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Christos TroussasView profile

Assistant Professor

• Adaptive Hypermedia Systems
• Artificial Intelligence in Education
• Human-Centered Artificial Intelligence
• +3 more

Christos Troussas is an Assistant Professor at the Department of Informatics and Computer Engineering, University of West Attica. His research focuses on adaptive hypermedia systems, artificial intelligence in education, human-centered AI, and human-computer interaction. He holds a PhD in Informatics from the University of Piraeus, along with MSc and BSc degrees in related fields. Education Background: PhD in Informatics, University of Piraeus MSc in Intelligent Technologies of Human-Computer Interaction, University of Piraeus BSc in Informatics, University of Piraeus Research Interests: His work emphasizes personalized software engineering, adaptive systems in education, and the integration of AI with pedagogical theories. He explores technologies like augmented reality (AR) and fuzzy logic for enhancing learning experiences, particularly for special education needs and spatial skill development. Publication Trends: Recent publications highlight advancements in neuro-symbolic systems, gamified learning environments, and reinforcement learning for adaptive interfaces. He consistently addresses challenges in educational technology adoption and user-centric design. Editorial & Professional Roles: Academic Editor of Advances in Human-Computer Interaction and Editorial Board member of multiple journals. Technical Program Committee member at international conferences. Grants & Collaborations: Participated in national/international research projects focusing on AI-enhanced educational tools and digital learning frameworks.

• Computational Linguistics
• Natural Language Processing
• Sociolinguistics
• +6 more

Rob Voigt is an Assistant Professor of Linguistics and Courtesy Professor of Computer Science at Northwestern University, directing the Linguistic Mechanisms Lab. He holds affiliations with the Institute for Policy Research and Cognitive Science Program. His research focuses on computational linguistics applied to social issues like policing, mental health, and immigration, using NLP methods to analyze body camera footage, historical texts, and social media discourse. Education includes a PhD in Linguistics (Stanford, 2019) with a dissertation on police-community interaction, an MA in East Asian Studies (Stanford, 2013), and a BA in Chinese from Vassar College (2008). He has received prestigious awards including the Cozzarelli Prize (2017) and Cialdini Prize (2018). Recent projects include multimodal policing analysis, cross-lingual NLP models (GreenPLM), and computational studies of French rap lyrics. He leads grants totaling $4.4M, including NIH-funded studies on psychosis indicators and language in autism. Teaching includes courses on computational linguistics and text processing for linguists. His lab explores intersections of language, technology, and social justice, with over 40 publications. Collaborations span social sciences, computer science, and public policy. He maintains a music career under 'facsimiles' and created the board game 'Who Got It?!'.

Peter JenksView profile

Associate Professor

• Syntax
• Crosslinguistic Variation
• Syntax-Semantics Interface
• +7 more

Peter Jenks is an Associate Professor in the Department of Linguistics at the University of California, Berkeley. He holds a Ph.D. in Linguistics from Harvard University, an M.A. from UC San Diego, and an A.B. from Dartmouth College. His research bridges syntax, semantics, and phonology, with specialization in East/Southeast Asian and African languages, particularly Thai and Moro. Research focuses on crosslinguistic variation in noun phrases, definiteness, quantification, and phonological domains. Recent work examines syntax-phonology interactions and indexed definiteness in understudied languages. Publications demonstrate consistent focus on interface phenomena, with recent articles exploring hyperraising in Moro (2025), definiteness in Guébie (2024), and syntactic quantification. His 55+ publications show strong emphasis on empirical fieldwork and theoretical innovation. UC Berkeley Distinguished Teacher Award (2023) Certificate of Distinction in Teaching, Harvard University (2008-2010) Outstanding Graduate in Linguistics, Dartmouth College (2004) Advises 16+ graduate students and serves on dissertation committees. Secured NSF and Hellman Faculty Fellowships. Co-directs the Moro Story Corpus project and co-authored a Moro grammar with Language Sciences Press.

