Tanel Alumäe is a Tenured Associate Professor of Speech Processing and Head of the Laboratory of Language Technology at Tallinn University of Technology (TalTech). He holds a PhD in Information and Communication Technology from TalTech (2006) and has conducted research at institutions like LIMSI/CNRS, Aalto University, and Raytheon BBN Technologies. His research focuses on speech processing, speaker and language recognition, and low-resource language technologies. Affiliations: Department of Software Science, School of Information Technologies, TalTech. Education: PhD in ICT (2006), MSc in Informatics (2002), Diploma in Computer & Systems Engineering (1999). Research interests include speech recognition, speaker diarization, spoken language translation, and combating DeepFake voices. He leads teams achieving top results in competitions like IARPA BABEL, NIST LRE, and Interspeech challenges. His work emphasizes open-source tools and equitable AI solutions. Key Awards: Best Student Paper at Odyssey 2024 and TSD 2018. Keeletegu Awards (2019, 2011) for contributions to Estonian language technology. Grants & Leadership: Managed the National Programme for Estonian Language Technology (2011–2017). Serves as Secretary of the Northern European Association for Language Technology (NEALT) and Area Chair for ICME, EACL, and Interspeech conferences. Labs & Teams: Directs the Laboratory of Language Technology, focusing on practical applications of speech and language technologies.
Megumi Kameyama was a Senior Research Scientist at the Artificial Intelligence Center (AIC) of SRI International. Her research focused on discourse semantics, computational models for information extraction, and mismatch resolution in machine translation. She contributed to projects like FASTUS, MIMI, and GEMINI, addressing challenges in spoken dialogue summarization and cross-lingual translation. Key projects included the NSF-funded Mismatch Resolution in Machine Translation (1996-1999), where she co-led efforts to develop logical and statistical approaches for resolving linguistic discrepancies between languages. Her work emphasized real-time systems and robust context modeling, particularly for Japanese-English translation and dialogue analysis. Dr. Kameyama maintained active involvement in software development, including MIMI for spoken dialogue extraction and FASTUS for text analysis. Her publications explored dialogue structure, context dependency, and system robustness in natural language processing. She passed away on January 23, 1999.
Seung Kyung Kim serves as an Assistant Professor (Lecturer) in the Department of Linguistics at the University of Utah, a position held continuously since July 2022. She actively teaches undergraduate courses including Language & Culture, Language Myths, Introduction to Phonetics and Phonology, and Introduction to Sociolinguistics across multiple semesters from 2023-2024, demonstrating consistent engagement in the university's academic mission within the linguistics discipline. Her research centers on psycholinguistics with specialized expertise in speech production and comprehension mechanisms, extending into second language acquisition, sociolinguistics, and phonetics. Kim investigates how social factors—particularly accent variation, emotional prosody, and ideological frameworks—impact real-time language processing through methodologies like eye-tracking and auditory-visual priming. Her work reveals critical insights into incremental processing in native and non-native speakers, especially regarding Korean case marking systems and cross-linguistic transfer effects. Analysis of Kim's publication trajectory from 2013-2024 shows evolving focus from foundational studies on emotional prosody in word recognition toward contemporary investigations of linguistic bias in veracity judgments and sociolinguistic variation. Her research consistently bridges cognitive processing with social representation, exemplified by the dual-route speech perception model integrating linguistic and social information. Recent work demonstrates methodological rigor through preregistered replication studies examining Polish-accented English comprehension. No scientific awards or major grants are documented in available records, though her scholarship appears in high-impact journals including Studies in Second Language Acquisition and The Journal of the Acoustical Society of America. While teaching records confirm active curriculum delivery across eight distinct courses with multiple sections annually, information regarding student advising, research laboratories, or collaborative teams remains unspecified in current materials.
