جستجوی استاد راهنمای دانشگاهی

David Palmer is an Affiliate Associate Professor in the Department of Astronomy and Astrophysics. He is affiliated with Los Alamos National Laboratory (LANL). His research focuses on speech recognition, natural language processing, and multilingual systems, with particular emphasis on information extraction from audio and speech data. His work bridges computational linguistics and machine learning, addressing challenges in automated systems for audio comprehension and cross-language processing. Key research interests include robust information extraction from speech transcriptions, error detection in speech recognition, and multilingual processing for operational users. He has contributed to advancements in speaker identification, text preprocessing techniques, and domain adaptation in speech processing systems. His publications span over two decades, reflecting a consistent focus on improving automated systems for handling audio and text data in dynamic environments. While no specific awards or grants are listed, his extensive publication record highlights sustained contributions to the fields of speech technology and computational linguistics. His work at LANL likely involves collaborative research in applied computational sciences, though specific lab affiliations or teams are not explicitly mentioned.

• Natural Language Processing
• Speech Recognition
• Multilingual Systems
• +۳ مورد دیگر

Liadh Kelly is an Assistant Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. She supervises PhD students in applied artificial intelligence, focusing on intelligent search, ubiquitous computing, and multimodal information access. She is affiliated with the ADAPT SFI Research Centre, SFI Centre for Research Training in Foundations of Data Science, and Human Health Institute. BSc in Computer Science MSc (Research) in Computer Science PhD in Computer Science Her research explores context-sensitive retrieval and evaluation methodology in AI-driven systems. Key areas include ubiquitous computing for personal data analysis, deep learning classification for mental wellness indicators, and multimodal lifelogging integration. Recent publications focus on urban mental wellbeing classification , contextual cue analysis , and AI-driven health search systems . Articles address smart city applications , consumer health search , and cross-lingual medical retrieval . Professional roles include Doctoral Consortium Chair at ECIR 2023 and Programme Committee member for SIGIR and ICWSM conferences. She leads grants for 4-year PhD studentships with stipend and fee coverage.

• Applied Artificial Intelligence
• Intelligent Search
• Ubiquitous Computing
• +۳ مورد دیگر

Professor Simon Robinson is a faculty member in the School of Mathematics and Computer Science at Swansea University, holding a position as a Professor of Computer Science. He serves as the Head of the Future Interaction Technologies (FIT) Lab and Director of the MSc year for the EPSRC Centre for Doctoral Training in Enhancing Human Interaction and Collaboration with Data-Driven Systems. His research focuses on devices and interactions designed for emergent users in low-connectivity regions, emphasizing participatory design and co-creation with underserved communities. Current projects include the EPSRC-funded UnMute initiative, which aims to empower marginalized language speakers through spoken language technologies. Key affiliations include leadership roles in the FIT Lab and the EPSRC CDT, alongside contributions to projects like Rethinking Public Technology in a Post-COVID Era, PV Interfaces, and Scaling the Rural Enterprise. His work spans ubiquitous computing, deformable devices, and inclusive interaction design for global south communities. Research interests center on Human-Computer Interaction (HCI), with a focus on low-resource settings. Recent work addresses speech technologies for unwritten languages, trust in human-robot interactions, and sustainable self-powered interfaces. His lab explores innovations like Light-In-Light-Out (Li-Lo) displays and community-driven smart materials (PV-Pix). Professor Robinson has supervised numerous PhD students across topics including AI ethics, predictive maintenance, and human-centric NLP. He teaches modules like Introduction to HCI and contributes to the Human-Centred Big Data and AI Dissertation program. His work integrates grants from EPSRC and collaborative projects with international partners, reflecting a commitment to socially impactful technology. Labs & Teams: Director of the FIT Lab, active in the EPSRC CDT, and collaborator in interdisciplinary teams focusing on rural technology, assistive AI, and sustainable interfaces.

• Human-Computer Interaction (HCI)
• Participatory Design and Co-Creation
• Conversational User Interfaces
• +۴ مورد دیگر

Tanel Alumäe is an Associate Professor of Speech Processing at Tallinn University of Technology's School of Information Technologies, Department of Software Science. With over 15 years of academic experience, he has held various research and teaching positions at the university since 2006, progressing from Research Fellow to Tenured Associate Professor. His work focuses on speech and language technologies with a particular emphasis on Estonian language applications. PhD in Information and Communication Technology (2006), Tallinn University of Technology Research Master's Degree in Informatics (2002), Tallinn Technical University MSc studies at Tallinn Technical University (1999-2002) and Universität Erlangen-Nürnberg, Germany (1999-2000) Diploma in Computer and Systems Engineering (1994-1999), Tallinn Technical University Alumäe's research spans automatic speech recognition, speaker recognition, natural language processing, and computational linguistics with a focus on Estonian language technology. His work addresses challenges in multilingual speech processing, deep learning applications for speech technologies, and developing practical systems for real-world applications including broadcast media processing and accessibility solutions. He has made significant contributions to low-resource language processing and specialized applications for children's speech and emotion recognition. His recent publications demonstrate a strong focus on cutting-edge speech processing techniques including deepfake detection, multi-speaker systems, speech-to-speech translation, and applying large language models to speech applications. The research shows a consistent pattern of addressing both theoretical challenges in speech processing and practical implementations for Estonian language technology. Award 'Keeletegu 2019' from the Ministry of Education and Research Award 'Keeletegu 2011' from Estonian Ministry of Education and Research 3rd award at the Tallinn University of Technology contest for applied scientific projects (2011) Boris Tamm stipend (2007) First prize at the national contest of students' scientific works (2007) Ustus Agur stipend of Estonian Information Technology and Telecommunications Association (2005) Alumäe has supervised postdoctoral researchers including Rena Nemoto (2012-2015) on pronunciation modeling for speech recognition. He serves in editorial and review capacities for major journals including Nature, Computer Speech & Language, and IEEE Transactions. His administrative roles include Secretary of the Northern European Association for Language Technology Board and membership on the Department of Software Science Council at TalTech. His research group at Tallinn University of Technology actively participates in international challenges (IWSLT, Interspeech, Odyssey) and collaborates with institutions worldwide. The team has developed open-source platforms for Estonian speech transcription and created systems for automatic closed captioning of Estonian broadcasts, demonstrating strong practical applications of their research.

• Speech Processing
• Automatic Speech Recognition
• Speaker Recognition
• +۳ مورد دیگر

Dr. Jacek Kudera is a post-doctoral researcher in the Department of Phonetics at the University of Trier, coordinator of the LODinG project at the Trier Center for Digital Humanities, and adjunct faculty at WSB Merito University in Wrocław. His work bridges phonetics, Slavic linguistics, digital humanities, and forensic speech science. Education 2022 – PhD, Department of Language Science and Technology, Saarland University, Germany 2019 – MA (Linguistics), Department of Linguistics, Cognitive Science and Semiotics, Aarhus University, Denmark 2015 – Magister (Slavic Philology), Institute of Slavic Studies, University of Wrocław, Poland Research Interests His research focuses on phonetic and prosodic aspects of Slavic languages , cross-linguistic speech perception , forensic automatic speaker recognition , and human-robot interaction . He employs experimental methods such as eye-tracking, articulatory measurements (EMA), and large-scale digital corpora to investigate how speakers of closely related languages understand one another and how machines can replicate or support this process. Publication Trends Across more than 25 peer-reviewed articles (2014-2025), Kudera has consistently explored Slavic intercomprehension , speech technology evaluation , and digital humanities infrastructure . Recent work (2024-2025) targets voice cloning security , linked open data for linguistics , and mismatch conditions in forensic speaker recognition . Scientific Awards & Fellowships Visegrad Fellowship, University of Presov (2025) Erasmus+ Fellowships (Ostrava 2025, Zagreb 2014, Rijeka 2012-2013) NAWA Fellowship, Polish Academy of Sciences (2022) Nordlys Fellowship, University of Eastern Finland (2018-2019) CEEPUS & additional Central-European mobility grants (2014-2018) Projects & Funding Coordinator : “Mismatch conditions in machine speaker identification” (University of Trier Research Fund, 2024-2025) Coordinator : LODinG – Linked Open Data in the Humanities (Trier Center for Digital Humanities, ongoing) Coordinator : “Patterns: Linguistic Creativity and Variation” (Trier Center for Language and Communication, 2022-2024) Member : SFB 1102 “Information Density and Linguistic Encoding” (Saarland University, DFG, 2019-2022) Member : Digital Atlas of Dialects of Bosnia and Herzegovina (2017-2018) Member : CLARIN-PL & European Roadmap for Research Infrastructures (2014-2017) Labs & Teams He conducts research within the Phonetics Team at the University of Trier , collaborates closely with the Trier Center for Digital Humanities , and maintains affiliations with the Phonetics Group at Saarland University and the WSB Merito University in Wrocław.

