Priv.-Doz. Dr. Julia Landmann is an Acting Professor of English Linguistics at the Institute for Anglistik and Amerikanistik, University of Greifswald since 2025. She previously held positions at Heidelberg University (2021-2022), University of Basel (2022-2025), and research/lecturing roles at Heidelberg (2012-2021) and Mannheim/Stuttgart (2012-2014). Her academic journey includes a Habilitation (2022), Doctorate (2006-2011), and studies at Sorbonne Nouvelle (2002-2003), Aberystwyth (2001-2002), and Heidelberg (1999-2005). Research Focus: Cognitive Contact Linguistics, Language of Love/Hate, Migrant Discourse Analysis Publications: Monographs on socio-cognitive lexicon evolution, articles on loanwords from Yiddish/Turkish/Japanese, and cross-cultural discourse studies Projects: Integrates cognitive science with language contact research, examines emotion concept evolution (love/hate), and analyzes migrant identity construction through linguistic strategies. Her work combines Critical Discourse Analysis with Cognitive Science to study contact-induced linguistic changes.
Dr. Anna Rogos-Hebda is an Assistant Professor at the Faculty of English, Adam Mickiewicz University in Poznań, Poland. She is actively involved in research and teaching in the fields of cognitive and historical linguistics, with a strong emphasis on diachronic semantics, emotion terminology, and corpus-based analysis. Faculty of English, Adam Mickiewicz University Researcher in Cognitive and Historical Linguistics Active contributor to international academic conferences Her research interests center on the language of emotions , conceptual metaphor theory , and the diachronic development of abstract categories in English and Polish. She employs corpus linguistics and cognitive semantics to investigate semantic change, particularly in Middle and Late Modern English. Her work explores how emotions such as hope, belief, and hate are linguistically encoded and evolve over time. The recent articles reflect a consistent focus on diachronic cognitive linguistics , with themes including semantic change in emotion terms , conceptualization of social categories (e.g., beggars, refugees, immigrants), and political and ideological discourse . Her methodology is predominantly corpus-based, often involving quantitative and multivariate analysis of lexical usage across time and cultures. She has not been awarded any formal scientific prizes or fellowships mentioned in the text. Dr. Rogos-Hebda has served as an assistant editor for Studia Anglica Posnaniensia (2001–2010) and has been actively involved in organizing academic events such as the History of English Language in Poznań (HEL-P) and Figurative Thought and Language (FTL) conferences. She has received research support through scholarships from the University of Helsinki and Otto Friedrich Universität, Bamberg, as well as a conference grant from the Foundation for Polish Science. She is a member of several professional organizations, including Societas Linguistica Europea (SLE), Polish Association for the Study of English (PASE), International Society for the Linguistics of English (ISLE), and The Philological Society (TPS). She regularly presents her work at major international conferences and contributes to collaborative research projects, particularly with scholars like Małgorzata Fabiszak and Karolina Krawczak-Glynn.
PD Dr. Lutz Rzehak is an academic staff member at the Institute for Asian and African Studies (IAAW) within the Faculty of Humanities at Humboldt University of Berlin, serving as a Teacher for special tasks specializing in Modern Iranian languages and the ethnography and cultural history of Afghanistan and Central Asia. His educational background includes: Oriental Studies/History from the State University of Leningrad (1985) Doctorate in Iranian Studies, Humboldt University of Berlin (1991) Habilitation in Central Asian Studies / Iranian Studies, Humboldt University of Berlin (2001) Dr. Rzehak's research spans Central Asian Studies , Iranian Studies , Ethnography , and Linguistics , with fieldwork focusing on Baloch, Pashtun, and Tajik communities. His work examines language evolution, social structures, and cultural practices through historical and contemporary lenses, particularly regarding Soviet influence and post-Taliban Afghanistan. Key contributions include grammatical analyses of Iranian languages and ethnographic studies of religious rituals and tribal systems. His recent publications (2016-2021) reveal consistent focus on Iranian language dynamics (especially Dari and Pashto), ethnic identity politics in Afghanistan, and cultural history of Central Asia. These works address language change mechanisms, ethnic consolidation strategies, and the interplay between tradition and modernity, often utilizing comparative linguistic and ethnographic methodologies. His scientific awards include: Heisenberg Fellow of the German Research Foundation Dr. Rzehak has held significant research positions including Research Associate in the Crossroads Asia Competence Network (2011-2016) and Heisenberg Fellow (2002-2011). While his CV does not list formal PhD advisees, his language lecturing and research supervision have mentored numerous students in Central Asian and Iranian studies through course instruction and fieldwork guidance. He has been actively involved in the Crossroads Asia Competence Network, a major interdisciplinary research initiative examining transregional connections and historical trajectories across Central, South, and West Asia.
