جست‌وجوی استاد و پژوهشگر

Yanja Dajsurenمشاهده پروفایل

استادیار

• Software Architecture
• Model-Driven Development
• Component-Based Software Engineering
• +۶ مورد دیگر

Yanja Dajsuren is an Assistant Professor and Program Director of the PDEng Software Technology program at Eindhoven University of Technology's Department of Mathematics and Computer Science. Her work bridges academic research and industry applications in software engineering and mobility systems. Education: PhD in Computer Science (2015), TU/e PDEng in Software Technology (2005), TU/e MBA (2002), Maastricht School of Management Research Focus: Yanja specializes in software architecture for autonomous and cooperative driving systems, with a focus on model-driven development, functional safety, and system modularity. Her work contributes to Cooperative Intelligent Transport Systems (C-ITS) and aligns with UN Sustainable Development Goals related to smart cities and innovation. Projects: Current projects include i-CAVE (Project #6) and Horizon 2020 C-MobILE, addressing challenges in automotive software integration and cooperative driving systems. Past projects at Philips Research, NXP Semiconductors, and CWI demonstrate her long-term expertise in industrial software development. Academic Contributions: She co-founded the International Workshop on Automotive Software Architectures (WASA) and launched the Journal of Automotive Software Engineering (JASE). Her collaborations span academia and industry, including partnerships with ASML, Philips Hue, and international research teams.

Bert de Vriesمشاهده پروفایل

استاد

• Bayesian Machine Learning
• Signal Processing
• Biomedical Applications
• +۳ مورد دیگر

Bert de Vries is a Professor at the Signal Processing Systems Group at Eindhoven University of Technology (TU/e), where he has been employed since January 2012. He maintains a dual career, also working at GN Hearing in the hearing aids industry since April 1999, where he holds both research and managerial roles. His academic journey began at TU/e, where he earned his MSc in Electrical Engineering in 1986, followed by a PhD from the University of Florida in 1991. Between 1992 and 1999, he worked at Sarnoff Research Center in Princeton, NJ, contributing to diverse signal and image processing projects. Professor de Vries's research centers on Bayesian Machine Learning, with particular focus on the Free Energy Principle and its applications to engineering problems. His work bridges theoretical neuroscience with practical signal processing systems, especially in biomedical applications. He directs the BIASlab research team at TU/e, which develops probabilistic programming tools including RxInfer.jl, ForneyLab.jl, GraphPPL.jl, ReactiveMP.jl, and Rocket.jl. His research spans active inference, variational message passing, probabilistic programming, and Bayesian neural networks, with applications ranging from hearing aids to multi-agent systems. Analysis of his recent publications reveals a strong trend toward practical implementations of Bayesian inference frameworks, particularly through Julia-based probabilistic programming tools. His work shows increasing focus on active inference applications, message passing algorithms, and the intersection of Riemannian geometry with probabilistic modeling. The research demonstrates consistent progression from theoretical foundations toward real-world engineering applications, particularly in biomedical signal processing and autonomous systems. Professor de Vries teaches a graduate-level course on Bayesian Machine Learning at TU/e and actively contributes to open-source software development through his GitHub profile (bertdv), with recent activity as recent as August 2025. His research team has developed several influential probabilistic programming libraries that have gained significant attention in the machine learning community. The BIASlab research group continues to advance the state of the art in Bayesian inference methods with applications in hearing technology, robotics, and signal processing.

Wan Fokkinkمشاهده پروفایل

استاد

• Distributed Systems
• Formal Analysis of Protocols
• Concurrency Theory
• +۳ مورد دیگر

Prof. Wan Fokkink is a Full Professor in Theoretical Computer Science at Vrije Universiteit Amsterdam (VU) and holds a part-time position as Professor of Model-Based System Engineering at Eindhoven University of Technology (TU/e). His research focuses on distributed systems, formal analysis of protocols, and supervisory control synthesis. He leads the Theoretical Computer Science group at VU and has authored three influential textbooks: Introduction to Process Algebra , Modelling Distributed Systems , and Distributed Algorithms: An Intuitive Approach . Education: MSc in Mathematics (University of Amsterdam, 1990) and PhD in Computer Science (University of Amsterdam, 1994). Postdoctoral work at Utrecht University and lectureship at Swansea University preceded his leadership roles at CWI (2001–2004) and VU (since 2004). Teaching includes courses on logic, concurrency, and distributed algorithms. He is editor of Logical Methods in Computer Science and co-founder of the Electronic Proceedings in Theoretical Computer Science . Active in professional organizations: co-founder of IFIP WG 1.8 (Concurrency Theory) and steering committee member of the CONCUR conference. Research interests span formal verification, concurrency theory, and practical applications of supervisory control in engineering systems (e.g., traffic management, ship locks). His work aligns with sustainable development goals through contributions to reliable system design and optimization. Recent articles explore model-based specification, distributed control under communication delays, and tools like Eclipse ESCET for supervisory control synthesis. Collaborations span international teams in Europe and beyond.

