Naomi Lee is an Assistant Professor at the Weissman School of Arts and Sciences , Baruch College - CUNY. She holds a Ph.D. in Linguistics from New York University and an A.B. in Linguistics from Princeton University. Her work bridges theoretical morphology with variationist sociolinguistics. Ph.D., Linguistics, New York University A.B., Linguistics, Princeton University Lee's research investigates: Linguistic mental representations through computational simulations and experimental methods English morphological/syntactic variation Asian American ethnolinguistic repertoire formation Artificial language learning paradigms Her recent publications focus on particle verb alternation, syntactic universals, and computational modeling of language acquisition. She actively presents at major conferences including LSA, NELS, and NWAV. Lee teaches: First-year writing Theoretical linguistics Sociolinguistics Quantitative/Experimental methods in linguistics She serves on the Baruch Undergraduate Admissions Committee as a Faculty Presenter.
Maryam Singery, PhD is an Associate Professor at the University of Texas at San Antonio , affiliated with the Klesse College of Engineering and Integrated Design within the Architecture and Planning department. Her research bridges sustainable architecture, urban planning, and climate-responsive design, with a focus on historical structures, smart city components, and energy-efficient building systems. Role: Associate Professor, Klesse College Research: Sustainable urban design, space syntax, historical bridges Her publications highlight a commitment to urban sustainability , including analysis of historical bridges, smart cities, and energy-saving architectural solutions. She has explored topics such as the sense of place in Iranian bridges, space syntax in landscape analysis, and thermal optimization in residential buildings. Her work emphasizes the intersection of environmental design, technology, and cultural heritage. While no specific scientific awards are listed, her career reflects extensive engagement with international conferences like the World Renewable Energy Congress and interdisciplinary collaborations in architectural and urban innovation.
Beatrice Markhoff is a Professor of Computer Science (CNU 27) at the University of Tours , affiliated with the Faculty of Science and Technology (Blois site) and the Computer Science Department . She is a member of the UMR CNRS 7324 - CITERES - Archaeology and Territories Laboratory (CITERES-LAT) and the Maison des Sciences de l'Homme Val de Loire (MSH VdL) . Her research focuses on semantic interoperability , Web of data , knowledge representation , and knowledge extraction , with significant collaborations in cultural heritage disciplines . Doctorate in Computer Science, University of Franche-Comté (1995) HDR (Habilitation to Direct Research), François Rabelais University of Tours (2013) Her research themes include semantic interoperability, knowledge engineering, and data mining, with applications in cultural heritage. She co-created the International Workshop on Semantic Web for Cultural Heritage and co-edited special issues for the Semantic Web Journal and JOCCH . She leads projects like ANR SESAMES (2018-2023), H2020 ARIADNEplus (2019-2022), and H2020 4CH (2021-2023). Her academic contributions span XML data management, semantic web technologies, and functional programming. Key projects include carto4CH for cultural heritage mapping and OpenArchaeo for knowledge graph profiling. She has co-supervised PhD theses on topics like LOD querying and knowledge extraction from Wikidata .
Antonov Anton is a Lecturer at the Institut national des langues et civilisations orientales , specializing in Japanese studies . His research focuses on historical linguistics , descriptive linguistics , and typology across Asia, Eurasia, and North America . His work with the CRLAO (Centre de Recherche Linguistique sur l'Asie Orientale) emphasizes cross-linguistic analysis of morphosyntactic phenomena, including direct/inverse systems , allocutivity markers , and grammaticalization processes . He has contributed to debates on the Transeurasian language hypothesis and loan verb integration in mixed languages. Antonov's teaching covers Grammar , Classical Language , Japanese Linguistics , Lexicology , and Typology at both undergraduate (L3) and graduate (M1/M2) levels. His methodological expertise spans synchronic and diachronic analysis of linguistic structures.
Gábor Kata is a Lecturer at INALCO (National Institute of Oriental Languages and Civilizations) in Paris, France. He works within the Computer Science Multilingualism department, contributing to the ERTIM research team . His expertise spans Computational Semantics , Syntax-Semantics Interface , and Natural Language Processing (NLP) . CNU Discipline: 27 - Computer Science Areas of Expertise: Europe Teaching Themes: Lexical Semantics, Computational Semantics, Linguistics for NLP, NLP His research focuses on Computational Semantics and Syntax-Semantics Interface , with particular attention to NLP applications. His scholarly output reveals trends in semantic relation extraction , anomaly detection in text data , and knowledge base population using both supervised and unsupervised learning approaches. This work often employs graph-based methods and vector space analysis across multilingual contexts.