Prof. Gerhard Jäger holds the Chair of General Linguistics at the Faculty of Humanities, University of Tübingen . He serves as a Principal Investigator (PI) in the Clusters of Excellence Human Origins and Machine Learning for Science , and leads projects like Phylomilia (funded by Volkswagen Foundation) and CrossLingference (ERC Advanced Grant). His career spans multiple institutions, including Bielefeld University (2004-2009) and Stanford University (visiting scholar, 2004). Habilitation (2002) at Humboldt University Berlin with thesis on Anaphora and Type Logical Grammar PhD (1996) at Humboldt University Berlin on Dynamic Semantics His research bridges computational linguistics , phylogenetic analysis , and game theory , focusing on Bayesian models , language evolution , and cross-linguistic typology . Recent work explores phylogenetic inference from acoustic speech data and geographic influences on language trees . Key contributions include 15+ recent publications on topics spanning phylogenetic typology , cognate detection , and Bayesian language modeling . These works employ machine learning , statistical inference , and evolutionary game theory to analyze language change , typological variation , and linguistic stability . Honors include ERC Advanced Grant , Volkswagen Foundation funding , and DFG-Humanities Centre for Advanced Studies participation. He has taught courses in Computational Historical Linguistics , Phylogenetic Methods , and Bayesian Data Analysis across institutions like Tübingen, Bielefeld, and Stanford. He actively contributes to academic communities through workshop organization (e.g., Quantitative Theoretical Linguistics , Game Theory in Pragmatics ) and serves on the faculty council at Tübingen. His team collaborates with institutions like Max Planck Institute for Evolutionary Anthropology , University of Pennsylvania , and LMU Munich .
Na'ama Pat-El is a Professor in the Department of Middle Eastern Studies at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Middle Eastern Languages and Cultures Graduate Studies Committee (MELC GSC). She holds a Ph.D. (2008) in Semitic Philology from Harvard University, preceded by studies at Hebrew University under Gideon Goldenberg and Harvard under John Huehnergard. Education: Ph.D., 2008, Harvard University (Semitic Philology) B.A. and M.A., Hebrew University of Jerusalem Her research focuses on Comparative Semitic Linguistics, Historical Linguistics, Syntax, and Language Contact , with a particular emphasis on syntactic change and morphological evolution. She investigates phenomena such as the development of verbal paradigms, plural morphemes, and copulae across Semitic languages, including Akkadian, Hebrew, and Aramaic. Recent publications address topics like the nondevelopment of third-person nominative pronouns in Semitic perfect/stative paradigms, the diachronic shift of East Semitic subordination markers into West Semitic indicative markers, and the reevaluation of Hebrew 'sign' terminology through epigraphic and comparative evidence. Her work also challenges assumptions about paired body part gender assignment in Semitic languages. Selected Publications (2025–2020) explore: Proto-Semitic verbal morphology Historical syntax in Akkadian and Neo-Assyrian Plural-gender mismatches in Hebrew Substrate influences in Levantine Arabic Biblical text linguistics
Gemma Boleda is an ICREA Research Professor at Universitat Pompeu Fabra in Barcelona, Spain, where she co-directs the Computational Linguistics and Linguistic Theory (COLT) research group. Her research focuses on understanding how humans convey meaning through language, investigating the formal properties that support communication, and exploring how languages are shaped by cognitive and communicative factors. Her primary interests include lexical semantics, cross-linguistic variation, and the integration of linguistic theory with computational methods. She employs interdisciplinary approaches combining linguistics, artificial intelligence, and cognitive science, utilizing large-scale data analysis to study universal patterns and variations across languages. Boleda's publications demonstrate a consistent focus on computational semantics, lexical variation, and language evolution. Her recent work explores the intersection of symbolic and neural approaches to language processing, lexical creativity across development and evolution, and computational models of semantic phenomena like colexification and polysemy. She teaches Computational Semantics in the Master's in Theoretical and Applied Linguistics program and has secured significant research funding including ERC Starting Grants. Her work has contributed valuable linguistic resources such as the ManyNames dataset and Database of Catalan Adjectives.
