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Zoran CvetkovicView profile

Professor

• Digital Signal Processing
• Wavelets
• Time-Frequency Analysis
• +9 more

Professor Zoran Cvetkovic is currently based at the Faculty of Natural, Mathematical & Engineering Sciences at King's College London , where he serves as Professor of Digital Signal Processing and Deputy Head of Department (Research) . He is affiliated with the Centre for Telecommunications Research , Engineering Security Hub , and Music Computing Lab . Education: PhD (University of California, Berkeley, 1995), MPhil (Columbia University, 1998), MSc (University of Belgrade, 1992), BSc (University of Belgrade, 1989) Previous Positions: Principal Member of Technical Staff at AT&T Labs (1997-2022), Research Fellow at Harvard University (2002-2003), Research Associate at EPFL (1996-1997) and UCSF (1994), Research/Teaching Assistant at University of Belgrade (1989-1992) Professor Cvetkovic's research spans signal processing theory , wavelets , time-frequency analysis , and their applications in neurophysiology , audio/spoken language technology , and biomedical systems . His recent work focuses on immersive audio technology , real-time acoustic simulation , superdirective beamforming , and multimodal speech recognition . With over 146 research outputs, his publications demonstrate expertise in machine learning for speech processing , acoustic environments , and information theory . His academic activities include organizing IEEE conferences , editorial roles at IEEE Transactions on Signal Processing , and collaborations with institutions like Stanford University , University of California, Berkeley , and SRI International . He supervises 7 research projects totaling over £3.5 million in funding from EPSRC , Leverhulme Trust , and Royal Academy of Engineering . His work contributes to UN Sustainable Development Goals related to education and technological innovation .

Mark PittView profile

Associate Professor

• Cognitive Psychology
• Speech Perception
• Computational Cognitive Modeling
• +4 more

Dr. Mark Pitt is an Associate Professor and Associate Chair of Cognitive Psychology at The Ohio State University's Department of Psychology within the College of Arts and Sciences. He holds a PhD from Yale University (1989), an MS from Yale (1987), and a BA in Psychology from UCLA (1984, cum laude). His research focuses on two primary areas: Spoken Language Understanding (e.g., mechanisms of speech perception and the Buckeye Speech Corpus) and Computational Cognitive Modeling (e.g., Bayesian optimization, adaptive design methods). He collaborates extensively with Emeritus Professor Jay Myung on optimizing experimental designs and statistical inference techniques. Key awards include the Distinguished Professor title (2019), the Joan N. Huber Faculty Fellowship (2007), and the Hatcher Memorial Award (2004). His work spans interdisciplinary applications, from neuroscience to materials science. The Language Perception Laboratory under his leadership advances studies on auditory attention and speech processing. Recent publications emphasize Bayesian methods in decision-making, risk assessment, and optimizing experimental protocols. Education : Yale University (PhD 1989, MS 1987), UCLA (BA 1984). Affiliations : Ohio State's Department of Psychology, Language Perception Lab. Grants/Support : Extensive funding history via fellowships and collaborative grants.

• Speech Processing
• Natural Language Processing
• Machine Learning
• +3 more

Murat Saraçlar is a full professor at the Electrical and Electronic Engineering Department of Boğaziçi University. He holds a B.S. from Bilkent University (1994), and M.S.E. and Ph.D. degrees from Johns Hopkins University (1997, 2001). Before joining Boğaziçi in 2005, he worked at AT&T Labs Research (2000–2005). He has held visiting positions at Google (2011–2012) and IBM T.J. Watson Research Center (2012–2013). Affiliations: Editorial roles include IEEE Transactions on Audio, Speech, and Language Processing (Senior Area Editor), and Computer Speech & Language (Editorial Board). Research Interests: Speech Processing, Natural Language Processing, Machine Learning, and Artificial Intelligence. His work focuses on speech recognition, keyword search, and medical signal analysis. Over 100 publications span journals like IEEE/ACM Transactions on Audio, Speech, and Language Processing. Awards include TÜBA-GEBİP Young Scientist Award (2009) and IBM Faculty Award (2010). Recent articles emphasize multimodal systems, unsupervised learning, and medical diagnostics. His contributions bridge theoretical advancements with practical applications in healthcare and communication systems.

