جستجوی استاد راهنمای دانشگاهی

• Food systems
• Food Security
• Sustainable Food Systems
• +۵ مورد دیگر

Siemen van Berkum is a Researcher in International Policy at Wageningen Social & Economic Research, part of Wageningen University & Research. His work focuses on food systems, trade policy, and international development, with a particular emphasis on the intersection between food security and economic policy. Dr. van Berkum's research interests span several critical areas in food systems studies: Food systems and food security Sustainable food systems development Nutrition and food production Informal sector economics in food markets International trade policy, particularly EU trade agreements Food market dynamics and price stability His recent publications demonstrate a strong focus on the impacts of international trade agreements on food systems and economies, particularly examining the EU-Mercosur agreement's effects on the Dutch economy. His work also explores how midstream actors in the informal economy can enhance food system outcomes and the trade-offs between food and cash assistance for agricultural production. These publications reflect a multidisciplinary approach that bridges economics, food security, and policy analysis. Dr. van Berkum has contributed to public discourse through media appearances discussing food systems issues, including commentary on the EU-Mercosur agreement, food crises as price crises, and geopolitical implications for food security. His research activities include presenting at conferences and workshops on food systems resilience and sustainability. He leads multiple research projects at Wageningen, including: Verschuiven productiezones (Shifting production zones) - ongoing through 2026 Global Food Systems Index - ongoing through 2025 EU-Mercosur trade agreement update Development of Food System Maps for 2100

• Data Provenance
• Intelligent Systems
• Knowledge Graphs
• +۴ مورد دیگر

Prof. Dr. Paul Groth is a faculty member at the Informatics Institute within the Faculty of Science at the University of Amsterdam . He leads the Intelligent Data Engineering Lab (INDElab) and collaborates extensively with institutions like the Vrije Universiteit Amsterdam and Elsevier Labs . His research focuses on data provenance , knowledge graphs , and machine learning systems with emphasis on reproducibility and semantic integration. Research Interests include Data Provenance and Traceability Knowledge Graph Construction & Evolution Neurosymbolic AI Systems Graph Learning & Semantic Web Technologies Digital Twins & Ontology Design Article Trends reveal a 2025 focus on LLM-knowledge graph intersections , emergent data patterns , and hyperbolic embedding architectures . His work addresses challenges in data distribution shifts , entity matching , and graph neural network explanations , while maintaining a strong foundation in FAIR data principles and provenance tracking . Secondary Activities include co-founding longform.ai , serving as co-editor for Morgan & Claypool , and contributing to international conferences like ESWC and ISWC . His research receives funding from European Union , NSF , NWO , and industry partners such as Weaviate and Ahold Delhaize .

• Pharmaceutical Science
• Pulmonary Drug Delivery
• Biopharmaceutics
• +۳ مورد دیگر

Anne de Boer (A.H. de Boer) is a Researcher at the Faculty of Science and Engineering , University of Groningen , affiliated with the Pharmaceutical Technology and Biopharmacy department. She contributes to interdisciplinary research spanning Pharmaceutical Science , Respiratory Medicine , and Environmental Toxicology . Her research focuses on dry powder inhalers , pulmonary drug delivery , and inhalation device development . Recent work includes studies on the environmental impact of inhalers and behavioral ecology in dung beetles . Scientific contributions include 133+ publications and the Wubbo Ockels Prize (2010) . She collaborates on pulmonary drug delivery projects and has supervised 4+ research works.

Kaspar Jansenمشاهده پروفایل

استاد

• Smart Materials
• Smart Textiles
• Electronics Textiles
• +۳ مورد دیگر

Kaspar Jansen is a Professor at the College of Industrial Design Engineering, Delft University of Technology, specializing in Emerging Materials. His research bridges smart materials with applications in health, sports, and aerospace technologies. Core research areas: Smart Textiles, Soft Sensors, and Lunar Habitat Materials Key collaborations: TU Delft, 4TU.ResearchData Recent publications focus on: Medical Engineering: Patient-specific aorta replicas for hemodynamic analysis Space Systems: Rigidizable inflatable structures for lunar habitats Textile Electronics: Ladder-type heater current distribution models His work combines experimental validation with computational modeling across disciplines, including geomechanics and reservoir engineering. Activities include presentations on polymer film characterization, fault slip simulation, and seismicity mitigation.