Nina Bandelj serves as a Professor in the Department of Sociology at the University of California, Irvine, where she is an active affiliate of the Center for Organizational Research (COR). Her research bridges economic sociology and family studies, examining how money, debt, and market logics permeate intimate social relations. She frequently participates in COR initiatives like the Academic Speed-Dating events held in Social Sciences Plaza B, fostering interdisciplinary collaboration among scholars. Bandelj's research centers on three interconnected domains: (1) the economization of family life , analyzing how parenting transforms into human capital investment through debt-financed childcare and education; (2) cross-national inequality , investigating ethnic marginalization in Eastern Europe and gender pay gaps within workplaces; and (3) money's social meaning , exploring emotional economies of modern parenting and the valuation of 'priceless' social domains. Her work consistently challenges the 'hostile worlds' thesis by demonstrating how economic and intimate spheres co-constitute each other. Recent publications reveal intensifying focus on debt-driven middle-class parenting (e.g., mortgage debt tied to childrearing) and commodified childhood (e.g., pricing early education), while maintaining strong comparative analysis of postsocialist economies. This trajectory reflects broader shifts in economic sociology toward studying financialization's penetration into familial spheres. Bandelj actively cultivates scholarly communities through COR events and writing initiatives like 'U See I Write,' emphasizing collaborative knowledge production. Her work demonstrates how micro-level family economies scaffold macro-level policy failures, particularly regarding America's family-hostile welfare state.
Arto Anttila is an Associate Professor in the Department of Linguistics at Stanford University and holds an Adjunct Professor (dosentti) position in General Linguistics at the University of Helsinki. His research spans multiple linguistic subfields with particular focus on the interfaces between phonology, syntax, and prosody. Dr. Anttila's research interests include phonology, morphology, syntax, metrics, and language variation. His work often explores how phonological constraints interact with syntactic structures and how variation manifests across different linguistic domains. He has made significant contributions to Optimality Theory, MaxEnt grammar, and probabilistic approaches to phonology. His recent publications demonstrate a strong focus on metrical patterns, stress systems, syllable structure, and the relationship between prosody and syntax. Anttila frequently collaborates with researchers like Giorgio Magri, Adams Bodomo, and Ryan Heuser, examining phenomena across diverse languages including English, Finnish, and Dagaare (an African language). Anttila has developed several computational tools for linguistic research, including CoGeTo (Convex Geometry Tools for constraint-based phonology), MetricalTree (for English phrasal stress prediction), Prosodic (for automatic metrical scansion), T-Order Generator, and OTOrder. These tools reflect his interest in the mathematical and computational aspects of linguistic theory.
Viktória Dabóczi is a lecturer in the Department of German Studies at the University of Siegen, Faculty I. She holds a doctorate from the University of Siegen (2016) and has been actively involved in teaching and research in German linguistics since 2012. Her current academic role as AOR aZ (Akademische Oberrätin auf Zeit) began in June 2025, indicating a senior academic position. She teaches courses such as Introduction to German Linguistics, Grammatical Variation, and Language Acquisition. Research Interests: Her work focuses on word classes, spoken language, grammar theory, language acquisition, and lexical change in German, often with comparative insights from Hungarian. She investigates how words are conceptualized in speech and writing, the evolution of discourse markers, and grammatical variation in contemporary usage. The analysis of her recent publications (2005–2025) reveals a consistent focus on theoretical and applied German linguistics, with increasing attention to sociolinguistic phenomena such as pandemic-related neologisms and ideological word formations. Her research bridges empirical analysis, cognitive linguistics, and language teaching, often in interdisciplinary or contrastive frameworks. Reviewed works on German morphology and grammar Contributed to international projects like EuroGr@mm and ProGr@mm Participated in interdisciplinary conferences on ellipsis and language processing Advising and Grants: While no formal students are listed, her editorial and collaborative roles suggest mentorship and academic leadership. She has been involved in long-term research projects, including EuroGr@mm (2004–2012), indicating sustained grant-supported activity. Her current role at Siegen reflects ongoing institutional support for her research and teaching. Labs and Teams: She has collaborated with researchers at Justus Liebig University of Giessen, University of Szeged, and IDS-Mannheim. Her work with the Diskursmonitor research group and participation in interdisciplinary conferences highlight her integration into active research networks in German linguistics.
