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.
John W. Du Bois is a Professor in the Department of Linguistics at the University of California, Santa Barbara (UCSB), within the College of Letters and Science. His work focuses on the interplay between discourse, grammar, and sociocultural contexts. Specializing in dialogic syntax, he explores how linguistic structures emerge from interactional dynamics, particularly in conversational coherence and stance-taking mechanisms. His research integrates corpus linguistics, computational methods, and ethnographic approaches to study languages like Mayan and Kazakh. Key research areas include: Discourse and grammar integration Dialogic resonance and affective alignment Corpus design and analysis Ritual language and cognitive models Mayan linguistic systems Recent studies emphasize computational tools like Rezonator for dialogue coherence visualization and remote corpus development methodologies. His work bridges theoretical linguistics with applied research in language documentation and education. Du Bois has contributed to foundational texts on discourse transcription standards and maintains active involvement in the Santa Barbara Corpus of Spoken American English project. His publications span over four decades, reflecting sustained engagement with linguistic complexity across multiple levels—from micro-level syntactic interactions to macro-level sociocultural frameworks. Current projects investigate dialogic syntax in autism and the evolutionary niche of language within social interaction.
Rachel Nordlinger is a Professor of Linguistics and Director of the Research Unit for Indigenous Language at the University of Melbourne's School of Languages and Linguistics. Her research focuses on documenting and describing Australian Indigenous languages, with a particular emphasis on syntactic and morphological theory. She has conducted extensive fieldwork with communities speaking Bilinarra, Wambaya, Gudanji, Murrinhpatha, and Marri Ngarr, contributing to language preservation efforts. She holds a PhD from Stanford University and has authored influential works including A Grammar of Wambaya and co-edited volumes like The Languages and Linguistics of Australia . Nordlinger is a Fellow of the Australian Academy of Humanities (2017) and leads major grants like the ARC Centre of Excellence for Dynamics of Language (2014-2026). Her work integrates linguistic theory with community-driven language revitalization projects, emphasizing the interconnectedness of language and cultural knowledge. Key research grants include projects on polysynthetic language processing (2021-2025), Indigenous language documentation, and cross-linguistic syntactic analysis. Nordlinger collaborates with institutions such as PARADISEC and the Kanamkek-Yile Ngala Museum to preserve endangered language materials. Her interdisciplinary approach bridges formal linguistic analysis with applied community linguistics.
Yoshiko Matsumoto is the Yamato Ichihashi Professor in Japanese History and Civilization and Professor of East Asian Languages and Cultures at Stanford University, with a courtesy appointment in Linguistics. She has been a faculty member at Stanford since 1992, progressing from Assistant Professor to her current distinguished position. Matsumoto also serves as coordinator of the Japanese Language Program and has held significant administrative roles including Chair of the Department of Asian Languages (2003-2005) and Interim Chair of the Department of East Asian Languages and Cultures (2016). Matsumoto earned her Ph.D. in Linguistics from the University of California, Berkeley (1989), following M.A. degrees in Linguistics from UC Berkeley and General and Applied Linguistics from the University of Tsukuba, an M.I.A. in American Studies from the University of Tsukuba, and a B.A. in English Language & Literature from Japan Women's University. Professor Matsumoto's research focuses on linguistic pragmatics from cross-linguistic perspectives, with particular expertise in Japanese language. Her work spans structural and sociocultural aspects of language in use, including noun-modifying clause constructions, honorifics, discourse markers, and the intersection of language with gender and aging. She has pioneered research on conversational narratives of older adults, examining how ordinary framing strategies help individuals navigate difficult experiences. Her current projects explore intergenerational communication through haiku, communicative abilities of people with dementia, and noun-modifying constructions across Eurasian languages. Matsumoto's scholarship consistently bridges theoretical linguistics with practical applications for understanding human communication in diverse social contexts. Matsumoto's recent publications reveal a growing focus on practical applications of linguistic research for social benefit, particularly in intergenerational communication and dementia care. Her work increasingly integrates arts-based approaches, especially haiku poetry, to bridge generational divides and enhance communication with elderly populations. The research shows a consistent trajectory from theoretical linguistic frameworks toward applied, human-centered language studies that address real-world challenges in aging societies, with particular attention to how ordinary language practices help individuals navigate life transitions and difficult experiences. Dean's Award for Distinguished Teaching, School of Humanities and Sciences, Stanford University (2000) Richard E. Guggenhime Faculty Scholar, Stanford University (2000-2003) Violet Andrews Whittier Fellow, Stanford Humanities Center (2019-2020) Faculty Research Fellow, Michelle R. Clayman Institute for Gender Research (2014-2015) Research Fellow, Japan Foundation (2002) Internal Fellow, Stanford Humanities Center (2005-2006) Presidential Fund for Innovation in the Humanities, Stanford University (2009-2011) Professor Matsumoto has mentored numerous students through her teaching in Japanese language and linguistics courses, including specialized offerings on language and aging, points in Japanese grammar, and haiku-based communication. Her research has been supported by prestigious grants from the National Endowment for the Humanities, the Japan Foundation, and Stanford's Presidential Fund for Innovation in the Humanities. She has served on multiple editorial boards including the Journal of Pragmatics since 1992, demonstrating long-standing leadership in her field. Matsumoto has also advised students through individual studies and thesis projects in East Asian Languages and Cultures. Matsumoto leads several collaborative research initiatives including the 'Sharing Conversations' project which examines intergenerational communication through haiku, and research on communicative abilities of people with dementia. Her work often involves interdisciplinary teams spanning linguistics, gerontology, and creative arts, with fieldwork conducted in both Japan and the United States. The 'Noun-Modifying Constructions in Languages of Eurasia' project represents a major international collaboration examining linguistic structures across cultural boundaries. She also directs the 'Language, Old Age and Gender in Japan' project supported by the Stanford University/Japan Foundation, and the 'Difficult Conversations Continue: Memories of the 3.11 Disaster and Bereavement Narratives' project focused on post-disaster communication.
Kimia Zamiri Azar serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida, focusing on hardware security and verification methodologies. Her research bridges theoretical formal methods with practical security implementations in semiconductor design and testing. Her educational background includes: Ph.D. in Electrical and Computer Engineering, George Mason University (2021) Postdoctoral Research, University of Florida Dr. Azar's research spans hardware security with emphasis on system-level verification, VLSI design-for-trust, and advanced IC testing. She pioneers techniques in logic locking, secure heterogeneous integration, and IC supply chain security, developing frameworks for authenticated encryption in Systems-in-Package and runtime security monitoring. Her work integrates formal verification with innovative testing methodologies to address hardware trust challenges across the semiconductor lifecycle. Analysis of her recent publications reveals two dominant trends: (1) Application of large language models (LLMs) to hardware design tasks including high-level synthesis code generation and RTL optimization, and (2) Advancement of secure heterogeneous integration techniques for System-in-Package architectures with focus on counterfeit prevention and split-test security protocols. These directions address critical gaps in hardware trustworthiness amid increasingly complex semiconductor supply chains. Her scientific contributions have earned significant recognition: Best Paper Award at ICCAD 2019 Best Paper Award at ISVLSI 2020 Best Paper Award at ICCAD 2020 Best Paper Award at IEEE DCAS 2020 Best Paper Award at HOST 2022 Best Paper Award at DATE 2023 Dr. Azar secures substantial research funding from premier agencies including NSF, SRC, DARPA, AFRL, DoD (NG), and Microsemi. Her grants support projects spanning hardware security validation frameworks, secure heterogeneous integration, and AI-augmented verification methodologies. She actively mentors students in her research group, guiding publications in top venues like IEEE D&T, IEEE TC, and DAC while fostering industry-academic collaborations. Her work directly impacts semiconductor security standards through patented innovations and open-source verification tools. As an active IEEE and ACM member, she contributes to community advancement through conference organization (HOST, DATE), journal editorial roles, and workshop leadership on hardware security standards. Her research group collaborates with semiconductor industry leaders to translate theoretical security frameworks into practical design-for-trust methodologies for next-generation integrated circuits.
Sonit Bafna is an Associate Professor and Director of the Ph.D. Program in Architecture at the Georgia Institute of Technology's College of Design. He holds a Ph.D. from Georgia Tech (2002), an SMArchS from MIT (1993), and a professional degree in Architecture fromCEPT University (1990). His research bridges empirical studies on space-human interaction and critical architectural theory, focusing on morphology, behavior, perception, and aesthetics. Key research areas include home layout's impact on mental health (e.g., reduced depression risk in living-area-centered apartments), workplace design's role in employee wellbeing, and the relationship between spatial configuration and cognitive abilities. His work is funded by organizations like the General Services Administration and Kaiser Permanente. Bafna supervises doctoral research in morphology, design theory, and cognitive studies. Current projects include a book on imaginative reasoning in architecture and studies on hospital corridor design and film spatial analysis. His courses cover architectural theory, design analysis, and research methods. Notable contributions include interdisciplinary studies on space syntax, the therapeutic potential of domestic environments, and the visual functioning of buildings. His research emphasizes the socio-cultural dimensions of architecture and its imaginative potential beyond functionalism.
