جست‌وجوی استاد و پژوهشگر

• Second Language Acquisition
• Intercultural Communication
• Syntax (Generative Framework)
• +۴ مورد دیگر

Dr. Manuela Pinto is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication, with affiliations to the Institute for Language Sciences and the Dynamics of Youth (DoY) research theme. Her work bridges formal linguistics (Generative Grammar) with applied language education, focusing on second language acquisition, psycholinguistics, and intercultural communication. PhD in Linguistics (Utrecht, 1997) - Thesis: Licensing and Interpretation of Inverted Subjects in Italian MA in General Linguistics (Utrecht, 1991) MA in German Language/Literature (Italy, 1986) Research spans child language development, bilingualism, and societal applications through projects like: Coloring Book - Digital method for assessing language comprehension in children KleurenSchat - Dutch vocabulary assessment tool Nederlands voor Alle Kinderen (NvAK) - Language tracking for newcomer children Community Engaged Learning projects with migrants' organizations Recent publications focus on: Syntactic theory and microcontact phenomena Ecological validity in language testing Aspectual properties in L2 acquisition Intercultural pragmatics in advertising She has received research grants for: Heritage Storytelling projects Bidirectional Storytelling initiatives Additional contributions include: Coordinating typological databases Organizing international conferences (Going Romance, ISB symposia) Founding Growingupbilingual.org information service

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Dr. Shihan Wang is an Assistant Professor at Utrecht University's Faculty of Science, Department of Information & Computing Sciences, specializing in Intelligent Systems . Their research balances theoretical development and practical application, focusing on human-centered artificial intelligence and reinforcement learning. Wang's expertise spans Artificial Intelligence, Machine Learning, Data Mining, Computational Social Sciences, and Social Networks , with a particular emphasis on applying these fields to healthcare (e.g., diabetes and dementia care), behavioral science (e.g., physical activity promotion), and social network analysis . 2025 Articles: Efficient dialogue policies with evolutionary techniques • Factorized communication in multi-agent systems • Sparse communication frameworks 2024 Highlights: Goal-shaping for dialogue systems • Reward structure learning • Taxonomy induction with multi-critic RL Scientific contributions are recognized through a University Teaching Qualification (2020) and a Teaching Prize (2021-2022) . Currently, they coordinate the Applied HAI special interest group and participate in The Hybrid Intelligence Center and Benelux Association for Artificial Intelligence . Teaching activities include Advanced Machine Learning (lecturer 2020-2023), Applications of Machine Learning (2020-2022), and program coordination for the Artificial Intelligence MSc since 2022.

C.J.M. (Cor) Suhreمشاهده پروفایل

پژوهشگر

• Educational Research
• Educational Psychology
• Teacher Education
• +۷ مورد دیگر

Dr. C.J.M. (Cor) Suhre is a Research Associate in the Faculty of Behavioural and Social Sciences at the University of Groningen, specializing in Teaching and Teacher Education. With over 100 research outputs spanning more than a decade, Dr. Suhre maintains an active research profile in educational psychology and teacher development. Dr. Suhre's research interests focus on educational assessment, teacher education, school leadership, and cognitive development in learning contexts. Their work particularly examines formative assessment practices, logical reasoning development, distributed leadership in schools, and the relationship between school vision and teacher commitment. Recent research has explored the impact of explicit school vision on teacher commitment, formative assessment instruments in science education, and the influence of leadership on PhD students' sense of belonging in Kenyan universities. Analysis of Dr. Suhre's publication history reveals consistent contributions across multiple educational subfields, with particular emphasis on practical applications for classroom instruction and school improvement. The research demonstrates strong methodological diversity, incorporating qualitative, quantitative, and mixed-methods approaches to address complex educational challenges. Best paper award (2017) Dr. Suhre actively contributes to the academic community through editorial work and peer review for journals including Learning Environments Research, Studies in Educational Evaluation, and Learning and Individual Differences. Their scholarly network includes collaborations with researchers across multiple institutions, particularly within the Dutch educational research community.