• Geographic Information Systems (GIS)
• Urban Planning
• Land Administration
• +۵ مورد دیگر

Andre Da Silva Mano is a Lecturer at the University of Twente, affiliated with the Department of Urban and Regional Planning and Geo-Information Management and the Digital Society Institute. His academic roles include teaching and research in geographic information systems (GIS), urban planning, and land administration. He holds a position in the Faculty of Geo-Information Science and Earth Observation, focusing on integrating open-source technologies and sustainable development frameworks. His research expertise spans land administration systems (LADM), open-source GIS applications, and spatial data infrastructure. Notable projects include developing educational datasets for teaching LADM standards (ISO 19512) and creating open courseware for GIS and remote sensing education. He has collaborated internationally on initiatives such as IDeaMapSudan, which models urban poverty through geospatial data, and the Spatial Development Framework (SDF) tools for policy implementation. Recent work includes studies on mitigating urban heat islands using 3D digital twins, geospatial modeling for humanitarian response, and paleontological collection management using open-source tools. He actively promotes open science principles, as reflected in ITC’s strategic plan and his advocacy for open-source software as an ethical practice. Key contributions also involve frameworks for responsible land reallocation in customary settings and child-centered urban planning methodologies. Activities: Delivered invited talks on open-source software philosophy and presented research at conferences like the International Federation of Surveyors (FIG). Datasets: Creator of open-access resources like 'andremano/online-core' and 'GIS-4-Land-Administration' available on Zenodo. Labs/Teams: Engaged with interdisciplinary teams in urban resilience, digital humanities, and geospatial education initiatives.

Justus Bognerمشاهده پروفایل

استادیار

• Microservices
• Artificial Intelligence
• Software Engineering
• +۳ مورد دیگر

Justus Bogner is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Software and Sustainability (S2) department and the Network Institute. His research focuses on microservices architecture, AI/ML system sustainability, and software engineering practices. He teaches courses like Service Oriented Design and Software Design. Research Interests: Bogner’s work explores the intersection of AI and sustainable software engineering, including energy-efficient microservices, explainable AI (XAI), and MLOps architectures. He emphasizes empirical studies, systematic mappings, and controlled experiments to address challenges in software quality, design patterns, and trade-offs between performance and environmental impact. Awards: Best Presentation Award (2021) Distinguished Artifact Award (2024) Distinguished Artifact Award (2024) Distinguished Paper Award (2024) Grants/Advising: His work has been supported by grants focusing on empirical software engineering and sustainable AI. He collaborates on datasets analyzing technical debt in AI systems and green AI practices.

Irene Manzellaمشاهده پروفایل

دانشیار

• Geophysics
• Volcanology
• Landslide Dynamics
• +۳ مورد دیگر

Dr. Irene Manzella is an Associate Professor in the Department of Applied Earth Sciences at the University of Twente. Her research focuses on landslide dynamics, volcanic processes, and granular flow mechanics with applications to natural hazard mitigation. She specializes in experimental geophysics, combining field observations, laboratory simulations, and numerical modeling to understand mass wasting phenomena. Key research areas include debris avalanche propagation mechanisms, sedimentological analysis of volcanic deposits, and the role of particle concentration in gravitational instabilities within volcanic clouds. Manzella's work integrates smart sensor technologies for real-time landslide monitoring and develops innovative methods for disaster impact assessment, such as multi-hazard dashboards and EO-based risk frameworks. Her collaborative projects involve creating flood and earthquake hazard maps for Dominica, developing immersive visualizations for scientific communication, and organizing conferences like the NEEDS conference 2023. Manzella contributes to open-source tools like Python workflows for satellite data processing and has published over 35 peer-reviewed articles in journals like Geomorphology and Frontiers in Earth Science . Recent work emphasizes bidisperse granular flows' scale-dependent behavior, smart sensor applications for tracking debris movement, and improving volcanic hazard predictions through experimental validation of ash cloud dynamics. Her research bridges engineering, geology, and computer science to enhance disaster resilience strategies globally.

