Find Academic Supervisors

Slava JankinView profile

Professor

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

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.

Sarah EblingView profile

Professor

• Computational Linguistics
• Assistive Technologies
• Sign Language Technologies
• +7 more

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

• Computational Linguistics
• Cognitive Science
• Machine Learning
• +3 more

Lena Jäger is a Professor in the Department of Computational Linguistics at the University of Zurich (UZH). Her research focuses on the intersection of linguistics, computational cognitive science, and machine learning, particularly analyzing cognitive mechanisms underlying human language processing through experimental psycholinguistics, computational modeling, and NLP methods. She holds an MA in Chinese Language and Culture, an MSc in Experimental and Clinical Linguistics, a PhD in Cognitive Science, and a BSc in Computer Science. Prior to UZH, she led a Machine Learning Junior Research Group funded by the German Federal Ministry of Education and Research (2020) and conducted postdoctoral research at the University of Potsdam. Her work emphasizes developing machine learning methods for analyzing eye-tracking data to uncover cognitive processes reflected in eye movements. Notable contributions include creating multilingual eye-tracking corpora (e.g., MultiplEYE, PoTeC) and advancing tools like pymovements for data processing. Her research spans applications in language comprehension, biometric identification, and clinical diagnostics (e.g., ADHD detection via eye movements). Education: BA/MA: Chinese Language and Culture (University of Freiburg, Tongji University, Beijing Language and Culture University, Université Paris 7) MSc: Experimental and Clinical Linguistics (University of Potsdam) PhD: Cognitive Science (University of Potsdam) BSc: Computer Science (concurrent with PhD) Awards: Machine Learning Junior Research Group Grant (2020). Labs/Teams: Leads computational linguistics and machine learning research groups at UZH, collaborating on projects like ScanDL and CoLAGaze. Her recent work bridges AI and cognitive science, exploring how language models emulate human reading behaviors and developing frameworks for ethical AI applications. Ongoing projects include improving fairness in biometric identification systems and analyzing individual differences in reading through synthetic data.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +7 more

Tuğba Dalyan is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a Ph.D. in Computer Engineering from Yıldız Technical University (2014), an MSc from Kocaeli University (2007), and dual BSc degrees in Mathematics and Computer Science and Business Administration (Minor) from Istanbul Bilgi University (2003). She has been a faculty member since 2016 and previously served as a Teaching Staff member and Research Assistant at the same institution. Her research focuses on Natural Language Processing , Machine Learning , Deep Learning , Text Mining , Data Science , and Big Data Analytics . Her work spans computational linguistics, sentiment analysis, author profiling, machine translation, and smart systems. She has led and contributed to numerous research projects, particularly in AI-driven urban solutions and health technologies. The most recent publications show a strong trend in Turkish NLP, zero-shot classification, multimodal AI (image captioning), emotional robotics, and decision support systems using fuzzy logic. Her work combines theoretical rigor with practical applications in smart cities, education, and healthcare. Best Paper Award , CICLing 2012 TÜBİTAK 2209-A student project awards (2022–2024) Horizon2020 Eşik Üstü Ödülü , MIMOSCSA 2024 TÜBİTAK 2242 competition: 2nd and 3rd place (2016, 2018) She has advised numerous student research projects, many of which have received national recognition. She has directed multiple TÜBİTAK and institutional research grants, including projects on smart homes, blockchain crowdfunding, mental health, and AI for social polarization. Her leadership roles include Head of Department, Vice Dean, and Director of Graduate Programs. Tuğba Dalyan leads research in AI and NLP with a strong emphasis on Turkish language technologies. She is involved in interdisciplinary teams working on emotional robots, smart city platforms, and citizen science ecosystems. Her lab activities focus on neural networks, text analysis, and intelligent systems development.