Zeynep YILMAZ serves as a full-time Lecturer at Kastamonu University's Ihsangazi Vocational School in the Department of Law, Turkey. She concurrently holds significant administrative roles including Deputy Department Head (2023-present), Education-Teaching Quality Sub-Committee Member (2023-present), and OSB Unit Coordinator (2022-present). Education: PhD in Turkish Language Education from Istanbul University-Cerrahpaşa (2021) Master's in Modern Turkish Language (Thesis) from Sakarya University (2010) Master's in Turkish Language and Literature Teaching (Non-Thesis) from Marmara University (2006) Bachelor's in Turkish Language and Literature from Sakarya University (2003) Research Focus: Dr. YILMAZ specializes in Phonology , Syntax , and Discourse Analysis with particular emphasis on Turkish linguistic structures. Her work bridges theoretical linguistics and practical language education, evidenced by her certificate in Teaching Turkish to Foreigners (2013) and advanced English proficiency (YÖKDİL 66, 2019). Publication Profile: Her sole publication analyzes vocabulary patterns in Tanpınar's seminal literary history text, demonstrating interdisciplinary connections between linguistic theory and Turkish literary criticism. This work represents emerging scholarship in historical Turkish lexicology within contemporary academic discourse. Academic Service: Beyond teaching core courses like Justice Psychology and Keyboard Techniques, she actively shapes institutional policy through administrative leadership. Her dual expertise in language education and legal terminology uniquely positions her within vocational legal training frameworks.
Dragana Špica is an Assistant Professor at the Department of Asian Studies , Juraj Dobrila University in Pula . She specializes in Japanese language education and intercultural communication, teaching undergraduate and graduate courses including Japanese language through media, conversational practice, and intercultural communication. Her research focuses on Phonetic challenges in Japanese language acquisition Cross-linguistic comparisons between Japanese and Croatian Lexicography and bilingual dictionary development Online language teaching methodologies Adjective-verb interactions in Japanese Recent publications examine vowel length perception, nasal sound articulation, and educational technology applications. She supervises student projects related to Japanese language and culture. Contact: dragana.spica@unipu.hr
Morten Rhiger is an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, specializing in programming language theory and implementation with expertise in semantics, type systems, and compiler design. His research portfolio centers on: Programming Languages : Core design principles and theoretical foundations Semantics : Formal denotational and operational frameworks Type Systems : Safety mechanisms and correctness verification Compilers : Optimization techniques and runtime systems Program Generation : Staged computation and automatic code synthesis Multi-stage Languages : Runtime code generation and partial evaluation Publication trends reveal sustained contributions from foundational work (2009-2012) on pattern combinators and staged computation to recent innovations in type-based uncurrying (2024), with significant interdisciplinary work on energy-transparent systems (2016). His research consistently bridges theoretical rigor with practical implementation challenges. Rhiger actively contributes to major research initiatives including ENTRA (2012-2015) for energy transparency, NUSA (2011-2013) for model checking, and recent energy-certification projects (2020-2022), demonstrating sustained focus on program analysis and energy-aware computing. He maintains strong community engagement through organizing the Copenhagen Programming Languages Workshop and participating in key conferences including the Symposium on Implementation and Application of Functional Languages.