Novi Quadrianto is a Professor of Machine Learning at the School of Engineering and Informatics, University of Sussex, where he joined as a Lecturer in February 2014. He is currently a Principal Investigator on three active EU grants: BayesianGDPR (ERC), TANGO (EU Horizon RIA), and Act.AI (ERC Proof of Concept). He also holds an Adjunct Professor position in Data Science at Monash University, Indonesia, and serves as Strategic Lab co-Leader of the BCAM Severo Ochoa Strategic Lab on Trustworthy Machine Learning in Bilbao, Spain. His educational background includes a PhD in Machine Learning from the Australian National University (2012) and a BEng in Electrical and Electronics Engineering from Nanyang Technological University, Singapore. During his PhD, he conducted research at multiple international institutions including HIIT-Finland, Yahoo! Research-US, University of Alberta-Canada, Fraunhofer IAIS-Germany, and IST Austria. From 2012-2014, he was a Newton International Fellow of the Royal Society at the University of Cambridge. Professor Quadrianto directs the Predictive Analytics Lab (PAL) since 2017, which focuses on "Responsible AI" research developing AI models that embed fairness, accountability, transparency, and trustworthiness. His research spans algorithmic fairness, federated learning, and computer vision, with applications in sustainable development, healthcare, and finance. His work has been funded by prestigious organizations including the European Research Council, EPSRC, and HM Treasury. His publications reveal a strong focus on addressing challenges in AI fairness, robustness, and privacy, particularly in dynamic environments and heterogeneous data settings. Recent work explores performative prediction, diversity-driven learning, and efficient vision transformer inference, demonstrating his leadership in cutting-edge machine learning research. European Research Council ERC Proof of Concept Grant (2023) Guarantor Researcher for BCAM Severo Ochoa Excellence Accreditation (2023) European Lab for Learning and Intelligent Systems (ELLIS) Scholar/Fellow (2020) European Research Council ERC Starting Grant (2019) Newton International Fellowship (2012) Microsoft Research Asia Fellowship (2009) Professor Quadrianto currently supervises six PhD students and five postdoctoral researchers. He has served as Action Editor for Transactions on Machine Learning Research since 2022 and as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence since 2016. He has also been an Area Chair for major conferences including NeurIPS, ICML, and AAAI. His PAL laboratory hosts a team of 15 members focused on inter-disciplinary AI research with domain experts across various sectors. The PAL Lab operates three innovation strands: AI for Sustainable Development (supporting UN SDGs), AI for Healthcare (transforming health outcomes), and AI for Finance (personalized loan decision-making). The lab also leads initiatives in Diversity & Inclusion in AI and offers Pro-Bono Office Hours to organizations seeking guidance on machine learning aspects.
Greg Bryant is a Professor and Chair in the Department of Communication at the University of California, Los Angeles (UCLA). His research focuses on cognitive science, vocal communication, and social behavior, integrating acoustic analyses, perception experiments, and cross-cultural field studies. Key research areas include evolutionary psychology, nonverbal communication, verbal irony, music perception, and infant-directed speech. His recent publications explore volitional laughter, vocal features in social judgments, and the cultural evolution of music. Media coverage of his work highlights topics such as animal laughter, affiliation detection in colaughter, real vs. fake laughter perception, and vocal changes during ovulation. He teaches courses like the Evolution of Interpersonal Communication and Communication Theory.
Prof. dr. Enoch O. Aboh is Professor of Linguistics at the University of Amsterdam , Faculty of Humanities, Department of Literature and Linguistics. His office is located at Spuistraat 134, room 647, and he can be contacted at e.o.aboh@uva.nl . Research Interests: Prof. Aboh’s work lies at the intersection of formal syntax, language contact, and learnability. He investigates creole formation , multilingual ecologies , Gbe and Kwa syntax , cartographic approaches to clause structure , and sign language morphosyntax . A recurring theme is the emergence and evolution of grammatical systems under contact, approached through both descriptive fieldwork and formal theoretical modelling. His publications reveal a methodological breadth spanning experimental studies with kindergarteners on statistical learning, computational detection of loanwords, and fine-grained syntactic analyses of serial verb constructions, predication patterns, and determiner systems. This spectrum underscores his commitment to integrating cognitive, typological, and formal perspectives on language. Awards & Recognition: While no specific prizes are listed in the current material, Prof. Aboh’s extensive editorial and collaborative work—evidenced by numerous co-edited volumes and Festschrift contributions—attests to his standing in the field. Students & Grants: Details on PhD advisees or funded projects are not provided in the source text. Labs & Teams: No dedicated laboratory or research group names are mentioned, yet his affiliation with the Amsterdam Center for Language and Communication (ACLC) can be inferred from the institutional context.