• Computational Linguistics
• Natural Language Processing
• Multilingual Models
• +7 more

Malvina Nissim is a leading researcher in computational linguistics and NLP at the University of Groningen's Department of Artificial Intelligence, with a focus on multilingual modeling, bias mitigation, and human evaluation frameworks. Key Contributions : Developed CALAMITA (Italian LLM benchmark), IT5 models for Italian language processing, and ReproHum framework for NLP evaluation reproducibility Research Pillars : Multilingual reasoning consistency, perspective-based text analysis, and figurative language modeling Her work spans activation steering techniques, cross-lingual transfer learning, and the creation of specialized language resources like the EurekaRebus dataset and MAGPIE idiom corpus. She pioneered methods for gender bias measurement in BERT and developed the SocioFillmore tool for perspective visualization. Recent publications explore model uncertainty as MCQ difficulty proxy, Italian headline generation benchmarks, and multilingual multi-figurative language detection. She actively participates in teaching initiatives like the "NLP with Bracelets" workshop for Italian high school students. Scientific Awards : ACL Best Paper Award (2025) EMNLP Outstanding Reviewer (2023) EVALITA Leadership Recognition (2024) She advises PhD students in model bias analysis and has contributed to the development of the Dutch Abusive Language Corpus (DALC) and the ReproNLP reproducibility framework. Her collaborations span institutions in Italy, Netherlands, and international NLP communities.

Andrei KutuzovView profile

Associate Professor

• Computational Linguistics
• Natural Language Processing
• Semantic Change Detection
• +6 more

Andrei Kutuzov is an Associate Professor in the Language Technology Group (LTG) within the Department of Informatics at the University of Oslo. He serves as the Norwegian on-site manager of the High-Performance Language Technology (HPLT) project and has made significant contributions to computational linguistics and natural language processing. His research primarily focuses on computational linguistics and natural language processing, with specialized expertise in semantic change detection, diachronically aware language models, distributional semantics, and large language models. Kutuzov has been instrumental in developing Norwegian language resources including NorBERT, NorELMo models, and the very large-scale NORA.LLM generative models. He created WebVectors, a web service for exploring neural distribution models for Norwegian and English texts. Analysis of his recent publications reveals a strong focus on semantic change modeling, multilingual dataset development, and Norwegian language technology. His work spans from theoretical linguistic analysis to practical applications in language modeling, with significant emphasis on low-resource and Nordic languages. Kutuzov's research demonstrates a consistent trajectory toward improving language models' understanding of semantic evolution and developing robust evaluation frameworks for Norwegian language processing. Norwegian Artificial Intelligence Research Consortium (NORA) award as Distinguished Early Career Researcher (2022) Kutuzov teaches several advanced courses including IN5550 - Neural Methods in Natural Language Processing (2019-2025) and IN3050 - Introduction to Artificial Intelligence and Machine Learning (2024-2025). He has received research funding through the HPLT project which focuses on developing high-performance language technologies. His laboratory work centers around the Language Technology Group at UiO, where he collaborates on developing Norwegian language resources and models, with particular emphasis on diachronic semantic analysis and multilingual capabilities.

Jakob LeimgruberView profile

Professor

• World Englishes
• Sociolinguistics
• Language planning and policy
• +5 more

Prof. Dr. Jakob Leimgruber is Professor of English Linguistics at the University of Regensburg since 2022, where he is affiliated with the Department of English and American Studies within the Faculty of Languages, Literature, and Cultures. Previously, he served as Substitute Professor at the University of Freiburg (2020-2022) and Lecturer at the University of Basel (2018-2022). His academic journey includes a Habilitation in English Philology from the University of Freiburg (2018), a DPhil in English Language from the University of Oxford (2009), and a Licence ès lettres in English Linguistics from the University of Fribourg (2005). Leimgruber's research centers on World Englishes with particular focus on East and Southeast Asia, sociolinguistics, language planning and policy, linguistic landscapes, language contact phenomena, language variation and change, indexicality, and authenticity. His work employs empirical approaches including corpus linguistics, fieldwork, and eye-tracking methodologies to investigate multilingual contexts across Singapore, Montreal, Taiwan, and the UAE. He has made significant contributions to understanding Singapore English, linguistic landscapes in multilingual cities, and language variation in postcolonial contexts. His publication record demonstrates consistent research output across multiple high-impact journals in linguistics, with a strong focus on empirical studies of language variation in specific contexts. Recent work shows increased attention to East Asian Englishes beyond Singapore, including Taiwan, and expanding investigations into the linguistic landscapes of global cities like Dubai. His research often employs collaborative approaches with international scholars across multiple institutions. Leimgruber has been active in academic service through numerous conference presentations including invited talks at institutions worldwide, participation in research workshops, and contributions to edited volumes on World Englishes and multilingual cities. His work bridges theoretical linguistics with practical applications in language policy and education. As an academic leader, Leimgruber has directed research projects examining multilingualism in global contexts, with particular attention to the role of English in shaping linguistic landscapes and identity construction. His recent work has increasingly focused on comparative approaches across different multilingual settings, examining common patterns and context-specific variations in how English functions in diverse sociolinguistic environments.

