جست‌وجوی استاد و پژوهشگر

Francisco Panizzaمشاهده پروفایل

استاد

• Democracy Studies
• Human Rights
• Latin American Politics
• +۳ مورد دیگر

Francisco Panizza is a Professor at the Department of Government, London School of Economics and Political Science (LSE). He holds a PhD in Politics from the University of Essex and has expertise in Democracy, Human Rights, Latin American Politics, Populism, and MERCOSUR. Previously worked at Amnesty International (1991-1995), joined LSE in 1995. On sabbatical 2022/2023. Languages spoken: English, Spanish. Education: Law degree from Universidad de la República (Uruguay), MA and PhD in Politics from University of Essex. Research focuses on political patronage in Latin America, democratic governance, populist discourses, and left-wing politics in Latin America. Key works include 'Handbook of Politicization and Political Patronage' (2025), 'Populism and the Mirror of Democracy' (2005), and studies on Argentina's and Uruguay's public administration reforms. Teaches courses such as GV245: Democracy and Democratisation, GV443: The State and Political Institutions in Latin America, and GV320: Populism. Active in comparative politics research, editing the Routledge Series 'Conceptualizing Comparative Politics.' Research emphasizes political appointments, public sector reform, and the interplay between populism and democracy. No specific scientific awards listed, but holds prominent academic standing in political science.

Rozenn Dahyotمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Digital Signal Processing
• +۴ مورد دیگر

Rozenn Dahyot is a Professor of Computer Science at Maynooth University within the Faculty of Science & Engineering. She previously held roles as Assistant and Associate Professor in Statistics at Trinity College Dublin (2008-2021) and Lecturer in Computer Science (2005-2008). Her research interests bridge Digital Signal Processing, Computer Vision, Machine Learning, and Statistical Analysis. She organized the European Signal Processing Conference (EUSIPCO2021) in Dublin and served as President of the Irish Pattern Recognition and Classification Society (IPRCS) from 2014-2020. Her work spans topics like semantic scene understanding, CNN compression, and medical image segmentation. Key contributions include advancements in graph-based image analysis, reinforcement learning optimization, and AI-driven systems for disaster management. Dahyot is a member of IEEE, ACM, and EURASIP, contributing to both academic and industrial collaborations.

• Spoken Language Processing
• Natural Language Processing (NLP)
• Paralinguistics
• +۶ مورد دیگر

Sarah Ita Levitan is an Assistant Professor in the Department of Computer Science at Hunter College, CUNY, and a member of the doctoral faculty in both Computer Science and Linguistics PhD programs at the CUNY Graduate Center. She previously served as a Postdoctoral Research Scientist at Columbia University, where she completed her PhD in Computer Science in 2019 under Dr. Julia Hirschberg. Research Focus: Spoken Language Processing Natural Language Processing Paralinguistic Analysis Trustworthiness and Deception Detection Acoustic-Procedic and Lexical Feature Extraction Online Radicalization and Misinformation Recent Publications demonstrate expertise in analyzing speech and text for trust cues, deception detection, and mental health prediction. Her awards include grants from NSF, Google, and Columbia University fellowships. She leads the Hunter Speech Lab , mentoring PhD, MS, and undergraduate students in computational linguistics research. Scientific Awards and Grants: NSF EAGER Grant (2023) Google Cyber NYC Grant (2023) NSF AI Institute Grant (2023) Air Force Office of Scientific Research Grant (2020) Brown Institute Seed Grant (2020) Knight News Innovation Fellowship (2018) Teaching: Courses include Natural Language Processing (undergraduate/graduate), Computational Linguistics, Computer Theory, and advanced topics in spoken language processing at both Hunter College and Columbia University.

Rachel Walkerمشاهده پروفایل

استاد

• Phonology
• Phonetics
• Morphology
• +۳ مورد دیگر

Rachel Walker is a Professor of Linguistics at the University of California, Santa Cruz (UCSC), affiliated with the Department of Linguistics. Her research focuses on phonology, phonetics, and their intersections with morphology and psycholinguistics, particularly exploring segmental distribution patterns, harmony systems (vowel, consonant, nasal), and the articulatory basis of complex consonants like liquids. She collaborates on documenting the phonetics/phonology of Ladin varieties spoken in the Italian Central-Eastern Alps. Key research themes include: - Long-distance consonantal interactions - Vowel harmony transparency mechanisms - Articulatory phonetics of English liquids - Theoretical phonology (Optimality Theory, Harmonic Serialism) - Language documentation (Ladin, Kinyarwanda, Menominee) Her recent work (2020-2024) emphasizes consonant phonotactics in Ladin, privileged positions in vowel harmony, and articulatory coordination in consonant clusters. Over 80 peer-reviewed publications span journals like Journal of Phonetics , Phonology , and Language , along with influential books such as Vowel Patterns in Language (2011). She holds a PhD in Linguistics and has advised graduate researchers on phonological fieldwork and theoretical analysis.

