جست‌وجوی استاد و پژوهشگر

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.

Valentin Wernerمشاهده پروفایل

استاد

• Applied Linguistics
• Learner Englishes
• Sociolinguistics
• +۷ مورد دیگر

Prof. Dr. Valentin Werner is an associate professor at the University of Bamberg , holding a chair in English Linguistics . His work bridges applied linguistics, corpus studies, and pop culture analysis, with a focus on language education and sociolinguistic variation. Expertise in learner Englishes, telecinematic language, and multimodal discourse Director of multiple DFG-funded projects including 'Young German Learner English' Recipient of Taylor & Francis Outstanding Research Monograph Award (2020) His recent research explores: Pop lyrics as pedagogical tools (2023-2024 projects) Political live blogs and hybrid news discourse (2025 publications) Country music authenticity and register analysis (2024 studies) Scientific awards include: Taylor & Francis Outstanding Research Monograph Prize (2020) Habilitationspreis by German Association for the Study of English (2022)

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.

Timo Roettgerمشاهده پروفایل

استاد

• Cognitive Science
• Speech Production
• Speech Perception
• +۹ مورد دیگر

Timo Roettger is a Professor of General Linguistics at the Department of Linguistics and Scandinavian Studies, University of Oslo, since 2022. Previously, he served as an Associate Professor (2020-2021), Postdoctoral Researcher at the University of Osnabrück (2020), Northwestern University (2018-2019), and the University of Cologne (2016-2017). His academic journey includes a PhD in Phonetics from the University of Cologne in 2016. Core research areas: Cognitive Science, Phonetics, Psycholinguistics Methodological focus: Quantitative methods, statistical modeling, open science practices Leadership role: Chair of the ManyLanguages consortium Roettger's research investigates the relationship between multi-dimensional speech signals and cognitive representations, with emphasis on predictive processing of intonation, analytic flexibility in speech research, and reproducibility. His work bridges phonetics, phonology, and cognitive science through rigorous empirical approaches. Recent publications highlight his methodological contributions to experimental linguistics and his advocacy for transparent research practices. Key projects include the ICONIC study on iconicity in spoken language. Roettger actively promotes diversification of languages, participants, and researchers in the language sciences. He employs interdisciplinary approaches combining phonetic analysis with cognitive theory to address foundational questions about speech production and perception.

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.

Merel Scholmanمشاهده پروفایل

استادیار

• Discourse Analysis
• Psycholinguistics
• Computational Linguistics
• +۳ مورد دیگر

Dr. Merel Scholman is an Assistant Professor at Utrecht University within the Department of Languages, Literature and Communication and affiliated with the Institute for Language Sciences . Her research focuses on how people use language to create meaning through discourse relations , investigating cognitive processing of coherence markers in written, spoken, and visual communication. PhD in Language Science and Technology from Saarland University (summa cum laude, 2019) Research Master in Linguistics from Utrecht University (cum laude, 2015) Visiting researcher at Lancaster University and University of Edinburgh Her work combines theoretical psycholinguistics with computational modeling , using quantitative empirical methods like corpus analysis and crowdsourcing experiments. Recent research examines cross-modal discourse signals across Nigerian Pidgin , English , and European languages , while methodological contributions explore annotation reliability and experimental design. Publications demonstrate expertise in discourse markers , coherence relations , and low-resource NLP , with applications to gesture synthesis , spoken language analysis, and educational tools . She received the Veni grant for her project on natural discourse structure signals across modalities. As an educator, she contributes to the Communication and Information Sciences (BA) and Linguistics (RMA) programs, teaching courses like Writing Style as a Choice . Her methodological innovations in crowdsourcing and annotation frameworks have shaped discourse analysis practices in computational linguistics.