• Neurodegenerative Disorders
• Memory Disorders
• Cognitive Disorders
• +3 more

Siddharth Khasnavis, MD, is an Assistant Professor of Psychiatry at the Yale School of Medicine, specializing in neurodegenerative and memory disorders. His clinical focus includes diagnosis and management of cognitive and neuropsychiatric disorders. He holds dual fellowships in Behavioral Neurology/Neuropsychiatry (Yale Neurology) and Quality Improvement (West Haven VA Psychiatry). Dr. Khasnavis earned his MD from Albany Medical College, with prior degrees in Biological Engineering (BS, Cornell University) and Biomedical Engineering (MSE, Cornell University). His research emphasizes neurodegenerative disorders and innovative treatment strategies, with a particular interest in translational approaches linking cognitive neuroscience to clinical practice. He has developed educational curricula for psychiatric residents, including a digital psychiatry program and self-guided cognitive evaluation training. Collaborators include experts in geriatric psychiatry, neuroimaging, and clinical pharmacology. Languages spoken: English, Bengali, Hindi. Clinical sites include Yale Outpatient Care Center and VA Connecticut Healthcare System.

Ben WymoreView profile

Assistant Clinical Professor

• Machine Learning
• Speech Recognition Systems
• Embedded Systems
• +3 more

Ben Wymore is a Clinical Assistant Professor of Computer Science at Yeshiva University. His professional career includes roles at Intel Corporation, where he contributed to speech recognition and natural grammars for residential productivity applications, and at Crestron Electronics, where he led software development for touchpanels and mobile applications. Wymore holds patents in speech recognition, electronic program guides, and tactile sensory surfaces. His research interests span machine learning, speech interfaces, embedded systems, and residential technologies. Education: BA in Mathematics-Computer Science Interdisciplinary and MS in Computer Science. His industry contributions include innovations in user interface design, multimodal input systems, and embedded hardware-software integration. Wymore’s work bridges academic research and practical applications in consumer technology and enterprise software solutions.

Andrej KibrikView profile

Professor

• Linguistic diversity
• Athabaskan languages
• Corpus linguistics
• +9 more

Andrej Kibrik is a Professor at the Department of Theoretical and Applied Linguistics within the Philological Faculty of Moscow State University. He also serves as Head of the Center for Cognitive Studies at Moscow State University and Head of the Department of Typology and Areal Linguistics at the Institute of Linguistics, Russian Academy of Sciences, demonstrating significant leadership in Russian linguistics. His educational background includes: M.A. from Moscow State University, Philological Faculty, Department of Linguistics (1984) Ph.D. (Candidate of Science) from the Institute of Linguistics, Academy of Sciences (1988) Doctor of Science from the Institute of Linguistics, Russian Academy of Sciences (2003) Professor Kibrik's research spans multiple domains of linguistics with a focus on linguistic diversity, discourse analysis, and language cognition. His work encompasses both theoretical and applied aspects of language study, with particular emphasis on Athabaskan languages, corpus linguistics, and multimodal communication. His research integrates cognitive, typological, and discourse perspectives to understand language structure and use across diverse linguistic contexts, including endangered languages of Russia and indigenous languages of North America. His publication record shows a consistent focus on discourse structure, linguistic typology, and cognitive approaches to language. Over time, his work has expanded from traditional linguistic analysis to incorporate multimodal aspects of communication, including prosody, gestures, and sign language. His research demonstrates strong interdisciplinary connections between linguistics, cognitive science, and computational modeling, with significant contributions to the documentation of endangered languages. His notable awards include: Russian Science Support Foundation Award in the 'Doctor of Science' category (2008-2010) Alexander von Humboldt Foundation Scholarships (2000, 2006) Fulbright program scholarship (1995) President's scholarship for outstanding young scholars (1994) IREX scholarship (1991) Professor Kibrik has served as Editor-in-Chief of the Encyclopedia 'Languages of the World' and was President of the Interregional Association for Cognitive Studies (2012-2014). He coordinates linguistics research for the Russian Foundation for Basic Research. His editorial service includes Frontiers in Cognition, Kognitivnye issledovanija, Typological Studies in Language, Studies in Language, and Cognitive Linguistics, reflecting his international standing in the field. He leads the Center for Cognitive Studies at Moscow State University and has extensive experience researching numerous language families including Athabaskan, Daghestanian, Turkic, Kartvelian, and Atlantic languages. His work spans both spoken and signed languages, with significant contributions to the documentation and analysis of endangered languages through fieldwork spanning over three decades.

