues like POPL, ICFP, and CPP, reflect a consistent trajectory toward making advanced type systems more accessible and practical. Key themes include coverage semantics for dependent pattern matching, formal models of gradual dependent typing, and improving the developer experience through better tooling and error diagnostics. Notable scientific recognitions include the NSERC Discovery Grant (awarded in 2025) and the prestigious Royal Society Newton International Fellowship. These awards underscore the impact and promise of his research program on the usability of dependently typed programming languages. Joseph is actively mentoring and recruiting graduate students, particularly in areas such as dependently typed programming (Lean, Agda, Idris, Coq), gradual typing, live programming environments, and static analysis. He emphasizes close collaboration within a small, focused research group. He has also served on program committees, including for TyDe and POPL Artifact Evaluation, demonstrating active engagement in the programming languages community. His work bridges theoretical rigor with practical implementation, evident in his artifact releases on GitHub and integration with tools like Ott and DrRacket. He maintains a personal website and open-source repositories that support reproducibility and community involvement.

• Digital Well-being
• Human-Microbe Interaction
• Neo-cybernetics
• +۷ مورد دیگر

Dominique Chen is a Professor at Waseda University's School of Culture, Media and Society since 2022, previously serving as Associate Professor from 2017-2022. A French national born in 1981, he holds a Ph.D. in Interdisciplinary Informatics from the University of Tokyo (2013). His work bridges technology, art, and human experience with a focus on digital well-being and more-than-human relationships. Chen's research interests include human-microbe interaction, neo-cybernetics, and the design of systems that foster mutual care between humans and non-human entities. His work with the Nukabot project exemplifies this interdisciplinary approach, exploring how fermentation processes can serve as metaphors for communication and relationship building. He leads the Ferment Media Research group, investigating how fermentation principles apply to digital cultures and communication systems. His recent publications reveal a consistent focus on designing for well-being in digital societies, with particular attention to translation processes, human-microbe relationships, and the creation of systems that support co-adaptive interaction. The Nukabot research series demonstrates how traditional fermentation practices can inform novel interaction paradigms that acknowledge and incorporate more-than-human perspectives. Best Paper Honorable Mention (2024) - ACM Synlogue with Aizuchi-bot ACM SIGGRAPH Special Prize (2023) - Nukabot Best of AppStore 2015/2016 - Picsee/Syncle applications Good Design Award (2008) - Creative Commons Japan Super Creator certification (2009) - IPA Exploratory IT Program Chen has advised numerous projects through his leadership of Ferment Media Research and has served on various committees including the Good Design Award jury (2016-), Yomiuri Shimbun Reading Committee, and advisory boards for art and design institutions. His work extends beyond academia through his founding of Divideal Inc. (acquired by Smart News in 2018) and Creative Commons Japan (now Commonsphere). His laboratory, Ferment Media Research, explores interdisciplinary connections between fermentation processes, digital systems, and human relationships, creating installations like Nukabot that facilitate human-microbe interaction and Last Words/TypeTrace that examines writing processes and communication.

Patrick Sturtمشاهده پروفایل

دانشیار

• Psycholinguistics
• Syntactic processing
• Language comprehension
• +۵ مورد دیگر

Patrick Sturt is a Reader in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on syntactic processing in language comprehension, computational models of incremental parsing, anaphor resolution, and eye movements in reading. With over 100 publications and more than 3,300 citations, he is a recognized expert in psycholinguistics and language processing. Dr. Sturt's research interests span multiple areas of language processing. He investigates how humans comprehend sentences in real-time, with particular focus on syntactic structures, agreement phenomena, and anaphoric reference. His work often employs eye-tracking methodologies to examine the moment-by-moment processing of linguistic information. He has made significant contributions to understanding how readers handle syntactic ambiguities, garden-path sentences, and the role of prediction in language comprehension. His recent publications demonstrate a strong focus on cross-linguistic studies, particularly examining language processing in Mandarin Chinese and Korean. Many of his studies investigate how syntactic and semantic information interact during comprehension, and how linguistic structures like honorifics, classifiers, and non-canonical word orders are processed. His work bridges theoretical linguistics with experimental psycholinguistics, providing empirical evidence for models of sentence processing. Dr. Sturt actively supervises PhD students including Carine Abraham, Wenjia Cai, Chiuchou Hao, Ruomeng Zhu, and Christy Gu. He teaches Psychology of Language 1 and 2 at the MSc level, as well as Data Analysis for Psychology in R for first-year undergraduates. His teaching reflects his research expertise, providing students with both theoretical knowledge and practical analytical skills. Based in Room G29 of the Psychology Building at 7 George Square, Edinburgh, Dr. Sturt maintains regular office hours on Tuesdays from 3-4pm, providing accessibility to students and colleagues. His email address is patrick.sturt@ed.ac.uk.

Andrea Greveمشاهده پروفایل

مدرس

• Cognitive Psychology
• Memory Studies
• Neuroscience
• +۳ مورد دیگر

Dr Andrea Greve is a Lecturer in the Department of Psychology at the University of Cambridge . Her research focuses on cognitive processes related to memory, prediction error, and learning mechanisms. Key areas of interest include declarative memory formation, semantic predictions, and the influence of novelty on memory retention. She has explored topics such as word learning in variable-choice paradigms, the role of hippocampal lesions in memory binding, and predictive coding in neuroimaging contexts. Her work integrates experimental psychology with neuroscience methodologies, particularly leveraging neuroimaging techniques to investigate memory systems. Notable contributions include studies on false memory effects, the nonmonotonic relationship between object-location memory and expectedness, and the impact of prior knowledge on memory encoding. Dr. Greve has also contributed to methodological advancements, such as improved MRI anonymization for MEG coregistration. While her research spans multiple decades, recent efforts (2023–2025) emphasize predictive frameworks and their applications in understanding cognitive phenomena like semantic surprise and episodic memory formation. Her findings challenge traditional assumptions about fast mapping in adults and highlight the importance of integrating computational models with empirical data. Dr. Greve collaborates extensively with neuroimaging and cognitive science teams, contributing to interdisciplinary projects that bridge theoretical and applied research in memory systems. Her work maintains a strong focus on methodological rigor, particularly in experimental design and data interpretation.

• Computational Sociology
• Gender Studies
• Social Movements
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +۴ مورد دیگر

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

Jinhan Kimمشاهده پروفایل

پژوهشگر

• Software Engineering
• Mutation Testing
• Fault Localization
• +۴ مورد دیگر

Jinhan Kim is a Postdoctoral Researcher at the Università della Svizzera italiana (USI) in the Faculty of Informatics, working in the TAU lab under Prof. Paolo Tonella. He earned his Ph.D. from KAIST under Prof. Shin Yoo, focusing on software engineering research in mutation testing, fault localization, and deep learning system testing. His work bridges traditional software engineering techniques with AI-driven methodologies, emphasizing AI4SE and SE4AI paradigms. Education: Ph.D. in Software Engineering, KAIST, 2023 Research Interests: Mutation Testing Deep Learning System Testing Autonomous Systems Testing Adversarial Attack Detection Empirical Software Engineering Service and Leadership: Organized SBFT 2026 and DeepTest 2026 (co-located with ICSE 2026) Program Committee Member for ASE, ISSTA, Mutation, and DeMeSSAI Board of Distinguished Reviewers for TOSEM (2024–2025) Labs and Teams: Active contributor to the TAU Lab at USI, focusing on advanced software testing and AI integration.

François Alexandreمشاهده پروفایل

پژوهشگر ارشد

• Historical Linguistics
• Comparative Linguistics
• Pacific Languages
• +۳ مورد دیگر

François Alexandre is a Senior Research Fellow (Research Fellow) at the CNRS, holding tenured positions in departments LaCiTO (2015–2018) and LaTTiCe (2018–present). He concurrently serves as Honorary Associate Professor in the School of Culture, History & Language at the Australian National University (ANU). He leads major research initiatives such as the ComPLETE project on complex predicates and the HéLiCéO project on Pacific languages preservation. Education: PhD in Linguistics (2001, Université Paris IV Sorbonne), Habilitation à Diriger des Recherches (2014, INALCO). His work focuses on Oceanic languages of Vanuatu and Solomon Islands, emphasizing grammatical description, typology, and language documentation. He conducted extensive fieldwork in Vanuatu (since 1997) and Solomon Islands (since 2005), producing 15+ educational books and bilingual dictionaries for endangered languages. Research interests include linguistic typology, language dynamics, areal linguistics, and semantic change. Recent projects involve semantic databases (Evo Sem) and collaborative archival efforts. Awards include the CNRS Bronze Medal (2004) and election to Academia Europeae (2020). Grants: PI of ANR grant (2004–2007), ELDP Legacy Grant (2017–2018) Service: Convenor of 7 research groups, editor for 3 journals, organizer of major conferences (ICAL11, APLL9) Labs/Teams: Leads CNRS research units and collaborates internationally on language revitalization projects.

Adam Albrightمشاهده پروفایل

استاد

• Phonology
• Morphology
• Language Acquisition
• +۴ مورد دیگر

Adam Albright is a Professor of Linguistics at the Massachusetts Institute of Technology (MIT). His research focuses on phonology, morphology, language acquisition, and computational linguistics. Education Ph.D. in Linguistics, UCLA, 2002. Dissertation: "The identification of bases in morphological paradigms" M.A. in Linguistics, UCLA, 1998. Thesis: "Phonological subregularities in productive and unproductive inflectional classes: Evidence from Italian" B.A. in Linguistics and Religious Studies, Cornell University, 1996. Senior Thesis: "The history of stress in Welsh, and the analysis of historical change in OT" Research Interests Albright's main research projects include: Experimental testing and computational modeling of gradient phonotactic well-formedness Investigating the organization of paradigms (base selection and learning) Testing the psychological reality of morphological processes via Wug tests Understanding paradigm gaps Computational modeling of historical change Collaboration with Bruce Hayes on learning algorithms He also has interests in Yiddish and Lakhota phonology and morphology, and the history of stress in Welsh. Teaching He has taught courses at MIT and UC Santa Cruz, including: Advanced Phonology Language Acquisition Sound Change and Phonological Theory Modeling Phonological Learning Language Change Computational Morphology & Phonology Collaborations Albright collaborates with Bruce Hayes (UCLA) on computational modeling of phonological and morphological learning. Contact Email: albright@mit.edu Office: 32-D830, MIT Mailing Address: MIT Linguistics and Philosophy, 77 Massachusetts Avenue, 32-D808, Cambridge, MA 02139, USA

Karin H. Jamesمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Developmental Psychology
• Brain and Behavior
• +۵ مورد دیگر

Karin H. James is a Professor and Director of Graduate Studies in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences, actively reviewing applications for Fall 2026 admissions. Her research program investigates how self-generated actions shape cognitive development through neural mechanisms. Her educational background includes: Post Doctoral Fellow, Vanderbilt University (2001-2003) Ph.D. in Psychology, University of Western Ontario (2001) M.A. in Psychology, University of Western Ontario (1998) B.S. in Psychology, University of Toronto (1996) B.A. in History, University of Toronto (1991) Dr. James' research centers on the neural correlates of learning, specifically how motor experience influences visual recognition across domains including object recognition, reading acquisition, language learning, and mathematical understanding. Using fMRI and behavioral methods, she examines how sensorimotor interactions during symbol production (e.g., handwriting) reconfigure brain networks for perception. Her work demonstrates that visual-motor contingency during learning creates lasting neural changes that enhance recognition, with implications for educational practices in literacy and numeracy development. Analysis of her 2018-2021 publications reveals consistent focus on embodied cognition principles, particularly how action-perception loops establish neural representations. Key themes include gesture-based learning in mathematics, visual-motor integration in symbol recognition, and category formation mechanisms, bridging cognitive neuroscience with developmental psychology through innovative methodologies like the MRItab neuroimaging tool. Dr. James maintains active membership in the Society for Research in Child Development (2007-present), Cognitive Neuroscience Society (2004-present), and Vision Sciences Society (2000-present), reflecting her interdisciplinary approach to learning mechanisms. As Director of Graduate Studies, she oversees program development and student mentorship while leading the Cognition and Action Neuroimaging Lab. Her research infrastructure includes specialized neuroimaging tools developed for naturalistic experimental paradigms, supporting investigations into how embodied experiences shape cognitive architecture from childhood through adulthood. The Cognition and Action Neuroimaging Lab develops cutting-edge methodologies like the MRItab touchscreen system to study naturalistic learning during fMRI scanning, focusing on how sensorimotor experiences during symbol production reconfigure neural networks for perception and recognition across developmental stages.

Nicole Hartnettمشاهده پروفایل

پژوهشگر ارشد

• Advertising Effectiveness
• Brand Management
• Consumer Behaviour
• +۷ مورد دیگر

Dr. Nicole Hartnett is a Senior Marketing Scientist at the Ehrenberg-Bass Institute for Marketing Science, University of South Australia, where she conducts high-impact research on advertising effectiveness, brand performance, and consumer behavior. She serves as Associate Editor of the Journal of Advertising Research , contributing to the advancement of marketing science globally. Research Focus: Nicole's work centers on how advertising content influences sales, with particular emphasis on creative drivers, distinctive brand assets, and media planning. Her research integrates data analytics with behavioral insights to improve advertising measurement and strategic decision-making for consumer packaged goods companies. Her recent publications reveal a consistent focus on advertising effectiveness, brand health, and consumer response across digital and traditional media. She frequently investigates how brands perform when advertising is reduced or paused, the role of attention in video ads, and the validity of persuasion frameworks—demonstrating a strong commitment to evidence-based marketing. Scientific Recognition: Associate Editor, Journal of Advertising Research Prolific contributor to top-tier marketing journals including International Journal of Market Research , European Journal of Marketing , and Australasian Marketing Journal Advising & Grants: While no formal students are listed, Nicole collaborates extensively with global sponsors of the Ehrenberg-Bass Institute, managing brand health trackers and delivering strategic insights. Her work is applied in real-world contexts with major CPG firms, suggesting active engagement in funded research projects and industry partnerships. Labs & Teams: She is a core member of the Ehrenberg-Bass Institute, the world’s largest center for marketing science research, working within a team of over 60 marketing scientists focused on evidence-based brand growth.

• Psycholinguistics
• Speech Production
• Speech Comprehension
• +۳ مورد دیگر

Seung Kyung Kim serves as an Assistant Professor (Lecturer) in the Department of Linguistics at the University of Utah, a position held continuously since July 2022. She actively teaches undergraduate courses including Language & Culture, Language Myths, Introduction to Phonetics and Phonology, and Introduction to Sociolinguistics across multiple semesters from 2023-2024, demonstrating consistent engagement in the university's academic mission within the linguistics discipline. Her research centers on psycholinguistics with specialized expertise in speech production and comprehension mechanisms, extending into second language acquisition, sociolinguistics, and phonetics. Kim investigates how social factors—particularly accent variation, emotional prosody, and ideological frameworks—impact real-time language processing through methodologies like eye-tracking and auditory-visual priming. Her work reveals critical insights into incremental processing in native and non-native speakers, especially regarding Korean case marking systems and cross-linguistic transfer effects. Analysis of Kim's publication trajectory from 2013-2024 shows evolving focus from foundational studies on emotional prosody in word recognition toward contemporary investigations of linguistic bias in veracity judgments and sociolinguistic variation. Her research consistently bridges cognitive processing with social representation, exemplified by the dual-route speech perception model integrating linguistic and social information. Recent work demonstrates methodological rigor through preregistered replication studies examining Polish-accented English comprehension. No scientific awards or major grants are documented in available records, though her scholarship appears in high-impact journals including Studies in Second Language Acquisition and The Journal of the Acoustical Society of America. While teaching records confirm active curriculum delivery across eight distinct courses with multiple sections annually, information regarding student advising, research laboratories, or collaborative teams remains unspecified in current materials.