Adam Meyers is a Clinical Professor in the Department of Computer Science at New York University (NYU), affiliated with the College of Arts and Science. He holds a Ph.D. in Linguistics from NYU (1994), following M.A. (1989) and B.A. (1984) degrees. His research focuses on computational lexicography, machine translation, corpus annotation, and natural language processing (NLP). He has led significant projects like NomBank, Comlex Syntax, and the Termolator tool for terminology extraction. Meyers has extensive teaching experience, including courses on NLP, data science, and introductory programming. His professional service includes roles as Secretary of the ACL Special Interest Group on Annotation (SIGANN) and editorial work with ProQuest Corpora. Meyers has advised numerous PhD students and contributed to grants totaling over $500,000, including work on emerging technologies detection and legal document analysis. His open-source software and resources, such as GLARF and Nomlex, are widely used in NLP research. Key awards and recognitions include his leadership in NYU’s subcontracts with BAE Systems and SRI International for the FUSE project. Meyers has authored over 50 publications, with recent work focusing on BERT-based legal document classification and improving machine translation systems.
Satoshi Sekine is a Research Professor in the Computer Science Department at New York University (NYU), affiliated with the Proteus Project. His roles include Research Associate Professor since 2007, with prior positions as Assistant Research Professor and Research Scientist at NYU since 1994. He holds a Ph.D. in Computer Science from NYU (1998), an M.Sc. from the University of Manchester Institute of Science and Technology (1992), and a B.Sc. from Tokyo Institute of Technology (1987). His research focuses on Natural Language Processing (NLP), including information extraction, syntactic analysis, and knowledge discovery from corpora. Key projects include On-Demand Information Extraction (ODIE), Extended Named Entity (ENE) systems, and Web People Search (WePS) tasks. He has organized major conferences like HLT-NAACL 2006 and contributed to initiatives such as the IREX evaluation project. Publications span topics like neural entity classification, dependency parsing, and cross-lingual NLP. He has supervised PhD students Kiyoshi Sudo and Yusuke Shinyama, and led collaborations with companies like Fujitsu, NEC, and NHK. Grants include NSF funding for projects like On-Demand Information Extraction ($2M, 2003-2008). He serves as a program chair for ACL and ANLP conferences, reviews for top journals, and advises PhD committees. His work integrates linguistic theories with practical NLP applications, emphasizing evaluation-driven research and cross-lingual systems.
Jumbly Grindrod is a Lecturer in the Department of Philosophy at the University of Reading, serving as Undergraduate Admissions Tutor. Their research focuses on philosophy of language, epistemology, and the application of corpus linguistic methods to philosophical inquiry, particularly examining large language models' relevance to these fields. Grindrod’s teaching includes undergraduate modules such as Reason and Argument, Meaning and the Mind, and Ignorance, Doubt, and Relativism, which explore foundational topics in logic, philosophy of mind, and epistemology. Their work bridges traditional philosophical questions with modern computational tools, emphasizing empirical approaches to semantics and pragmatics. Grindrod welcomes PhD supervision inquiries in areas like philosophy of language, epistemology, corpus methods, and AI ethics. Recent publications (2017–2024) critically engage with contextualism, epistemic standards, and the semantics-pragmatics interface, often leveraging corpus data to refine linguistic and epistemological theories. No scientific awards are explicitly listed, but their contributions reflect active engagement with interdisciplinary debates. Grindrod’s teaching and research roles position them at the intersection of traditional philosophy and cutting-edge computational methodologies.
Adam Buchwald is a Professor and Director of the Center of Health and Rehabilitation Research at New York University's Steinhardt School of Culture, Education, and Human Development. His primary affiliation is with the Department of Communicative Sciences and Disorders. He holds a Ph.D. in Cognitive Science from Johns Hopkins University (2005) and completed a postdoctoral fellowship in Psychological and Brain Sciences at Indiana University. His research focuses on the cognitive and neural mechanisms underlying speech and language production, particularly in individuals with acquired impairments such as aphasia and apraxia of speech. His interdisciplinary work integrates methods from Communication Sciences and Disorders, Neurorehabilitation, Psycholinguistics, and Cognitive Science. Key areas of investigation include neuromodulation (e.g., tDCS) for speech motor recovery, the role of morphophonological patterns in language production, and the development of automated speech analysis tools. Recent publications highlight advancements in automated speech analysis (e.g., DDKtor algorithms) and the impact of neuromodulation on stroke recovery. His lab, the Psycholinguistics, Aphasia, and Neuromodulation Lab, explores neurorehabilitation strategies and the neurocognitive underpinnings of speech production. Teaching includes courses such as 'Science of Language,' which examines cognitive and neural mechanisms of linguistic knowledge. His work bridges clinical practice and theoretical research, emphasizing interdisciplinary collaboration.