• Easy Language Research
• Plain Language Translation
• Accessible Communication
• +6 more

Dr. Silvana Deilen is a Researcher at the Institute for Translation Studies & Technical Communication within the Faculty of Language and Information Sciences at the University of Hildesheim. She joined the university in 2023 after working as a Research Associate at Johannes Gutenberg University Mainz from 2018-2024. Her primary research focus centers on accessible communication, particularly in the areas of Easy Language and Plain Language translation, with special emphasis on cognitive aspects of translation processes and AI-assisted translation technologies. Dr. Deilen earned her B.A. in Multilingual Communication from Cologne University of Applied Sciences (2012-2015), followed by an M.A. in Specialized Translation from the same institution (2015-2018). She completed her doctoral studies (Dr. phil.) in Translation Studies at Johannes Gutenberg University Mainz (2018-2021) with summa cum laude distinction, supervised by Prof. Dr. Silvia Hansen-Schirra and Prof. Dr. Arne Nagels. Her research interests span multiple interconnected domains within translation and communication accessibility. A significant portion of her work examines the cognitive processing of compound words in Easy Language, utilizing eye-tracking methodologies to investigate how visual segmentation affects reading behavior and cognitive load. She has pioneered research on AI-assisted translation for health communication, particularly focusing on how large language models can support the creation of accessible health information. Her work bridges theoretical translation studies with practical applications in healthcare, government communication, and digital accessibility. Dr. Deilen's publication record reveals a clear trajectory toward increasingly sophisticated integration of technology and accessibility. Her recent work shows strong emphasis on evaluating AI systems like ChatGPT for translation tasks, developing editorial workflows for AI-assisted translation of health information, and investigating cognitive aspects of compound translation. The interdisciplinary nature of her research connects linguistics, cognitive science, health communication, and artificial intelligence, demonstrating how translation studies can address real-world accessibility challenges. 2014 & 2016: PROMOS Scholarships 2018-2021: Doctoral Scholarship from Gutenberg Young Researchers College 2020: Best Student Paper Award at Swiss Conference on Barrier-free Communication 2023: Award for Outstanding Dissertation from Johannes Gutenberg University Mainz 2023: Multiple research grants from University of Hildesheim, Wort & Bild Verlag, and Niedersachsen Zukunftsdiskurse 2025: DAAD Postdoctoral Research Grant Dr. Deilen actively collaborates on significant research projects including the KI-GesKom project (AI-Supported Health Communication in Plain Language), which receives funding from the state of Niedersachsen. She works closely with Prof. Dr. Ekaterina Lapshinova-Koltunski, Prof. Dr. Christiane Maaß, and Sergio Hernández Garrido as part of the Research Center for Easy Language. Her work with the Apotheken Umschau demonstrates practical application of research, translating health information into accessible formats for people with communication limitations. Dr. Deilen also contributes to the academic community as a program chair and scientific committee member for international conferences including UCCTS 2025 and Translation in Transition 2024.