Jingmeng Cuiمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Dynamic Systems Theory
• Bifurcation Analysis
• +۴ مورد دیگر

Jingmeng Cui is a researcher at the University of Groningen's Faculty of Behavioural and Social Sciences, specializing in Developmental and Behavioural Disorders in Education and Care: Assessment and Intervention. With expertise spanning clinical psychology and dynamic systems theory, Cui's work bridges theoretical frameworks with practical applications in mental health research. Cui's research interests focus on applying complex dynamic systems perspectives to clinical psychology, particularly examining early warning signals, bifurcation points, and transitions in mental health conditions. Their work integrates computational modeling with intensive longitudinal data analysis to understand nonlinear dynamics in psychological processes. Key areas include potential landscape construction for psychological models, multistability detection, and the application of bifurcation theory to clinical change. Recent publications demonstrate a strong focus on methodological innovation, with articles appearing in journals such as BMC Psychiatry, Journal of Psychopathology and Clinical Science, Multivariate Behavioral Research, and Psychological Methods. Cui's research has garnered attention across multiple platforms, with mentions in news outlets, blog posts, and social media discussions, indicating growing impact in the field. Cui has established productive collaborations with researchers including Olthof, M., Hasselman, F., Lichtwarck-Aschoff, A., Pei, M., Su, Y., and Li, T., reflecting an interdisciplinary approach that combines psychological theory with advanced computational methods.

Floske Spieksmaمشاهده پروفایل

دانشیار

• Operations Research
• Stochastic Processes
• Decision Theory
• +۴ مورد دیگر

Floske Spieksma is an Associate Professor at the Mathematical Institute (Probability Theory) of Leiden University , where she has worked since 1985 in various roles including PhD researcher, Postdoc, Assistant Professor, and Associate Professor. Her research focuses on Stochastic Processes , Markov Decision Processes , and Operations Research , particularly in Queueing Theory and Network Optimization . She has supervised multiple PhD students including Herman Blok and Laurens Smit and co-organized international workshops. Education : PhD in Mathematics (1990), Leiden University MSc (cum laude) in Mathematics (1985), Leiden BSc in Mathematics (1981), Leiden BA in Spanish (1981), Leiden Research Trends : Her recent publications analyze unbounded jump rate Markov processes , graph resistance metrics , and stochastic decision frameworks . Key collaborations include work with M.N. Katehakis, L. Smit, and H. Blok. Scientific Awards : KNAW 5-year fellowship (1993) C.J.Kok prize (1991) Shell travel grant (1991) Two book grants (1984) Advising : Supervises PhD students and research projects, with past advisees including Herman Blok and Laurens Smit. Organized the H.E.T. Symposium (2012) connecting students with alumni in industry.

Luís Ferreira Piresمشاهده پروفایل

دانشیار

• Distributed Systems
• Model-Driven Engineering
• Service-Oriented Architecture
• +۳ مورد دیگر

Luís Ferreira Pires is an Associate Professor at the University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Department of Computer Science, and a member of the Semantics, Cybersecurity & Services (SCS) research group. Education: B.Sc. in Electronics from Instituto Tecnológico de Aeronáutica (São José dos Campos, Brazil), 1983 M.Sc. in Electrical Engineering (Computer Networks specialisation) from Escola Politécnica da Universidade de São Paulo (São Paulo, Brazil), 1989 PhD from the Faculty of Electrical Engineering of the University of Twente, Enschede, the Netherlands, 1994 His research focuses on distributed systems design methodologies, architecture, modeling and specification techniques, middleware platforms, and telematics applications. Expertise spans Ontology Models, Service Interoperability, Application Semantics, and integration of Internet of Things within Enterprise Architecture frameworks. Professor Ferreira Pires leads Master courses 'Service-Oriented Architecture with Web services' and 'ADSA: Model-Driven Engineering', and the Bachelor Module 'Software Systems', while contributing to 'Introduction to Business & IT' and 'Data and Information'. He actively participates in the Services & Cyber-Security (SCS) group under the Digital Society Institute.

• Atomic Force Microscopy (AFM)
• Surface Science
• Physical Chemistry
• +۳ مورد دیگر

Igor Sîretanu is an Assistant Professor in the Physics of Complex Fluids Group at the Department of Chemical Engineering , University of Twente, Netherlands. His research focuses on solid-liquid interfacial phenomena and surface functionalization at microscopic scales to control macroscopic behaviors like wetting, adsorption, colloidal interactions, and CO₂ capture.

