جستجوی استاد راهنمای دانشگاهی

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

• Jewish History
• Early Modern History
• Modern Jewish History
• +۶ مورد دیگر

Bart Wallet is Professor of Jewish Studies specializing in Early Modern and Modern Jewish History at the University of Amsterdam's Faculty of Humanities, where he is affiliated with the Department of Semitic Languages and Cultures. His academic work focuses on the intricate relationship between Jewish communities and Dutch society throughout history, with particular emphasis on the connections between the Dutch Royal House and Jewish communities. Wallet's research interests span Dutch Jewish history from the early modern period to the contemporary era, with special attention to Yiddish studies, religious history, cultural integration, and the development of Jewish identity in the Netherlands. His scholarly output reveals a consistent focus on how Jewish communities navigated their position as a religious minority within Dutch society, particularly examining the complex dynamics between Jewish citizens and the Dutch state and monarchy. His work often explores the tension between religious tradition and modernization, and how Jewish communities maintained their identity while integrating into broader Dutch society. Analysis of his recent publications shows a strong thematic concentration on Orange-Jewish relations throughout Dutch history, Jewish military service, religious education, and the material culture of Jewish communities. His scholarship demonstrates a methodological approach that combines cultural history with religious studies, often revealing how seemingly mundane aspects of daily life reflect broader societal patterns of integration and identity formation. The geographic focus remains predominantly on the Netherlands, though with comparative perspectives on Jewish communities in other European contexts. Professor Wallet has been active in public scholarship through media appearances, radio programs, and contributions to encyclopedias. His work has appeared in both academic journals and public-facing media outlets, demonstrating his commitment to making Jewish history accessible to broader audiences. He has contributed to numerous radio programs on Jewish history for Dutch Jewish radio stations and has written for newspapers including the Reformatorisch Dagblad. His academic contributions include extensive work on Dutch-Jewish relations, particularly focusing on the relationship between Jewish communities and the Dutch Royal House throughout history. He has also produced significant scholarship on Jewish integration in Dutch society, religious education, and the development of Jewish identity in the Netherlands from the early modern period to the present day. His work often examines how Jewish communities maintained religious traditions while adapting to changing social and political contexts.

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.

• Cognitive Psychology
• Language Processing
• Educational Neuroscience
• +۲ مورد دیگر

Lesya Ganushchak is Assistant Professor in Educational Sciences at Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam. Her research employs cognitive neuroscience methods to examine language processing, reading development, and educational interventions. Using EEG/ERP and eye-tracking methodologies, she investigates cognitive mechanisms underlying self-monitoring, lexical access, and sentence production. Recent publications demonstrate her focus on evidence-based educational interventions: Meta-analyses of reading proficiency interventions (2024) Inference-making development in early readers (2023) Behavioral nudges improving online learning engagement (2022) Her ORCID profile documents extensive research output with collaborative networks spanning cognitive psychology and education research.

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.

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +۴ مورد دیگر

Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing

Sible Andringaمشاهده پروفایل

استاد

• Second Language Acquisition
• Bilingualism
• Language Pedagogy
• +۵ مورد دیگر

Sible Andringa is Professor of Second Language Pedagogy at the University of Amsterdam's Faculty of Humanities, officially inaugurated on June 16, 2023. Dr. Andringa serves as Academic Director of the Institute for Dutch Language Education (INTT), Coordinator of the Language Learning, Literacy and Multilingualism research group, and Coordinator of the Master's program in Dutch as a Second Language and Multilingualism. Dr. Andringa's research focuses on second language acquisition and bilingualism, specifically investigating the added value of explicit instruction, how input distribution affects language learning outcomes, and the role of awareness in language learning trajectories. Key ongoing projects include the Meta-LLL project examining how literacy shapes language learning, the SLA4All initiative for reproducing SLA research with non-academic samples, and the OASIS project creating accessible research summaries for practitioners. Previously, Dr. Andringa led Project MIND studying bilingual daycare effects and contributed to the Stilis project on listening proficiency. As General Editor of the Dutch Journal of Applied Linguistics (DuJAL), Dr. Andringa promotes open science principles in language research. Recent publications demonstrate a focus on addressing sampling biases in SLA research, open access publishing ethics, and practical applications of language acquisition research for educational settings. Academic Director, Institute for Dutch Language Education (INTT) Coordinator, Language Learning, Literacy and Multilingualism research group Coordinator, Master's program Dutch as a Second Language and Multilingualism General Editor, Dutch Journal of Applied Linguistics (DuJAL) Member, Mastery Team for Modern Foreign Languages Member, OASIS project team Member, IRIS database advisory group Dr. Andringa supervises PhD candidates including Kyra Hanekamp and Darlene Keydeniers, particularly in research related to bilingual daycare environments and language development. The research program has received funding from the Dutch ministry of Social Affairs for Project MIND and continues to secure support for ongoing projects examining language learning mechanisms. Dr. Andringa leads the Language Learning, Literacy, and Multilingualism research group which investigates language and literacy acquisition across the lifespan, with emphasis on how language skills are learned, maintained, and used in educational contexts. The group meets weekly to discuss projects, plans, funding opportunities, and research topics while promoting collaboration, methodological innovation, and open science principles.