Christian Newman is an Associate Professor in the Department of Software Engineering at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). He serves as the Graduate Program Director and has expertise in software engineering methodologies, refactoring techniques, and source code analysis. His research focuses on improving code quality, developer practices, and automated documentation. Education: Newman holds a BS, MS, and Ph.D. from Kent State University. His academic background aligns with his current research in software engineering and empirical studies. Research Interests: His work emphasizes identifier naming standards, technical debt management, refactoring strategies, and code reuse. He explores how developers perceive and implement refactoring tools, as well as the role of large language models (LLMs) in programming education and code generation. Publications: Newman's recent work includes studies on identifier semantics, part-of-speech tagging for code analysis, and the performance of LLMs in introductory programming tasks. His research often combines empirical studies with tool development, such as SATDBailiff for technical debt tracking and TSDetect for test smell detection. Teaching & Advising: He teaches courses like SWEN-250 (Personal Software Engineering), SWEN-331 (Engineering Secure Software), and graduate-level thesis supervision. His courses emphasize secure development, software design principles, and team-based projects. Tools & Contributions: Newman has developed tools like srcSlice (static slicing), srcType (type resolution), and SCALAR (identifier analysis). These tools support software evolution, code comprehension, and empirical research in the field.
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.
Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.
Irena Koprinska is a prominent researcher at the University of Sydney with over 150 publications from 1996 to 2025. Her work spans multiple interdisciplinary domains with significant contributions to machine learning applications in educational technology, time series forecasting, and health informatics. She maintains strong research collaborations, particularly with Kalina Yacef (38 joint publications), Mashud Rana (26 papers), and Bryn Jeffries (22 papers), indicating leadership in her research group. Her research interests focus on practical applications of machine learning across diverse domains. In educational data mining, she has pioneered methods for predicting student performance in programming courses, analyzing syntax errors, and developing automated hint generation systems. Her work in time series forecasting has made significant contributions to solar power prediction using advanced neural network architectures. Additionally, she has applied machine learning techniques to medical domains, particularly in sleep disorder detection and analysis. The analysis of her 15 most recent publications (2022-2025) reveals a continued focus on educational technology and time series analysis, with increasing attention to interpretable methods and health applications. Her work demonstrates a consistent trajectory of applying sophisticated machine learning techniques to solve real-world problems across multiple domains, with particular emphasis on creating practical tools for education and renewable energy management. Notable Research Contributions: Development of the HINTS framework for automated programming hint generation Innovative approaches to multistep-ahead time series forecasting Applications of deep learning to sleep disorder detection Methods for predicting student performance in programming education Her publication record in top venues including Machine Learning journal, AIED, EDM, and IJCNN demonstrates significant impact in both machine learning and educational technology communities. The consistent output of high-quality research over nearly three decades indicates sustained scholarly productivity and leadership in her fields of expertise.
Mitra Bokaei Hosseini is an Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. She holds a Ph.D. in Computer Science from UTSA, an M.S. in Information Technology from K.N. Toosi University of Technology, and a B.S. in Information Technology from Qazvin Islamic Azad University. Her research focuses on legal compliance, natural language processing (NLP), privacy, and software engineering, with an emphasis on regulatory compliance frameworks, privacy policy analysis, and automated tools for policy adherence. Her work bridges NLP techniques with practical applications in software development and mobile security. Key research trends in her articles include privacy policy analysis, automated extraction of regulatory requirements, and the use of machine learning (e.g., few-shot learning, large language models) to align code with privacy policies. Her work addresses challenges in disambiguating policy ambiguities, identifying third-party entities, and ensuring compliance in mobile applications. No scientific awards are explicitly mentioned. Her advising record and grants are not detailed in the provided texts. She may be affiliated with research teams or labs focused on privacy and NLP, though specifics are not listed.