Falk ScholerView profile

Professor

• Information Access and Retrieval
• Fairness and Ethics of AI Systems
• Search Engine Evaluation
• +5 more

Professor Falk Scholer is a Professor of Information Access and Retrieval Technologies in the School of Computing Technologies at RMIT University, Melbourne, Australia. He leads the RMIT University Centre for Human-AI Information Environments (CHAI). His research focuses on understanding how search engines and recommender systems assist users in resolving information needs and measuring their effectiveness. His work emphasizes fairness, accountability, and human-centered computing. Research interests include interactive information access, evaluation methodologies, misinformation, and the ethical implications of AI systems. His projects span topics like bias mitigation in conversational search, physiological data analysis for user behavior, and generative AI adaptation for diverse scenarios. He collaborates on industry projects, such as enhancing job search systems with SEEK, improving query performance prediction, and developing fact-checking tools. His teaching interests include Data Science, Web Programming, and Research Methods. He actively supervises PhD and Master’s students in areas like fairness-aware systems and complex answer retrieval. Professor Scholer serves on committees including RMIT’s Academic Board and Human Research Ethics Committee. His research has been recognized through high-impact publications and partnerships addressing real-world challenges in search and information systems.

Fangju WangView profile

Professor

• Machine Learning
• Artificial Intelligence
• Intelligent Systems
• +7 more

Fangju Wang is a retired Professor with expertise in artificial intelligence, machine learning, and intelligent systems. His research focuses on applying partially observable Markov decision processes (POMDP) and reinforcement learning to develop efficient algorithms for intelligent tutoring systems (ITS), emphasizing computing cost reduction and uncertainty management. He has contributed to interdisciplinary computational science education through collaborative academic program development. Key research interests include algorithm optimization, policy tree efficiency, Bellman equation solutions in POMDP frameworks, and adaptive teaching strategies in educational technology. His work bridges theoretical advancements with practical applications in speech recognition and user behavior modeling in dialogue systems. No academic awards, grants, or advising roles are explicitly documented in the provided materials. His publications span conferences like CSEDU and journals such as International Journal of Information and Education Technology, focusing on computational methods in education and AI.

Dorit RavidView profile

Professor

• Psychology of language
• Psycholinguistics
• Linguistic psychology

Dorit Ravid is a Full Professor at the School of Education and Department of Communications Disorders, Tel Aviv University, specializing in psycholinguistics and language acquisition. Her career spans over two decades, with positions ranging from Lecturer (1994-1997) to Tenured Senior Lecturer (1998), Associate Professor (2003), and Full Professor (2007). Research Focus : Language acquisition in adolescents and adults, Hebrew morphology, cross-linguistic studies, written language development, and literacy acquisition in typical and disordered populations. Key Contributions : Pioneering work on Hebrew's morphological complexity, cross-linguistic analysis, and a comprehensive model for linguistic literacy development. Publications & Collaborations : Authored/Co-authored studies on Hebrew spelling, discourse structures, and Arabic plural acquisition. Collaborated with international institutions in Belgium, Wales, and Denmark, including the ESRC Centre for Research on Bilingualism. Awards : International Francqui Chair in the Humanities (2005) Visiting Researcher award, University of Bangor (2008) Leadership Roles : Chair of the Israeli Organization for Literacy and Language (SCRIPT) (2005-2009), Executive Committee member of IASCL (1999-2005), and editorial board member for journals like Reading and Writing and Annals of Dyslexia .