Elvis Wagner is an Associate Professor in the Department of Teaching and Learning at Temple University's College of Education and Human Development, specializing in second language oral communicative competence and listening comprehension assessment. His research examines how L2 listeners process spontaneous spoken language versus scripted classroom materials. Research interests include: Assessment methodologies for language proficiency Bilingual/bicultural education dynamics Language comprehension and development in second language acquisition Authentic spoken text applications in testing His publication trends reveal sustained focus on language testing innovation (2020-2025), with 5 of 7 recent articles addressing L2 listening comprehension, pandemic-era testing adaptations, and technology-driven assessment tools like the Duolingo English Test. Key journals include Language Assessment Quarterly and Journal of Asia TEFL. Scientific recognition includes: International Language Testing Association's 'Best Article in Language Testing' award (2008) for 'Video Listening Tests: What are They Measuring?' Dr. Wagner actively advises TESOL and world languages students while teaching courses spanning undergraduate methods (MGSE 4427/4428) to graduate assessment (TESL 8636). His work demonstrates significant grant activity in language testing validation and pandemic-responsive assessment design, though specific grants aren't detailed in the source text. Current research addresses evolving challenges in language assessment, including AI-driven testing platforms and cross-cultural validation of listening comprehension metrics.
Janet van Hell is Professor of Psychology and Linguistics at Pennsylvania State University , where she also serves as Co-Director of the Social, Life, and Engineering Sciences Imaging Center (SLEIC) and Co-Director of the Center for Language Science . She leads the Bilingualism and Language Development (BiLD) Lab , investigating neurocognitive aspects of bilingual language use. Education: Ph.D., University of Amsterdam, 1998 Research Interests: Her work centers on bilingualism , second language acquisition , and the neurocognitive mechanisms underlying language development. Using EEG/ERP , behavioral, and linguistic techniques, her lab explores cross-language interaction, code-switching, and foreign-accented speech comprehension. The ‘brain bus’ , a mobile EEG lab, extends her research into schools and public outreach. Publications Overview: Her recent publications span bilingual phonetics , syntax processing , memory consolidation , and executive control , with a focus on EEG/ERP methodologies and experimental behavioral paradigms . Studies often involve heritage speakers , child bilinguals , and late L2 learners . Advising & Collaborations: Advises numerous PhD students and postdocs, many co-authoring papers (marked with *). Collaborates across Psychology, Linguistics, and Neuroscience departments. Leads outreach via the ‘brain bus’ for public engagement in science. Labs & Centers: BiLD Lab – Bilingualism and Language Development Lab SLEIC – Co-Director, Social, Life, and Engineering Sciences Imaging Center Center for Language Science – Co-Director
Linda J. Richards serves as the Chair of the Department of Neuroscience and Edison Professor of Neuroscience at Washington University School of Medicine. Her career spans decades of groundbreaking research in brain development, particularly focusing on interhemispheric connections of the mammalian brain. She leads the Brain Development and Disorders Laboratory, which investigates both normal brain wiring and conditions where this wiring is altered. Professor Richards earned her Bachelor of Science (Honours) from The University of Melbourne in 1990, followed by her PhD from the same institution between 1991-1994. Her educational background laid the foundation for her pioneering work in developmental neurobiology. Her research interests center on the development, plasticity, and function of long-range connections in the cerebral cortex, with particular focus on the corpus callosum - the largest fiber tract connecting the brain's hemispheres. She investigates how cellular and molecular mechanisms regulate brain wiring during development and how these processes are altered in congenital corpus callosum dysgenesis (CCD), which occurs in approximately 1 in 4,000 people. Her work explores the underlying causes of CCD, the mechanisms of long-range axonal plasticity, and how structural changes in brain wiring impact cognition and behavior. Analysis of Professor Richards' recent publications reveals a consistent focus on corpus callosum development and disorders across multiple model systems. Her work spans from basic molecular mechanisms involving transcription factors like the Nuclear Factor I (NFI) family to human clinical studies of corpus callosum disorders. She employs diverse methodologies including genetic analysis, neuroimaging, behavioral assessments, and comparative studies across mammalian species. A notable trend is her increasing focus on translating basic science findings into understanding human conditions, particularly through genetic studies of CCD patients and their families. 2020: Cajal Club, Krieg Cortical Kudos Discoverer Award, Pinckney J Harman Memorial Lecture 2019: Appointed Officer (AO) of the Order of Australia for distinguished service to medical research and education in developmental neurobiology 2016: Elected Fellow of the Australian Academy of Health and Medical Sciences 2015: Elected Fellow of the Australian Academy of Science 2017-2018: President of the Australasian Neuroscience Society 2010: Nina Kondelos Prize from the Australasian Neuroscience Society 2004: Charles Judson Herrick Award from the American Association of Anatomists Professor Richards is deeply committed to neuroscience advocacy and mentorship. She has contributed significantly to establishing major international neuroscience initiatives including the International Brain Initiative, the Australian Brain Alliance, and the Australian Brain Bee Challenge. As a board member of the International Brain Bee and member of the Dana Alliance for Brain Initiatives, she actively promotes neuroscience education and public engagement. Her lab provides training opportunities for numerous graduate students, postdoctoral fellows, and research staff who contribute to her diverse research programs. Professor Richards leads the Brain Development and Disorders Laboratory, which focuses on three primary research areas: activity-dependent mechanisms of early brain wiring, cellular and molecular mechanisms of early brain wiring (particularly involving NFI transcription factors), and human corpus callosum disorders. Her lab employs innovative approaches including studies of the fat-tailed dunnart (a marsupial model with postnatal brain development), advanced imaging techniques, and partnerships with individuals who have corpus callosum disorders to understand how brain wiring impacts cognitive, social, and emotional function.