Karen Livescuمشاهده پروفایل

استاد

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

Karen Livescu is a Professor at the Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed graduate institute for computer science located on the University of Chicago campus. She also serves as a courtesy faculty member in the Department of Computer Science at the University of Chicago and is an Affiliated Scholar at the Data Science Institute there. Her research focuses on advancing speech and language processing through innovative machine learning approaches. Education: PhD in Electrical Engineering and Computer Science from MIT (2005) S.M. from MIT Department of Electrical Engineering and Computer Science (1999) A.B. in Physics from Princeton University (1996) Karen's research spans multiple dimensions of speech and language processing with particular emphasis on speech recognition, spoken language understanding, and multimodal processing. She has made significant contributions to articulatory feature-based speech recognition, self-supervised learning for speech representation, and sign language processing. Her work consistently bridges machine learning techniques with linguistic and speech science knowledge, focusing on creating more robust, interpretable, and inclusive speech processing systems that can handle diverse languages and modalities. Her recent publication trajectory reveals a strong focus on self-supervised learning for speech representation, multilingual speech processing, and sign language understanding. She has been instrumental in developing benchmark frameworks like SUPERB and ML-SUPERB that have become standard evaluation tools in the speech community. Her work increasingly addresses critical challenges in low-resource language scenarios, language disparities in speech technology, and ethical considerations in real-world deployment. Scientific Awards: Best Paper award at EMNLP 2024 for 'Towards robust speech representation learning for thousands of languages' Best Student Paper Award at ASRU 2023 Best Short Paper Award at CRAC 2021 Top system at WMT-SLT 2023 Karen has successfully advised numerous PhD students and postdoctoral researchers who have gone on to faculty positions at institutions like University of Waterloo, University of Edinburgh, and Stellenbosch University, as well as industry roles at major technology companies including Google, Meta, and NVIDIA. Her research group has secured significant funding for projects including the development of the SLUE benchmark for spoken language understanding and the SUPERB framework for evaluating self-supervised speech models. She has been actively involved in organizing workshops and symposia that bring together researchers in speech and language processing. Karen leads the Speech and Language at TTIC (SL@TTIC) research group, which maintains a strong collaborative relationship with researchers at the University of Chicago and other institutions. The group has been particularly active in advancing sign language processing through projects like ChicagoFSWild and OpenASL, while also making significant contributions to spoken language understanding and multilingual speech recognition. Her team regularly participates in community challenges and benchmarks, helping to push the field forward through open science and collaborative evaluation frameworks.

• Applied Linguistics
• Language Testing and Assessment
• Language Assessment Literacy
• +۶ مورد دیگر

Professor Luke Harding is a faculty member at the Department of Linguistics and English Language , Lancaster University , within the School of Social Sciences . His work bridges applied linguistics, language assessment, and critical discourse studies, with a focus on the ethical and societal implications of testing. Research Interests : Language testing and assessment, World Englishes and English as a Lingua Franca (ELF), second language listening and pronunciation assessment, diagnostic approaches to language evaluation, and language assessment literacy. Recent projects integrate digital technology and corpus linguistics into testing frameworks. Publications : Published extensively in Language Testing , Applied Linguistics , and Language Assessment Quarterly . Co-edited the Routledge Handbook of Language Testing (Second Edition) (2022), a key reference work in the field. Teaching : Leads modules in Language Test Construction and Evaluation , Issues in Language Testing , and Statistical Analysis for Language Testing within the university's distance MA program. Leadership : Convened the Language Testing Research Group with colleagues Tineke Brunfaut and John Pill, advancing interdisciplinary approaches to assessment.

Alexander Kollerمشاهده پروفایل

استاد

• Computational Linguistics
• Neural-Symbolic Models
• Semantic Parsing
• +۵ مورد دیگر

Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.