• Phonology
• Variationist Linguistics
• Sociolinguistics
• +۵ مورد دیگر

Jean-Michel Tarrier is a Lecturer at the University of Toulouse 2 - Jean Jaurès , affiliated with the Cognition, Languages, Ergonomics (CLLE) laboratory's ERSS team. His career spans both teaching and research, with a focus on phonology, variationist linguistics, and sociolinguistics. Co-coordinator of the LVTI Program (Language, City, Work, Identity) since 2013 Active participant in the PFC Program (Phonology of Contemporary French) His research investigates language variation in urban contexts, particularly examining socio-phonological patterns in Toulouse French through fieldwork and corpus analysis. Key interests include phonological leveling, dialect modeling, and interdisciplinary approaches to spoken language study. Publication trends reveal consistent contributions to phonological variation in French, with particular emphasis on Urban-rural dialect contrasts Interview-based data collection Transcription system development Comparative sociophonology Language change mechanisms Identity construction through speech Current affiliations include CLLE Laboratory , where he works with the ERSS team on projects related to language structure and variation.

Celine Vaguerمشاهده پروفایل

مدرس

• French Syntax
• Lexical & Grammatical Semantics
• Discourse Analysis
• +۴ مورد دیگر

Céline Vaguer is a Lecturer at Université Toulouse - Jean Jaurès, affiliated with the Cognition, Languages, Ergonomics (CLLE) school. Her academic work focuses on French syntax, lexical & grammatical semantics, and discourse analysis. Syntactic Constructions Lexical Semantics Discourse Markers Phraseology Translation Studies Her research explores how linguistic forms interface with meaning, particularly through prepositions, adverbial phrases, and discourse markers. She has extensively analyzed expressions like en même temps and genre in spoken French, revealing their enunciative and argumentative roles. Recent publications (2022-2024) highlight her work on synonymy (vélo/bicyclette), discursive categorization (genre), and syntactic constructions. She serves as an editorial manager for journals like Langages and Langue française , contributing to academic discourse through Varia issues.

Harald Baayenمشاهده پروفایل

استاد

• Computational Linguistics
• Psycholinguistics
• Morphological Productivity
• +۷ مورد دیگر

Harald Baayen is a Professor at the University of Tübingen within its Faculty of Humanities, Department of Linguistics . His work spans computational linguistics, psycholinguistics, and phonetics, with a focus on discriminative learning models for lexical processing. After studying under Geert Booij in Amsterdam (PhD 1989), he held positions at the Max Planck Institute for Psycholinguistics (1990-1998), Radboud University (Associate Professor via Dutch Science Foundation award), and the University of Alberta (Full Professor 2007-2011). His 2011 Alexander von Humboldt Award and 2025 Honorary Doctorate from Tartu reflect his scholarly impact. Education: PhD in General Linguistics (Amsterdam, 1989) Awards: Alexander von Humboldt (2011), Dutch Science Foundation Career Advancement (1998) Teaching: Courses in Linguistics for Cognitive Science and Statistical Methods since 2011 at Tübingen Research Synthesis Baayen's research bridges computational modeling and empirical phonetics . Notable projects include: Linear Discriminative Learning (2019): A unified framework for morphological processing without morphemes Articulatory Phonetics : Using EMA and ultrasound to study dialect variation and articulation practice effects Statistical Methods : Pioneering generalized additive models and quantile regression in psycholinguistic analysis His 2025 publications explore Mandarin-English semantic differences , Ukrainian grammatical number , and deep learning alternatives to discriminative frameworks. His work consistently challenges traditional morphological theories by integrating discriminative learning with real-world phonetic data .

Mirjam Ernestusمشاهده پروفایل

استاد

• Psycholinguistics
• Speech comprehension
• Laboratory phonology
• +۵ مورد دیگر

Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.