Ali EmamiView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Common Sense Reasoning
• +5 more

Ali Emami is an Assistant Professor in the Department of Computer Science at Brock University (Canada), with a tenure-track position at Emory University starting Fall 2025. His research focuses on natural language processing, machine learning, and AI ethics, particularly evaluating large language models' reasoning and societal impacts. He holds a PhD in Computer Science from McGill University/Mila (2021), with prior degrees from McGill in MSc (2016) and BSc (2014). Research interests include: Natural Language Processing (NLP) and Machine Learning Ethics, bias, and fairness in AI Language understanding and generation AI interpretability and reliability Computational social science Recent work emphasizes benchmarking LLMs' reasoning capabilities (e.g., NYT-Connections, STOP!) and addressing societal bias through books. Notable achievements include the COLING 2025 Best Dataset Award and the EMNLP 2024 Social Impact Award . He has supervised multiple undergrad and graduate researchers, with a focus on fostering collaborative projects. His lab explores personalized narrative generation (MirrorStories) and tool-augmented LLM evaluation frameworks (TALE). Upcoming roles include a talk at the FirstOntario Performing Arts Centre on LLMs' societal mirrors and a 2024 teaching award from Brock’s Faculty of Mathematics & Science.

Nicholas FleisherView profile

Associate Professor

• Formal Semantics
• Syntactic Theory
• Comparative Structures
• +1 more

Nicholas Fleisher is Associate Professor and Chair of Linguistics at University of Wisconsin-Milwaukee, holding PhD and MA from UC Berkeley and BA from Yale. Teaches syntax, semantics, and linguistic theory. Research examines compositional semantics within syntactic structures, particularly negation, quantification, and comparative morphology. Recent work analyzes compulsory binding phenomena, factive environments in degree constructions, and nominal quantifier behavior. Publications demonstrate rigorous formal analysis of syntactic-semantic interfaces, with theoretical contributions to negation scoping, tough-construction adjectival behavior, and embedded question semantics.

• Natural Language Processing
• Software Engineering
• Artificial Intelligence

Vincent Ng is a Professor of Computer Science at UT Dallas' Erik Jonsson School. His research focuses on Natural Language Processing, Software Engineering, and AI. He obtained his PhD from Cornell University (2004) and BS from Carnegie Mellon University (1997). His research explores NLP techniques applied to software engineering challenges, including automated bug reporting and code analysis. Recent publications show strong emphasis on legal AI, educational technology, and multimodal systems. Major awards include: ICSE'24 ACM SIGSOFT Distinguished Paper Award (2024) AAAI-20 Blue Sky Idea Award (2020) ECS Outstanding Faculty Teaching Award (2019) He advises doctoral students including Jing Lu and Oscar Chaparro, and leads projects supported by NSF grants. Affiliated with the Center for Machine Learning and Language Processing.

Amit AlmorView profile

Associate Professor

• Psycholinguistics
• Neuroimaging
• Language Processing
• +3 more

Amit Almor is Associate Professor in Psychology and Director of the Experimental Psychology Program at the University of South Carolina. His research examines language processing using neuroimaging, with focus on discourse reference, aging, and dementia. Key investigations include neural mechanisms of pronoun/anaphor processing, spatial language cognition, and conversational interference effects. Clinical work explores linguistic markers in Alzheimer's and Huntington's disease. Funded by NSF and NIH grants including 'The neural basis of processing discourse reference'. Teaches graduate seminars in Cognitive Neuroscience, Psycholinguistics, and Bayesian Modeling. Recipient of multiple teaching commendations.

• Multimodal Communication
• Visual Language
• Cognitive Linguistics
• +2 more

Joost Schilperoord is an Assistant Professor in the Department of Communication and Cognition at Tilburg University. His research examines multimodal communication, visual narrative grammar, and cognitive processes in interpreting sequential images. Dr. Schilperoord develops theoretical frameworks for understanding visual languages and their structural parallels with linguistic syntax. His work combines corpus analysis, psycholinguistic experiments, and neurocognitive methods to study how meaning is constructed across verbal and visual modalities. Current projects investigate anaphoric dependencies in comics and cross-cultural patterns in visual narrative comprehension.

Karsten DonnayView profile

Assistant Professor

• Digital Democracy
• Political Behavior
• Computational Social Science
• +3 more

Karsten Donnay is an Assistant Professor of Political Behavior and Digital Media at the University of Zurich's Department of Political Science, affiliated with the Digital Society Initiative. Previously, he held positions at the University of Konstanz and ETH Zurich. He earned his PhD in Computational Social Science from ETH Zurich and conducted postdoctoral research at the Graduate Institute Geneva and the University of Maryland. His research focuses on digital democracy, examining how digital technologies reshape political behavior, communication, and democratic processes. Key areas include media bias, hate speech mitigation, and the impact of digitalization on political participation. He leads projects like 'Improving Public Discourse' (funded by the Swiss National Science Foundation) and 'StopHateSpeech,' and co-developed software tools for data analysis and visualization. Teaching responsibilities include courses on digital democracy, conflict in the digital age, and digital transformation. He collaborates across disciplines, serving on the executive board of the University of Zurich's Population Research Center and contributing to initiatives like the DigiVox survey panel on digitalization's societal impacts.