Kwantae Kimمشاهده پروفایل

استادیار

• Power-Efficient Analog/Mixed-Signal Integrated Circuits
• Biomedical Sensor Systems
• Neuromorphic Sensor ICs
• +۳ مورد دیگر

Kwantae Kim is an Assistant Professor at the Department of Electronics and Nanoengineering within Aalto University's School of Electrical Engineering . He leads the Tiny Systems and Circuits (TSirc) Group , focusing on power-efficient analog/mixed-signal ICs for biomedical and neuromorphic sensor systems. IEEE Senior Member (2025) Collaborates with institutions across Europe, Asia, and America Specializes in ultra-low-power AI-embedded IoT platforms His research emphasizes Tiny, Sensory, Intelligent, and Wireless IoT systems through: Development of energy-efficient IC architectures Democratizing access to advanced chip design Hardware-software co-design for edge computing Recent publications highlight innovations in: Spoken-language-understanding SoCs Temporal-sparsity-aware keyword spotting Open-source silicon frameworks Awards include: 2025 IEEE Senior Member 2023 Best Poster Award (AICAS) 2019 Samsung HumanTech Silver Award Research partnerships span: Prof. Tobi Delbruck (UZH/ETH Zurich) Prof. Hoi-Jun Yoo (KAIST) Prof. Shih-Chii Liu (UZH) Prof. Sohmyung Ha (NYU Abu Dhabi)

• Neuromorphic Engineering
• Neural Networks
• Edge Computing
• +۳ مورد دیگر

Shih-Chii Liu holds the rank of Privatdozent (Associate Professor) in the Department of Information Technology and Electrical Engineering at ETH Zürich. He is affiliated with the Institute of Neuroinformatics , a joint institute between the University of Zurich and ETH Zurich. His research focuses on neuromorphic engineering, bio-inspired neural hardware, and edge computing systems, emphasizing energy-efficient algorithms and sensor technologies. Key research areas include neuromorphic sensors for real-time data processing, sparsity-aware neural networks, and adaptive computing architectures for edge devices. His work spans applications such as speech enhancement, wearable health monitoring, and bio-inspired keyword spotting systems. He leads the Sensors Research Group, which develops neuromorphic systems integrating novel sensors, spiking neural networks, and low-power hardware accelerators. Recent projects include the DeltaKWS low-power keyword spotting IC, EFLOP computational cost metrics for spiking networks, and NeuroBench benchmarking frameworks for neuromorphic systems. His contributions emphasize bridging biological neural principles with practical engineering solutions for IoT and embedded systems. Liu teaches courses such as Neuromorphic Engineering I and collaborates on cross-disciplinary projects involving neuroprosthetics, smart wearables, and multimodal sensor fusion. His work is characterized by hardware-software co-design approaches to tackle challenges in real-time, low-latency, and energy-constrained computing environments.

Benoît Sagotمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +۷ مورد دیگر

Benoît Sagot is a Senior Researcher in Natural Language Processing and Computational Linguistics at Inria , currently holding the 2023-2024 Informatics and Digital Sciences Annual Chair at Collège de France. He directs the ALMAnaCH research team and contributes to the PRAIRIE Institute for AI research. Research Focus: His work spans neural language models, machine translation, text simplification, multimodal NLP, and lexical resource development for French and low-resource languages. He explores computational morphology, etymology, and historical linguistics, with applications in opinion mining and computational oenology. Recent Articles emphasize language model interpretability, cross-lingual transfer, and multimodal integration (speech, image). Tools & Resources: He has developed morphological lexicons (Le fff, Alexina), corpora (OSCAR, CAMEMBERT), and parsing pipelines (SxPipe). Projects: Involved in initiatives like ANR BASNUM (Furetière's dictionary digitization) and 3IA PRAIRIE (AI research). His career combines foundational work in syntactic analysis with evolving deep learning approaches.

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +۳ مورد دیگر

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.

Erik W. Willisمشاهده پروفایل

دانشیار

• Spanish Phonetics
• Spanish Phonology
• Laboratory Phonology
• +۵ مورد دیگر

Erik W. Willis is an Associate Professor in the Department of Spanish and Portuguese at Indiana University Bloomington, where he also serves as Director of Graduate Studies and Director of the Hispanic Linguistics Program. His work focuses on Spanish phonetics, phonology, and dialectal variation, particularly in Caribbean and Mexican Spanish varieties. He employs acoustic analysis and laboratory methods to study rhotic contrasts, intonational patterns, and sociolinguistic phenomena. Ph.D., University of Illinois at Urbana-Champaign (2003) M.A., Brigham Young University (1997) B.A., Brigham Young University (1994) His research spans multiple subfields including: Acoustic characterization of Spanish rhotics Intonational system analysis using Sp_ToBI Second language phonology acquisition Web-based language assessment tools Vowel system variations in Spanish dialects Contextual phonetic realizations in Caribbean Spanish Recent publications demonstrate systematic variation in coda liquids, tap-trill contrasts, and intonational patterns across Dominican, Puerto Rican, and Mexican Spanish. His work combines empirical acoustic analysis with sociolinguistic frameworks to document both phonetic realizations and their pragmatic functions in spoken language.