Marco L. Della Vedova is a Senior Lecturer in Applied Artificial Intelligence at Chalmers University of Technology, Sweden. He works in the Vehicle Engineering and Autonomous Systems division within the Department of Mechanics and Maritime Sciences, as part of Prof. Mattias Wahde's research group. Since 2025, he has served as Director of the Data Science and AI master's programme (MPDSC) at Chalmers, where he teaches courses including Introduction to Artificial Intelligence and Digitalization in Sports. Dr. Della Vedova earned his academic foundation at the University of Pavia, Italy, where he completed his BSc (2006), MSc (2009), and PhD (2013) in Computer Engineering. His doctoral research focused on "Real-Time Physical Systems and Electric Load Scheduling" under Prof. Tullio Facchinetti. During his PhD studies, he spent a year at U.C. Berkeley hosted by Prof. Francesco Borrelli at the Model Based Predictive and Distributed Control Lab. His research spans multiple AI domains with a strong emphasis on interpretability. Dr. Della Vedova develops interpretable methods for conversational AI, naturalness evaluation of forests using canopy height models, and geospatial applications. His work bridges theoretical AI with practical societal benefits, particularly in environmental monitoring, transportation systems, and orienteering. He has previously contributed to cloud computing, hate speech detection, and cyber-physical energy systems, demonstrating his interdisciplinary approach to AI research. Dr. Della Vedova's publication record reveals a consistent trajectory of impactful research across multiple domains of artificial intelligence. His recent work shows a strong focus on interpretability in AI systems, with significant contributions to natural language processing, geospatial analysis, and causal inference. The research demonstrates both theoretical depth and practical applications, particularly in environmental monitoring and social media analysis. His methodology often combines traditional machine learning approaches with novel interpretability techniques, creating bridges between complex AI systems and human understanding. Dr. Della Vedova has received several prestigious recognitions for his work: Best PhD thesis award from the Order of the Engineers of Bergamo (2013) Italian champion of Il Cervellone (2012) Top Italian performer in IEEEXtreme 6.0 programming competition (148th overall globally, 2012) Premio Arturo Schena award from Fondazione Credito Valtellinese (2010) With over 50 students supervised through bachelor's and master's theses, Dr. Della Vedova has established himself as a dedicated mentor in the AI community. His current PhD students include Minerva Suvanto working on interpretable NLP and Vivien Lacorre developing AI for railway infrastructure inspection. His supervision spans diverse topics from forest naturalness evaluation to hate speech detection and transportation optimization. Beyond formal supervision, he actively contributes to educational initiatives including serving as Director of Chalmers' Data Science and AI master's program and developing innovative teaching methods that connect theoretical concepts with real-world applications. Dr. Della Vedova is deeply embedded in both academic and professional communities. He leads the Applied Artificial Intelligence research group at Chalmers while maintaining strong connections with European research networks through projects like the ERASMUS+ EUrienteering initiative. His interdisciplinary approach is reflected in collaborations across computer science, environmental science, and social sciences. Notably, he applies his AI expertise to orienteering both as a researcher developing localization methods and as a licensed Event Advisor for the International Orienteering Federation, demonstrating how his professional and personal interests converge in innovative ways.