• Language Acquisition
• Communicative Development
• Child Development
• +5 more

Anna Theakston is a Professor of Developmental Psychology at the University of Manchester where she holds the position of Head of Division for the Division of Psychology Communication and Human Neuroscience. She is also Co-director of the ESRC International Centre for Language and Communicative Development (LuCiD), a major research initiative focused on language development in children. Dr. Theakston completed her undergraduate degree in Psychology at the University of Nottingham and earned her PhD through research at the University of Manchester on early language development in children aged 2-3 years. She subsequently coordinated the Manchester-based Max Planck Child Study Centre before being appointed to her current professorship. Her research focuses on children's early language and communicative development during preschool and early school years, situated within a usage-based framework that emphasizes child-environment interactions and caregiver input. Her work spans multiple areas including early gestural communication, caregiver-child interactions, grammatical construction acquisition, grammatical error origins, inflectional morphology, and syntax-semantics-pragmatics interfaces in complex language development. She frequently conducts crosslinguistic comparisons and employs diverse methodologies from corpus analysis to behavioral experiments, often collaborating with computational modelers. Analysis of her recent publications reveals strong emphasis on children's comprehension and production of complex sentence structures, particularly adverbial and complement clauses, with investigations into how information structure, iconicity, and pragmatic factors influence language development. Her work increasingly examines applications in real-world contexts including schools, nurseries, and cultural institutions, with growing attention to supporting deaf children's communication development and multilingual education. Co-Director, ESRC International Centre for Language and Communicative Development (LuCiD) Active researcher with 111 research outputs including articles, datasets, and book chapters Recipient of research funding from ESRC and Max Planck Institute Professor Theakston supervises numerous PhD students investigating various aspects of language development, with recent projects examining tag questions, cultural institutions' role in language learning for minority populations, science interventions for deaf children, and Modern Foreign Language teaching in multilingual classrooms. Her research has practical impact through tools like the Teacher Toolkit for Teaching Primary MFL in Multilingual Key Stage 2 Classrooms and initiatives supporting deaf children's social communication skills. She maintains active collaborations with researchers across multiple disciplines and institutions, as evidenced by her extensive co-authorship network. Her work contributes to UN Sustainable Development Goals related to quality education and reduced inequalities.

Paul RaysonView profile

Professor

• Natural Language Processing
• Corpus Linguistics
• Semantic Multilingual NLP
• +7 more

Professor Paul Rayson is a Professor of Natural Language Processing in the School of Computing & Communications at Lancaster University, UK. He serves as Director of the UCREL (University Centre for Computer Corpus Research on Language) interdisciplinary research centre and is affiliated with multiple research institutes including Security Lancaster, the Lancaster Centre for Digital Humanities, and the Data Science Institute. Education: PhD in Computer Science, Lancaster University (2003) BSc (Hons) Computer Science and Mathematics, Lancaster University (1990) Professor Rayson's research focuses on semantic multilingual Natural Language Processing (NLP) in challenging linguistic environments with noisy language data, including historical texts, learner language, speech, email, and other computer-mediated communication. His work spans applications in dementia detection, mental health analysis, online child protection, cyber security, learner dictionaries, and text mining of biomedical literature, historical corpora, and financial narratives. He has developed semantic tagging tools like USAS (UCREL Semantic Analysis System) and Wmatrix for corpus analysis. Major Awards and Honors: FHEA (Fellow of the Higher Education Academy) MBCS (Member of the British Computer Society) Professor Rayson has supervised numerous PhD students in NLP and corpus linguistics, with eight current students and seven completed doctorates. He has led or co-investigated multiple major research projects including the £3.5m ESRC-funded Centre for Corpus Approaches to Social Science (CASS), the National Corpus of Contemporary Welsh, and projects related to mental health forums, financial narrative analysis, and cyber security. His research has been supported by ESRC, EPSRC, and other funding bodies. As Director of UCREL, he oversees research in corpus linguistics and NLP. He is also active in the Cyber Security Research Centre, Digital Health Group, and multiple Data Science Institute initiatives. His lab has developed several widely-used NLP tools including CLAWS for English POS tagging, USAS semantic analysis system, Wmatrix corpus analysis tool, and the Variant Detector (VARD) for historical texts.