• World Englishes
• Corpus Linguistics
• Gender and Language
• +۷ مورد دیگر

Prof. Robert Fuchs holds the Frommann Professorship of Applied English Linguistics at the University of Bonn, leading the Chair of Bonn Applied English Linguistics (BAEL) within the Department of English, American and Celtic Studies. His research focuses on World Englishes, corpus linguistics, sociolinguistics, and the impact of artificial intelligence on linguistic analysis. He actively supervises PhD students in topics aligned with his research group's interests, emphasizing empirical work and data science. Recent research explores language change in varieties like Hong Kong English, Trinidadian prosody, and intensifier usage across cultures. Fuchs frequently presents at international conferences, including ISLE, ICAME, and Sociolinguistics Symposium, and publishes extensively in journals like World Englishes and Language and Speech . His teaching includes advanced courses on corpus linguistics and language in culture, with a focus on climate change discourse analysis. He maintains an active academic presence through ResearchGate, Academia.edu, and LinkedIn. Research Interests: Fuchs investigates sociolinguistic variation, AI applications in linguistics, and the structural features of postcolonial Englishes. His work addresses topics such as vowel mergers in Hong Kong English, lexical stress perception in Indian English, and the role of gender in language use. He also explores diachronic changes in aspects like stative progressives and the perfect-past alternation across Asian Englishes. Advising & Grants: Fuchs oversees PhD student recruitment through research associate positions and self-funded scholarships, prioritizing applicants with strong empirical and analytical skills. His funded projects include studies on pandemic discourse (DisCOVIndUK) and linguistic trends in Caribbean English. His lab, BAEL, collaborates internationally, with ongoing work on Trinidadian prosody and Northeast Indian linguistic ecology. Labs/Teams: The Bonn Applied English Linguistics (BAEL) group, part of the University of Bonn's IAAK institute, focuses on cutting-edge research in global Englishes and computational linguistics, hosting international workshops and fostering interdisciplinary collaboration.

Jim Glassمشاهده پروفایل

پژوهشگر

• Speech Processing
• Natural Language Processing
• Self-Supervised Learning
• +۳ مورد دیگر

Jim Glass is a Senior Research Scientist at the Massachusetts Institute of Technology (MIT), where he leads the Spoken Language Systems Group within the Computer Science and Artificial Intelligence Laboratory (CSAIL). He also holds an affiliation with the Harvard University Program in Speech and Hearing Bioscience and Technology. Education: S.M. in Electrical Engineering and Computer Science, MIT Ph.D. in Electrical Engineering and Computer Science, MIT His research spans speech and natural language processing, focusing on self-supervised learning for speech and language processing, cross-modal learning between audio, speech, and vision, using speech and language as biomarkers for health, and conversational interaction. He has published over 400 refereed papers and supervised more than 110 master's and doctoral theses. Scientific Awards: IEEE Fellow Fellow of the International Speech Communication Association Jim Glass serves as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence. His work is conducted in collaboration with the Spoken Language Systems Group at CSAIL, where he has been a prominent figure in advancing speech and language technologies.

Eugene Buckleyمشاهده پروفایل

دانشیار

• Formal Phonology
• Metrical Structure
• Syllable Structure
• +۹ مورد دیگر

Eugene Buckley is an Associate Professor of Linguistics at the University of Pennsylvania , affiliated with the School of Arts & Sciences and the Department of Linguistics . His research focuses on formal phonology, metrical and syllable structure, and the interplay between phonology and morphology. He also explores phonetic and functional explanations in phonological theory, the representation of spoken language categories in writing systems, and specializes in Native American (Kashaya, Alsea), Ethio-Semitic (Tigrinya), and Manam linguistics. Education: Ph.D., University of California, Berkeley (1992) Buckley has taught courses such as Phonology I/II , Writing Systems , and Structure of Kashaya . His current research centers on Kashaya, a Native American language of northern California. Contact: gene@ling.upenn.edu | Office: 330C, 3401 Walnut Street | Office Hours: By appointment.