Andrej A. KibrikView profile

Professor

• Linguistic diversity
• Field linguistics
• Language and cognition
• +15 more

Andrej A. Kibrik is Professor at the Department of Theoretical and Applied Linguistics of Lomonosov Moscow State University’s Philological Faculty, and concurrently serves as Director of the Institute of Linguistics and Head of the Department of Typology and Areal Linguistics at the Russian Academy of Sciences. A Corresponding Member of the Russian Academy of Sciences and member of Academia Europaea , he has held visiting appointments at the Max Planck Institute for Evolutionary Anthropology, University of Alaska Fairbanks, University of Oregon, University of Arizona, and UC Santa Barbara. Education 1979–1984: M.A. in Linguistics, Moscow State University, Philological Faculty 1984–1988: Ph.D. (Candidate of Science), Institute of Linguistics, Academy of Sciences of the USSR 2003: Doctor of Science dissertation, Institute of Linguistics, Russian Academy of Sciences Research Interests His work integrates linguistic diversity , field linguistics , and language & cognition through a functional-typological lens. Core themes include discourse structure , multimodality (prosody, gesture, sign language), corpus linguistics , and computational modeling . Empirically, he focuses on Athabaskan languages (especially Upper Kuskokwim), Caucasian , Turkic , West African , and Russian sign language , producing comprehensive grammatical descriptions and developing theoretical frameworks for non-discrete cognitive structures. Publications Trend Recent monographs and edited volumes (2009–2017) cluster around discourse analysis , corpus construction , and language documentation , with notable works on Ninilchik Russian and spoken-Russian corpora, reflecting an enduring commitment to combining empirical richness with cognitive-theoretical depth. Scientific Awards & Honors Russian Science Support Foundation Award (2008–2010) Alexander von Humboldt Foundation Scholarships (2000, 2006) Fulbright Scholarships (1995, 1996–1997) President’s Scholarship for Outstanding Young Scholars (1994) IREX Scholarships (1991, 1991–1992) Advising, Grants & Leadership He has supervised numerous MA and PhD students, including Ekaterina Èl’bert and Natalia Molchanova, whose diploma theses advanced his multimodal discourse experiments. Since 2011 he coordinates linguistics projects for the Russian Foundation for Basic Research . He served as President of the Interregional Association for Cognitive Studies (2012–2014) and is Editor-in-Chief of the longitudinal Encyclopedia “Languages of the World” . Laboratories & Teams At Moscow State University he heads the Center for Cognitive Studies within the Philological Faculty, fostering interdisciplinary research combining linguistics, psychology, and computational modeling.

• Spoken Language Development
• Written Language Development
• School-Based Practices in Speech-Language Pathology
• +3 more

Dr. Shannon Hall-Mills is an Assistant Professor and Graduate Program Coordinator at Florida State University’s School of Communication Science and Disorders, with an affiliation to the Florida Center for Reading Research (FCRR). She leads the SPEAR Lab, focusing on school-age language, literacy, and speech-language pathology practices. Her research emphasizes improving assessment accuracy and intervention efficacy for children with communication disorders, alongside studying educational policy impacts on clinical practices. Dr. Hall-Mills holds BS, MS, and PhD degrees in Speech-Language Pathology and Communication Science from FSU. Her research interests span language-literacy disorders, evidence-based school practices, and policy evaluation. Notable grants include leadership in a $1.2 million personnel preparation grant for high-need populations and a $2.8 million USAID-funded Ethiopia education project. Awards include multiple teaching accolades and recognition for research contributions. Dr. Hall-Mills teaches graduate courses on communication disorders and has served as President of the Florida Association of Speech-Language Pathologists and Audiologists. Her work bridges clinical practice and academic research, with a focus on translational outcomes for children’s language and literacy development.

Ira GawlitzekView profile

Senior Lecturer

• Bilingualism
• Multilingualism
• Linguistics
• +3 more

Dr. Ira Gawlitzek is a Senior Lecturer with Tenure and Senior Academic Councillor at the University of Mannheim, affiliated with the Department of English (Anglistik I) within the School of Humanities. Her research focuses on bilingualism, multilingualism, and language acquisition, with specific expertise in corpus linguistics and child language development. She holds a fixed position at the L 10 building, room 219, and her contact includes phone number +49 621 181-2338 and email gawlitzek@uni-mannheim.de. Office hours are by appointment during the semester break and Mondays 2–3 PM during term time. Her research explores topics such as gender differences in language use, ethnic influences on language proficiency, and syntactic development in multilingual contexts. Key contributions include studies on bilingual bootstrapping mechanisms and the analysis of intensifiers in spoken corpora. Her work bridges theoretical linguistics with sociolinguistic applications, emphasizing empirical methods like corpus analysis. Publications span from foundational studies in bilingual acquisition (1990s) to recent investigations into corpus-based sociolinguistic patterns. No specific awards are listed, but her work demonstrates sustained academic impact through interdisciplinary approaches. While no advising records are provided, her teaching and research activities suggest involvement in guiding graduate students in linguistics and applied language studies. Labs or affiliated research groups are not explicitly mentioned, but her participation in collaborative projects like the Spoken BNC2014 study indicates engagement with large-scale linguistic datasets.