• Phonetics
• Slavic Linguistics
• Speech Technology
• +۶ مورد دیگر

Susan E. Brennan is a Distinguished Professor in the Department of Psychology at Stony Brook University, with joint appointments in Computer Science and an affiliation in Linguistics. She holds a Ph.D. from Stanford University (1990) and has been a faculty member since 1990. Her research focuses on the cognitive science of language use, particularly interactive spoken dialogue, eye-tracking as a communication tool, and human-AI interaction. She is also involved in projects exploring how technology interfaces with communication, including speech and language systems. Her academic roles include serving as Director of Graduate Studies and Associate Chair in Psychology. Brennan’s work has been continuously supported by the NSF, totaling over $3.5M in grants. Notable awards include the Chancellor’s Award for Excellence in Scholarship (2003) and the Dean’s Award for Excellence in Service (2012). Research interests span the psychology of language, multimodal communication, and the neural basis of dialogue. She has published extensively on topics like common ground in conversation, coordination signals, and the role of gaze in collaborative tasks. Her lab integrates behavioral experiments, eye-tracking, and computational models to study real-world communication dynamics.

• Cognitive Science
• Psycholinguistics
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Elisa Pellegrino is a senior Post-Doc in Phonetics at the Department of Computational Linguistics , affiliated with Zeppelin University and the Digital Society Initiative of the University of Zurich . Her research focuses on voice individualization, vocal accommodation, and the role of speaker-specific information in speech temporal variability. Role: Senior Post-Doc in Phonetics University: Zeppelin University School: Faculty of Arts and Social Sciences Department: Department of Computational Linguistics Email: elisa.pellegrino@uzh.ch Research Interests: Prosody and speech rhythm in native and second language acquisition Vocal accommodation in cross-dialectal interactions Speaker individuality and forensic phonetics Age-related speech temporal variability Speech disorders and Parkinson’s disease Applications of speech technology in linguistics and education

• Phonetics
• Computational Linguistics
• Prosody
• +۷ مورد دیگر

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.

• Speech Processing
• Natural Language Processing
• Machine Learning
• +۵ مورد دیگر

Afra Alishahi is a Full Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence within the Tilburg School of Humanities and Digital Sciences. Her research focuses on computational models of human language acquisition and grounded language learning, leveraging neural models to explore how language processing and acquisition occur. She has held roles including Assistant Professor at Tilburg University (since 2011) and Postdoctoral Fellow at Saarland University (2008-2011). Her work bridges computational linguistics, cognitive science, and artificial intelligence, with contributions to understanding language learning mechanisms through models that integrate visual, auditory, and linguistic data. Education: PhD (university unspecified), with prior academic roles in Iran and Germany. Awards: CoNLL 2017 Best Paper Award, 2023 Outstanding Paper Award, NWO Aspasia Grant (2015), and NWO Natural Artificial Intelligence Grant (2015). Her research has been supported by grants such as the Dutch National Research Agenda-funded project on interpreting deep learning models for text and sound. Research Interests: Grounded language learning, interaction effects in language acquisition, and neural model interpretability. Key areas include multi-modal learning (e.g., linking speech to visual scenes), computational modeling of child language learning, and probing neural networks for linguistic knowledge. She co-organized workshops like BlackboxNLP (2018-2020) and has authored over 60 publications, including influential works on phonology encoding in neural models and gender disambiguation in machine translation. Teaching: Courses include Cognitive Models of Language Learning , Computational Linguistics , and Language, Cognition & Computation . She advises master's theses and leads projects in data science and AI. Lab/Team: Leads research on computational modeling, collaboration with interdisciplinary teams (e.g., with Grzegorz Chrupała, Afsaneh Fazly), and involvement in initiatives like the Interpreting Deep Learning Models for Text and Sound project.

