Find Academic Supervisors

• Machine Learning
• Deep Learning
• Computer Vision
• +8 more

Dr. Amir Atapour-Abarghouei is an Assistant Professor in the Department of Computer Science at Durham University, UK, and a Fellow of the Wolfson Research Institute for Health and Wellbeing. He leads the VIViD (Vision, Imaging and Visualisation in Durham) research group. Previously, he held roles at Newcastle University and Shahid Bahonar University of Kerman (Iran). His research focuses on machine learning, deep learning, computer vision, 3D scene understanding, and natural language processing. Notable contributions include the GANomaly anomaly detection framework, now part of Intel's AI products. Education : Ph.D., Computer Science, Durham University (UK) M.Sc., Computer Science, Universiti Teknologi Malaysia (Malaysia) B.Sc., Computer Engineering, Shahid Bahonar University of Kerman (Iran) Research Interests : His work spans machine learning, deep learning, image processing, 3D scene analysis, and robotics. Key areas include depth estimation, domain adaptation, semantic segmentation, and causal-based models for action quality assessment. Recent projects involve datasets like DurTOMD and Dur360BEV for autonomous systems and image inpainting techniques (e.g., HINT, SEM-Net). Advising & Grants : He supervises over 15 postgraduate students and has contributed to grants focused on AI-driven systems in healthcare, robotics, and computer vision. His team's work on GANomaly and neural architecture search (NAS) has been widely cited and applied in industry. Labs/Teams : Leads the VIViD Research Group and collaborates on interdisciplinary projects involving healthcare imaging, autonomous vehicles, and ethical AI. Active in organizing workshops at CVPR, IEEE BigData, and the BMVA Summer School.

• Multicore Computing
• Program Analysis
• Virtual Machine Optimization
• +4 more

Daniele Bonetta is an Assistant Professor in the Department of Computer Science at Vrije Universiteit Amsterdam and holds an ancillary role as a Medewerker (Employee) at Eindhoven University of Technology since June 2020. His primary affiliation is with the Faculty of Science, where he contributes to the Network Institute as well. His research focuses on optimizing virtual machines, parallel programming models, and dynamic compilation techniques, with a particular emphasis on multicore systems and distributed computing environments. Bonetta has also been involved in teaching advanced courses such as Advanced Network Programming and contributes to the Accelerator-Centric Computing Ecosystems program. His research interests are centered around improving the performance of managed runtimes, including virtual machine optimization, dynamic taint analysis, and efficient data processing in polyglot environments. He has explored topics such as speculative optimizations for JSON data access, columnar array storage transformations, and scalable solutions for virtual memory oversubscription. His work frequently addresses challenges in distributed systems, cloud computing, and cross-language program analysis. Bonetta’s recent publications (2023-2025) highlight advancements in transparent scale-out mechanisms for virtual memory, automated supernode generation in interpreters, and dynamic query engines embedded in polyglot runtimes. His contributions to the field include both theoretical frameworks and practical implementations, often leveraging the GraalVM and Truffle frameworks for polyglot execution. While no formal awards are listed, his extensive publication record (47+ outputs) demonstrates significant scholarly impact. His teaching portfolio includes courses on network programming and systems architecture, reflecting his dual focus on both theoretical research and applied computer science education.