Jeroen van der Ham de Vosمشاهده پروفایل

دانشیار

• Cybersecurity
• Vulnerability Disclosure
• Data Sharing
• +۳ مورد دیگر

Jeroen van der Ham de Vos is an Associate Professor at the Design and Analysis of Communication Systems department, affiliated with the Digital Society Institute. He also serves as a Guest Researcher at the National Cyber Security Centre (NCSC-NL). His research focuses on cybersecurity, vulnerability disclosure processes, and network security mechanisms, contributing to UN Sustainable Development Goals related to digital security. His work spans theoretical frameworks and practical implementations, including threat analysis of critical infrastructure (e.g., BGP protocols), vulnerability management strategies, and cybersecurity policy development. He has contributed to special issues on incident response and cybersecurity ethics, emphasizing the intersection of technical solutions and societal impacts. Recent publications highlight trends in coordinated vulnerability disclosure challenges, empirical cybersecurity investment decisions, and the analysis of emerging threats like residential proxies and commercial VPNs. His research bridges academic rigor with real-world applications, often involving collaborative efforts across institutions and government bodies.

Kristina Irionمشاهده پروفایل

استاد

• Digital Law
• Data Protection
• EU Regulatory Frameworks
• +۵ مورد دیگر

Dr. Kristina Irion is a prominent legal scholar and academic leader specializing in digital and data law at the University of Amsterdam’s Amsterdam Law School. As Head of Studies for Law at PPLE and Director of the Academic Excellence Track (AcET), she focuses on integrating interdisciplinary approaches to legal education and research. Her career spans academia, policy advising, and regulatory practice in areas like EU data governance, digital trade, and media regulation. Dr. Irion holds a LL.M. in IT & Telecommunications Law and a Dr. iuris from Martin Luther University, Halle-Wittenberg. She has held fellowships with the European Commission, the Electronic Privacy Information Center, and Berlin’s Data Protection Authority. Her research emphasizes evolving legal frameworks around artificial intelligence, privacy, and the interplay between trade law and digital rights. Her work frequently addresses global challenges such as data sovereignty, algorithmic accountability, and the governance of cross-border data flows. She advises major institutions including the European Commission, OECD, and Council of Europe on digital policy. Dr. Irion teaches courses on technology governance and co-leads the Advanced Master in Technology Governance program. Her publications (15 most recent shown) explore topics ranging from AI regulation under EU trade frameworks to privacy implications in digital trade agreements. While no formal awards are listed, her extensive policy contributions reflect her leadership in shaping digital legal landscapes.

Nan Yangمشاهده پروفایل

پژوهشگر

• Software Engineering
• Embedded Systems
• Log Analysis
• +۲ مورد دیگر

Nan Yang is a University Researcher in the Mathematics and Computer Science department at Eindhoven University of Technology, specializing in empirical software engineering with focus on embedded systems and log analysis methodologies. Her work bridges theoretical models with industrial software development practices through collaborations with leading technology companies. Her research expertise centers on Software Engineering , Embedded Systems , and Log Analysis , employing rigorous empirical methods including developer interviews and case studies. She investigates how execution logs are utilized in real-world embedded software engineering contexts, developing model-driven approaches for protocol inference and system maintenance. Her work reveals critical insights into developer workflows and industrial software practices. Analysis of her publication record (2018-2023) demonstrates a progressive research trajectory from foundational protocol inference techniques to comprehensive embedded systems engineering frameworks. Her work consistently integrates log analysis with model-driven approaches, yielding practical tools for software maintenance in resource-constrained environments. This research has significant implications for improving reliability in industrial embedded software development. Nan Yang has supervised academic work as evidenced by her documented supervised projects, contributing to the development of next-generation software engineering researchers.