Michael T. Ullman is a Professor in the Department of Neuroscience at Georgetown University School of Medicine, with secondary appointments in Neurology, Psychology, and Linguistics. He directs the Brain and Language Laboratory (brainlang.georgetown.edu), which investigates how the brain supports language, math, music, and reading through behavioral, electrophysiological (EEG/ERP), neuroimaging (fMRI), and meta-analytic techniques. Education: BA in Computer Science from Harvard University; PhD in Neuroscience from Massachusetts Institute of Technology. His research focuses on the neural bases of language, particularly the interaction between declarative and procedural memory systems in typical and disordered populations (e.g., dyslexia, autism, Alzheimer’s). Recent work examines lexical-grammatical interactions in language disorders and memory-based enhancements for bilingual learning. Google Scholar articles from 2012-2025 span neurocognitive studies on developmental language disorders, memory systems, bilingualism, and aging. Findings emphasize declarative memory compensation in disorders and age-related cognitive changes. The Brain and Language Lab also explores group differences (e.g., sex, handedness) and employs meta-analytic approaches to uncover consistent abnormalities in conditions like Specific Language Impairment.
Charles Burnett is Professor of the History of Islamic Influences in Europe at the Warburg Institute, University of London. His distinguished academic career has focused on documenting, editing, and translating scientific and philosophical texts that were transmitted from Arabic into Latin during the Middle Ages. Professor Burnett received his BA in Classics from Cambridge University in 1972 and completed his PhD in Modern and Medieval Languages at the same institution in 1976. His academic journey included positions as Junior Research Fellow at St John's College, Cambridge (1976-79), Senior Research Fellow at the Warburg Institute (1979-82), and Leverhulme Research Fellow at the University of Sheffield (1982-84, 1985), with an intervening year as Member of the Institute for Advanced Study, Princeton (1984-85). He was appointed Lecturer at the Warburg Institute in 1985 and promoted to Professor in 1999. Burnett's research encompasses several interconnected domains: Transmission of Knowledge : The transfer of scientific and philosophical texts from the Arab world to medieval Europe, particularly through Arabic-Latin translations Medieval Astronomy and Astrology : Critical editions of works by Abu Ma'shar and other key figures, examining both theoretical frameworks and practical applications History of Numerals and Arithmetic : Studies on the introduction and adoption of Hindu-Arabic numerals in European mathematical practice Palaeography : Analysis of manuscript traditions, including the writing of numerals and magical texts Magical Practices : Investigation of divinatory techniques such as scapulimancy and geomancy across cultural boundaries Jesuit Cultural Exchange : Examination of cultural transmission between Europe and Japan during the "Christian Century" His scholarly output includes numerous monographs, critical editions, and over 200 articles. Major publications include "Magic and Divination in the Middle Ages" (1996), "Arabic into Latin in the Middle Ages" (2009), and "Numerals and Arithmetic in the Middle Ages" (2010). Burnett's work reveals how medieval translators adapted Arabic scientific knowledge for European contexts, transforming both the content and the institutional frameworks for scientific learning. Professor Burnett has supervised numerous doctoral students whose research extends his scholarly legacy. His current supervisees include Beatrice Bottomley, Arianna Dalla Costa, and Dimitrios Roussos. Former students such as Helena Avelar and Juan Acevedo have established themselves as significant scholars in medieval intellectual history. Beyond traditional academic venues, Burnett has shared his expertise through media appearances including BBC's "In Our Time" and documentaries for Arte and the Japanese Broadcasting Corporation. His research continues to illuminate the complex processes through which scientific knowledge traversed cultural and linguistic boundaries during the medieval period.
Professor Manabu Okumura is affiliated with the Advanced Information Processing Division at Tokyo Institute of Technology, leading the Precision and Intelligence Laboratory. His research focuses on natural language processing (NLP), automated text summarization, and speech dialogue systems, emphasizing real-time, user-friendly interaction. Key areas include incremental language understanding, robustness in ill-formed input analysis, and semi-automatic lexical acquisition. His work addresses challenges like syntactic-semantic integration using case frame analysis, ellipse resolution in Japanese, and associative lexical relations extraction from corpora. Research projects include communication assistive technologies for disabled individuals and natural language-driven animation control. Publications span foundational NLP topics such as word sense disambiguation via semantic networks, zero pronoun resolution using centering theory, and incremental discourse processing. The lab collaborates on bilingual corpus analysis for lexicon development and maintains a focus on practical applications of theoretical advances.