Catherine Lesley Blake serves as Professor and Associate Dean for Academic Affairs in the School of Information Sciences (iSchool) at the University of Illinois at Urbana-Champaign. She additionally holds a joint appointment as a Health Innovation Professor in the Carle Illinois College of Medicine and maintains a courtesy appointment in Computer Science. Her extensive affiliations include the National Center for Supercomputing Applications (NCSA), the Illinois Informatics Institute (I3), and the Personalized Nutrition Initiative (PNI). Dr. Blake's research explores both human and automated methods to synthesize evidence from text, with nearly two decades of experience in text mining and natural language processing, primarily in biomedicine. Her work centers around the Claim Framework, which provides both a conceptual framework and automated methods that extract key findings from empirical studies in medicine, toxicology, and epidemiology. Her research spans diverse areas including chemical risk assessment, health data literacy, exposome analysis, and socio-technical data analytics. She has also explored text mining applications in humanities to detect authorship from movie reviews and in news stories for textual entailment recognition. Her publication portfolio demonstrates strong trends toward applying NLP and text mining techniques to health-related problems, particularly in chemical risk assessment, cancer research, and evidence-based medicine. The most recent works show increasing focus on using semantics to scale up evidence-based chemical risk assessments, analyzing exposome factors that impact cancer, and developing methods for automated systematic reviews. These publications reveal a consistent trajectory of applying computational methods to solve complex biomedical and environmental health problems. JASIST Best Paper Award for collaborative information synthesis papers Honorable mention at iConference (2013) for identifying claims in social science literature Principal Investigator for the NSF's Midwest Big Data Innovation Hub Recipient of multiple NSF, NIH, and IMLS grants totaling over $5 million As an educator and mentor, Dr. Blake has supervised numerous doctoral students including Jooho Lee, Henry Gabb, and Ana Lucic who have gone on to successful careers in academia and industry. She currently mentors Ryan Wang, George Vazquez, Don Keefer, and Jaemin Yang. Her grant portfolio includes significant funding from NSF, NIH, IMLS, VA, and industry partners like CISCO, with recent projects focusing on health data literacy ambassadors, chemical risk assessment, and AI for social impact. She regularly teaches courses including Database Design & Prototyping (IS455) and Text Mining (IS567). Dr. Blake leads multiple research initiatives including the Midwest Big Data Innovation Hub, which drives efforts to use AI for social impact in the region. Her work on the Claim Framework has established a robust infrastructure for evidence-based discovery, while her projects with the Personalized Nutrition Initiative and Illinois Informatics Institute demonstrate strong interdisciplinary collaboration across campus. Current research teams focus on developing methods to harness exposome factors that impact cancer, creating health data literacy programs for middle schoolers, and using text mining to identify privacy statement facets.
Matthieu Labeau is a Senior Lecturer at Télécom Paris, affiliated with the Department of Image, Data, Signal (IDS). He joined the institution in 2019 after completing his PhD at the University of Paris-Saclay and a postdoctoral position at the University of Edinburgh. His research primarily centers on Natural Language Processing (NLP), with specialized interests in representation learning, language modeling, and conversational AI. His work spans: Core NLP : Contextual word representations, semantic alignment, and polysemy analysis. Machine Learning : Hierarchical classification, graph prediction, and few-shot learning techniques. Applications : Emotion recognition in dialogues, persuasiveness decoding, and educational NLP tools. Labeau leads research in the Signal, Statistics and Learning (S2A) team at the Information Processing and Communication Laboratory (LTCI). His recent publications demonstrate a strong focus on improving language model interpretability and efficiency, with innovations in tokenization effects and multimodal fusion. Though no awards or grants are mentioned, his consistent output in top-tier venues (e.g., NeurIPS, ACL, AAAI) highlights significant scholarly contributions. He actively collaborates on tools like EZCAT for conversation annotation and mentors researchers in NLP projects. Current work explores LLM capabilities in persuasion assessment and optimal transport methods for graph-based learning.
Giuseppe Samo is an Associate Professor in Linguistics at Beijing Language and Culture University and a Research Associate at the University of Geneva's Centre Universitaire d’Informatique. He is affiliated with the University of Geneva's Faculty of Letters and the IDIAP research center. His work bridges quantitative computational syntax with syntactic cartography , focusing on V2 phenomena and toponym analysis. His research interests include syntactic structure modeling , machine learning applications in linguistics , and game-based research methodologies . He specializes in language variation , computational analysis of linguistic data , and digital humanities , particularly examining urbanonym semantics and multilingual corpora . Recent publications demonstrate trends in computational syntax (7/15), toponymic studies (4/15), and language technology (4/15). Key methodologies involve quantitative analysis of syntactic locality, cross-linguistic comparisons , and synthetic dataset creation for testing large language models. He leads the research project 'Encoding syntactic structures as vectorial representations for deep learning' (funded by Beijing Language and Culture University, #20YBB06). His collaborative work spans institutions in Switzerland, Italy, and China , with notable contributions to diachronic syntax and epigraphic data encoding .