Assoc. Prof. Dr. Ali Şükrü Özbay currently serves as an Associate Professor at Karadeniz Technical University's Faculty of Arts, Department of English Language and Literature. He earned his PhD and MA in Applied Linguistics from Karadeniz Technical University and holds a BA in English Language and Literature from Ankara University. Education : PhD (2015) and MA (2004) from Karadeniz Technical University; BA (1996) from Ankara University Dr. Özbay's research focuses on Corpus Linguistics , Learner Corpora , Academic Writing , Translation Studies , and Language Pedagogy . His work investigates lexical bundles, support verb constructions, and pragmatic markers through computational corpus analysis. Recent publications analyze four-word recurrent expressions in educational technology contexts, collocational priming in Turkish EFL learners' mental lexicon, and semantic prosody of intensifiers in academic corpora. He supervises theses on data-driven learning applications and corpus-based teaching materials. Dr. Özbay has held managerial roles including Deputy Head of Department (2019–present) and Assistant Coordinator for Erasmus+ programs (2017–2021). He actively participates in international conferences and has published in journals like Turkish Studies , Australian Journal of Applied Linguistics , and Hacettepe Eğitim Dergisi .
Adam Albright is a Professor of Linguistics at the Massachusetts Institute of Technology (MIT). His research focuses on phonology, morphology, language acquisition, and computational linguistics. Education Ph.D. in Linguistics, UCLA, 2002. Dissertation: "The identification of bases in morphological paradigms" M.A. in Linguistics, UCLA, 1998. Thesis: "Phonological subregularities in productive and unproductive inflectional classes: Evidence from Italian" B.A. in Linguistics and Religious Studies, Cornell University, 1996. Senior Thesis: "The history of stress in Welsh, and the analysis of historical change in OT" Research Interests Albright's main research projects include: Experimental testing and computational modeling of gradient phonotactic well-formedness Investigating the organization of paradigms (base selection and learning) Testing the psychological reality of morphological processes via Wug tests Understanding paradigm gaps Computational modeling of historical change Collaboration with Bruce Hayes on learning algorithms He also has interests in Yiddish and Lakhota phonology and morphology, and the history of stress in Welsh. Teaching He has taught courses at MIT and UC Santa Cruz, including: Advanced Phonology Language Acquisition Sound Change and Phonological Theory Modeling Phonological Learning Language Change Computational Morphology & Phonology Collaborations Albright collaborates with Bruce Hayes (UCLA) on computational modeling of phonological and morphological learning. Contact Email: albright@mit.edu Office: 32-D830, MIT Mailing Address: MIT Linguistics and Philosophy, 77 Massachusetts Avenue, 32-D808, Cambridge, MA 02139, USA
Prof. Sabine Schulte im Walde is an Associate Professor at the University of Stuttgart's Institute for Natural Language Processing. She holds affiliations with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), ELLIS Society, and CLARIN-D. Her research focuses on computational modeling of lexical-semantic phenomena, including compositionality of noun compounds and particle verbs, abstract/concrete semantics, and diachronic language change. She has contributed to datasets on association norms for German compounds and led projects on multimodal semantic analysis. Research Interests: Her work bridges computational linguistics and cognitive science, emphasizing data-intensive methods. Key areas include semantic classification of verbs, metaphor detection, and evaluating semantic relations using distributional models. She explores how abstractness influences plausibility judgments and investigates semantic shifts in compounds over time. Awards: Nominated for AcademiaNet by the German Research Foundation (DFG). Active in professional societies including ACL, GSCL, and DGfS. Publications span over 50 peer-reviewed articles in venues like Computational Linguistics and ACL. Labs/Teams: Leads research on computational terminology and semantic change analysis at the Stuttgart Research Focus Language and Cognition (SRF). Collaborates internationally on projects like the DURel annotation tool for diachronic semantics.