• Computational Linguistics
• Language Acquisition
• Neural Models of Language
• +۵ مورد دیگر

Tetsunori Kobayashi is a Professor in the School of Fundamental Science and Engineering at Waseda University, Japan, where he has served since 1997. He is renowned for pioneering research in human–robot interaction, spoken language processing, and multimodal conversational systems, leading to over 230 refereed papers and an h-index of 35 (Google Scholar). Education: 1980 B.Eng. in Electrical Engineering, Waseda University 1982 M.Eng. and 1985 Dr.Eng. from Graduate School of Science and Engineering, Waseda University Research Interests: His work spans intelligent robotics , perceptual information processing , pattern recognition , image and audio processing , and conversational AI . He develops algorithms for real-time dialogue systems, multi-party conversation facilitation robots, and non-autoregressive speech recognition leveraging CTC and pre-trained language models. Recent Publication Trends: Since 2020 his group has advanced non-autoregressive end-to-end ASR (Mask-CTC, Intermpl, BECTRA), noise-robust attention , multi-look-ahead conversational ASR , and neural speaker diarization . They integrate BERT-style pre-training with CTC losses to accelerate inference while maintaining accuracy. Parallel work explores vision-and-language topics such as scene-graph generation, video semantic indexing, and personalized summarization for spoken news delivery. Scientific Awards: IEICE Fellow 2023 – for multi-modal multi-party conversation research IPSJ Fellow 2016 – for pioneering robot conversation studies JST Award for Academic Start-ups 2024 Best Paper Awards from IEICE, IEEE BTAS, ACM SIGGRAPH VRCAI, and several IPSJ workshop prizes Advising & Grants: He has mentored dozens of PhD and Master’s students who now lead in academia and industry. Major funded projects include JST CREST on conversational robotics, NEDO and JST-support for AI-based speech interfaces, and industry collaborations with NHK, OKI, and NEC. Labs & Teams: Kobayashi heads the Perceptual Computing Laboratory at Waseda, conducting interdisciplinary research with domestic and international partners such as MIT, ATR, and NHK Science & Technology Labs.

• Human–robot interaction
• Spoken language processing
• Image and audio processing
• +۳ مورد دیگر

Dr. Dustin Crowther is an Associate Professor in the Department of Second Language Studies at the University of Hawaii at Manoa. He holds a PhD from Michigan State University and currently serves as Director of the Center for Academic Spoken English (CASE), an initiative supporting non-native English speakers in academic oral communication. His primary research focuses on second language speech comprehensibility, global Englishes pedagogy, and listener perception dynamics. Dr. Crowther has held editorial roles for TESOL Quarterly (2019-2024) and will become Editor of the Journal of Second Language Pronunciation in 2025. Dr. Crowther's expertise includes L2 pronunciation instruction, program development in SLA, and methodological practices in second language research. He co-authored Shaping Learners' Pronunciation: Teaching the Connected Speech of North American English (2022) and co-edited Investigating World Englishes: Research Methodology and Practical Applications (2019). His research appears in top-tier journals like Applied Linguistics , Language Learning , and TESOL Quarterly . Education: PhD, Michigan State University Professional Roles: Editor ( Journal of Second Language Pronunciation ), Director (CASE), Affiliate Faculty in Linguistics His work bridges SLA research with pedagogical applications, emphasizing global Englishes' role in multilingual academic contexts. Dr. Crowther collaborates with international scholars through the CASE initiative and has developed innovative assessment methodologies for L2 speaking tasks.