Mark Steedmanمشاهده پروفایل

استاد

• Computational musical analysis
• Computational linguistics
• Combinatory logic
• +۶ مورد دیگر

Mark Steedman is a Professor of Cognitive Science at the School of Informatics , University of Edinburgh, and an Adjunct Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research bridges Artificial Intelligence , Cognitive Science , and Computational Linguistics , with a focus on Combinatory Categorial Grammar (CCG) , Prosody and Intonation , and Temporal Semantics . He has led the Institute for Language, Cognition, and Computation and contributed to interdisciplinary research at the Human Communications Research Center and Centre for Speech Technology Research . Research Interests : Steedman's work explores the intersection of formal grammar, computational models, and cognitive processes. He investigates how CCG parsing can enhance semantic inference, how prosodic features improve speech processing, and the role of temporal semantics in language understanding. His projects often integrate language models with entailment graphs for question answering and dialogue systems. Scientific Awards : Fellow of the American Association of Artificial Intelligence (1993) Fellow of the Royal Society of Edinburgh (2002) Fellow of the British Academy (2002) Member of Academia Europaea (2006) Best Paper Awards at ACL 2023 and AACL/IJCNLP 2023 Influential Paper Award (IFAAMAS 2017) Recent Trends in Publications : His recent work emphasizes language models for semantic inference , entailment graphs in multilingual settings, and incremental parsing for brain-language interfaces. Papers address challenges in hallucination , cross-lingual transfer , and prosody-text alignment .

Benoit Favreمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Multimodal Systems
• +۵ مورد دیگر

Benoit Favre is a Full Professor (PR, Section 27) at Aix-Marseille University and its engineering school Polytech Marseille since 2021. He leads the Data Science axis at the Laboratoire d'Informatique et Systèmes (LIS, CNRS UMR7020), encompassing research teams in NLP, machine learning, and multimodal processing. He completed his HDR (habilitation) in 2019 and serves as co-head of the multimodality group in the CNRS GdR on NLP. His research focuses on Natural Language Processing with machine learning, including semantic content analysis, multimodal system fusion, and technology evaluation in realistic applications. He teaches advanced machine learning for NLP at the Master IAAA program and organizes the ILCB Summer School. The 15 most recent publications highlight trends in Vision-Language Transformers , biomedical classification, historical domain adaptation, and cross-modal analysis. These works span from 2020 to 2024, with particular emphasis on multimodal representations, semantic parsing, and robust NLP systems. Scientific Awards : Best paper at TALN 2011 Ranked 1st in PERCOL consortium (REPERE 2013-2014) Ranked 1st in TAC 2008 and 2009 Benoit is also deeply engaged in community service, having organized major conferences like IEEE SLT 2010, SLAM 2013, and TALN 2014. He serves on scientific committees for selection of PhD grants and faculty positions. Office location: University library building (Luminy campus), second floor, office C207

Gediminas Navickasمشاهده پروفایل

مدرس

• Speech Recognition
• Speech Synthesis
• Signal Processing
• +۵ مورد دیگر

Gediminas Navickas is a Lecturer at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI) within the Faculty of Mathematics and Informatics, specializing in the Image and Signal Analysis Group. His work bridges academic research with practical applications in Lithuanian language technologies. His primary research focuses on automatic Lithuanian speech recognition, speech signal processing, speech synthesis methods and algorithms, and speech synthesis quality assessment. Navickas has made significant contributions to developing speech technologies specifically for the Lithuanian language, addressing the challenges of resource scarcity compared to more widely spoken languages. His work demonstrates strong interdisciplinary connections between computer science, linguistics, and cognitive science. Navickas's publication record reveals a consistent trajectory of innovation in speech technology, with recent work emphasizing cognitive approaches to evaluating synthetic speech, particularly examining differences in perception between blind and sighted users. His research has evolved from foundational work on neural network architectures for speech synthesis to comprehensive studies on speech corpus development and accessibility applications. He has been instrumental in major EU-funded projects including the LIEPA series (2013-present), which have developed comprehensive speech recognition and synthesis systems for Lithuanian. These projects have produced practical applications ranging from educational robots to voice-controlled mobile services and assistive technologies for the visually impaired. Member of Lithuanian Computer Society (LIKS) Council Member of IEEE organization Active participant in COST actions including UniDive and Multi3Generation Navickas regularly engages with the public through media appearances on LRT radio and television, where he explains complex speech technology concepts to general audiences. His science communication efforts demonstrate a commitment to making technical research accessible and relevant to Lithuanian society.

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +۵ مورد دیگر

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing