جست‌وجوی استاد و پژوهشگر

• Data Stream Mining
• Data Cleaning
• Machine Learning Explainability
• +۷ مورد دیگر

Dr. A.A.A. Qahtan is an Assistant Professor in the Data Intensive Systems research group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His academic appointment focuses on advancing research and education in data-intensive computing with particular expertise in data stream mining, data cleaning, and explainability of machine learning techniques. Dr. Qahtan completed his PhD studies at KAUST (King Abdullah University of Science and Technology) under the supervision of Xiangliang Zhang and Soujin Wang. Prior to joining Utrecht University, he worked as a postdoc at QCRI (Qatar Computing Research Institute) where he developed pattern functional dependencies (PFDs) for data cleaning. His research spans several critical areas in data science: Data Stream Mining and Real-time Processing Data Cleaning and Quality Assessment Pattern Recognition and Functional Dependencies Outlier and Anomaly Detection Concept Drift Detection in Streaming Data Fairness in Machine Learning Systems Missing Data Imputation Techniques Dr. Qahtan's publication record demonstrates consistent contributions to top-tier venues including PVLDB, KDD, ICDE, and SIGMOD. His recent work shows a progression from foundational data cleaning techniques to advanced applications in categorical data analysis, fairness in AI, and cryptocurrency market analysis. His research bridges theoretical foundations with practical applications across multiple domains. Dr. Qahtan actively contributes to academic education at Utrecht University, teaching courses including Data Analytics, Data Science and Society, Data Wrangling and Data Analysis, and Databases across multiple academic years from 2019 to 2024.

• Service-Oriented Computing
• Business Process Management
• Scientific Workflows
• +۴ مورد دیگر

D. (Dimka) Karastoyanova is a Professor of Information Systems at the University of Groningen , Faculty of Science and Engineering, Computer Science Department. She leads the Information Systems Group and serves as vice-chair of the Bernoulli Institute Board since 2024. Previously, she was Head of the Computer Science Department (2020-2024) and a member of the Informatics Europe Board since 2023. Dimka's research focuses on data-driven, service-based process automation for cross-organizational collaboration, emphasizing runtime adaptability, security, and sustainability . Her work spans applications in manufacturing, logistics, healthcare, and eScience , integrating Scientific Workflows, Cloud Computing, and Middleware Systems to enhance process flexibility. Her scientific contributions include 15+ publications on topics like Choreography Lifecycle Management, BPEL Adaptation, and Cloud Migration Frameworks , reflecting her expertise in Service-Oriented Computing, Workflow Technologies, and Distributed Systems . She received the Rosalind Franklin Fellowship and has served on program committees for IEEE, ICWS, and BPM conferences . Dimka holds a PhD in Computer Science (TU Darmstadt, 2006), an MSc in Computational Engineering (University of Erlangen-Nuremberg), and MSc/BSc in Industrial Engineering (Technical University of Sofia). She previously held roles as Associate Professor of Data Science at KLU Hamburg and Senior Researcher at Hasso Plattner Institute, University of Potsdam.

• Healthcare Design
• Ergonomics
• Sustainable Medical Device Design
• +۴ مورد دیگر

A. Albayrak is a researcher at the Human Factors Department , College of Industrial Design Engineering , Delft University of Technology. Their work focuses on improving healthcare systems through user-centered design and sustainability initiatives, particularly in pediatric hematology and intensive care settings.

• Information Systems
• Information Technology
• Benefits Management
• +۴ مورد دیگر

Philip Powell serves as a Professor within the Innovation & Organisation department at the Faculty of Economics and Business. His academic focus spans information systems, technology management, and SME infrastructure development with significant contributions to benefits realization frameworks. Research expertise centers on Information Systems Practice , Benefits Management , and Cost-Benefit Analysis in engineering SMEs. Key investigations examine lifecycle cost management, online auction motivations, and infrastructure adoption challenges through practitioner-oriented field studies emphasizing methodological subjectivity and stakeholder alignment. Publication trends reveal consistent focus on bridging academic theory with practical implementation, particularly in resource-constrained environments. His work demonstrates strong interdisciplinary connections between information systems, organizational behavior, and engineering management. 31 Scopus citations for lifecycle benefits management research 19 citations for SME infrastructure studies 7 citations for online auction behavior analysis Active supervision includes PhD candidates in information systems implementation, with collaborative projects examining sustainable technology adoption in European engineering firms. Current research explores gendered metaphors in IT cost-benefit frameworks and longitudinal seller behavior in digital marketplaces.

Amineh Ghorbaniمشاهده پروفایل

دانشیار

• Institutional Analysis
• Climate Change Mitigation and Adaptation
• Collective Action
• +۵ مورد دیگر

Amineh Ghorbani serves as Associate Professor of Institutional Modelling and Analysis within the Systems Engineering group at Delft University of Technology's Faculty of Technology, Policy and Management. She maintains active affiliations with the Institutional Grammar Research Initiative, Institutions for Collective Action, and the Ostrom Workshop, demonstrating deep integration within institutional analysis networks. Her research centers on institutional transformation during climate change, specifically examining how collective action frameworks like community energy systems and urban commons enhance climate resilience. Methodologically pioneering, she developed the MAIA framework (Modelling Agent-systems using Institutional Analysis) and Institutional Network Analysis techniques to map interconnections between institutional structures. This work bridges computational modeling with qualitative social science approaches to address complex environmental challenges. Recent publications reveal consistent focus on energy transition governance (particularly hydrogen systems in the Netherlands), climate adaptation barriers in developing contexts (waste management in India), and value-driven modeling during crises (COVID-19 response). Her work consistently applies agent-based modeling and network analysis to dissect policy implementation challenges across diverse socio-technical systems. Scientific Awards: No specific awards were documented in the provided source material. Dr. Ghorbani has supervised 5 academic works according to her profile metrics, though specific advisee details remain undisclosed. Her research appears institutionally supported through Delft University affiliations and collaborative initiatives rather than individually attributed grants in the available documentation. She actively contributes to three major research collectives: the Institutional Grammar Research Initiative advancing analytical frameworks for institutional analysis; Institutions for Collective Action focusing on governance solutions for shared resources; and the Ostrom Workshop continuing Elinor Ostrom's legacy in studying self-governance systems for common-pool resources.

Roland Schmehlمشاهده پروفایل

دانشیار

• Wind Energy
• Aerospace Engineering
• Airborne Wind Energy Systems
• +۴ مورد دیگر

Roland Schmehl is an Associate Professor at the Department of Aerospace Engineering, Delft University of Technology (TU Delft). He is a founding member of Airborne Wind Europe (since 2019) and serves on the advisory board of Kitepower (since 2016). His work focuses on airborne wind energy (AWE) systems, including their application in Martian habitats, noise analysis, and aero-structural modeling. Key Research Areas: Wind energy innovation, aerospace engineering, Martian habitat power systems, and robotics-assisted design. The 15 most recent articles highlight his contributions to AWE system design, flight pattern optimization, noise annoyance studies, and extraterrestrial energy applications. His scientific awards include the 2021 Innovation stamps and the 2021 Rhizome project prize for off-Earth habitat development. Schmehl’s projects include MERIDIONAL (multi-scale wind farm design), Rhizome (autonomous Mars habitats), and EFRO (unmanned systems research). He has led editorial activities for journals like Wind Energy Science and Energies and participated in international conferences.

• Sustainable Healthcare
• Health
• Gerontechnology
• +۱۰ مورد دیگر

Dr. Susan van Hees is an Assistant Professor in Innovation Studies at the Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University. Her work bridges Science and Technology Studies with practical applications in health and ageing innovations. She actively contributes to both European (Horizon) and national research projects while teaching in bachelor's and master's programs. Van Hees specializes in sustainable healthcare, gerontechnology, and the social implications of artificial intelligence in ageing societies. Her research examines how innovations are developed, implemented, and given meaning by various stakeholders, particularly focusing on the communication gap between older citizens and technology developers. She employs both traditional qualitative methods and innovative co-creation approaches in her work, including developing research games to help participants articulate their stories. Her recent publications reveal a strong focus on the intersection of technology, ageing, and social dynamics, with particular attention to valuation practices in innovation, the implementation of medical technologies, and creating inclusive approaches to digital health. Her work spans from theoretical frameworks on ageing and place to practical applications in real-world settings like the GATEKEEPER and IDEA4RC projects. Actively involved in research communities WTMC and EASST Member of the Socio-Gerontechnology Network Track Coordinator for Life Sciences bachelor's program Coordinates Research Methods and Bachelor's Thesis courses Dr. van Hees provides thesis supervision for both bachelor's and master's students in Innovation Sciences and Sustainable Business & Innovation programs. Her educational background includes a PhD from Maastricht University and prior work as a postdoctoral researcher at Tilburg University, with academic training through BA and MA in Public Administration from Tilburg University.