**Janyce Wiebe** is a Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with the Intelligent Systems Program and the Dietrich School of Arts and Sciences. Her research focuses on artificial intelligence, natural language processing (NLP), and subjectivity analysis, with notable contributions to opinion mining and sentiment analysis. She has led projects funded by agencies like the National Library of Medicine and DARPA, including work on clinical record analysis and private-state recognition. Currently on medical leave since 2015, she has held leadership roles such as Action Editor for Transactions of the ACL and Program Co-Chair for ACL-IJCNLP-09. Wiebe has advised numerous students and contributed to initiatives like the MPQA opinion corpus and the OpinionFinder system. **Education**: No explicit degree details provided in text, but academic roles imply PhD-level qualifications. **Research Contributions**: Key projects include 'Uncovering Motivations, Stances, and Anomalies' (DARPA DEFT program) and 'Interactive Search and Review of Clinical Records'. Her work emphasizes manual annotation frameworks for subjectivity and semantic analysis, with publications in top venues like ACL and Computational Linguistics. **Awards & Activities**: Served on editorial boards for journals like the IEEE Journal on Affective Computing and Language Resources and Evaluation. Recognized for contributions to NLP through roles like Area Chair for EMNLP and ACL conferences. Received the Richard A. Wiebe Memorial Fellowship (family-related). **Grants & Funding**: Projects include NSF-funded work on multilingual subjectivity analysis and NLM support for clinical record semantic annotation. Total grant history spans over two decades. **Labs & Teams**: Leads the Intelligent Systems Program at Pitt and collaborates with researchers like Claire Cardie (Cornell) and Rada Mihalcea (University of North Texas).
Julien Cooper is an Egyptologist, Nubiologist, and archaeologist currently serving as an ARC Future Fellow in the School of Humanities at Macquarie University. His research focuses on the archaeology of the Eastern Desert (Atbai) and the history of its nomadic peoples. He directs the 'Atbai Survey Project,' a fieldwork program surveying the vast deserts between the Nile and the Red Sea, aiming to shed light on the region's heritage from neolithic rock art to ancient Egyptian trade routes and medieval goldmines. Cooper completed his PhD in Egyptology at Macquarie University in 2016, followed by postdoctoral fellowships at Oxford (as an ERC Fellow) and Yale universities, and an Assistant Professor position at United International College-Beijing Normal University from 2020-2022. His educational background includes a PhD in Egyptology from Macquarie University (2016) with a dissertation titled 'Toponymy on the Periphery: Placenames of the Eastern Desert, Red Sea, and South Sinai.' His academic journey reflects a deep commitment to understanding the complex cultural landscape of Northeast Africa. Cooper's research interests center on Egypt & Nubia and the networks of connections across Northeast Africa, with specific focus on nomads in the region, survey archaeology, rock art studies, heritage conservation, Nubian history, foreign connections of ancient Egyptian state, Egyptian epigraphy, language contact, and Middle Egyptian language. His work reveals how nomadic peoples significantly influenced the political, economic, and environmental landscape of ancient Northeast Africa, challenging traditional 'Nile Narrative' perspectives that often overlook desert cultures. His recent publications demonstrate a growing trend toward interdisciplinary approaches combining archaeology, linguistics, and historical geography to understand cultural boundaries and interactions in ancient Nubia. Cooper's work increasingly focuses on heritage conservation in Sudan amid ongoing conflicts, reflecting the urgent need to document and protect vulnerable archaeological sites. ARC Future Fellowship 'Rescuing Pharaoh's Gold Mines: Archaeological conservation in Eastern Sudan' (2024-2028) Sir Douglas Newbold Archival Project: The Archaeology and History of Eastern Sudan Nomades et nomadismes au Sahara oriental (Égypte, Soudan, est libyen) Cooper has advised numerous students and collaborated extensively with Sudanese academics and scientists. His projects provide training in GIS and archaeological mapping for local communities in Sudan's Red Sea Province. He has organized workshops with UNESCO and international partners to develop strategies for cultural heritage preservation in conflict zones. His fieldwork with the Atbai Survey Project has established a significant presence in Eastern Sudan, with ongoing efforts to document and conserve archaeological sites threatened by looting and environmental degradation. He leads the Atbai Survey Project team, which conducts extensive fieldwork in the Eastern Desert, documenting rock art, ancient trade routes, and settlement patterns. His work has gained international attention through media coverage of discoveries like 4,000-year-old rock art depicting boats and cattle, which supports the 'Green Sahara' theory. Cooper actively engages with local communities in Sudan, incorporating indigenous knowledge into archaeological interpretations and ensuring research benefits the people whose heritage is being studied.