Andreas Alfonsمشاهده پروفایل

دانشیار

• Statistics
• Machine Learning
• Psychometrics
• +۳ مورد دیگر

Dr. Andreas Alfons is an Associate Professor in the Department of Econometrics at Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on robust statistical methods, machine learning, psychometrics, and software development for high-dimensional data. He leads the NWO Vidi project on robust analysis of rating-scale data and contributes to the interdisciplinary project on digital decision support. He is an editor for the Journal of Statistical Software and Journal of Data Science, Statistics, and Visualization. His research interests include robust statistical learning, high-dimensional data analysis, and open science practices. Key contributions include R packages like robmed , robustHD , and simFrame . Recent work addresses careless responding in surveys and robust mediation analysis. Publications span journals such as Computational Statistics & Data Analysis , Econometrics and Statistics , and Journal of Statistical Software . His work emphasizes reproducibility and software tools for statistical analysis.

• Pediatrics
• Neurocritical Care
• Pediatric Cardiac Arrest
• +۷ مورد دیگر

Dr. Maayke Hunfeld is a researcher in the Department of Neurology at Erasmus MC, Rotterdam, specializing in pediatric neurocritical care. Her work focuses on improving outcomes for children after cardiac arrest, particularly through advanced neuroimaging and neurophysiological monitoring techniques. Her research interests span several interconnected domains: Pediatric cardiac arrest and resuscitation science Neurological prognostication using MRI and EEG Application of machine learning in predicting survival and recovery Long-term outcomes in pediatric neurocritical conditions such as traumatic brain injury and submersion injuries Development and validation of clinical prognostication guidelines The recent publications highlight a strong trend toward data-driven approaches in pediatric neurology, combining large observational datasets with advanced analytical methods. A significant portion of her work contributes to national and international efforts in standardizing care and outcome prediction in pediatric intensive care settings. Scientific contributions include: Co-leading studies in the PROGNOSE Group Collaborative Investigators Contributing to the development of a Dutch nationwide pediatric cardiac arrest registry Advancing neuromonitoring algorithms for traumatic brain injury Pioneering use of quantitative EEG with machine learning for survival prediction Dr. Hunfeld actively collaborates with multidisciplinary teams across Erasmus MC and national institutions, contributing to high-impact research in pediatric neurology and critical care. She has co-authored numerous peer-reviewed articles and doctoral theses, indicating active involvement in research training and academic mentorship. Her work is frequently published in leading journals such as Neurology , Pediatric Neurology , and Resuscitation Plus , and she is associated with open-access and data-sharing initiatives.

• Psychopathology
• Posttraumatic Stress Disorder
• Systematic Reviews
• +۶ مورد دیگر

Bruno Messina Coimbra is a Researcher at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Methodology and Statistics. He collaborates with Professor Rens van de Schoot on the development of ASReview and leads the FORAS project (Fully Open-source and Real-time AI-aided Systematic Literature Screening in Inclusive Databases). His work bridges methodology, statistics, and mental health research with a particular focus on trauma and PTSD. Dr. Coimbra holds a doctoral degree in Psychiatry and Medical Psychology. Previously, he served as research manager in the Program of Research and Care on Violence and PTSD at the Federal University of São Paulo (UNIFESP), where he investigated trauma effects on neuroprogression and adapted psychotherapeutic techniques for sexual assault survivors. His professional background includes extensive work with marginalized communities in disadvantaged regions of São Paulo. His research interests center on psychopathology, particularly Posttraumatic Stress Disorder (PTSD), with expertise in systematic reviews, meta-analysis, and telomere research as a biological mechanism for health disparities related to psychosocial stressors. He has made significant contributions to understanding moral injury among healthcare workers during the pandemic, the relationship between tonic immobility and PTSD development, and the impact of racial discrimination on mental health outcomes. His recent work integrates artificial intelligence with systematic review methodology to enhance research efficiency. Dr. Coimbra's publication record demonstrates a consistent focus on trauma-related mental health, with recent work expanding into AI-assisted literature screening methodologies. His research spans clinical investigations with sexual assault survivors, cross-cultural validation of assessment tools, genetic and epigenetic factors in PTSD, and the mental health impacts of the COVID-19 pandemic. The FORAS project represents his commitment to developing open-source tools that democratize access to advanced research methodology. Dr. Coimbra actively collaborates across international boundaries, working with institutions including RadboudUMC, UNIFESP, Umeå University, and NorthWest University in South Africa. His work with the Global Collaboration on Traumatic Stress and projects examining moral injury in healthcare workers demonstrates his commitment to addressing pressing mental health challenges on a global scale. He has contributed significantly to validating assessment tools like the Global Psychotrauma Screen in diverse populations. Based at the Sjoerd Groenman Building at Utrecht University, Dr. Coimbra leads research teams focused on AI-assisted systematic reviews and trauma research. His FORAS project team is developing innovative open-source tools to enhance literature screening processes, while his clinical research teams continue to investigate PTSD trajectories and treatment outcomes, particularly among vulnerable populations including sexual assault survivors and healthcare workers.