Stuart M. ShieberView profile

Professor

• Computational Linguistics
• Computer Science
• Artificial Intelligence
• +7 more

Stuart M. Shieber is the James O. Welch, Jr. and Virginia B. Welch Professor of Computer Science at Harvard University's School of Engineering and Applied Sciences (SEAS), with affiliations in Linguistics and Philosophy. He specializes in computational linguistics, exploring intersections of computer science, linguistics, and artificial intelligence. His research spans natural language processing, formal grammar, machine translation, and interdisciplinary areas like automated graphic design, privacy mechanisms, and computational biology. Education: AB summa cum laude in Applied Mathematics (Harvard College, 1981); PhD in Computer Science (Stanford University, 1989) Research Interests: Synchronous grammars, psycholinguistic modeling, privacy-preserving auctions, and open-access publishing policies. Awards: Presidential Young Investigator Award (1991), multiple fellowships, and honorary chairs like Harvard College Professorship (2001). Courses: CS51 (Abstraction and Design), CS187 (Computational Linguistics), and Empirical and Mathematical Reasoning courses. Grants & Roles: Founder of the Center for Research on Computation and Society, director of Harvard's Office for Scholarly Communication, and co-founder of Cartesian Products Inc. and Microtome Publishing. His work on synchronous tree-adjoining grammars and the philosophical underpinnings of the Turing Test has been seminal. Recent publications address neural language models, causal syntax analysis, and conversational AI.

Andrew KehlerView profile

Professor

• Linguistics
• Pragmatics
• Discourse Interpretation
• +5 more

Andrew Kehler is a Professor in the Department of Linguistics at the University of California, San Diego (UCSD). He directs the Computational Linguistics Lab, focusing on interdisciplinary research in pragmatics, discourse interpretation, and computational linguistics. His work bridges theoretical linguistics, psycholinguistics, and computational models. Kehler has advised multiple graduate students, including current student Penny Pan and recent graduate Joshua Wampler. His research spans topics like ellipsis, pronoun interpretation, Bayesian models of discourse, and the Question Under Discussion (QUD) framework. He has taught courses such as 'Making and Breaking Codes' and 'Pragmatics,' and holds editorial roles in journals like PLOS ONE and Frontiers in Language Sciences. Kehler earned his Ph.D. in Computer Science from Harvard University and has held positions at SRI International and Xerox PARC. His lab, located in AP&M 2442, actively explores discourse coherence, referential processes, and language processing mechanisms. Education: Ph.D. in Computer Science, Harvard University (1995) S.M. in Computer Science, Harvard University (1994) B.S.E. in Computer Science and Engineering, University of Pennsylvania (1988) Research Interests: Kehler’s work centers on discourse coherence, anaphora resolution, and the interplay between syntax, semantics, and pragmatics. He develops computational models of pronoun interpretation and ellipsis, emphasizing Bayesian approaches and experimental validation. His recent studies explore how large language models (LLMs) handle pragmatic enrichments like elicitures, and how discourse context influences linguistic processing. Key themes include coherence-driven explanations, QUD-based licensing of ellipsis, and cross-linguistic studies of pronoun systems. Recent Contributions: Recent articles address sluicing with nominal antecedents, Bayesian approaches to German pronouns, and conversational elicitures. His work often combines formal theory with psycholinguistic experiments, bridging computational and empirical methods. Kehler’s lab collaborates across disciplines to advance understanding of discourse structure and language processing mechanisms. Service and Leadership: He served as Chair of UCSD’s Linguistics Department (2009–2014) and Director of Graduate Studies (2016–2018). He actively participates in conference organization (e.g., ACL, SemDial) and editorial boards, promoting discourse and computational linguistics research. His contributions include over 100 publications and invited talks at institutions worldwide. Labs/Teams: As lab director, Kehler oversees interdisciplinary projects integrating theoretical and computational linguistics. His team investigates discourse models, coreference resolution, and pragmatic inference, with applications in NLP and cognitive science.