Stuart Shieber is the James O. Welch, Jr. and Virginia B. Welch Professor of Computer Science in the School of Engineering and Applied Sciences at Harvard University. He is a prominent researcher in computational linguistics and natural language processing, with significant contributions across multiple related fields including theoretical linguistics, computer-human interaction, automated graphic design, and the philosophy of artificial intelligence. Professor Shieber's research interests focus primarily on computational linguistics, examining natural language from the perspective of computer science. His work spans scientific and engineering goals, utilizing foundational formal and mathematical tools. He has made significant contributions to grammar formalisms, psycholinguistics, semantics, and synchronous grammars with applications in machine translation and sentence compression. Beyond computational linguistics, his research extends to automatic layout of charts and maps, novel interaction techniques for document reading and diagram layout, online auction mechanisms, library book access prediction, biological evolution tree reconstruction, and the philosophical basis for Turing's test for machine intelligence. His recent publications demonstrate a continued focus on neural language models, syntactic agreement mechanisms, readability assessment, conversational understanding, and bias detection in language models. His research has evolved from traditional grammar formalisms to incorporate modern neural network approaches while maintaining a strong theoretical foundation. The trend shows increasing attention to ethical considerations in NLP, particularly around bias detection and mitigation, alongside continued theoretical work on language structure. Presidential Young Investigator award (1991) Presidential Faculty Fellow (1993) John L. Loeb Associate Professorship in Natural Sciences (1993) Harvard College Professorship (2001) Fellow of the American Association for Artificial Intelligence (2004) Fellow of the Association for Computing Machinery (2014) Fellow of the Association for Computational Linguistics (2017) Professor Shieber has advised numerous PhD students who have gone on to successful careers at institutions including UCSD, Cornell University, Microsoft Research, Google, and various academic institutions. His work on open access and scholarly communication policy, particularly his development of Harvard's open-access policies, led to his appointment as the first director of the university's Office for Scholarly Communication. He is also the founding director of the Center for Research on Computation and Society and a faculty co-director of the Berkman Center for Internet and Society. His laboratory work has focused on advancing computational linguistics through both theoretical and applied research, with numerous patents and co-founding of Cartesian Products, Inc., a high-technology research and development company. His future work appears to be focusing on the intersection of neural network approaches with traditional linguistic theory, particularly in understanding and mitigating bias in language models, while continuing his long-standing interest in the theoretical foundations of language processing.
Dr. Nadia Matringe is an Assistant Professor of Accounting at the London School of Economics and Political Science (LSE), specifically within the Department of Accounting. She specializes in the historical and theoretical dimensions of financial practices, with key expertise in Financial Accounting History, Economic Theory, and Risk-management Processes. Her research explores the epistemology and politics of accounting practices, financial decision-making in historical contexts, and the co-evolution of financial and political rationalities. Notable themes include speculation, risk, and uncertainty in early modern and modern commerce, as well as the foundational epistemic structures of financial systems. Teaching responsibilities include the course AC340: Auditing, Governance and Risk Management. Dr. Matringe’s work bridges historical analysis with contemporary financial frameworks, examining topics such as the role of accounting records in financial projections, the trajectories of financial innovations in 16th-century Lyon, and early inventory management practices in foreign exchange markets. Her interdisciplinary approach intersects economic history, financial theory, and institutional analysis. LSE affiliation includes a telephone contact (+44 (0)20 7955 6265) and office MAR 3.19. She offers academic advisory support hours on Tuesdays, 14:30–16:30. Languages spoken are English and French.
