جست‌وجوی استاد و پژوهشگر

Simona Sbrannaمشاهده پروفایل

پژوهشگر

• Second Language Acquisition
• Prosody
• Interactional Fluency
• +۵ مورد دیگر

Simona Sbranna is a postdoctoral researcher at the Institute of Linguistics – Phonetics , University of Cologne, specializing in second language acquisition, prosody, and interactional fluency. Her work focuses on the multidimensional aspects of L2 development, including emotional and multimodal feedback signals. Education: MA in Modern Languages and Literatures (University of Salerno, 2018), PhD in Linguistics (University of Cologne, 2023). Key Research Areas: L2 prosodic competence, backchannel signals, gaze behavior, interactional fluency, and the emotional dimensions of language learning. Publications: 15+ peer-reviewed articles and book chapters examining prosody, fluency, and multimodal communication in L1 and L2 contexts. Her recent work explores the integration of quantitative metrics for assessing L2 interactional fluency, including vocal feedback and eye gaze patterns. She has developed training programs for German language learners based on her research findings. Notable awards include the IPA PhD Thesis Award (2024) and the Franco Ferrero Award (2022). She has received multiple scholarships from a.r.t.e.s., Mercator Institute, and DAAD. Simona teaches courses on second language learning theories and laboratory phonology at the University of Cologne. She collaborates with international institutions and participates in conferences like Speech Prosody and AISV. Labs & Teams: She works within the Skills and Structures in Language and Cognition research project, focusing on prosodic and interactional aspects of language acquisition.

Michael Whiteمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Generation
• Spoken Language Dialogue Systems
• +۳ مورد دیگر

Michael White is a Professor in the Department of Linguistics at The Ohio State University, specializing in computational linguistics, natural language generation, and spoken language dialogue systems. He holds a Ph.D. in Computer Science from the University of Pennsylvania and has collaborated with interdisciplinary teams in both academia and industry, including roles at CoGenTex, Inc., and visiting positions at Facebook/Meta and Australian universities. His research emphasizes controllable and ethical AI, with a focus on neural language models and their applications in healthcare and conversational systems. Education: Ph.D. in Computer Science, University of Pennsylvania. Professional Background: Former Research Fellow at the University of Edinburgh School of Informatics, and founder of CoGenTex, Inc. Collaborations include researchers in Computer Science and Linguistics at Ohio State, such as Eric Fosler-Lussier and William Schuler. Research Interests: Neural language generation controllability, ethical AI alignment, discourse processing, and conversational systems. Recent projects include developing virtual patient simulators for medical education and exploring knowledge distillation to mitigate AI-generated harm. Articles Trends: Focused on advancing neural NLG techniques, improving dialogue system safety, and leveraging large language models for domain-specific tasks (e.g., healthcare, KBQA). Recent work addresses transparency, data efficiency, and ethical implications in AI. Scientific Awards: Lumley Interdisciplinary Research Award (2023), PRE Accelerator Award. Grants: Supported by interdisciplinary initiatives such as the virtual patient project collaboration with Eric Fosler-Lussier and Laura Wagner. Advising and Grants: Mentors students in computational linguistics and leads projects funded by Ohio State’s interdisciplinary programs. Current work involves neuro-symbolic approaches for patient preparation assistants and data-efficient conversational AI. Labs/Teams: Collaborates with the Ohio State Computational Linguistics Group and industry partners. Active in organizing workshops on discourse-driven NLG and ethical AI challenges.

Andreas van Cranenburghمشاهده پروفایل

استادیار

• Computational Linguistics
• Statistical Parsing
• Computational Literary Studies
• +۳ مورد دیگر

Dr. Andreas van Cranenburgh is an Assistant Professor of Digital Humanities and Information Sciences at the University of Groningen, Faculty of Arts. His work focuses on computational linguistics, statistical parsing, and computational literary studies, with expertise in information science, language & linguistics, and artificial intelligence. He leads projects on historical text normalization, authorship attribution, and narrative analysis frameworks like the GOLEM Triple Store. His research integrates NLP techniques with literary analysis, addressing topics such as gender bias in literary prizes, coreference resolution in Dutch literature, and psycholinguistic applications in speech disorder detection. He collaborates on corpora like OpenBoek and Dutch Novels 1800-2000, advancing digital humanities infrastructure. Notable contributions include developing Dutchcoref systems for literary text processing, exploring machine learning approaches to literary quality, and advancing graph-based narrative representations. His work bridges computational methods with humanistic inquiry, impacting both academic research and cultural heritage preservation.