Adriaan Kosterمشاهده پروفایل

پژوهشگر

• Energy Transition
• Serious Games
• Sustainable Development
• +۲ مورد دیگر

Adriaan Koster is a Researcher at the Energy & Resources department within the Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University. His role bridges academic research and software development, focusing on computational approaches to sustainability challenges in energy systems. His research interests center on: Energy Transition modeling through game-based simulations Integration of Artificial Intelligence in sustainable resource management Development of serious games for stakeholder engagement in sustainability Enterprise software solutions for geoscientific research Interdisciplinary applications of software engineering in environmental science With over two decades of professional experience since 2000, Koster applies his expertise as a senior Java developer to the "Game Research PtS - Energy in Transition" initiative. His technical background spans enterprise integration, web application development, and cross-sector implementations in finance, medical systems, mobility, and defense contexts. He emphasizes testable, maintainable code and transparent team processes in research-oriented software development.

• Educational Psychology
• Student Motivation
• Cultural Diversity in Education
• +۳ مورد دیگر

Lisette Hornstra is an Associate Professor in the Education Department at Utrecht University , Faculty of Social and Behavioural Sciences. Her research focuses on fostering student motivation , well-being , and academic achievement across diverse backgrounds and ability levels, with a strong emphasis on cultural and socioeconomic diversity , gifted education , and self-determination theory . 2020–present: Associate Professor, Utrecht University 2015–2020: University Lecturer, Utrecht University 2013–2015: Post-Doc Researcher, University of Amsterdam She has secured multiple NWO-funded grants , including a VIDI grant for the project Mind the Gap , and contributes to curriculum development through courses like International Perspectives on Education . Her recent publications analyze cognitive adaptive support , teacher expectations , and resilience in literacy , with a focus on educational equity and technology-enhanced learning . Scientific Awards: NWO VIDI grant for Mind the Gap Dr. Hornstra’s work bridges fundamental and applied research , addressing equal opportunities in education through projects like KLAS (Promising Teaching in All Schools) and KLIK (Promising Teaching: Interactions in the Classroom). She also examines developmental trajectories of high-ability students and interethnic dynamics in classrooms.

• Explainable AI
• Privacy-Preserving Machine Learning
• Medical Image Analysis
• +۶ مورد دیگر

Dr. W.J. (Wilson) dos Santos Silva is an Assistant Professor at the Faculty of Science , University of Utrecht, specializing in AI & Data Science and Biology . His research focuses on creating explainable and robust AI models for multimodal multi-centre medical data , with emphasis on privacy-preserving machine learning and out-of-distribution generalization . PhD in Electrical and Computer Engineering (2022), University of Porto Master's and Bachelor's in Electrical and Computer Engineering (2016), University of Porto Research Interests include: Explainable AI for medical decision-making transparency Privacy-Preserving Machine Learning in healthcare Multi-Centre Data Analysis across institutions Medical Imaging applications in oncology and neurology Recent Publications demonstrate expertise in: Medical image segmentation techniques Cross-modal learning approaches Federated learning for privacy Biomedical data interpretation Generalization in heterogeneous datasets Scientific Contributions include organizing the iMIMIC workshop at MICCAI 2024 and mentoring students receiving competitive awards. Students & Collaborators : PhD Candidates: Valentina Corbetta, Daan Boeke, Miriam Cobo, Aniek Eijpe, Jan van Eck Postdoctoral Researchers: Soufyan Lakbir Former Students: Tingyang Jiao, Laura Latorre, Filipe Campos, etc. Laboratory develops AI solutions for medical imaging , multi-centre collaboration , and ethical AI in healthcare contexts.

• Artificial Intelligence
• Multi-Agent Systems
• Norm Enforcement
• +۳ مورد دیگر

Bas Testerink is a Researcher at the Faculty of Science , Utrecht University , focusing on Responsible AI . He works in the AI & Data Science subtheme with research interests in Human-centered Artificial Intelligence and Applied Data Science . Email: b.j.g.testerink@uu.nl Office: Minnaert Building, Leuvenlaan 4, Room 304, Utrecht His research explores Norm Enforcement in distributed systems, Multi-Agent System design, and Runtime Verification mechanisms. Key projects include AI-assisted message processing for police and Norm-based traffic control systems . Recent publications highlight his work on Argumentation-based Inquiry (2022) and Collaborative Monitoring (2016). He also investigates Security Threats in collaborative verification and Organizational Replication through inheritance models. He contributes to: Autonomous Vehicles regulation Crime Analysis through AI Peer-to-Peer Argumentation frameworks His work appears in venues like PRIMA , ECAI , and AAMAS .