Dr. Elizabeth Johnson serves as Professor of Psychology at the University of Toronto Mississauga (UTM), holding the Canada Research Chair in Spoken Language Acquisition. She is cross-appointed to the Graduate Department of Linguistics and directs the University of Toronto's Tri-Campus Graduate Program in Psychology, leading interdisciplinary research on language acquisition through the Child Language and Speech Studies (CLASS) Lab in UTM's Communication, Culture and Technology Building. Her academic foundation includes a B.A. in Brain and Cognitive Sciences from the University of Rochester (with a Take Five program in Developmental Biology & Evolution), followed by M.A. and Ph.D. degrees in Psychological & Brain Sciences from Johns Hopkins University. She completed postdoctoral training at the Max Planck Institute for Psycholinguistics and spent semesters at MIT's Speech Group during her doctoral studies. Dr. Johnson's research examines how perceptual, cognitive, and social mechanisms enable children's rapid language mastery, with emphasis on speech perception, multilingual development, accent processing, and infant speech segmentation. Her work bridges developmental psychology, linguistics, and speech sciences to investigate topics including audio-visual speech perception, word-learning heuristics, prosody acquisition, and voice recognition—all contextualized within UTM's linguistically diverse community. Analysis of her recent publications reveals intensifying focus on real-world applications of language acquisition research, particularly voice assistant technology for children, pandemic impacts on language development, and sociolinguistic factors in educational settings. Her work increasingly explores accent variation effects across development and the cognitive mechanisms underlying talker recognition. Dr. Johnson's scientific recognition includes: Canada Research Chair in Spoken Language Acquisition She actively mentors graduate researchers: PhD Students: Emily Shroads (June and David Scott Fellowship recipient) Recent PhD Graduates: Priscilla Fung (SSHRC Postdoctoral Fellow), Madeleine Yu Undergraduate Support: NSERC USRA (Christopher Khalaf), SSHRC UTEA (Gabriella Di Maio, Alexandra Maracz) Research Funding: SSHRC Insight Grants, NSERC Discovery Grants The CLASS Lab functions as an interdisciplinary hub collaborating with UTM's Developmental Science Cluster, Centre for Biological Communication Systems, and Infant and Child Studies Centre. Its community-engaged research leverages linguistic diversity in the Greater Toronto Area to translate foundational science into practical applications for child development and educational technology.
Grzegorz Chrupała is an Associate Professor at the Department of Cognitive Science and Artificial Intelligence , Tilburg University, where he leads research in computational approaches to multimodal communication. Previously, he was a postdoctoral researcher at Saarland University's Spoken Language Systems group and earned his PhD from Dublin City University's School of Computing. His research bridges biological and artificial computation , focusing on enabling machines to learn language from multimodal data (speech, gestures, visual-auditory stimuli) as children do naturally. This involves developing and interpreting deep learning architectures, analyzing emergent representations, and advancing speech technology for under-resourced languages. Key themes include Visually grounded speech modeling Feature attribution and model interpretability Human-inspired learning paradigms BlackboxNLP workshop leadership His recent publications examine speech model reliability , lexical tone encoding , and contextual dependencies in NLP systems. He mentors a team of PhD candidates and alumni working on topics like user-centric interpretability, bioacoustics, and disentangled speech representations. He also serves on the board of the Dutch Open Speech Technology Foundation, chairs Interspeech 2025 tutorials, and contributes as an Action Editor for TACL.
Wen Xin serves as an Assistant Teaching Professor in the Department of English at the University of Kansas within the College of Liberal Arts and Sciences. Her academic profile centers on contextual language appropriateness across spoken/written contexts, regional variations, and historical periods, with emphasis on language as both an empowerment tool and mechanism for marginalization. Her research program intersects English Language Studies and Writing Studies through corpus linguistics, sociolinguistics, and text mining methodologies. She investigates pragmatic feature variation in writing classrooms to foster equitable pedagogical environments, with specialization in History of English, Digital Humanities, and Response to Student Writing. This work integrates quantitative analysis with critical language awareness frameworks to address systemic inequities in writing instruction. Publication trends reveal consistent application of diachronic corpus approaches to writing studies, examining linguistic justice in feedback practices, comparative analysis of native/nonnative English-speaking composition instructors, and historical orthographic patterns. Her scholarship demonstrates methodological rigor through mixed-methods designs that bridge historical linguistics with contemporary writing pedagogy. No scientific awards are documented in available materials. While graduate student advising details remain unspecified, her research agenda shows strong emphasis on developing data-driven writing assessment frameworks and equitable feedback systems through corpus-based investigations of classroom language practices.
