جست‌وجوی استاد و پژوهشگر

Etienne Gaudrainمشاهده پروفایل

پژوهشگر

• Auditory Scene Analysis
• Speech Perception
• Cochlear Implants
• +۵ مورد دیگر

Dr. Etienne Gaudrain is a permanent Researcher at the Lyon Neuroscience Research Center (CRNL) , Université Lyon 1, France, and a Visiting Researcher at the University Medical Center Groningen (UMCG), Netherlands. His work focuses on auditory perception, particularly in cochlear implant users, and he has co-supervised multiple PhD and Master’s students across institutions. Current affiliation: Université Lyon 1, Faculty of Medical Sciences Secondary affiliation: University Medical Center Groningen (UMCG) Education: PhD in Acoustics, Université Lyon 1 (2008) Habilitation à Diriger des Recherches (HDR), Université Lyon 1 (2021) M.Sc. in Acoustics, École Centrale de Lyon / Université Lyon 1 (2004) M.Sc. in Engineering, École Centrale de Lyon (2004) Research interests span auditory scene analysis, speech perception, cochlear implants, pitch and vocal tract length perception, and perceptual integration of speech features. He has contributed to understanding how cochlear implant users segregate concurrent speech and perceive vocal characteristics, developing novel methodologies like Zebra-speech to study sequential aspects of auditory processing. His work has involved collaborations with institutions in France, UK, Germany, Switzerland, and the Netherlands. He has served as an ad-hoc reviewer for journals such as The Journal of the Acoustical Society of America and organized multiple international workshops on speech-in-noise research. Supervision and Grants: Supervised 5 PhD students (2012–2025), including Floris Rotteveel (dual PhD 2022–2025) and Moïra-Phoebé Huet (2016–2019) Coordinated or contributed to grants totaling over €2.5 million, including an NWO VICI grant (€1.5M, 2017) and an ERA-NET CoSySpeech grant (€844k, 2021) Labs and Teams: Auditory Cognition and Psychoacoustics team, CRNL, Lyon Speech Perception group, UMCG, Groningen Collaborations with MRC Cognition and Brain Sciences Unit (Cambridge, UK), CNBH (Cambridge), and international researchers

Mathias Funkمشاهده پروفایل

دانشیار

• Design Theory
• Systems Design
• Data-Driven Design
• +۵ مورد دیگر

Mathias Funk is an Associate Professor in the Industrial Design department at Eindhoven University of Technology (TU/e), leading the Things Ecology lab. His research focuses on designing with data and systems behavior, particularly in IoT and medical technology contexts. He co-founded UXsuite GmbH and developed the OOCSI communication framework. With a PhD in Electrical Engineering from TU/e (2011), Funk has held academic roles since 2013, including postdoctoral positions in Electrical Engineering and Industrial Design. He teaches courses like 'Data-enabled design' and supervises projects on AI, data foundry, and OOCSI applications. His work bridges engineering and design, addressing sustainability and human values through systemic design approaches. Education: PhD in Electrical Engineering, TU/e (2011) Computer Science background from RWTH Aachen Postdoc at TU/e's Electrical Engineering and Industrial Design departments Research Interests: Data-driven design methodologies, IoT systems, medical technology innovation, sustainable design practices, and interactive systems for musical expression. Recent work emphasizes telemonitoring efficacy in heart failure care and federated learning applications. Awards: Best Paper Award (2014) Honorable Mention (2021) Grants/Projects: Leading initiatives like MEDICAID (medtech solutions), ACACIA (interpretable AI), and Data-Driven Servitizing in Professional Printing. Active in clinical workflow prototyping and cardiovascular disease detection projects. Lab Activities: Manages the Things Ecology lab, focusing on systemic design challenges in smart ecosystems. Collaborates internationally through spin-offs and visiting lectureships.