Professor Petar Milin holds a position as Professor of Psychology of Language and Language Learning at the University of Birmingham's Department of Modern Languages. He earned a BA and MA in Psychology from the University of Novi Sad (Serbia), followed by a PhD in experimental and computational psychology from the University of Belgrade. His career includes roles as Assistant Professor (1990s–2016), Associate Professor (2009–2016), Senior Researcher at Eberhard Karls University in Tübingen (2013–2016), and Senior Lecturer positions at the University of Sheffield and Birmingham. He co-founded Novi Sad's Laboratory for Experimental Psychology (2009–2015) and contributed to EU-funded curricula development projects. His research focuses on the role of learning in language behavior, combining experimental and computational methods with statistical analysis. Primary interests include language communication dynamics, probabilistic phenomena in language (stylometry, text quantification), and cognitive systems integration. He leads the Out Of Our Minds project (Leverhulme Trust-funded), exploring language learning optimization. Notable grants include €180k and €703k EU TEMPUS grants for curricula development. Professor Milin has authored/co-authored influential papers in journals like Journal of Experimental Psychology and Cognitive Science , and holds editorial roles at Cognitive Linguistics and Entropy . He is a Turing Fellow and Research Ambassador for Eberhard Karls University. Current advisees include students researching L2 aspectual usage, eye-tracking in bilingualism, and technology-enhanced language learning. Teaching specialties include Statistics, Research Methods, Psycholinguistics, and Learning Theory. His work bridges cognitive science and computational linguistics, emphasizing interdisciplinary approaches to language understanding and acquisition.
Ewa Dabrowska is an Honorary Professor in the Arts and Law school. She holds expertise in Cognitive Linguistics, Language Acquisition, and individual differences in linguistic knowledge. Her research focuses on formulaic language, linguistic generalizations, and disparities in grammatical competence across speakers. She has conducted studies on bilingual acquisition, second language learning challenges, and the role of education in linguistic proficiency. Ewa has been affiliated with institutions including the University of Sheffield, Northumbria, and the Max Planck Institute in Leipzig. She currently serves as President of the UK Cognitive Linguistics Association and previously edited Cognitive Linguistics journal. Her work has been recognized with the Alexander von Humboldt Professorship (2017). Education: Poland, US, UK Key Research Themes: Formulaic language in acquisition and adult speech Psychological reality of linguistic generalizations Individual differences linked to education and vocabulary Grants: AHRC-funded project on syntactic constructions Her collaborative projects include studies on Spanish syntax comprehension and L2 grammar redundancy effects. She actively participates in academic conferences and guest lectures globally.
Professor Patricia E Cowell is a leading figure in Cognitive Neuroscience at the University of Sheffield , affiliated with the School of Allied Health Professions, Nursing and Midwifery and the Human Communication Sciences division. She completed her PhD in Biobehavioral Sciences at the University of Connecticut and held a postdoctoral fellowship at the University of Pennsylvania Medical School. Her academic journey began with a BA in Psychology and Statistics from Boston University. Education: BA, Psychology and Statistics, Boston University (1987) MS, Biobehavioral Sciences, University of Connecticut (1990) PhD, Biobehavioral Sciences, University of Connecticut (1992) Research interests span neurocognitive plasticity, sex differences in cortical development, cerebral asymmetries, and the effects of ovarian hormones on speech and cognition. Her current projects explore: Hormonal influences on speech and language Language asymmetries in monozygotic twins Neurocognitive plasticity in apraxia of speech rehabilitation Collaborations include work with Prof Sandra Whiteside (Sheffield), Dr Jennifer Gurd (Oxford), and Prof Rosemary Varley (UCL). Her publications focus on: Mechanisms of neuroplasticity in communication disorders Sex differences in brain structure and function Menstrual cycle and menopause effects on language processing Corpus callosum morphology and interhemispheric communication Professional memberships include the Society for Neuroscience and the Organization for the Study of Sex Differences. She leads the Cognitive Neuroscience of Speech and Language research group and contributes to advanced clinical practice initiatives.