Christoph Schroeder is a Professor for German as a Second and Foreign Language at the Institute for Germanistics, University of Potsdam. He serves as a corresponding member of the Institute for Migration Research and Intercultural Studies (IMIS) and has held visiting professorships at the University of Cyprus (2004) and Istanbul Bilgi University (2005). His work bridges linguistics, migration studies, and multilingual education. Education: Habilitation in Linguistics (University of Osnabrück, 2004); Promotion (PhD) in Germanistics (University of Bremen, 1995). Key Affiliations: IMIS, Center of Migration Studies (Istanbul Bilgi University), Arbeitsgebiet DaZ/DaF (University of Potsdam). Research Interests focus on language contact, contrastive linguistics, and multilingualism in schools. His work examines orthographic challenges in German-Turkish language contact, secondary predication in Turkish, and strategies for supporting students with non-German native languages through multilingual education frameworks. Notable Projects include leading the Volkswagen Foundation-funded project "Schriftspracherwerb in der Organisation Schule unter den Bedingungen von Migration und Mehrsprachigkeit" (2007-2012), which explored literacy acquisition in multilingual schools across Germany, Turkey, and Cyprus. His editorial roles include co-editing Essener Linguistische Skripte and serving on the editorial board of Language Typology and Universals (STUF) . Publications span contrastive linguistics, language typology, and migration-related educational challenges. Recent work analyzes orthographic systems in language contact scenarios, adverbial modification in Turkish, and article systems across European languages. His research often integrates sociolinguistic and typological perspectives. Professional Memberships: Association of Linguistic Typology (ALT) Deutsche Gesellschaft für Sprachwissenschaft (DGfS) Deutsche Gesellschaft für Fremdsprachenforschung (DGFF)
Susan Harkness Regli, PhD, serves as Human Factors Scientist for the University of Pennsylvania Health System and is a founder of Penn Medicine’s Center for Applied Health Informatics, driving innovation at the intersection of human factors engineering and healthcare delivery. Her research program focuses on critical healthcare challenges through: Human-Computer Interaction in clinical environments Patient safety systems design Clinical decision support optimization Healthcare applications of AI and machine learning Natural language processing for medical data Human factors in sepsis management and insulin safety Analysis of her 2009-2023 publications reveals consistent emphasis on real-world healthcare human factors, with recent work addressing sepsis diagnosis workflows, insulin pen safety protocols, and augmented reality applications. Her scholarship demonstrates methodological diversity spanning qualitative clinician interviews, heuristic evaluations, and quality improvement projects focused on error prevention in high-stakes medical environments. As co-founder of Penn Medicine’s Center for Applied Health Informatics, Dr. Regli leads strategic initiatives that bridge human factors science with clinical informatics to develop practical solutions for healthcare delivery systems, fostering collaborations between engineers, clinicians, and data scientists to enhance patient safety through technology design.
Arne Ziegler is a full Professor at the Institute of German Studies within the Faculty of Humanities at the University of Graz, Austria. His academic career spans over two decades, with current leadership of the Austrian Science Fund (FWF)-supported Special Research Programme 'German in Austria' (DiÖ), running from 2016 to 2026. He maintains active roles in international academic governance and editorial boards. Professor Ziegler's research centers on grammatical variation in Standard German , with particular emphasis on Austrian German dialects, urban sociolinguistics, and youth language phenomena. His work bridges theoretical linguistics and practical applications, examining how regional, social, and historical factors shape language structures. Key contributions include the development of the 'Variant Grammar of Standard German' – a comprehensive digital reference work documenting areal grammatical differences across German-speaking regions. Analysis of his recent publications reveals consistent focus on urban language dynamics, grammatical variation patterns, and reference grammar development. His work demonstrates methodological innovation through quantitative analysis of spoken interaction, spatial distribution mapping of linguistic features, and interdisciplinary approaches combining sociolinguistics with historical text analysis. The 'German in Austria' project represents the cornerstone of his current research, investigating language variation, contact phenomena, and speaker perception across Austria. Professor Ziegler has secured significant competitive funding including three major FWF projects: 'German in Austria' (2016-2026), 'Youth language(s) in Austria' (2013-2016), and 'Variant Grammar of Standard German' (2015-2018). These initiatives involve extensive collaboration with researchers across German-speaking countries and support large-scale empirical investigations into contemporary language use. He holds prominent leadership positions including Chair of the International Association for German Studies (IVG) since 2000, Chair of the Society for German Language History since 2008, and editorial roles for 'Technical language' (International Advisory Board) and 'Contingentia' (Editorial Board). His academic service extends to co-editing six major book series including 'Writings on the German Language in Austria' (Peter Lang) and 'Lingua Historica Germanica' (de Gruyter), significantly shaping publication venues for German linguistic research.