Sander Losمشاهده پروفایل

دانشیار

• Temporal Dynamics
• Cognitive Psychology
• Visual Attention
• +۶ مورد دیگر

Dr. Sander Los is an Associate Professor at the Faculty of Behavioural and Movement Sciences (Department of Cognitive Psychology), Vrije Universiteit Amsterdam. He earned his PhD in 1994 with a thesis on 'On the origin of mixing costs: Exploring information processing in pure and mixed blocks of trials' under Prof. Andries Sanders. His research focuses on temporal dynamics of preparatory processes, co-developing the formalized Multiple Trace Theory (fMTP) to explain temporal preparation across time scales (seconds to days). His work integrates cognitive psychology, neuroscience, and computational modeling to explore attentional mechanisms, statistical learning, and spatiotemporal dynamics. Education: PhD in Cognitive Psychology (VU Amsterdam, 1994), postdoctoral research at VU Amsterdam, progressing to Assistant Professor before his current role. Key research areas include visual attention, response inhibition, and long-term memory. He has published over 40 peer-reviewed articles and serves on editorial boards for journals like Attention, Perception, and Psychophysics and Acta Psychologica . Research Interests: His studies investigate how humans prepare for upcoming events temporally and spatially, with recent work on statistical learning guiding visual attention and computational frameworks for temporal preparation. Collaborations emphasize interdisciplinary approaches to understanding attention allocation and neural underpinnings of timing. Grants & Advising: No explicit grants listed, but active in training students (1 supervised PhD thesis). His courses include Methodology, Research Methods, and Practical Skills for Researchers at VU Amsterdam. Labs/Teams: Works closely with colleagues on the fMTP model and statistical learning projects, emphasizing team-based computational and experimental psychology.

Paul Boersmaمشاهده پروفایل

استاد

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

Paul Boersma is a Professor of Phonetic Sciences at the University of Amsterdam within the Faculty of Humanities. His research explores how phonetic, phonological, and morphological phenomena emerge through computational modeling using artificial neural networks and Optimality Theory, with a focus on multi-level constraint interactions and distributional learning. University of Amsterdam Faculty of Humanities Phonetic Sciences Key research areas include: Computational Modeling : Simulations of phonological category emergence from phonetic data Optimality Theory : Gradual Learning Algorithm applications BiPhon Framework : Parallel bidirectional phonology/phonetics models Statistical Learning : Cross-situational and distributional learning mechanisms Recent publications emphasize: 2025: Inclusive speech recognition systems using Whisper model 2025: F0 ratio analysis for creaky voice diagnostics 2024: Prosodic clitics in child speech and checked tones in Shanghai Chinese 2023: Distributional learning in developmental language disorder contexts 2022: Substance-free phonological features and ghost segment phenomena He has also contributed extensively to the Praat software for phonetic analysis, with continuous updates since 1993.

Afra Alishahiمشاهده پروفایل

استاد

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

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

• Cognitive Neuroscience
• Perception
• Decision-Making
• +۳ مورد دیگر

Prof. Floris de Lange is a Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, and holds a part-time W3-Professorship in Cognitive Computational Neuroscience at the University of Bonn. His research focuses on understanding how top-down factors like goals, attention, expectations, and prior knowledge shape perception, cognition, and decision-making. He uses behavioral and neuroimaging techniques (MEG, fMRI, TMS) to study these processes in healthy and pathological brains. Key research themes include predictive perception, attention, and the neural mechanisms underlying decision-making. His work has been supported by prestigious grants such as the Vici and ERC Consolidator Grants. He teaches courses on Attention and Prediction, Cognitive Control, and Neurophysiology of Cognition and Behaviour. Education: Not explicitly stated in the provided text. Awards: Vici Grant (NWO), ERC Consolidator Grant, Ammodo Science Award, and others. Labs/Teams: Leads the Predictive Perception and Cognition group within the Donders Institute. His research highlights the brain’s predictive nature, demonstrating how expectations modulate sensory processing in early visual cortex and influence decision-making. He collaborates internationally, including an adversarial testing project on theories of consciousness.

Peter Desainمشاهده پروفایل

استاد

• Brain-Computer Interfaces
• Neuroscience
• Electrophysiology
• +۳ مورد دیگر

Peter Desain is a Professor and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour, Radboud University. His work focuses on developing advanced brain-computer interfaces (BCI) leveraging evoked potentials, particularly through code-modulated visual and auditory stimuli. He pioneers methods like noise-tagging and Bayesian dynamic stopping to enhance BCI efficiency and accessibility. His research spans neurotechnology, electrophysiological modeling, and clinical applications such as objective EEG audiometry and ALS communication aids. Recent studies emphasize gaze-independent systems, semantic decoding, and minimizing BCI calibration requirements. Key contributions include optimizing c-VEP code-books, real-time fMRI neurofeedback for memory contexts, and literature reviews on BCI design trends. Experimental pilot studies explore auditory attention and high-frequency SSVEP dynamics. No scientific awards are explicitly mentioned. His work integrates multidisciplinary approaches, bridging neuroscience, machine learning, and engineering to advance human-computer interaction and clinical tools.