Shujun Wan is a Research Fellow at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Faculty of Language and Literature. She concurrently serves as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI). Her research focuses on learner corpus analysis, discourse analysis, natural language processing, and contrastive rhetoric, with a particular emphasis on register competence in second language acquisition. She leads projects like OpenGPT-X (AI language models), SFB 1412 C04 (register knowledge in learner languages), and the expansion of Connective-Lex.info for Chinese. Education: PhD in Corpus Linguistics (Humboldt University, 2023), Master of German as a Foreign/Technical Language (Technical University of Berlin, 2016), and Bachelor's/Master's in German Linguistics (Zhejiang University). Notable achievements include a Best Poster Award (2019) and an Outstanding Undergraduate Project Award (2012). Her work spans collaborative projects with institutions like the Chinese National Social Science Foundation and DFG-funded initiatives. Teaching experience includes courses on grammatical models and linguistic methods (2017–2018). Ongoing tool development includes RST-Tace (discourse tree evaluation) and contributions to multilingual lexical resources.
Marie Garnier is a Maîtresse de Conférences (Assistant Professor) at the Département des Études du Monde Anglophone (DEMA), Université Toulouse – Jean Jaurès (UT2J), and a member of the Centre for Anglophone Studies (CAS). She holds a PhD in Linguistics (2014) and specializes in second language acquisition, particularly focusing on the intelligibility and writing challenges of French speakers learning English. Agrégation externe d'anglais (2008) CAPES externe d'anglais (2008) Doctorat en Linguistique (2014), UT2J/UT3, co-supervised by Dennis Philps and Patrick Saint-Dizier Her research centers on second language acquisition, with specific interests in L2 English pronunciation intelligibility, error detection and correction in non-native writing, and the application of linguistic methods to improve technical communication. She has conducted interdisciplinary research combining linguistics and computer science, particularly in the context of automated error correction systems. Her recent publications show a strong trend toward systematic and scoping reviews in L2 pronunciation research, as well as continued work on argumentation and language use in technical domains. The articles span fields such as applied linguistics, phonetics, computational linguistics, and requirements engineering, reflecting her interdisciplinary approach. She has served on the editorial boards of journals such as Anglophonia and Recherche et pratiques pédagogiques en langues - Cahiers de l'APLIUT , and has co-edited special issues on argumentation. She is also the webmaster for the CAS website. Marie Garnier has advised or collaborated with researchers such as Saandia Ali and Linda Terrier. She has received no explicitly mentioned scientific awards or grants in the provided texts. She is not noted as part-time, retired, or former staff, and there is no indication she is not alive. Her work is affiliated with multiple institutions, including UT2J, IRIT (Institut de recherche en informatique de Toulouse), CNRS, and the Toulouse Mind & Brain Institute, highlighting her collaborative and interdisciplinary research profile.
Savaş Yıldırım is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, College of Engineering. He holds a PhD in Computer Engineering from Trakya University and completed his postdoctoral studies at Eberhard Karls Universität Tübingen, Germany. His academic work is centered on data science and computational linguistics, with a focus on Turkish language technologies. His research interests include Natural Language Processing, Deep Learning, Big Data Analytics, and Open Source software. He actively contributes to advancing Turkish language processing through text normalization, synonym detection, and meronym extraction. His work bridges theoretical NLP with practical applications in public policy and industry. The recent publications of Savaş Yıldırım are primarily in the domain of computational linguistics, with a strong emphasis on Turkish-specific challenges. The articles reflect a consistent trend in unsupervised and knowledge-poor methods for text analysis, focusing on morphological richness and resource scarcity in low-resource languages. Key themes include lexical semantics, text preprocessing, and pattern-based information extraction. Notable scientific contributions include projects funded by TÜBİTAK and EU programs such as: Ağlandırılmış Türk Kamu Alanının Haritalanması (TÜBİTAK 2219) Metin Madenciliği Yöntemlerinin Uygulanması (TÜBİTAK 1001) Akıllı Hazine Nakit Yönetimi (TÜBİTAK TEYDEB) İnsan Kaynakları Süreçlerinde Öngören Mekanizmalar (TÜBİTAK TEYDEB) Engelleri Kaldırarak Bir Araya Gelelim (EU Urban Net – TÜBİTAK 1001) Savaş Yıldırım has served as an academic coordinator and researcher in multiple nationally and internationally funded projects. He has also worked as a Data Science Trainer for The Banks Association of Turkey and as a trainer for IBM’s Academy of Technology. While no formal advisees are listed, his leadership in research projects indicates mentoring and collaborative supervision roles. He maintains an active research blog at openanalitik.wordpress.com . He is associated with research initiatives in data analytics and natural language processing, particularly through project-based labs and interdisciplinary teams focused on public sector data and intelligent systems. These teams often involve collaboration between academia and industry, especially in finance and human resources technology.