• Wave Energy
• Offshore Engineering
• Hydrodynamics
• +۳ مورد دیگر

V. Raghavan is a researcher in the Department of Offshore Engineering within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. His work focuses on renewable energy systems, particularly wave energy conversion and offshore structures, utilizing advanced computational hydrodynamics methods for marine applications. Raghavan's research spans Wave Energy, Offshore Engineering, Hydrodynamics, Renewable Energy, Ocean Structures, and Boundary Element Method. He develops and validates numerical models for wave energy converters, emphasizing practical implementation in marine renewable energy projects through open-source tools like HAMS-MREL. Recent 2025 publications reveal strong trends in wave energy converter array optimization using data-driven techniques, experimental validation of time-domain simulations, and hydrodynamic analysis of mixed energy farms. Key focus areas include boundary element method applications, power production estimation under varying wave spectra, and comparative evaluations of linear versus weakly nonlinear models for dense arrays. No scientific awards were documented in the available information. Information regarding student advising or research grants was not provided in the source material. Raghavan contributes to the Marine Renewable Energies Lab, where he co-developed the Hydrodynamic Analysis of Marine Structures (HAMS-MREL) open-source software platform. This tool supports offshore energy applications through boundary integral equation method solvers and is central to his research on wave energy converter validation and array configuration studies.

Hugo Ledouxمشاهده پروفایل

پژوهشگر

• 3D Geoinformation
• Urban Data Science
• Remote Sensing
• +۳ مورد دیگر

Hugo Ledoux is an academic affiliated with the Faculty of Architecture and the Built Environment at Delft University of Technology, specializing in Urban Data Science. His research focuses on 3D geospatial modeling, including CityGML standards, terrain analysis, and automated reconstruction of urban structures. He has contributed to projects like the DeltaDTM coastal terrain model and the cjdb database solution for CityGML. Education: Not explicitly detailed in text, but inferred through academic roles and publications. Research interests emphasize 3D geoinformation systems, remote sensing applications, and urban data science. His work addresses challenges in 3D city models, building reconstruction, and geospatial validation tools like Val3dity. Recent efforts include improving global terrain models using ICESat-2 and GEDI lidar data. Publications span automated building reconstruction workflows, terrain accuracy assessments, and semantic-guided facade modeling. Awards include the Best Presentation at 3DGeoInfo 2020 and the U.V. Helava Award for Best Paper in 2011. Ledoux has supervised 4 academic works and actively participates in conferences, editorial activities, and open-source software development for geospatial applications. Labs/Teams: Involved in TU Delft’s 3D geoinformation research, contributing to tools like 3dfier and CityJSON for 3D data interoperability.

Mauricio Garnier Villarrealمشاهده پروفایل

استادیار

• Latent Variable Models
• Bayesian Statistics
• Social Inequality
• +۳ مورد دیگر

Dr. Mauricio Garnier Villarreal is an Assistant Professor at the Faculty of Social Sciences, Department of Sociology, and a member of the Social Inequality and the Life Course (SILC) research group at Vrije Universiteit Amsterdam. His work focuses on developing and testing data analysis methods, particularly latent variable models and Bayesian inference, with applications in sociology, education, nursing, and psychology. He emphasizes open science practices, contributing to R packages and sharing materials on GitHub and OSF. Research interests include methodological advancements in latent variable models (SEM, IRT, mixture models), Bayesian statistics, and their application to social inequality, especially intersectionality theory. Collaborations span aging, special education, and health sciences. He leads or participates in projects like DYNANSE (ERC grant) and COMBINE, addressing non-standard employment dynamics and latent variable methodologies. Recent articles explore measurement error impacts on clustering, hidden Markov models for employment mobility, and Bayesian SEM model evaluation. His work bridges methodological innovation with applied research to address societal issues.