• Information Visualization
• Augmented Reality
• Human-Computer Interaction
• +۲ مورد دیگر

Boyu Xu is a researcher at Utrecht University 's Faculty of Science , affiliated with the Department of Information and Computing Sciences and the Visualization and Graphics group. Her work bridges Information Visualization , Augmented Reality (AR) , and Neuroscience Data Analysis , focusing on tools for exploring scientific literature. She developed the DatAR project, which enables neurologists to analyze connections between brain regions and diseases from over 400,000 PubMed publications. Her research also explores how Generative AI can enhance creative processes in visual art and design. Prior to her PhD, she worked on graphic design , game design , and commercial AR applications , with a portfolio at xuboyumedia.com . Her publications (2024–2025) at conferences like MultiMedia Modeling and CHIIR emphasize AR-based research methodologies , interactive neuroscience tools , and timeline visualization for mapping indirect-to-direct relationships in scientific data. She collaborates with supervisors Prof. Lynda Hardman and Dr. Wolfgang Hürst , but no formal advising roles or scientific awards are listed.

• Exposome
• Exposure Assessment
• Air Quality
• +۵ مورد دیگر

Dr. Kees de Hoogh is an Assistant Professor and Researcher at Utrecht University's Faculty of Veterinary Medicine, Department of Population Health Sciences, and the Institute for Risk Assessment Sciences (IRAS). He holds a joint appointment as Assistant Professor at the Swiss Tropical and Public Health Institute in Basel. His research focuses on spatial modeling and exposure assessment for environmental health studies, with specialization in exposome research and air pollution analysis. Primary research interests include: Advanced spatio-temporal modeling techniques using satellite data Exposome studies linking environmental exposures to health outcomes Air pollution exposure assessment methodologies Geographic Information Systems (GIS) applications in public health His recent publications demonstrate a strong focus on air pollution modeling, exposure assessment methods, and environmental health impacts across European populations. Research consistently explores the relationships between environmental factors (air quality, green space, temperature) and health outcomes including metabolic disorders, respiratory diseases, dementia, and stroke. Dr. de Hoogh leads significant research initiatives: Co-Principal Investigator of EXPANSE (European project) Co-PI of NWO Gravitation programme Exposome-NL Co-PI of Utrecht Exposome Hub Principal Investigator of MOBI-AIR studies Contributor to BioSHARE, ESCAPE, and ELAPSE projects He works within the Institute for Risk Assessment Sciences (IRAS) and collaborates through the Utrecht Exposome Hub, focusing on interdisciplinary approaches to environmental health challenges.

• Behavioural Ecology
• Animal Behaviour
• Social Behaviour
• +۳ مورد دیگر

Chris Tyson is a Research Associate in Behavioural Ecology at Wageningen University & Research, actively contributing to animal behavior research with emphasis on avian social systems, reproductive strategies, and technological applications in wildlife tracking. Current affiliations include co-promotion of PhD projects on great tit social strategies and zebra finch vocal communication. Research interests focus on: Behavioural Ecology and social organization in birds Pair bonding dynamics and reproductive success Technological integration in ecological monitoring Recent publications (2024-2025) reveal consistent investigation into collective behavior evolution, spatial cohesion in avian pairs, and sensor-driven wildlife ecology. Key thematic threads include predation's role in social evolution, mate familiarity effects on parental specialization, and computational advances for real-time behavioral data analysis across zebra finch and Cassin's auklet studies. Tyson co-supervises PhD candidates Vinyeta Cortada, C. (researching great tit social strategies) and Tschirren, N. (investigating zebra finch vocal communication), with active collaboration across Wageningen's animal monitoring networks. Current projects involve developing tracking methodologies for wild bird populations and analyzing social network determinants in captive and field settings.

• Artificial Intelligence
• Remote Sensing
• Earth Observation
• +۵ مورد دیگر

Annisa Puspa Kirana is a Ph.D. candidate and researcher at the Department of Geo-information Processing (ITC-GIP), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. She is a Lecturer in the Department of Information Technology at State Polytechnic of Malang, currently on study leave to focus on her Ph.D. research. Her work integrates Artificial Intelligence , Computer Vision , and Geospatial Analytics to analyze satellite/aerial imagery for Climate Change Mitigation , Disaster Monitoring , and Resource Management . PhD in Geo-Information Science @ University of Twente (Netherlands) Master of Computer Science @ IPB University (Indonesia) Her research emphasizes Deep Learning applications in Earth Observation, including Vision-Language Models and Agentic AI for multimodal data analysis. She collaborates with interdisciplinary teams , government agencies , and industry partners . Selected Publications Trends: Focus on AI agents , LLMs , VLMs , and Vision Transformers for geospatial and environmental applications Technical tutorials on Streamlit , TalkToEBM , and LangChain integration Conceptual breakdowns of agentic vs. agent-based systems , interpretability in AI , and prompt engineering Scientific Awards: LPDP Awardee (Indonesian Endowment Fund for Education) Microsoft Certified Educator She actively mentors students in AI/geospatial fields and advocates for open-source science and ethical AI practices in environmental decision-making. Her work bridges academic research and practical policy tools .