Kun LuView profile

Associate Professor

• Natural Language Processing
• Information Retrieval
• Text Mining
• +3 more

Kun Lu is an Associate Professor in the School of Library and Information Studies (an iSchool) at The University of Oklahoma, serving as Co-Director of the Data Scholarship Program. His research focuses on applied natural language processing (NLP), information retrieval, text mining, and science informatics. He develops NLP methods for domains like oncology clinical trials, materials science, and Native American literature analysis. His work emphasizes interdisciplinary applications, including improving patient-clinical trial matching and accelerating materials discovery through machine learning. Dr. Lu teaches courses such as Information Retrieval & Text Mining and Database Design, and has secured grants totaling over $750,000 from NIH and institutional seed funds. Key projects include NIH-funded work on clinical trial optimization ($717,666), seed-funded studies on LLM applications in materials design, and HathiTrust-based Native American literature analysis. His award-winning research includes a 2011 Highly Commended Award for health information retrieval interface evaluation. Publications span 35+ peer-reviewed articles in top journals like Scientometrics , Journal of the Association for Information Science and Technology , and PLOS ONE , with recent focus on generative AI, domain-specific NLP, and scientific literature analysis. Affiliations: School of Library and Information Studies, Data Scholarship Program, Dodge Family College of Arts and Sciences Grants: NIH grant (2024-2026), OU seed funds for materials science and clinical trials projects Research Themes: NLP applications, scientometrics, health informatics, interdisciplinary data science

Stefan HillmannView profile

Researcher

• Dialogue Systems
• Multimodal Human-Computer Interaction
• Usability Evaluation
• +3 more

Dr.-Ing. Stefan Hillmann is a researcher at the Quality and Usability Lab at Technische Universität Berlin, focusing on usability evaluation of spoken and multimodal dialogue systems. He holds a Doctor of Engineering degree and has been involved in various research projects since 2010, including the DFG-funded 'User Model' project and the Universal Home Control Interface@Connected Usability initiative. His work emphasizes dialogue management, machine learning, and reinforcement learning applications in conversational interfaces. He coordinates MOOCs on Communication Acoustics and teaches courses on topics like neural networks in language technology and multimodal interaction. Education: Diplom-Informatiker (2006), PhD candidate (since 2010) at TU Berlin. Research Projects: Smart home usability evaluation, reinforcement learning for dialogue systems, and medical dialogue system explainability. Research Interests: Prioritizes human-computer interaction, automatic usability prediction, and context-aware dialogue systems. His contributions span theoretical frameworks and applied systems, with a focus on practical usability in healthcare and education. Teaching & Mentorship: Coordinates edX courses and supervises study projects like 'Smart Picture Frame' and 'BC Stories VR.' Engages students in applied research through seminars and practical exercises. Publications: Over 15+ peer-reviewed papers since 2019, focusing on dialogue systems, explainability in AI, and crowdsourcing evaluation techniques. Recent work includes chatbot usability studies and multimodal interaction frameworks.

• Applied Linguistics
• Second Language Acquisition
• English Language Teaching
• +7 more

Dr. Piotr Steinbrich serves as an Assistant Professor in the Department of Applied Linguistics at the Faculty of Humanities, John Paul II Catholic University of Lublin. His academic career demonstrates significant engagement with both theoretical linguistic frameworks and practical language teaching applications across diverse educational contexts. Dr. Steinbrich's research interests span multiple dimensions of applied linguistics, with particular focus on second language acquisition, pronunciation teaching methodologies, academic writing instruction, and the evolving relationship between technology and language education. His work examines critical questions about language teaching paradigms, learner autonomy, and the sociolinguistic dimensions of English language varieties, especially regarding Received Pronunciation and standard language ideologies. Analysis of his recent publications reveals a strong trajectory examining how emerging technologies like AI impact language learning, alongside continued investigation into fundamental questions of language teaching methodology. His research consistently bridges theoretical linguistics with classroom practice, addressing challenges from primary education through university-level instruction. Award for best presentation at the Linguistics Beyond and Within conference, together with Dr. Ewa Guz Dr. Steinbrich has served as an active member of the International Organization of Teachers of English as a Foreign Language since 2007 and has contributed significantly to the academic community through organizing the international 'Linguistics Beyond and Within' conference series. His professional activities demonstrate sustained commitment to advancing language education through scholarly exchange and practical application of linguistic research.