• Bilingualism
• Multilingualism
• Psycholinguistics
• +۳ مورد دیگر

G.J. Greg Poarch, PhD is an Associate Professor of English Linguistics and English as a Second Language (ESL) at the University of Groningen's Faculty of Arts. He holds positions on the Cluster Board 2 as Secretary and serves as President of the International Association of Multilingualism (IAM). His research focuses on bilingualism, multilingualism, psycholinguistics, and the cognitive impacts of language learning. He is affiliated with the Neurolinguistics and Language Development (NLD) research group. Research interests include cross-linguistic activation in multilingual speakers, executive function development in multilingual children, and the relationship between multilingualism and neurocognitive health in aging populations. His work addresses topics like translanguaging theory, structural priming in language acquisition, and the role of genetic factors in Alzheimer's risk mitigation among multilinguals. Poarch collaborates internationally, organizing conferences such as the 13th International Conference on Third Language Acquisition and Multilingualism (2024). His research has been published in journals like Linguistic Approaches to Bilingualism , Language Learning , and Journal of Experimental Child Psychology .

Melissa de Roosمشاهده پروفایل

استادیار

• Forensic Psychology
• Sexual Violence
• Child Sexual Abuse Material (CSAM)
• +۱۳ مورد دیگر

Melissa de Roos is an Assistant Professor in Forensic Psychology at Erasmus University Rotterdam, affiliated with the Erasmus School of Social and Behavioural Sciences and the Department of Clinical Psychology. She is the Principal Investigator (PI) of the RESOLVE lab, where she leads research on sexual violence, online incel communities, and the psychological mechanisms of harmful sexual behaviors. PhD in Psychology – University of Texas at El Paso (2018) MA in Experimental Psychology – University of Texas at El Paso (2017) MSc in Forensic Psychology – University of Portsmouth (2011) BSc in Psychology – Rijksuniversiteit Groningen (2010) Her research focuses on child sexual abuse material (CSAM) offending, prevention of non-preferential offenders, and the impact of violent pornography on risk recognition and sexual consent. She investigates the role of mental health in predicting engagement with online incel communities, analyzing the function of violent rhetoric and how their discourse frames sexual violence. Her work also examines dark personality traits (e.g., Dark Tetrad) and impulsivity in relation to paraphilic behaviors using neuropsychological methods such as EEG. Her recent publications (2024–2025) demonstrate a strong trend in interdisciplinary research combining forensic psychology, digital sociology, and cognitive neuroscience. These works explore extremist language in online communities, paraphilic behaviors, and the neural correlates of impulsivity and personality disorders. Her research contributes to the UN Sustainable Development Goals, particularly in promoting justice and mental well-being. Principal Investigator, RESOLVE Lab

Arianna Bisazzaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +۷ مورد دیگر

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

Peng Wangمشاهده پروفایل

استاد مهمان

• Mental Health
• Emotion Dynamics
• Child and Adolescent Development
• +۳ مورد دیگر

Peng Wang is a Visiting Professor at the Department of Philosophy of the Sciences within the Faculty of Humanities at Vrije Universiteit Amsterdam. His academic qualifications include a PhD in Language and Emotion from VU University Amsterdam, and advanced studies in Linguistics, Education Research, and Public Health Statistics from Missouri State University, the University of Edinburgh, and the University of Oxford. His research focuses on interdisciplinary topics such as mental health interventions, emotion dynamics in education, neurodiversity advocacy, and healthcare communication. Key areas include transdiagnostic mental health approaches, ecological momentary assessment frameworks, and the integration of AI with neurotechnological research. Recent publications explore innovative methods for mental health monitoring (e.g., trimodal emotion assessment systems), universal school-based interventions for children, and the neuroethical implications of neurodiversity research. His work bridges philosophy of science with applied research in healthcare and education systems. No formal awards are listed, though his research has garnered attention across multiple platforms including Mendeley and Bluesky. Collaborations span global institutions with a focus on child mental health and healthcare professional wellbeing.