• Systems and Control Theory
• Networked Dynamical Systems
• Data-Driven Control
• +۳ مورد دیگر

Dr. Henk van Waarde serves as a Tenure Track Assistant Professor within the Systems, Control and Applied Analysis group at the University of Groningen's Faculty of Science and Engineering and Bernoulli Institute. His academic journey includes completing his PhD in 2020 on networked dynamical systems under supervision of Dr. Pietro Tesi and Prof. Kanat Camlibel. His research centers on systems and control theory with emphasis on networked dynamical systems, data-driven control, and system identification. Key contributions include graph-theoretic methods for controllability analysis and fault detection in water distribution networks. His work bridges theoretical foundations with practical applications in complex dynamical networks. Analysis of his recent publications reveals a strong trend toward data-driven control methodologies, particularly focusing on necessary and sufficient conditions for system identification, handling noisy data, and applications of Willems' fundamental lemma to continuous-time systems. His research spans theoretical control theory, mathematical systems analysis, and practical engineering implementations. Dr. van Waarde actively collaborates with researchers across institutions, as evidenced by his co-authored publications in IEEE Transactions and other leading control journals. His work contributes to UN Sustainable Development Goals through applications in system optimization and network control. He maintains active research lines in memristive circuits, dissipative systems synthesis, and relaxation systems, demonstrating both theoretical depth and interdisciplinary reach. His laboratory work focuses on translating theoretical control frameworks into implementable solutions for networked systems.

Allert Bijleveldمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Ecology
• Movement Ecology
• +۵ مورد دیگر

Dr. Allert Bijleveld is a Senior Scientist at the Royal Netherlands Institute for Sea Research (NIOZ), specializing in behavioral ecology and movement ecology within coastal ecosystems. His research focuses on understanding how animals adapt to dynamic environments like the Wadden Sea, particularly investigating animal movement, spatial distribution, and responses to environmental changes such as sea-level rise and human activities. He integrates tracking technologies, field experiments, and modeling to study species like Red Knots, exploring topics such as animal personality, foraging strategies, and trophic interactions. Education: PhD in Ecology (cum laude), University of Groningen (2009–2015) MSc in Ecology & Evolution (cum laude), University of Amsterdam (2007) BSc in General Biology, University of Amsterdam (2006) Research Interests: Animal personality and behavioral consistency Social foraging and information use Trophic interactions in intertidal systems Impact of environmental changes on coastal ecosystems Awards: Wadden Academy Prize (2015) for best PhD thesis on Wadden Sea-related research Advising & Grants: Supervises PhD candidate Evy Gobbens on shorebird behavior and Wadden Sea ecology Recipient of NWO Veni/Vici funding for the WATLAS tracking project Principal investigator for projects on sea-level rise impacts and intertidal biodiversity Labs/Teams: Leads the WATLAS initiative for high-throughput shorebird tracking and collaborates on the SIBES long-term monitoring program.

Hannes Mühleisenمشاهده پروفایل

استاد

• Data Engineering
• Database Systems
• Query Processing
• +۲ مورد دیگر

Hannes Mühleisen is Professor of Data Engineering at Radboud University's Faculty of Science, Institute for Computing and Information Sciences. He maintains a joint appointment as Senior Researcher at Centrum Wiskunde & Informatica (CWI) and serves as CEO of DuckDB Labs. His research focuses on analytical data management systems architecture, with applications in modern data-driven applications. Mühleisen's research interests center on data engineering challenges, particularly the architecture and design of analytical data management systems. He develops universally-useful software artifacts that transform how data systems operate in real-world applications, with emphasis on CPU-efficient processing and embedded analytics. His recent publications demonstrate a consistent focus on database system optimization, particularly in the areas of query processing, sorting algorithms, and web-based analytical processing. This research direction aims to improve the efficiency and scalability of data systems handling large-scale analytical workloads. Dutch Prize for ICT Research 2025 Best paper runner up award at SSDBM 2017 Mühleisen leads DuckDB Labs and collaborates with research teams at Radboud University on data engineering challenges. His work includes developing frameworks for responsible decentralized data architectures and teaching courses on Big Data Infrastructures & Technology.

Stefan Manegoldمشاهده پروفایل

استاد

• Database Systems
• Column-store Database Architectures
• Data Management for Sciences
• +۷ مورد دیگر

Stefan Manegold is a Professor for Data Management (0.2 fte) at Leiden University's Faculty of Science within the Leiden Institute of Advanced Computer Science (LIACS), while also serving as a Senior Researcher (0.8 fte) and former Head (2011-2024) of the Database Architectures Research Group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. His career spans over 27 years at CWI and 11 years as a professor at Leiden University, with prior experience at Humboldt-Universität zu Berlin. Professor Manegold's research focuses on innovative database architectures, particularly column-store systems and hardware-aware database technologies. His expertise spans database query optimization, parallel and distributed information systems, XML storage and processing, and scientific data management. He has pioneered work in adaptive indexing, progressive query processing, and main-memory database systems that leverage modern hardware capabilities. His research bridges theoretical database concepts with practical implementations, as evidenced by his involvement in the MonetDB open-source database system. His work shows a clear evolution from foundational database research toward addressing modern challenges in big data management, scientific data processing, and interactive analytics. Recent publications demonstrate his continued leadership in database indexing techniques, GPU-accelerated database operations, and geospatial data management. Professor Manegold has received significant recognition for his contributions to the database community, including the prestigious 2020 ACM SIGMOD Contributions Award, the VLDB'2011 Challenges & Visions Track Best Paper Award, and the VLDB'2009 10-year Best Paper Award. His work has had substantial impact on both academic research and practical database system design. He has been actively involved in the academic community through conference organization, particularly with SIGMOD and VLDB events, and has contributed to numerous workshops including the Data Management on New Hardware (DaMoN) series. His leadership extends to collaborative research projects such as SciLens, PROMIMOOC, and DAMIOSO, which address data management challenges in scientific domains. Professor Manegold leads the Database Architectures Research Group at CWI, which has been at the forefront of database system research for decades. The group's work on MonetDB has influenced modern column-store database systems and continues to push boundaries in areas like progressive query processing and hardware-aware database design.