Laurence Meurantمشاهده پروفایل

پژوهشگر

• Sign Language Linguistics
• Contrastive Linguistics (French-LSFB)
• Corpus Linguistics
• +۳ مورد دیگر

Laurence Meurant is a Qualified Researcher at the University of Namur since 2011, leading the LSFB-Lab - the first and only research team dedicated to French Belgian Sign Language (LSFB). She has been instrumental in establishing sign language linguistics in the French-speaking Belgium region since her 2006 PhD thesis on gaze in LSFB. Her work bridges theoretical linguistics with applied research in bilingual education, serving as scientific expert for Sainte-Marie Inclusive School since 2004. Education: Doctor of Letters (2006) from University of Namur Awards: Van Goethem-Brichant Prize (2004) Beloeil Clinic Prize (2006) Namur Citizen of the Year (2012) Best Educational Book Prize (2022) Her research focuses on LSFB linguistics through corpus studies (including the first representative LSFB corpus), contrastive analysis with French, and multimodal approaches to discourse markers. She leads an 11-member interdisciplinary team working on parallel corpora development and sign language video recognition systems. Recent publications emphasize bilingual education frameworks , sign language technology , and discourse reformulation across spoken and signed modalities. Her scientific activities demonstrate continuous collaboration with educational institutions and technology developers to improve accessibility for deaf communities. As academic spokesperson for technological platforms and member of various university committees, she promotes methodological innovation in human sciences while maintaining active involvement in deaf education policy and sign language recognition .

Ian Laneمشاهده پروفایل

دانشیار

• Natural Language Processing
• Speech Recognition
• Machine Translation
• +۵ مورد دیگر

Ian Lane is an Associate Professor in the Computer Science and Engineering Department at the University of California, Santa Cruz's Baskin Engineering school, serving as Program Director for the Natural Language Processing Professional Master's Degree Program. He joined UCSC in Fall 2022 after an extensive career spanning academia and industry. His research centers on computational systems that understand spoken human language, spanning speech recognition, transcription, meaning interpretation, and contextually appropriate responses. Key research areas include: Natural Language Processing for real-world applications Conversational AI systems development Speech-to-speech translation technologies Multimodal interaction (audio-visual integration) Language technologies that learn through real-world interaction His recent publications demonstrate strong focus on hallucination detection in LLMs, tabular data understanding, explainable AI, and robust speech recognition systems. Current work emphasizes "in the wild" language technologies that adapt through user interaction. Dr. Lane has received recognition through impactful industry applications including Jibbigo (the first mobile speech translation app) and military translation systems deployed in Iraq and Afghanistan. He actively mentors students and collaborates across UCSC's Silicon Valley Campus programs including Games and Playable Media and Human-Computer Interaction. His vision includes integrating NLP with virtual environments for language learning and skill acquisition.

Alex Waibelمشاهده پروفایل

استاد

• Speech Recognition
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Alex Waibel is a Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) and Carnegie Mellon University in Pittsburgh. As head of the Interactive Systems Lab (ISL) at KIT, he pioneered groundbreaking work in language technology, including the world's first automatic simultaneous translation service for university lectures. His research focuses on speech recognition, speech processing, language translation, and neural networks, aiming to bridge global communication gaps through artificial intelligence. Waibel's innovations include the Time-Delay Neural Network (TDNN) in 1987, the JANUS spoken language translation system (1991), translation glasses (2004), and Jibbigo (2009), the first commercial mobile translation system. These technologies have been applied in humanitarian missions and international education, enabling students with limited German proficiency to access KIT's lectures via real-time translation into English, Spanish, or French. His work emphasizes neural networks' ability to emulate human cognitive processes, significantly advancing machine translation accuracy. Despite noting translation imperfections, he highlights the system's value for international and hearing-impaired students. Waibel's collaboration with Skype in 2015 further demonstrated the mass-market viability of real-time translation systems.