• Generative Syntax
• Theoretical Morphology
• Semantics
• +4 more

Paolo Acquaviva is a Professor at the School of Languages, Cultures and Linguistics at University College Dublin (UCD). He holds a Laurea in Lettere from the University of Pisa and a PhD from the Scuola Normale Superiore di Pisa (1993). His academic career at UCD spans from 1990 to present, with a 3-year interlude at the University of Venice. He has held roles including Lecturer (1990–1996; 1999–2004), Senior Lecturer (2005), and Professor. His research focuses on theoretical morphology, semantics, and the interfaces between syntax, morphology, and semantics, particularly regarding plurality, nominal categories, and lexical semantics. Acquaviva’s research projects include studies on the vision-language interface, the morphological structure of nouns, and the Irish verbal system. He has been awarded an IRCHSS Senior Fellowship (2004–2005) and a Humboldt Fellowship (2007–2008). His publications explore topics such as pluralia tantum, nominal reference, and the morphosemantics of number. He has coordinated numerous modules in Italian language and literature, emphasizing student-centered pedagogy. He also served as Director of the UCD Foundation for Italian Studies and held leadership roles in university committees. His academic contributions span over 129 publications, including monographs like Lexical Plurals (OUP, 2008). Recent research highlights include investigations into nominal conceptualization, visual object lexicalization, and the structural bases of gender systems. His work bridges formal linguistic theory with empirical typological analysis, particularly in Celtic and Romance languages.

Sergej ChodarevView profile

Assistant Professor

• Domain-specific languages
• Programming languages
• Metaprogramming
• +1 more

Sergej Chodarev is an Assistant Professor at the Technical University of Košice in the Department of Computer and Information Systems. His office is located in Building Letná 9, Room B513 (B529 by the old numbering), and consultation hours can be scheduled via Calendly at https://calendly.com/sergej-chodarev/office-hours. He teaches courses in Metaprogramming, Functional Programming, User Interfaces and User Experience, and Fundamentals of Software Engineering. His primary research areas include: Domain-specific languages Programming languages Metaprogramming User interfaces Dr. Chodarev's publication record from 2011-2016 demonstrates a consistent research trajectory focused on language engineering, particularly in domain-specific languages and metaprogramming. His work bridges theoretical computer science with practical software engineering applications, often addressing challenges in language composition, syntax definition, and user interface patterns. Many publications explore how to make programming languages more adaptable and user-friendly for specific domains. He is actively involved in research projects including: Applying new principles in the education of IT specialists in the field of formal languages and translators (as Deputy Project Manager) Developing architectural knowledge across the edge-cloud continuum (as a Solver) Dr. Chodarev maintains a scholarly presence through multiple identifiers: ORCID (0000-0002-9293-0859), Scopus Author ID (54583293100), and Web of Science ResearcherID (R-3205-2019). His professional online presence includes a personal blog, GitHub, and Instagram accounts.

Phillip HamrickView profile

Associate Professor

• Psycholinguistics
• Second Language Acquisition
• Bilingualism
• +3 more

Phillip Hamrick is an Associate Professor in the Department of Psychological Sciences at Kent State University. His research focuses on psycholinguistics, the psychology of learning and memory, particularly in second language acquisition (SLA) and bilingualism. He investigates how declarative and procedural memory systems underpin language learning, with a specific interest in declarative memory subsystems like episodic and semantic memory. He directs the Memory and Language Laboratory, exploring topics such as implicit statistical learning, working memory, and speech analysis in clinical populations (e.g., Alzheimer’s disease). Dr. Hamrick holds a PhD from Georgetown University (2013). He teaches courses including Quantitative Methods in Psychology, Advanced Quantitative Analysis in R, and Cognitive Psychology. He is actively involved in mentoring doctoral students and considers GRE scores when evaluating applicants for the PhD program. His work bridges cognitive psychology, neuropsychology, and SLA, contributing to theoretical frameworks on memory’s role in language processing and learning. Key contributions include studies on L2 lexical development, the validity of subjective awareness measures in learning, and the cognitive mechanisms behind speech degradation in Alzheimer’s patients. His research has been published in high-impact journals like *Studies in Second Language Acquisition* and *Proceedings of the National Academy of Sciences*.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +5 more

Wajahat Ali Khan is an Associate Professor in Artificial Intelligence at the University of Derby's College of Science and Engineering. His research focuses on AI-driven solutions for healthcare informatics, cybersecurity, and data integration. He leads interdisciplinary projects involving knowledge graphs, semantic web technologies, and clinical decision support systems. Research interests include applying machine learning to healthcare challenges such as disease subtyping, health data interoperability, and personalized medicine. He also explores cybersecurity in network systems and SDN environments. Key contributions include platforms like the Ubiquitous Health Profile (UHPr) for health data interoperability and the Intelligent Medical Platform for dialogue-based healthcare services. His publications span topics from anti-DDoS models to sentiment analysis for depression detection. Collaborations with institutions like Sungkyunkwan University (South Korea) highlight global impact. Khan’s work emphasizes bridging semantic gaps in healthcare systems through adaptive mediation frameworks and data-driven knowledge acquisition methods.