Lars Fant is a Professor at the Department of Romance Studies and Classics, Stockholm University, focusing on Pragmatics , Interactional Linguistics , Second Language Acquisition , and Intercultural Communication . He has supervised over 20 PhD and MA theses in Spanish, Portuguese, and Italian, and co-authored key language education materials like Bonnier's Spanish Grammar (2004, revised 2015) and a Course in Mediation (2007). Research Groups : Co-founder of RomSLA (Romance Languages and Second Language Acquisition) and RomLing (Romance Linguistics). Projects : Led programs like 'High-level Proficiency in Second Language Use' (funded by Riksbankens Jubileumsfond) and 'Interaction, Identity, and Language Structure' (funded by SU Humanities grant). Research Trends from his 200+ publications include cross-linguistic analysis of pragmatic markers , discourse strategies in advanced L2 users, and prosodic transfer from L1 to L2. His work bridges theoretical linguistics (e.g., syntactic periphery, modalisation) and applied pedagogy, emphasizing contrastive approaches in language teaching. Teaching spans BA/MA/PhD levels, covering Spanish phonetics, second language acquisition, scientific methodology, and historical linguistics. His supervision includes topics like metadiscursive markers , causative motion expressions , and discourse strategies in heritage speakers .
Rakel Österberg is an Associate Professor in Spanish Linguistics at Stockholm University's Department of Romance Studies and Classics. Her work focuses on second language acquisition, academic writing, and heritage language education for Romance languages, particularly Spanish. She collaborates internationally through research groups like RomSLA (Romance Languages and Second Language Acquisition) and previously worked on the TAL project examining foreign language education alignment in Swedish schools. Research Themes: Syntax in native/non-native speech, multilingual writing development, heritage language biliteracy Teaching: Supervises bachelor and master's theses, teaches SLA, Spanish grammar, academic writing, and language education Key Collaborations: Works with Dr. Lars Fant (SU) on high-proficiency L2 syntax, co-authored projects with Dr. Alejandra Donoso (Linnaeus University) and Dr. Enrique Sologuren (Universidad de los Andes, Chile) Recent publications analyze syntactic peripheries in Romance languages, multilingual academic writing, and heritage language maintainence. She co-organized international workshops on Spanish heritage language in Sweden (2014, 2019) and contributes to shaping language education policy through the TAL project's findings. Contact: rakel.osterberg@su.se | ORCID: 0000-0002-6125-4755
Achla M Raina is a Professor in the Department of Humanities and Social Sciences at Indian Institute of Technology Kanpur (IIT Kanpur) . Her expertise lies in cognitive and theoretical linguistics, with a focus on South Asian languages. Education: PhD in Linguistics, Indian Institute of Technology Kanpur (1992) M.Phil in Linguistics, Delhi University (1984) M.A. in Linguistics, Delhi University (1982) M.A. in English Literature, Kashmir University (1980) B.A. in English Literature, Kashmir University (1978) Research Focus: Her work spans Cognitive Linguistics , Pragmatics , Lexical Semantics , and Sign Linguistics , with particular attention to Indic languages like Kashmiri and Hindi. She explores how meaning is constructed in language through cognitive and cultural lenses. Teaching Areas: She teaches courses in cognitive linguistics, natural language semantics, computational linguistics, language acquisition, language evolution, Indian linguistic tradition, sociolinguistics, pragmatics, philosophy of language, generative linguistics, communication studies, and language teaching . Publications Overview: Her research output includes studies on classifier systems in Kashmiri, co-eventual verbs in Hindi, and semantic compositionality in complex predicates, reflecting a deep engagement with both theoretical and empirical linguistics. Contact: achla@iitk.ac.in | Office: FB324, Department of Humanities and Social Sciences, IIT Kanpur | Phone: +91-512-259-7894
Chaithra Puttaswamy is an Associate Professor in the Department of Humanities and Social Sciences at the Indian Institute of Technology Kanpur. She holds a PhD in Linguistics from SOAS, London (2009), an M.A. from JNU Delhi (2002), and a B.Sc. from Bangalore University (2000). Her research specializes in Field Linguistics with a focus on the Malto language, including documentation projects funded by the Endangered Languages Documentation Programme and IIT Kanpur. Research Interests: Her work centers on descriptive linguistics, morphological analysis, and grammatical documentation of endangered languages. Key themes include verb structures, valence operations, and classifier systems in Dravidian languages. Publications: Her articles (2009) explore structural linguistics through the lens of Malto grammar, emphasizing morphosyntactic patterns and language documentation methodologies. Awards: Felix Scholarship for PhD studies at SOAS, London (2004–2008)