• Corpus Linguistics
• Applied Linguistics
• Theoretical Linguistics
• +3 more

Professor Tony McEnery is a Distinguished Professor of English Language and Linguistics at Lancaster University, where he has held various senior roles, including Dean of the Faculty of Arts and Social Sciences (2008–2014) and Head of the Department of Linguistics and English Language (2000–2005). His research focuses on corpus linguistics, applied linguistics, and sociolinguistics, with notable contributions to corpus-based analyses of historical medical discourse, media representation of Islam, and swearing in English. He has led major research projects, including the ESRC Centre for Corpus Approaches to Social Science (CASS) and the Trinity Lancaster Corpus. McEnery has secured over £10 million in research funding and holds visiting professorships at institutions worldwide, including Zhejiang University of Media and Communications and Shanghai International Studies University. He is a Fellow of the Academy of Social Sciences, Trinity College London, and the Royal Society for the Arts. Education: No explicit details provided, but his career trajectory implies advanced degrees in linguistics. Research Interests: Corpus linguistics applications in theoretical and applied linguistics, historical language analysis, and language as a socially situated phenomenon. McEnery’s work extends to interdisciplinary collaborations, including projects with the Environment Agency and the Home Office. His teaching includes summer schools in corpus linguistics and a Futurelearn MOOC, reaching tens of thousands globally. He advises on research funding for international bodies like the Irish Research Council and the Qatar National Research Foundation. Grants and Awards: Queen’s Anniversary Prize (2015), Changjiang Chair (2021), and multiple fellowships. Current grants include the Lancaster-Northern Arizona corpus and the Trinity Lancaster Corpus projects. Advising and Labs: Supervises postgraduate students in linguistics and collaborates with teams like the ESRC CASS Centre and UCREL (University Centre for Computer Corpus Research on Language).

• Social Media Analysis
• Sentiment Analysis
• Computational Journalism
• +6 more

Fabrício Benevenuto is an Associate Professor in the Computer Science Department at Federal University of Minas Gerais (UFMG), where he conducts interdisciplinary research at the intersection of social media analysis, data science, and computational journalism. His work spans complex networks, machine learning, and natural language processing with strong societal impact. His research focuses on social media dynamics, particularly in Brazilian contexts, with major contributions to hate speech detection, fake news analysis, and political discourse monitoring. He leads large-scale projects against misinformation, including development of systems like WhatsApp Monitor, Media Bias Monitor, and Purple Feed. His work combines technical innovation with real-world applications for election transparency and public discourse integrity. Benevenuto's recent publications demonstrate strong trends in multilingual NLP for social media analysis, with emphasis on Brazilian Portuguese contexts. His team produces both theoretical contributions and practical systems addressing hate speech, misinformation, and media bias. Notable methodological approaches include combining network analysis with linguistic features, developing culturally-aware detection systems, and creating large annotated datasets for understudied languages. CAPES award for best Brazilian computer science thesis (2010) Humboldt Foundation scholarship recipient (2017-2018) Member of TikTok Safety Advisory Council WWW'20 Best Paper Nominee & CNIL-INRIA Privacy Protection Prize winner Multiple best paper awards at CEAS, WBC, and ICWSM conferences Test-of-Time Award at ICWSM'20 Benevenuto actively mentors PhD and MSc students, with numerous advisees securing academic positions at Brazilian universities and research roles at institutions like Max Planck Institute. His projects often receive funding supporting interdisciplinary collaborations across computer science and social sciences. Current work includes large-scale analysis of Telegram political groups, real-time election monitoring systems, and developing culturally-aware NLP tools for Portuguese. He leads research teams working on social media analysis systems with societal impact, particularly focused on Brazilian digital ecosystems. Projects involve cross-institutional collaborations with researchers from MPI-SWS, Max Planck Institute, and various Brazilian universities, emphasizing practical applications for public discourse integrity.

• Spanish for the Professions
• Translation and Interpreting
• Language Access Policies
• +6 more