Jan Niehuesمشاهده پروفایل

استاد

• Machine Translation
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Jan Niehues is a Professor at the Karlsruhe Institute of Technology (KIT), working at the Institute for Anthropomatics and Robotics (IAR). He leads the "Artificial Intelligence for Language Technologies" research group, focusing on developing practical AI systems for real-time language translation and speech processing applications. His research spans Machine Translation, Natural Language Processing, and Neural Networks, with emphasis on building AI assistants that solve real-world communication problems. Niehues views translation software as a human aid rather than replacement, particularly valuable where professional translators are cost-prohibitive. His work targets everyday usability in scenarios like international conferences through real-time spoken language translation. Niehues and his team develop neural network-based systems trained on large datasets including European Union minutes and TED talks. He stresses that AI model quality directly depends on training data quality, with neural networks learning probabilistic language patterns through weighted neuron connections. His research anticipates increased value in personal communication methods as automated systems become ubiquitous.

Brenda Rappمشاهده پروفایل

استاد پژوهشی

• Cognitive Neuropsychology
• Attention
• Reading and Writing
• +۱۰ مورد دیگر

Brenda Rapp is a Research Professor at the Krieger School of Arts and Sciences , Johns Hopkins University, affiliated with the Department of Cognitive Science . Her work focuses on cognitive neuropsychology, attention, reading, and writing, particularly in the context of neurological injury and developmental disorders. Education: PhD in Cognitive Science from Johns Hopkins University. Research Interests: Brenda investigates the cognitive processes and neural substrates underlying written and spoken word production and comprehension. She examines how neural injury affects language mechanisms, using cognitive neuropsychology, fMRI, and computational modeling to study recovery and neuroplasticity in post-stroke dysgraphia and primary progressive aphasia. Publications: Brenda's recent work includes studies on transcranial stimulation, neural network reorganization, orthographic learning, and language rehabilitation. Her articles explore topics such as bilingual reading pathways, functional connectivity in aphasia, and the role of expertise in letter perception. Scientific Honors: Elected to the Society of Experimental Psychologists, recognizing her contributions to experimental psychology across cognitive, perceptual, and neuroscientific domains. Advising: She has advised PhD graduates like Kyriaki Neophytou and currently mentors students such as Angela Xu (PhD) and Ata Kolday (MA) in the Cognitive and Brain Sciences Lab.

• Language Register Processing
• Psycholinguistics
• Sentence Comprehension
• +۵ مورد دیگر

Dr. Katja Maquate is a Researcher at the Institute for German Language and Linguistics within the Faculty of Arts and Humanities at Humboldt-Universität zu Berlin. She is actively involved in the Collaborative Research Centre (CRC 1412) with a specific focus on project C03: "Real-time register comprehension in adolescent heritage speakers' languages." Her research spans multiple aspects of language processing with particular emphasis on how social context influences linguistic comprehension. Maquate's research interests center around language register processing, examining how formality levels in language interact with syntactic and semantic processing during comprehension. Her work investigates the real-time processing of register congruence effects using eye-tracking methodologies in both written and spoken language comprehension. She explores how contextual formality information rapidly impacts sentence processing, interacts with morphosyntactic knowledge, and influences verb-argument relations. Her research spans multiple methodologies including eye-tracking reading studies, Visual World Paradigm experiments, and self-paced reading tasks to investigate the cognitive mechanisms underlying register processing. Analysis of Maquate's recent publications reveals a consistent focus on the intersection of social context and linguistic processing. Her work demonstrates sophisticated experimental designs that manipulate register congruence alongside traditional linguistic variables like morphosyntactic agreement and verb-argument relations. A notable pattern is her investigation of how context effects unfold over time during sentence processing, with particular interest in whether register effects emerge rapidly or require more processing time compared to traditional linguistic constraints. Her research often compares different presentation modalities (blocked vs. mixed) to understand how comprehenders adapt to shifting social contexts. Maquate actively collaborates with researchers across multiple institutions, frequently working with Pia Knoeferle and other members of the CRC 1412. Her grant-funded research through the Collaborative Research Centre demonstrates significant funding support for her investigations into language register phenomena. While specific grant amounts aren't detailed in the available information, her multiple publications from this research program indicate substantial research support. As part of the CRC 1412 team, Maquate contributes to a larger research infrastructure examining register phenomena across different time periods, languages, modalities, and cultures. Her work represents an important component of this comprehensive investigation into how social context shapes language use and comprehension.