Charles Forcevilleمشاهده پروفایل

دانشیار

• Visual Metaphor
• Multimodal Communication
• Cognitive Linguistics
• +۷ مورد دیگر

Dr. Charles Forceville is an Associate Professor in the Department of Media Studies at the Faculty of Humanities, University of Amsterdam. His academic career spans over three decades with significant contributions to visual and multimodal communication studies. Previously, he served as Head of MA programmes Media Studies (2016-2018) and taught at Amsterdam University College (2008-2021). Forceville's research focuses on visual and multimodal metaphor, cognitive linguistics, relevance theory, and visual rhetoric across diverse media including political cartoons, advertising, children's picture books, documentaries, and animation. His landmark publications include Visual and Multimodal Communication: Applying the Relevance Principle (Oxford University Press, 2020) and Multimodal Metaphor (Mouton de Gruyter, 2009). His recent work examines metaphor in Stand Up 2 Cancer animations, political cartoons, medical animations, and Chinese-American trade conflict representations. His research demonstrates how visual and multimodal metaphors function across cultural contexts, with particular attention to the JOURNEY metaphor schema and its applications in film, animation, and comics. Forceville's methodological approach combines cognitive linguistics with relevance theory to analyze how meaning is constructed visually and multimodally. Among his notable contributions is the development of frameworks for identifying and interpreting visual metaphors where traditional linguistic analysis falls short. His work on pictorial runes (emotion lines in comics), visual argumentation in documentaries, and cultural variations in metaphor representation has significantly advanced the field of multimodal communication studies. Forceville has taught courses on Pictorial & Multimodal Metaphor, Tutorial on Multimodality & Cognition, History & Theory of Documentary Film, and Film Analysis. His extensive publication record of over 170 scholarly works reflects his leadership in establishing multimodal metaphor studies as a rigorous academic discipline.

Silke Hamannمشاهده پروفایل

پژوهشگر

• Phonology
• Phonetics
• Language Acquisition
• +۸ مورد دیگر

Dr. Silke Hamann is a researcher at the University of Amsterdam, Faculty of Humanities, Department of Linguistics. Her work bridges phonology and phonetics, focusing on the emergence of phonological features, perceptual cues in segmental contrasts, and the interaction of phonology with orthography and language acquisition. Current projects: diachronic loanword adaptation, congenital amusia's impact on speech perception, Bantu languages (with Nancy Kula and Laura Downing), Catalan studies (with Francesc Torres-Tamarit) Research interests span synchronic/diachronic phonology, phonetic perception, computational modeling of phonological acquisition, and cross-linguistic analysis of retroflex consonants. Her publications analyze phenomena in Korean, Japanese, Bantu languages, German, Portuguese, and Slavic languages, with recurring themes of cue weighting, phonological constraints, and orthographic influence. Recent articles highlight her focus on creaky voice diagnostics, loanword phonotactics, congenital amusia, and Bantu intonation systems. Collaborations with Nancy Kula (Bantu) and Francesc Torres-Tamarit (Catalan) underscore her international research network.

Michel Dumontierمشاهده پروفایل

استاد

• FAIR data
• generative artificial intelligence
• machine learning
• +۹ مورد دیگر

Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University, where he serves as the founder and Director of the Institute of Data Science. He is internationally recognized as a co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles, which have transformed scientific data management globally. His academic background includes: BSc in Biochemistry from the University of Manitoba (1999) PhD in Bioinformatics from the University of Toronto (2004) Assistant/Associate Professor at Carleton University (2005-2013) Associate Professor at Stanford University (2013-2016) Distinguished Professor at Maastricht University (2017-present) Dr. Dumontier's research focuses on unlocking data potential for scientific discovery, with expertise in knowledge graphs for drug discovery and personalized medicine. His work spans FAIR data principles, generative AI, machine learning, semantic technologies, ontology, and data integration. His recent publications reveal a strong trend toward applying generative AI to healthcare data, with increasing focus on synthetic health data generation, privacy-preserving techniques, and knowledge graph applications in drug repurposing. His work bridges computer science, biomedical informatics, and clinical applications across multiple medical domains. Dr. Dumontier has secured significant research funding as a principal investigator: NWO (Dutch Research Council) Horizon Europe MCSA NIH/NCATS ARPA-H He coordinates the AIDAVA and REALM projects, leads the NCATS Biomedical Data Translator, and directs the GENIUS AI lab. As editor-in-chief of the journal Data Science, he shapes discourse in the field. Dr. Dumontier maintains active industry connections through: Minderheidsaandeelhouder at Data2Discovery Inc Scientific advisor and minority shareholder at OntoForce NV Scientific advisor, board member, and minority shareholder at Comunicare Editor-in-chief of Data Science Journal at Sage Publishing