• Machine Learning
• Data Mining
• Recommendation Systems
• +5 more

Univ.-Prof. Dr. Günther Specht is a faculty member in the Department of Computer Science at Universität Innsbruck. His research focuses on machine learning, data mining, and their applications in recommendation systems, music information retrieval, and authorship attribution. He has contributed to projects such as HPT4Rec (a hyperparameter optimization framework for recommenders) and Cloudgene (a cloud computing tool for biomedical pipelines). His work spans database systems, text analysis, and social media analytics. Notable tools include HaploGrep 2 (for mitochondrial DNA analysis) and StyleExplorer (for textual style visualization). Key research areas include: (1) Developing algorithms for music popularity prediction and playlist analysis; (2) Enhancing authorship attribution techniques using grammar profiling and syntax tree analysis; (3) Designing efficient database index structures like Height Optimized Tries; and (4) Investigating ethical aspects of recommendation systems and plagiarism detection. Publications from 2020-2024 highlight advancements in cross-domain text classification, social media behavior analysis, and automated music genre recognition. His work bridges traditional statistical methods with modern machine learning, emphasizing practical applications in both academic and industry contexts.

Helen BrownView profile

Senior Lecturer

• Language Learning
• Cognitive Psychology
• Developmental Psychology
• +3 more

Dr. Helen Brown is a Senior Lecturer in the Department of Psychology at the School of Social Sciences, Nottingham Trent University. She specializes in developmental psychology, focusing on language learning mechanisms, sleep's role in memory consolidation, and the impact of input structure on linguistic acquisition. Her research spans both child and adult populations, with notable contributions to artificial language studies and second language acquisition. Education: MA in Psychology, University of St Andrews MSc in Reading, Language, and Cognition, University of York PhD in Psychology, University of York Research Interests: How sleep consolidates new linguistic knowledge Effects of input variability on language learning Age-related differences in second-language phonology acquisition Role of semantic cues in artificial language learning Publications highlight her work on lexical competition dynamics, talker-specificity effects, and the consolidation of vocabulary during sleep. Her research frequently employs experimental paradigms with both child and adult participants, emphasizing comparative analyses of developmental trajectories. While no scientific awards are explicitly listed, her extensive publication record and academic roles reflect significant contributions to cognitive and developmental psychology. Advising & Grants: No listed advisees or grant details

Lauren ClemensView profile

Associate Professor

• Generative Syntax
• Syntax-Prosody Interface
• Austronesian Languages
• +5 more

Lauren Clemens is an Associate Professor in the Department of Anthropology and Department of Languages, Literatures & Cultures at the University at Albany, State University of New York. She specializes in theoretical linguistics with a focus on generative syntax, prosody, and their interface. Education PhD, Harvard University, 2014 Her research investigates syntactic and prosodic structures in Austronesian, Mayan, and Otomanguean languages using traditional and quantitative methods. Recent projects include studies on verb-initial word orders, focus encoding, and the syntax-prosody interface in Ch’ol, Copala Triqui, and Niuean. Her experimental work spans acoustic analysis of prosody, resumptive pronouns, and web-based reaction time experiments. She co-directs UAlbany's Copala Triqui Working Group and teaches courses such as Introduction to Syntax, Advanced Syntax, and Field Methods in Anthropological Linguistics.