Jessie Rickettsمشاهده پروفایل

استاد

• Reading Development
• Spoken Language Acquisition
• Educational Psychology
• +۳ مورد دیگر

Jessie Ricketts is a Professor in the Department of Psychology at Royal Holloway, University of London. She leads the Language and Reading Acquisition (LARA) research lab, focusing on reading and spoken language development in children and adolescents. Current research emphasizes theory- and policy-driven questions Collaborates extensively with educators and non-academic partners Her work combines longitudinal and experimental methodologies to explore how language skills impact real-world learning. Recent projects include investigating dyslexia in adults, sleep's effect on adolescent cognition, and pandemic-related educational disruptions. She serves as a Subject Matter Expert for the Department for Education's teacher training initiatives and mentors doctoral researchers.

Pushpak Bhattacharyyaمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۶ مورد دیگر

Pushpak Bhattacharyya is a distinguished Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Bombay. He holds the prestigious title of Abdul Kalam National Fellow and is a Fellow of the National Academy of Engineering (FNAE). His academic leadership extends to roles such as Professor Incharge of the IIT Bombay-Monash Australia Academy and Chairman of the MEITY Committee for Indian Language Standards. Professor Bhattacharyya's research spans multiple domains within computational linguistics and artificial intelligence. His work focuses on Natural Language Processing, Computational Linguistics, Machine Learning, Sarcasm Detection, Sentiment Analysis, Multilingual Processing, and Cognitive NLP. He has made significant contributions to Indian language technology, leading NITI Aayog's initiative on creating an Indian Language NLP stack and Virtual Agents. His recent publications reveal a strong focus on multilingual NLP for Indian languages, bias detection in language models, sarcasm and humblebragging detection, mental health applications of NLP, and code generation. His work bridges theoretical advances with practical applications in education, healthcare, and government services. The research demonstrates increasing integration of cognitive aspects with traditional NLP approaches and a growing emphasis on ethical AI considerations like bias detection and cultural competence. FNAE (Fellow of National Academy of Engineering) Abdul Kalam National Fellow Listed among top 10 Machine Learning Researchers in India Listed among most prolific NLP-ML researchers 2012-17 Professor Bhattacharyya has mentored numerous PhD and Masters students who have gone on to make significant contributions in academia and industry. His research has been supported by various grants from government agencies and industry partners, enabling large-scale projects in Indian language technology and NLP. He has led the development of comprehensive NLP resources for Indian languages and has been instrumental in establishing research collaborations between IIT Bombay and international institutions. He leads a vibrant research group at IIT Bombay focused on Natural Language Processing, with active projects in sarcasm detection, multilingual processing, cognitive NLP, and applications of NLP in healthcare and education. His team has developed several notable systems including those for Indian language translation, sarcasm detection, and mental health analysis through text.

Tianmin Shuمشاهده پروفایل

استادیار

• Machine Social Intelligence
• Embodied AI
• Human-Robot Interaction
• +۷ مورد دیگر

Tianmin Shu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Cognitive Science. He directs the Social Cognitive AI (SCAI) Lab and is a member of the Data Science and AI Institute. Dr. Shu's educational background includes: PhD in Statistics, University of California, Los Angeles (2019) BS in Electronic Engineering, Fudan University (2014) Dr. Shu's research pioneers machine social intelligence to build human-centered AI systems. His work integrates: Embodied AI for physical-world human-robot collaboration Neurosymbolic methods for multimodal social reasoning Computational models of human social cognition Theory of Mind frameworks for mental state inference Continual learning for adaptive social agents Recent publications (2024-2025) reveal three dominant research thrusts: (1) Multimodal Theory of Mind systems like MMToM-QA for mental state reasoning, (2) Embodied assistance frameworks such as GOMA for goal-oriented human-robot alignment, and (3) Human feedback learning methods including pragmatic feature preferences. His work increasingly bridges language models with world models while exploring neural correlates of social cognition through fMRI studies. Dr. Shu's scientific contributions have been recognized with prestigious awards: Cognitive Science Society’s 2017 Computational Modeling Prize 2020 NeurIPS Best Paper Award (Cooperative AI Workshop) 2022 IROS Workshop Excellent Paper Award 2024 ACL Outstanding Paper Award (MMToM-QA) As director of the SCAI Lab, Dr. Shu leads research on socially intelligent systems through open-source platforms including VirtualHome 2 (multi-agent household simulator) and SimWorld (photorealistic interaction simulator). His lab develops computational frameworks that enable machines to perceive social dynamics, infer intentions, and provide context-aware assistance in complex environments.