Guido Schäferمشاهده پروفایل

استاد

• Algorithms
• Combinatorial Optimization
• Algorithmic Game Theory
• +۴ مورد دیگر

Guido Schäfer is a Professor of Algorithms, Optimization, and Game Theory at the Institute for Logic, Language and Computation (ILLC) within the Faculty of Science at the University of Amsterdam (UvA). He is also a Senior Researcher at CWI (Centrum Wiskunde & Informatica) in Amsterdam, where he has led the Networks and Optimization Group (N&O) and serves on the Management Team. His academic journey includes a PhD from the Max-Planck-Institute for Informatics and postdoctoral research at Sapienza University of Rome and a junior professorship at TU Berlin, where he earned his Habilitation in 2009. His research focuses on algorithms and complexity, combinatorial optimization, and algorithmic game theory. Key themes include optimization algorithm design, equilibrium analysis, and mechanism design. Applications span routing, logistics, auctions, and algorithms with predictions. He has organized major conferences like SAGT 2024 and WINE 2015, and leads the Dutch Network on the Mathematics of Operations Research (LNMB). Teaching includes advanced courses on Algorithmic Game Theory, Algorithmic Mechanism Design, and Behavioral Operations Research. He supervises PhD and Master's students, particularly in the LNMB and UvA programs. Industry collaborations involve applying algorithmic techniques to real-world problems. His work bridges theoretical foundations with practical applications, emphasizing efficiency and societal impact.

Ivo Roghairمشاهده پروفایل

استادیار

• Chemical Process Intensification
• Fluidized Bed Reactors
• Computational Fluid Dynamics
• +۳ مورد دیگر

Ivo Roghair is an Assistant Professor in Chemical Process Intensification at Eindhoven University of Technology (TU/e), with additional affiliations in EAISI Health and EIRES Research. His research develops computational tools for intensified reactor concepts including membrane reactors, chemical looping processes, and fluidized bed systems. He holds an MSc from the University of Twente and a PhD from TU/e focused on numerical simulations of dense bubbly flows. Research interests include: Multiscale modeling of reactor systems (1D to 3D CFD) Fluidized bed membrane reactor design Chemical looping combustion kinetics Inter-particle forces in high-temperature fluidization Polymer drying processes and agglomeration prevention Recent publications show strong emphasis on 3D-printed catalyst structures, heat transfer optimization, and multiphase flow modeling. His work integrates computational methods with experimental validation to advance reactor design and process efficiency. Dr. Roghair leads projects including C-Recycle (chemical recycling technologies) and Cryogene CO₂ capture systems. He received the Best Bachelor Lecturer award in 2017 and contributes to courses on numerical methods and process technology.

Jorrit J. Olthuisمشاهده پروفایل

پژوهشگر

• Robotics
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Jorrit J. Olthuis is a doctoral candidate in the Data Protection group at Eindhoven University of Technology (TU/e), within the Faculty of Mathematics and Computer Science. His research focuses on cybersecurity, robotics, and formal methods in safety-critical systems. He is actively involved in the INTERSECT project (NWA.1160.18.301), which aims to develop secure IoT systems through modular architectures and forensic expertise. His work bridges theoretical computer science with practical applications in autonomous systems and machine learning. Olthuis has contributed to interdisciplinary projects combining robotics and AI, as evidenced by his participation in the Tech United Eindhoven Middle Size League, where his team won competitions in 2021–2024. These efforts emphasize multi-agent systems, real-time decision-making, and safety protocols. His publications address topics like autonomous navigation security, vision-based machine learning, and cryptography on constrained devices. He holds a master’s degree with theses on pairing-based cryptography performance and formal requirement verification. His research aligns with trends in secure IoT, autonomous systems, and AI ethics. Current projects explore cyberattack defense strategies and resilient system design.