• Syntax
• Morphology
• Morphosyntax
• +5 more

Lotus Goldberg is a Professor of Linguistics at Brandeis University, affiliated with the Interdepartmental Program in Linguistics and Computational Linguistics, and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on theoretical syntax, particularly ellipsis and null anaphora, with empirical and computational approaches. Education: Ph.D. in Linguistics, McGill University M.A. in Theoretical Linguistics, University of California, Santa Cruz B.A. (Honors) in Theoretical Linguistics, University of California, Santa Cruz Research Interests: Goldberg’s work emphasizes empirical analysis of syntax-semantics interfaces, VP ellipsis, and null anaphora. She leads the Syntax Research Lab, developing the Brandeis-Simmons Corpus of English VP Ellipsis, a large-scale database for syntactic analysis of natural speech. Awards: 2022 Theodore and Jane Norman Award Scholarship (Brandeis University) 2019 Theodore and Jane Norman Award Scholarship (Brandeis University) Advising/Grants: Goldberg’s research is supported by grants from Brandeis University’s Faculty Research initiatives. Her lab collaborates on corpus construction and syntactic annotation projects. She mentors students in theoretical linguistics and computational methods. Labs/Teams: Director of the Syntax Research Lab, contributing to interdisciplinary work at the Volen National Center for Complex Systems.

Lori RepettiView profile

Professor

• Phonology
• Romance Languages Microvariation
• Linguistic Typology
• +3 more

Lori Repetti is a Distinguished Service Professor in the Department of Linguistics at Stony Brook University. She holds a Ph.D. from UCLA (1989). Her research focuses on phonology, microvariation in Romance languages, and linguistic typology, with a particular emphasis on Italian dialects. Her work has been funded by the National Endowment for the Humanities (NEH) and the National Science Foundation (NSF). She co-created the Clitics of Romance Languages (CRL) database, a resource for studying clitic pronouns in endangered Romance varieties. Repetti also contributes to linguistics pedagogy, developing innovative courses like the asynchronous general-education course Language in the United States . Education: Ph.D. in Linguistics, UCLA, 1989 Funding: NEH and NSF grants supporting fieldwork and typological research Key Projects: CRL database, reduplication typology study, loanword phonology research Her research interests include the interaction between phonology and syntax, the documentation of endangered languages, and the teaching of linguistics through Latin. She has published extensively on clitic positioning, syllabification processes, and microvariation in Romance dialects. Repetti collaborates internationally, presenting at conferences such as the Linguistic Symposium on Romance Languages (LSRL) and contributing to edited volumes on Romance linguistics.

Jordan KodnerView profile

Assistant Professor

• Computational Linguistics
• Language Acquisition
• Morphology
• +3 more

Jordan Kodner is an Assistant Professor in the Department of Linguistics at Stony Brook University, with affiliations to the Institute for Advanced Computational Science, Department of Computer Science, Institute for AI-Driven Discovery and Innovation, and the Natural Language Processing (NLP) group. He holds a PhD in Linguistics (2020) and a Master's in Computer and Information Science (2018) from the University of Pennsylvania. His research focuses on computational models of child language acquisition, particularly morphology, and its implications for NLP and language variation/change. He has worked on defense/medical projects at Raytheon BBN Technologies (2013-2015) and interned at Amazon Alexa AI in 2020. Research interests include computational linguistics, morphology, language acquisition, cognitive science of language, and low-resource NLP. He is writing a book on language change mechanisms grounded in child acquisition models. Teaching includes courses like LIN 260 (Language and Mind), LIN 330 (Language Acquisition), and LIN 537 (Computational Linguistics I). His work spans multiple languages (e.g., Arabic, Armenian, German, Korean, Spanish) and integrates findings from historical linguistics, sociolinguistics, and computational methods. Key contributions include studies on morphological learning, neural network limitations, and language change actuation via acquisition processes.