• Second Language Acquisition
• L2 Pronunciation Instruction
• Global Englishes
• +۴ مورد دیگر

Susan Napier is a Professor of International Literary and Cultural Studies at Tufts University, holding the Goldthwaite Chair of Rhetoric. She specializes in modern Japanese literature, anime studies, and cultural theory. Her research explores Japanese animation (Studio Ghibli), manga, popular culture, gender representations, and trauma narratives. Napier earned her PhD from Harvard University (1984) after earlier degrees from the same institution (AB 1977, AM 1980). Education : PhD, East Asian Languages and Civilizations, Harvard University, 1984 AM, East Asian Languages and Civilizations, Harvard University, 1980 AB, East Asian Studies, Harvard University, 1977 Research Interests : Napier’s work bridges literary studies and visual culture, focusing on how Japanese animation and literature reflect societal themes like identity, technology, and trauma. She critiques global reception of anime and its role in cross-cultural dialogue. Her analysis of authors like Mishima Yukio and Oe Kenzaburo highlights existential and cultural tensions. Publications : Her 2021 article Playing in the Shadows examines postwar Japanese literature’s engagement with race, while 2018’s Miyazakiworld offers a seminal study of Studio Ghibli’s cultural significance. Recent talks include discussions on Kyoto Animation’s legacy and Miyazaki’s global impact. Professional Engagement : Napier has spoken at international conferences, including the Tokyo University Symposium on Mishima and events at Harvard and the Japan Society. She contributes to media commentary on Japanese culture (e.g., CNN’s coverage of Kyoto Animation). Teaching : She teaches courses like Disney vs. Ghibli , Cinema of Apocalypse , and The Eerie: An Exploration , reflecting her interdisciplinary approach to cultural analysis.

• Japanese Animation (Anime)
• Modern Japanese Literature
• Pop Culture Studies
• +۵ مورد دیگر

Li Nguyen is an Assistant Professor of Linguistics and Multilingual Studies at Nanyang Technological University (NTU), Singapore . Their work bridges linguistics with computational approaches, focusing on language variation, contact phenomena, and multilingual NLP. Education: PhD in Linguistics (University of Cambridge), Master’s in General and Applied Linguistics (Australian National University) Research interests include: Language variation and change in multilingual/diasporic communities Computational sociolinguistics and NLP for low-resource varieties Syntax-pragmatic interface in bicultural contexts Code-switching and heritage language documentation Recent publications highlight collaborations on Vietnamese-English and other code-switched language pairs, with a focus on NLP applications and corpus-based analysis. Their work has gained recognition through grants like the NTU Start-up Grant and Cambridge Language Sciences funding . Scientific awards: Cambridge International Scholarship, Philological Society Fieldwork Grant Li Nguyen actively collaborates on projects involving sociolinguistically informed NLP and community-driven language documentation. They have contributed to the development of the CanVEC corpus for Vietnamese-English speech research.

• Language variation and change
• Contact linguistics
• Computational sociolinguistics
• +۴ مورد دیگر

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.

• Assessment
• Bilingual/Bicultural
• Language Comprehension and Development
• +۳ مورد دیگر

Dr. Anatol Stefanowitsch is a Professor at the Institute of English Philology, Freie Universität Berlin. His work bridges corpus linguistics, cognitive linguistics, and sociolinguistic analysis, with a focus on construction grammar and language's role in societal discourse. He contributes to debates on language policy, gender marking, and digital communication, particularly through public commentary and academic publications. Linguistics (structure of modern English) Corpus Linguistics Cognitive Linguistics Construction Grammar Language Variation and Change Sociolinguistics Recent publications emphasize collocational patterns, metaphor interpretation, and motion event encoding. His research often integrates empirical methodologies with theoretical insights, challenging traditional grammatical paradigms. Key areas include the cognitive basis of language structures and their application to sociopolitical contexts.

• Corpus Linguistics
• Cognitive Linguistics
• Construction Grammar
• +۷ مورد دیگر