Eric W. CampbellView profile

Associate Professor

• Historical Linguistics
• Language Documentation
• Indigenous Language Revitalization
• +5 more

Eric W. Campbell is an Associate Professor and Department Co-chair in the Department of Linguistics at the University of California, Santa Barbara (UCSB). His research focuses on typological, functional, and community-based approaches to phonology, morphology, syntax, and historical linguistics, with a specialization in Otomanguean languages of Mexico and California, particularly Chatino, Zapotec, and Mixtec. He holds a Ph.D. in Linguistics from the University of Texas at Austin (2014). Education: 2014 Ph.D. in Linguistics, University of Texas at Austin Research Interests: Campbell’s work emphasizes diachronic and typological perspectives in linguistic theory, fieldwork with endangered languages, and community collaboration. He leads projects such as MILPA (Mexican Indigenous Language Promotion and Advocacy) and JSILO (Justicia Social de Intérpretes de Lenguas Originaria), focusing on language documentation, revitalization, and social justice. His recent studies explore tone systems, inflectional classes, and the intersection of language and culture in Mesoamerica. Teaching & Grants: Campbell teaches courses in field methods, historical linguistics, and syntax. He has received grants for community-centered documentation projects, including work with the Mixtec diaspora in California and workshops for Otomanguean speakers in Mexico. His efforts bridge academic linguistics with community needs, emphasizing ethical collaboration and technology-driven preservation. Labs/Teams: Collaborates with the Chatino Language Documentation Project, the PDLMA (Project for the Documentation of the Languages of Mesoamerica), and interdisciplinary teams in UCSB’s Linguistics Department. His research often involves native speaker partnerships, such as with Tranquilino Cavero Ramírez and the Zenzontepec Chatino community.

Martina Gračanin YüksekView profile

Professor

• Theoretical Linguistics
• Generative Syntax
• Slavic Languages
• +6 more

Professor Martina Gračanin Yüksek is affiliated with the Department of Foreign Language Education at the Middle East Technical University (METU) in Ankara, Turkey. Her academic journey includes a Ph.D. in Linguistics from MIT (2007) , an M.A. from Syracuse University (2002) , and a B.A. from Zagreb University (1998) in English and Italian Languages and Literature. She is an expert in theoretical syntax, with a focus on multidominance, agreement, and linearization phenomena in languages such as Turkish and Slavic varieties. Research Interests Theoretical Syntax Agreement Multidominance Linearization Slavic Languages Publications highlight her work on coordinated wh-questions, multidominant structures, and anaphora in Turkish and Slavic languages. Recent articles explore the binarity constraint in merge operations, agreement attraction in Turkish possessors, and the psycholinguistic processing of anaphors among heritage speakers.

Anjalie FieldView profile

Assistant Professor

• Ethics in Artificial Intelligence
• Computational Social Science
• Natural Language Processing (NLP)
• +3 more

Anjalie Field is an Assistant Professor in the Computer Science Department at the Whiting School of Engineering, Johns Hopkins University. She is also affiliated with the Center for Language and Speech Processing (CLSP), focusing on the intersection of ethics, social science, and natural language processing. Her research examines: Developing language models to address societal challenges like discrimination and propaganda Critical evaluation of AI pipelines Applications of NLP in high-stakes domains (child welfare, police accountability) Interdisciplinary collaborations across social sciences, astronomy, and public policy Notable scientific achievements include the 2022 Wikimedia Foundation Research Award of the Year . Her publications demonstrate expertise in bias detection, ethical AI, and computational social science methods.

Tuğba Pamay ArslanView profile

Lecturer

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +3 more

Tuğba Pamay Arslan is a Lecturer at Istanbul Technical University , affiliated with the Artificial Intelligence and Data Engineering Department under the College of Computer and Informatics. Her academic journey includes: PhD in Computer Engineering (2022) MSc in Computer Engineering with thesis (2015) BSc in Computer Engineering (2012) Her research focuses on Artificial Intelligence , Machine Learning , and Natural Language Processing , particularly: Coreference resolution in Turkish Neural network applications in linguistics Morphological data analysis Turkish sign language digitization Treebank annotation and development Multilingual computational models Key trends in her publications (2007-2025) include: Advancing Turkish language processing infrastructure Developing neural solutions for anaphora resolution Creating machine-readable sign language resources Improving computational linguistics frameworks Enhancing multiword expression analysis