Leanne Nagelsمشاهده پروفایل

پژوهشگر

• Cochlear Implants
• Voice Perception
• Speech Perception
• +۵ مورد دیگر

Dr. Leanne Nagels is a researcher at the University of Groningen and University Medical Center Groningen (UMCG), affiliated with both the Faculty of Medical Sciences' Department of Otorhinolaryngology and the Semantics and Cognition research group at the Center of Language and Cognition Groningen (CLCG). Her PhD project, supervised by Professors Petra Hendriks and Deniz Başkent, investigates the perception of indexical voice cues (e.g., gender, emotion) in children and adults with cochlear implants. This interdisciplinary work bridges linguistics and audiology, addressing challenges in speech perception and cognitive processing among hearing-impaired populations. Her research focuses on how degraded acoustic signals from cochlear implants affect voice perception, vocal emotion recognition, and speech comprehension in noisy environments. Key contributions include developing the EmoHI test to assess emotional voice perception in hearing-impaired children and identifying dissociated developmental trajectories for gender and emotion perception in pediatric cochlear implant users. She has published extensively in journals like Scientific Reports , PeerJ , and Trends in Hearing , and received the PeerJ VIHAR workshop Best Proceedings Paper Award (2019). Education: PhD candidate in Linguistics/Audiology, University of Groningen (2017–present); Master’s thesis on contextual and lexical processing in cochlear implant users (supervised by Dr. Anita Wagner). Affiliations: Research School of Behavioural and Cognitive Neurosciences Groningen (BCN); Center of Language and Cognition Groningen (CLCG). Her work highlights how early auditory deprivation impacts voice perception abilities and advocates for tailored rehabilitation strategies to improve quality of life for cochlear implant users.

• Cognitive Psychology
• Embodied Cognition
• Memory
• +۹ مورد دیگر

Rene Zeelenberg is an Associate Professor at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, where he contributes to the Brain & Cognition research program. His work is deeply rooted in cognitive psychology, focusing on how bodily experiences and actions shape cognition and memory. His research interests include embodied cognition, memory processes, perception, and language. He investigates how motor actions influence long-term memory, how multisensory experiences affect learning, and how mental simulations of actions prime behavioral responses. His work often bridges experimental psychology with cognitive neuroscience, using behavioral paradigms to explore the grounded nature of cognition. The analysis of his recent publications reveals a consistent focus on the interaction between action and memory, with strong emphasis on experimental design and theoretical innovation in cognitive science. Themes such as motor congruency, priming, and multisensory integration recur across his studies, highlighting a cohesive research trajectory. Rene Zeelenberg has served as an editor for prominent journals including Quarterly Journal of Experimental Psychology , Emotion , and Memory & Cognition , reflecting his academic service and standing in the field. He has also delivered oral presentations at professional and academic conferences, discussing topics such as grasp compatibility and abstract conceptualization. While no formal list of students or grants is provided, his collaborative research output—especially with Dirk Pecher—suggests active mentorship and research leadership. He is part of a dynamic research network in cognitive psychology, contributing to both theoretical and empirical advances in understanding human memory and perception.

• Speech perception
• Hearing loss
• Cochlear implants
• +۷ مورد دیگر

Prof. Deniz Baskent is a Full Professor at the University of Groningen (RUG) and University Medical Center Groningen (UMCG), affiliated with the Department of Otorhinolaryngology and School of Behavioral and Cognitive Neuroscience. His work focuses on speech perception, cochlear implants, and auditory neuroscience. He leads the dB SPL Lab, exploring voice perception, robotic applications in audiology, and music training effects on hearing. Positions: Full Professor (2014–present), Former Rosalind Franklin Fellow (2009–2014) Affiliations: W.J. Kolff Institute, BCN Research School Education: PhD (USC, 2003): Speech recognition under cochlear processing MSc/BSc (Bilkent University): Electrical & Electronics Engineering Research Interests: Hearing science, cochlear implants, speech-in-noise perception, vocal emotion recognition, and robotics in audiology. Current lab projects include humanoid robots for speech testing and music perception training for implant users. His work bridges auditory neuroscience with clinical applications, emphasizing real-world listening scenarios. Recent Articles: Focus on neuroimaging correlates of speech deficits, listening effort metrics, and vocal emotion recognition in implant users. Explores spectral-temporal pitch coding and acoustic environments for children with hearing loss. Awards: Fellow, Acoustical Society of America Senior IEEE Member Grants & Labs: Leads dB SPL Lab with funding from EU and Dutch Science Foundation. Co-director of the Perception, Cognition, and Neuroscience program. Active in 19 EU-funded VoCS doctoral network projects.