Eleanor Chodroffمشاهده پروفایل

استادیار

• Phonetics–Phonology Interface
• Cross-Talker Phonetic Variation
• Speech Prosody
• +۴ مورد دیگر

Eleanor Chodroff is an SNF Assistant Professor in the Department of Computational Linguistics at the University of Zürich . She leads the Phonetics and Cognitive Science Lab (PaCSci Lab) within the broader Phonetics & Speech Sciences Group . Her research spans the phonetics–phonology interface , cross-talker and cross-linguistic phonetic variation , speech prosody , and morphophonology . A central theme involves leveraging large spoken corpora to advance linguistic theory, with applications in speech recognition and phonetic analysis . Former roles include Lecturer in Phonetics and Phonology at the University of York and postdoctoral researcher in the Prosody & Speech Dynamics Lab at Northwestern University . She holds a PhD in Cognitive Science from Johns Hopkins University and a BA in German and Linguistics from New York University . Recent collaborative projects include the CorpusPhon workshop (co-organized with Morgan Sonderegger), computational studies on temporal anticipation in speech , and methodological investigations of speaker heterogeneity in datasets like Common Voice. Her work intersects acoustic phonetics with machine learning frameworks, particularly in low-resource language contexts.

Srikanth Madikeriمشاهده پروفایل

مدرس

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

Dr. Srikanth Madikeri is a Lecturer and Senior Researcher at the University of Zurich's Department of Computational Linguistics. He holds a Ph.D. in Computer Science from IIT Madras (2013) and a Bachelor of Engineering from Anna University (2008). Before joining UZH, he spent 11 years at Idiap Research Institute as a Postdoctoral Researcher and Research Associate. His research focuses on low-resource speech technologies, including Automatic Speech Recognition (ASR), Speaker Diarization, Language Recognition, and Spoken Dialog Systems. He specializes in adapting models for challenging domains like air traffic control and criminal investigations. Recent publications demonstrate strong trends in multimodal systems, domain adaptation for ASR, and efficient data selection techniques. His work frequently integrates speech processing with NLP tasks and criminal network analysis. Awards: Best Paper Award in Signal Processing Track (NCC 2011) International Create Challenge 2017 Winner He teaches Speech Technology and Machine Learning for Computational Linguistics at UZH. Professional activities include serving as Area Chair for Interspeech (2021-2022) and developing open-source toolkits like pkwrap for LF-MMI training.

• Language and Communication
• Prosody and Speech Analysis
• Text Structure Analysis
• +۶ مورد دیگر

Hanny den Ouden serves as an Assistant Professor in the Language and Communication section of the Department of Languages, Literature and Communication at Utrecht University's Faculty of Humanities. She is actively involved in teaching undergraduate and graduate programs including Communication and Information Sciences (BA), Communication and Organization (MA), Dutch Language and Culture (BA), and Language and Cultural Studies (BA). Her office is located in the Transcomplex building at Utrecht University. Dr. den Ouden's research spans multiple dimensions of language and communication, with particular expertise in prosody analysis, text structure, and the application of linguistic principles to advertising, social media, and health contexts. Her work demonstrates a sophisticated understanding of how language functions in various communicative situations, from traditional advertising to digital customer interactions. She has made significant contributions to understanding conversational human voice in webcare, emotional responses to advertising, and narrative techniques in health communication. Her publication record reveals a clear progression from foundational linguistic research to increasingly applied communication studies. Early work focused on prosodic realization of text structure and discourse analysis, while more recent publications address practical applications in social media management, webcare interactions, and health communication. This trajectory reflects both theoretical depth and practical relevance across multiple communication domains. As a dedicated educator, Dr. den Ouden teaches courses including Communication and organizations: theory and practice, Corpora and tools in Dutch studies, Introduction to language and communication, and Patient communication. Her teaching appears closely aligned with her research interests, creating a cohesive academic profile that bridges theory and practice in language and communication studies.