Reynaldo Romero serves as Associate Professor in the Department of History, Humanities and Languages at the University of Houston-Downtown, where he has maintained active teaching and research since at least 2012. His academic foundation spans linguistics, public health, and translation studies across multiple institutions. His educational background includes: Ph.D. in Spanish Linguistics from Georgetown University (Dissertation: Structural Consequences of Language Shift: Judeo-Spanish in Istanbul) M.P.H. in Community Health Practice from UTHealth (Dissertation: Beliefs on COVID-19 vaccination among Hispanic day laborers) M.A. in Translation from Kent State University Multiple B.A. degrees in French, General Linguistics, and Spanish Language/Linguistics from Rice University Romero's research creates critical intersections between linguistic theory and real-world applications. His work on Spanish for the Professions establishes frameworks for medical and legal interpreting while addressing systemic language access barriers. The scholarship on endangered languages—particularly Judeo-Spanish and Afro-Hispanic varieties—combines rigorous documentation with urgent revitalization efforts. His healthcare access research directly engages Houston's linguistic minorities through community-based projects like the Medical Translation Project with HISD. Recent publications reveal three dominant trajectories: (1) advancing methodologies in Afro-Hispanic linguistics through collaborative edited volumes; (2) developing social justice frameworks for marginalized language communities; and (3) documenting endangered linguistic varieties with innovative digital approaches. These threads converge in his community-engaged scholarship that bridges academic research and practical language access solutions. Professional recognition includes: Certified Translator status from the American Translators Association Advanced Professional Analytic Linguist certification Specialized medical and legal interpreter credentials Online teaching certification with digital tools specialization Romero's grant activity demonstrates sustained commitment to practical applications of linguistic research. Current projects include 'Promoting the Critical and Responsible Use of Digital Tools and AI in Written Tasks' (2024-2025), while past work developed medical interpreter training during disaster relief and language access protocols for healthcare settings. His service learning initiatives—like the Medical Translation Project with Houston ISD—create tangible community impact while advancing pedagogical innovation. Through the Medical Translation Project and language access advocacy, Romero cultivates collaborative spaces where academic research directly serves Houston's linguistic minorities. His work with heritage speakers and endangered language communities establishes frameworks for linguistic empowerment beyond traditional academic boundaries.

Shunichi IshiharaView profile

Professor

• Forensic Voice/Text Comparison
• Computational Linguistics
• Intonational Modelling
• +6 more

Shunichi Ishihara is a Professor at the School of Culture, History & Language, The Australian National University, where he leads research in forensic linguistics and computational linguistics. His work focuses on forensic text and voice comparison, authorship attribution, and Japanese linguistic studies. He holds qualifications including a PhD (ANU), MSc (Macquarie), MA (ANU), and BEd (Shizuoka). Research Interests: Forensic Voice/Text Comparison Computational Linguistics Intonational Modelling Japanese Language Processing Stylometric Analysis Research Trends: Recent work emphasizes likelihood ratio-based systems for authorship verification, fusion of acoustic and text features for forensic analysis, and applications of deep learning in text evidence evaluation. His studies often explore cross-lingual comparisons (e.g., Japanese, English, Vietnamese) and system validation methodologies. Grants & Projects: "Likelihood project on author recognition" (2024-2026) "Big Australian Speech Corpus" (2010-2015) Multiple forensic voice/text comparison initiatives Labs & Teams: Director of the Speech and Language Lab, collaborating on speech corpus development and forensic linguistic systems.

Laura CollinsView profile

Associate Professor

• Applied Linguistics
• Bilingualism
• Language Acquisition
• +3 more

Laura Collins is an Associate Professor in the Department of Education at Concordia University, specializing in applied linguistics. Her research focuses on input processing in second language acquisition, pedagogical grammar, and cross-linguistic influence among bilingual speakers. She has extensive international teaching experience across diverse age groups and serves as the 2nd VP of the American Association for Applied Linguistics and Chair of the IRIS digital repository advisory board. PhD in Humanities, Concordia University MEd in Second Language Teaching, University of Ottawa BEd in Second Language Teaching, University of Toronto BA in History, York University Collins' current projects examine the use of speech technologies to extend second language classrooms and document longitudinal grammatical development in school programs. Funded by SSHRC Insight Grants, her work bridges cognitive approaches with practical pedagogical applications. Recent publications highlight trends in classroom input optimization, frequency-based phonological learning, and intensive language program efficacy, with subfields spanning morpheme perception, vocabulary distribution, and task-based interaction dynamics. Her academic leadership includes editorial roles in The Modern Language Journal and contributions to major handbooks. She teaches courses ranging from classroom-based SLA research to pedagogical grammar, emphasizing practical applications of theoretical insights.