Prof. dr. Norbert Corver is a Professor of Dutch Linguistics at Utrecht University , affiliated with the Department of Languages, Literature and Communication and the Institute for Language Sciences . He chairs the Dutch Linguistics division and leads the Mind your Manner Adverbials! (MiMA) project funded by an NWO Open Competition grant (2021-2025). He was a Visiting Professor at the University of Connecticut (2019) and serves as editor of Studies in Generative Grammar . Education: PhD in Linguistics (1990, Tilburg University) Research Interests: Syntax, generative grammar, language variation, syntactic interfaces, and affective language structures Key Projects: MiMA (syntax of adverbials), AThEME (multilingualism in Europe), Syntax of Idioms (NWO-FWO collaboration), DiDDD (Dutch noun phrase diversity) Scientific Recognition: Member of Academia Europaea Current Work focuses on the syntax of adverbials through comparative Germanic studies, while his broader research explores curse expressions, numerical expressions, and dialectal variation. He maintains active collaborations across Europe and contributes to digital resources like the Taalportaal (Dutch/Frisian grammar portal).
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 .
Elena Barbieri is a Research Assistant Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine, with dual affiliation at the Mesulam Center for Cognitive Neurology and Alzheimer's Disease. Her interdisciplinary work bridges cognitive neuroscience, clinical neuropsychology, and rehabilitation medicine. Her educational trajectory includes: BS in Cognitive Science from University of Milano-Bicocca (2005) MS in Cognitive Neuroscience from University of Milano-Bicocca (2007) PhD in Cognitive Neuroscience from University of Milano-Bicocca (2012) Postgraduate Training Fellow in Clinical Neuropsychology at Northwestern University (2014) Postdoctoral Fellow in Communication Sciences and Disorders at Northwestern University (2017) Dr. Barbieri's research centers on language-brain relationships with primary focus on aphasia mechanisms and rehabilitation. She investigates both stroke-induced aphasia and Primary Progressive Aphasia (PPA), employing multimodal neuroimaging (structural/functional MRI, PET), electrophysiology (ERP), and noninvasive brain stimulation. Her work examines neural reorganization during recovery, cross-linguistic language processing patterns, and development of culturally adapted assessment tools like the Northwestern Assessment of Verbs and Sentences (NAVS) across Italian, Persian, and German populations. Current projects address TDP-43 pathology progression, virtual reality interventions, and neural mechanisms of syntactic processing in neurodegenerative conditions. Analysis of her 2021-2025 publications reveals strong emphasis on PPA neurobiology, cross-linguistic aphasia rehabilitation, and neural plasticity. Key trends include development of international consensus outcome measures (COS-PPA), investigation of disease-specific progression patterns (TDP-43 pathology), and innovative virtual interventions for dementia-related communication disorders. Her work consistently integrates clinical assessment with advanced neuroimaging to map language network reorganization. Her research excellence is recognized through: Karen Toffler Scholarship for neurodegenerative disease research (2023) Cognitive Neuroscience Society Postdoctoral Fellow Award (2018) Society for Neurobiology of Language Travel Award (2016) Dr. Barbieri serves as Associate Editor for Frontiers in Language Science and maintains active roles in ISTAART and the Academy of Aphasia. Her Mesulam Center affiliation enables collaborative research on cognitive-linguistic deficits in Alzheimer's disease and frontotemporal dementia, with particular focus on developing targeted language interventions for progressive neurodegenerative conditions.
Lingming Zhang is an Associate Professor at the Department of Computer Science, University of Illinois Urbana-Champaign, affiliated with the Grainger College of Engineering. His research focuses on the intersection of Software Engineering, Programming Languages, and Machine Learning, with a particular emphasis on automated program repair, compiler testing, and large language model (LLM) applications in software engineering. He has published over 100 papers, achieving an h-index of 50+, and holds an ACM Distinguished Member status. Research Interests: LLM-based software testing, repair, and synthesis Fuzzing of deep-learning libraries and compilers Open-source code LLMs (e.g., StarCoder2, Magicoder) with over 1M downloads Automated program repair systems (e.g., AlphaRepair, ChatRepair, Agentless) Recent Contributions: Developed TitanFuzz for coverage-guided compiler fuzzing Released Agentless , an LLM-based coding tool adopted by OpenAI and DeepSeek Proposed SWE-RL to enhance LLM reasoning via reinforcement learning Service Roles: Program Co-Chair for ASE 2025 and LLM4Code 2025 Associate Chair for OOPSLA 2024 and Area Chair for ICSE 2025/2026 Recipient of NSF CAREER Award and ACM SIGSOFT Early Career Award Lab/Teams: Develops open-source tools like UniAPR for efficient patch validation Active in releasing industry-adopted LLM-based software engineering tools