Nel de Jongمشاهده پروفایل

مدرس

• Second Language Acquisition
• Applied Linguistics
• Psycholinguistics
• +۴ مورد دیگر

Nel de Jong is a Lecturer at Vrije Universiteit Amsterdam's Faculty of Social Sciences and Humanities, affiliated with the Network Institute. She coordinates the Academic Language Programme for Dutch and teaches in teacher training programs for Dutch as a second language. Her research focuses on second language acquisition, psycholinguistics, oral fluency, task-based teaching methods, and vocabulary assessment. Professional roles include directorships at Stichting Les (since 2018) and De Jong Taaladvies (since 2020). She previously served as an Assistant Professor of Applied Linguistics, teaching courses like Psycholinguistics and Language Assessment in the Bachelor's and Master's programs. She has supervised PhD theses including Lisa Snakkers' 2017 study on vocabulary and Nadine Linger's 2018 work on vocabulary testing. Research interests span language learning mechanisms, particularly in syntax, vocabulary, and speaking skills. Key areas include the impact of teaching methods on language proficiency and the role of task repetition in fluency development. She has published widely on vocabulary testing instruments (e.g., WTN-Productief) and the effectiveness of instructional approaches like Processing Instruction. Notable achievements include the 2018 'NLS Online' grant for improving writing skills across disciplines. Her work emphasizes practical applications, such as developing online language support systems and standardized vocabulary assessments aligned with CEFR levels. Teaching contributions include revising educational materials for Dutch language courses and advising on academic writing across university programs. Her interdisciplinary collaborations involve projects like the Netherlands Urban Field Station, exploring language diversity's role in societal equity.

• Artificial Intelligence
• Robotics
• Knowledge Graphs
• +۴ مورد دیگر

Ilaria Tiddi is an Assistant Professor at the Faculty of Science, Department of Computer Science at Vrije Universiteit Amsterdam. She is also affiliated with the Network Institute and the Artificial Intelligence research group. Her work focuses on hybrid intelligence, knowledge graphs, robotic perception, and multi-agent systems. She contributes to the UN Sustainable Development Goals through her research in artificial intelligence and robotics. Her research interests include explainable AI, knowledge representation, robotic knowledge acquisition, and the integration of semantic technologies into robotic systems. She explores how knowledge graphs can enhance robotic perception and decision-making, particularly in dynamic environments. Recent work emphasizes shared understanding in open multi-agent systems and actionable knowledge extraction for robotic tasks. Dr. Tiddi has published extensively on topics like ontology design for robotics, data augmentation in reinforcement learning, and narrative-based societal understanding. Her articles highlight interdisciplinary approaches combining AI with fields like bioinformatics and urban studies. She teaches courses on artificial intelligence and semantic technologies, reflecting her commitment to advancing computational methods for complex problem-solving. Her datasets and software, such as the MUHAI Benchmark and story-generation frameworks, demonstrate her focus on practical applications of AI. Collaborations span international institutions, addressing challenges in robotic perception, ethical AI, and hybrid intelligence systems.

Sanne Kuijperمشاهده پروفایل

پژوهشگر

• Psychology
• Educational Psychology
• Developmental Linguistics
• +۳ مورد دیگر

Dr. Sanne Kuijper is a Researcher and Teacher at the University of Groningen, affiliated with the Faculty of Behavioural and Social Sciences and the Department of Orthopedagogy & Clinical Educational Science . She holds a PhD in Psychology and focuses on communication challenges in children with autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). Her research bridges developmental linguistics, educational psychology, and inclusive education strategies. She contributed to the Evaluatie Passend Onderwijs project, investigating student experiences with educational support systems. Her work has been published in journals like Frontiers in Psychology and European Journal of Special Needs Education . Education : Sanne Kuijper earned her PhD from the Center for Language and Cognition Groningen (CLCG), focusing on communication abilities in neurodiverse children. Her thesis explored how children with ASD and ADHD navigate linguistic tasks requiring perspective-taking and pragmatic reasoning. Research Interests : Her studies emphasize: Pragmatic language development in neurodiverse populations Inclusive education frameworks and student support systems Scalar implicature comprehension in children Connections between theory of mind, inhibition control, and language processing Grants & Projects : Member of the NRO-funded consortium for Evaluatie Passend Onderwijs (2015–2019) Contributor to NWO Vici project 'Asymmetries in Grammar' (CLCG) Labs/Teams : Active researcher within the CLCG and collaborates with educational consortia in Groningen. Her work often integrates experimental psychology, linguistic theory, and classroom-based interventions.