Karl J. Fristonمشاهده پروفایل

استاد

• Neuroscience
• Radiology and Medical Imaging
• Computational Neuroscience
• +۴ مورد دیگر

Karl J. Friston is Professor of Imaging Neuroscience and Wellcome Principal Research Fellow at the Faculty of Brain Science, University College London. He serves as Scientific Director of the Wellcome Trust Centre for Neuroimaging and has been a leading figure in computational neuroscience for decades. Friston previously served as President of the international Organization of Human Brain Mapping in 2000 and has received numerous prestigious awards for his groundbreaking work. Professor Friston's research centers on theoretical neuroscience with a focus on the free energy principle , active inference , and predictive coding frameworks. His work spans multiple disciplines including neuroimaging methodology , computational psychiatry , and cognitive neuroscience . Friston has developed statistical approaches like Statistical Parametric Mapping (SPM) that have become standard tools in brain imaging research worldwide. His theoretical contributions provide unifying frameworks for understanding perception, action, and consciousness from a computational perspective. Analysis of Friston's recent publications reveals continued innovation in applying mathematical frameworks to complex neuroscience questions. His work increasingly bridges theoretical neuroscience with clinical applications in psychiatry and expands into artificial intelligence, exploring how brain principles can inform machine learning. The articles demonstrate consistent development of the free energy principle across diverse domains from psychedelic drug action to climate change impacts on brain health. Minerva Golden Brain Award (2003) Fellow of the Royal Society (2006) Medal, Collège de France (2008) Honorary Doctorate from the University of York (2011) Fellow of the Society of Biology (2012) As Scientific Director of the Wellcome Trust Centre for Neuroimaging, Friston leads a major research program that has secured substantial funding from the Wellcome Trust and other major research bodies. His theoretical frameworks have generated numerous research projects worldwide, influencing both basic neuroscience and clinical applications. Friston's work has been particularly influential in precision psychiatry, where computational approaches are being applied to understand and treat mental disorders through frameworks like the 'Bayesian Dysconnections' model. Friston is based at the Wellcome Trust Centre for Neuroimaging at University College London, a leading institution for brain imaging research. His work involves extensive collaborations across multiple disciplines and institutions, bringing together neuroscientists, physicists, mathematicians, and clinicians to advance our understanding of brain function through advanced imaging and computational techniques.

• Clinical Psychology
• Anxiety Disorders
• Experimental Psychopathology
• +۴ مورد دیگر

Vera Bouwman is a dedicated researcher and PhD candidate at Utrecht University's Department of Clinical Psychology within the Social and Behavioural Sciences faculty since September 2020. Her work is centered at the Martinus J. Langeveld Building (Heidelberglaan 1, Room H1.29) where she conducts cutting-edge research on anxiety disorders and treatment response prediction. Her educational background includes a Master's degree in Clinical Psychology (2016) and a Research Master's degree in Social and Health Psychology earned cum laude (2018), both from Utrecht University. Following her studies, she gained valuable research experience as a research assistant (2018-2019) in the Experimental Psychopathology lab. Bouwman's research focuses on implementing experimental approaches to predict anxiety-related treatment response through dynamical system models. Her work aims to identify dynamic early warning signals that indicate individual readiness for change, with the ultimate goal of understanding why and when psychological change is most likely to occur in clinical settings. This innovative approach bridges theoretical models with practical clinical applications. Her publication record demonstrates consistent focus on fear generalization, anxiety disorders, and emotional memory modification. Her research shows a clear trajectory toward developing predictive models for treatment response, with increasing sophistication in methodology from her early work on memory modification through to her current focus on dynamical systems approaches to anxiety treatment. Bouwman's research is supported by significant funding, currently working on a NWO VIDI grant awarded to Dr. Elske Salemink for the project 'Time for change. Sensitivity to experimental perturbations as a predictor of anxiety improvement in treatment'. Previously, her work contributed to a NWO VICI grant awarded to Prof. Dr. Iris Engelhard. She is supervised by an esteemed team including Dr. Elske Salemink (primary supervisor), Prof. Dr. Iris Engelhard, and Dr. Lynn Mobach. Her work is closely associated with the Experimental Psychopathology lab at Utrecht University, where she continues to develop her expertise in experimental approaches to understanding and treating anxiety disorders.