Vicki CarstensView profile

Professor

• Theoretical Syntax
• African Linguistics
• Bantu Languages
• +5 more

Vicki Carstens is a Professor of Linguistics at the University of Connecticut's Department of Linguistics, housed within the College of Liberal Arts and Sciences. She holds a Ph.D. from UCLA and specializes in theoretical syntax and African linguistics, with a focus on Bantu languages, particularly Nguni languages like Zulu and Xhosa. Her research addresses agreement phenomena, nominal syntax, and Case theory within minimalist frameworks. Education: B.A. in African Languages and Linguistics, University of Wisconsin-Madison M.A. and Ph.D. in Linguistics, UCLA Research interests include exploring grammatical gender systems, licensing mechanisms for bare nouns, and syntactic structures in Bantu languages. Her work has been published in top journals like Linguistic Inquiry , Natural Language and Linguistic Theory , and The Linguistic Review . Recent studies address topics such as Nguni bare noun licensing without Case, hyperagreement phenomena, and the theoretical implications of Xhosa expletive constructions. Her articles reflect a focus on syntactic theory, with contributions to debates on feature valuation, antisymmetry theory, and syntactic projection principles. She has co-authored major works on Bantu syntax and serves as an influential figure in African linguistics. Teaching includes courses on linguistic field methods, syntax, and general linguistics. Her research group engages with formal syntax and language typology, contributing to both theoretical linguistics and descriptive studies of underdocumented languages.

Adrian StegovecView profile

Assistant Professor

• Syntax
• Semantics
• Morphology
• +6 more

Adrian Stegovec is an Assistant Professor of Linguistics at the University of Connecticut, affiliated with the Department of Linguistics in the College of Liberal Arts and Sciences. He holds a Ph.D. from the University of Connecticut (2019). His research focuses on syntax, semantics, and morphology, particularly exploring interactions between these domains in relation to linguistic universals and crosslinguistic variation. Key research areas include clitic coordination, imperative mood systems, person restrictions, and V-C movement in Algonquian and Slavic languages. Education: Ph.D. in Linguistics, University of Connecticut, 2019 Research interests emphasize the syntax-semantics interface, clause typing, and generative typology. He investigates phenomena such as directive clauses, perspectival control, and the Person-Case Constraint across languages like Slovenian and Arapaho. Collaborators include scholars from Humboldt-Universität zu Berlin, The University of Auckland, and Leipzig University. His recent work addresses topics like imperative alternatives, pronoun reference in strict/sloppy readings, and morphological diagnostics for syntactic movement. No scientific awards are explicitly mentioned in the provided materials. Advising and grants: No specific advising records or grant information is provided in the text. He maintains an active research program with ongoing projects in comparative syntax and generative typology. His office is located at Oak Hall 351, with mailing address at 365 Fairfield Way, Storrs, CT 06269. Labs/teams: No specific lab affiliations are mentioned, though collaborations suggest participation in interdisciplinary research networks focused on syntax and typology.

Harry van der HulstView profile

Professor

• Phonology
• Sign Language Studies
• Language Evolution
• +4 more

Harry van der Hulst is a Professor of Linguistics and Director of Undergraduate Studies at the University of Connecticut's Department of Linguistics (College of Liberal Arts and Sciences). He holds a Ph.D. from Leiden University (1985) and has held academic roles at Leiden University (1977–2000) before joining UConn. His research focuses on Phonology, particularly stress systems, syllabic structure, sign language, language evolution, and graphic narrative linguistics. Education: Ph.D. Leiden University (1985), Master's in Generative Phonology (Leiden, 1977). He has directed the Holland Institute of Generative Linguistics (HIL) and contributed to foundational phonological theories like Dependency Phonology and Radical CV Phonology. Research interests include vowel harmony, phonological typology, and the interplay between syntax and phonology. His publications span over 200 articles and books, including Principles of Radical CV Phonology (2020) and edited volumes on vowel harmony and phonological history. He is affiliated with the UConn Graphic Narrative Initiative, exploring linguistic analysis of visual narratives. No specific advising or grant details are listed, but his extensive editorial roles and institutional leadership reflect significant academic contributions.