Mara van der Ploegمشاهده پروفایل

پژوهشگر

• Language Learning
• Applied Linguistics
• Phonetics
• +۵ مورد دیگر

Mara van der Ploeg is a researcher at the Faculty of Arts , affiliated with the Neurolinguistics and Language Development (NLD) group. Her work intersects applied linguistics, neurolinguistics, and gerontology, focusing on late-life language acquisition, cognitive benefits of education for seniors, and phonetic processing in multilingual contexts. Expertise in third-age language learning , plurilingual pedagogies , and speech intelligibility Active in English-medium instruction research and phonetic convergence studies Recipient of Gratama Grant and Prins Bernhard Cultuurfonds Grant (2019) Her recent publications emphasize autonomous learning in seniors, language instruction methodologies , and cognitive stimulation through education. Collaborations span institutions like the University of Florida and focus on implicit-explicit language learning frameworks. Notable contributions include: Studying formant adaptation in Dutch children (2023) Investigating alcohol's impact on pronunciation in L1 vs. L2 (2019) Proposing innovative pedagogical models for seniors (2019)

• Mathematics Education
• Intercultural Learning
• Teacher Training
• +۶ مورد دیگر

Monica Wijers is an Assistant Professor at the Faculty of Science , Utrecht University , specializing in Mathematics Education at the Freudenthal Institute. Her work focuses on intercultural learning, teacher professionalization, and innovative curriculum design for mathematics in secondary and vocational education. Positions: Assistant Professor, Graduate School of Teaching (GST) instructor Key projects: Wiskunde A-lympiade, RekenGroen modules, intercultural learning frameworks Contact: m.wijers@uu.nl , +31 6 81 835 971 Research Interests Monica integrates mathematics education with: Intercultural Competency Development Language-Integrated Mathematical Tasks Game-Based Learning Tools (RekenGroen, WiTje) Assessment Design for Collaborative Learning Professional Development for STEM Educators Curriculum Innovation for Vocational Education Publications Trends (2020-2023) Her recent work emphasizes collaborative problem-solving in mathematics through: Intercultural classroom activities Environmental sustainability contexts (waste management, urban heat) Language development in mathematical reasoning Team-based competitions (Wiskunde B-dag) Curriculum design for vocational mathematics Formative assessment strategies in MBO Teaching Activities Monica contributes to: Graduate School of Teaching programs National Mathematics Days (Nationale Rekendagen) Sprachbildung für das Mathematiklernen (Germany-Netherlands collaboration) Leveraging ratio tables across science disciplines

• Human-Computer Interaction
• Communication Studies
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Charlotte van Hooijdonk is an Assistant Professor at Utrecht University's Faculty of Humanities, specializing in Language and Communication within the Department of Languages, Literature and Communication. Her research focuses on human-AI interaction, digital communication strategies, and health information design. Research Focus: Her work bridges communication studies with technology, examining: Chatbot interaction design and conversational AI applications Health communication optimization (medication labels, patient information) Social media strategies for organizations and brands Visual/textual comprehension in digital environments Human-centered AI integration in customer service and public administration Publication Trends: Her 15 most recent articles (2021-2025) show strong emphasis on conversational AI design, chatbot-user interaction, and health communication. Earlier work (2005-2017) focused on multimodal learning, instructional design, and visual rhetoric. Methodologically, she employs mixed-methods approaches including content analysis, experimental studies, and user experience evaluation. Teaching and Service: Teaches courses in Communication and Information Sciences (BA) and Communication and Organization (MA) Covers topics including Academic Writing, Research Methodology, and Language Technology Skills include experimental design, corpus-based discourse analysis (SPSS/JASP), and survey research

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.

Yaoxin Wuمشاهده پروفایل

استادیار

• Deep Learning
• Combinatorial Optimization
• Integer Programming
• +۵ مورد دیگر

Yaoxin Wu is an Assistant Professor at the Eindhoven University of Technology, affiliated with the Department of Industrial Engineering and Innovation Sciences. His research bridges deep learning and combinatorial optimization to solve complex problems in transportation, scheduling, and network design. Education : PhD in Computer Science from Nanyang Technological University (2023). Wu specializes in artificial intelligence and operations research , focusing on graph neural networks, stochastic programming, and multi-objective optimization. His work has significant applications in UAV routing and on-demand delivery systems. His 2025 publications highlight trends in neural combinatorial optimization for stochastic job shop scheduling, ride-hailing, and drone logistics. Key subfields include deep reinforcement learning, preference modeling, and topological graph learning. He has supervised 9 students, including PhD candidates Xia Jiang and Igor Smite, and Master’s students like Venkata Roshan Mannepu and Floor Halkes. Wu's research is funded by projects like LEO (Holland High Tech | TKI HSTM) and SURF Cooperative grants. His educational activities include teaching Fundamentals of Algorithmic Programming and AI-Driven Business Operations , emphasizing data-driven methods for manufacturing processes.