Marco Spruitمشاهده پروفایل

استاد

• Advanced Data Science
• Population Health
• Natural Language Processing (NLP)
• +۵ مورد دیگر

Marco Spruit is a Professor of Advanced Data Science in Population Health at Leiden University, holding dual appointments at the Leiden University Medical Center (LUMC) and the Faculty of Science's Leiden Institute of Advanced Computer Science (LIACS). His research focuses on translational data science, integrating machine learning, natural language processing, and healthcare applications to bridge fundamental and applied research. He leads the Translational Data Science & AI Lab (TDS Lab), aiming to establish a national infrastructure for Dutch health data science. Education & Leadership: Spruit earned his PhD in computational linguistics from the University of Amsterdam. He has led numerous initiatives, including the Data Science strategy at Utrecht University and the Translational Data Science research theme at Leiden. His leadership style emphasizes mentorship and collaborative innovation. Grants & Collaborations: Key projects include UNCAN-Connect (€30M EU grant for cancer research), INSAFEDARE (synthetic data for regulatory decisions), and Phaeton (pandemic preparedness platform). He collaborates with institutions globally, including Universitas Gadjah Mada in Indonesia. Research Interests: Spruit specializes in federated learning, synthetic data generation, clinical NLP, and AI-driven healthcare solutions. His TDS Lab addresses challenges in data engineering, analytics, and eHealth implementation, with applications in mental health, diabetes management, and elderly care. Awards: He received the ALLC Bursary Award (2005) for computational linguistics research. His work emphasizes ethical AI and responsible data practices. Lab & Teams: The TDS Lab includes 1 assistant professor, 2 postdocs, 6 PhD students, and 4 external collaborators. Monthly meetings foster academic and social cohesion, with a focus on mentorship and innovation.

Marian Counihanمشاهده پروفایل

استادیار

• Urban Studies
• Philosophy
• Transdisciplinary Education
• +۳ مورد دیگر

Marian Counihan is an Assistant Professor at the University College Groningen, part of the University of Groningen, where she serves as Director of Academic Staff in the Department of Humanities. Her work bridges urban studies, philosophy, and transdisciplinary education. She currently chairs the Board of Examiners at UCG (since 2018) and contributes to advisory roles like Noorderzon & Society. Her research focuses on urban politics, international student activism, and environmental representation through innovative methods like theatre-based learning. She co-leads projects such as 'Acting UP!' and collaborates on initiatives like 'Cities for Talent,' exploring how medium-sized European cities attract global talent. Ancillary activities include research with Maieutic and freelance work. Research interests emphasize sociocultural capital's impact on political engagement, particularly among international students, and the role of performative methods in civic discourse. She has published in journals like International Higher Education and edited volumes on urban philosophy. Her work often intersects with spatial politics, environmental advocacy, and educational innovation. Collaborations include projects with scholars like Wim van Winden (talent cities) and Marijn Wilders (theatre methodologies). Awards: No specific scientific awards listed. Grants and funding details not explicitly stated in provided texts. Advising: No listed advisees, but collaborates extensively on research teams. Lab/Team: Associated with University College Groningen's Humanities Department research groups focused on urban studies and transdisciplinary methods.

• Emotional Communication
• Linguistics
• Cognitive Science
• +۵ مورد دیگر

Dr. Martijn Goudbeek is an Associate Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (TSHD), specifically within the Department of Communication and Cognition. His research focuses on the intersection of emotion, language, and cross-cultural communication, with a strong emphasis on vocal and linguistic expression of affect. He has contributed significantly to understanding how emotional states influence language production and perception, particularly across cultural and linguistic boundaries. His work spans experimental psychology, computational linguistics, and human-robot interaction. He is affiliated with the Communication and Cognition department and teaches courses like 'The Emotional Brain' and 'Statistics and Experimental Methods.' Key research themes include vocal emotion recognition in multilingual contexts, the role of rhythm and acoustic cues in affective communication, and the reproducibility of language evaluation methods. He has led projects such as the Multilingual Emotional Football Corpus (MEmoFC) and explored how cultural factors shape nonverbal expressions like smiles and gestures. His studies often combine empirical experiments with computational modeling, addressing topics ranging from politeness in mood-influenced communication to the design of socially intelligent chatbots and robots. Dr. Goudbeek’s interdisciplinary approach bridges cognitive science, linguistics, and digital technologies. While no specific grants or awards are listed, his extensive publication record reflects sustained contributions to understanding human emotion expression and its technological applications. His work frequently engages with questions of reproducibility in NLP and dialogue systems, emphasizing methodological rigor in computational linguistics.

Martine Coeneمشاهده پروفایل

استاد

• Child Language Acquisition
• Second Language Acquisition
• Hearing Impairments
• +۳ مورد دیگر

Prof. Martine Coene is a Full Professor at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Social Sciences and Humanities (Department of Language, Literature and Communication) and the Network Institute. Her research bridges theoretical linguistics, child language acquisition, second language learning, and hearing impairments. She collaborates widely, including with the University of Bucharest on Romanian language studies. Her work investigates language development in hearing-impaired children and those with language disorders, informed by national/European grants. Key contributions include developing linguistic testing tools for audiological practice. She teaches advanced statistics and applied linguistics courses at the graduate level. Recent research highlights include studying cochlear implant challenges in schools, pandemic impacts on hearing-impaired adults, and multilingual causal expression patterns in Mandarin Chinese. Her work emphasizes practical applications in education and healthcare accessibility. Supervised 6 PhD theses Recipient of national/EU research grants Active in interdisciplinary collaborations