Find Academic Supervisors

Patricia DankersView profile

Professor

• Biomedical Materials
• Supramolecular Chemistry
• Regenerative Medicine
• +3 more

Patricia Dankers is a Full Professor of Biomedical Materials at the Department of Biomedical Engineering, Eindhoven University of Technology (TU/e). She leads the DankersLab, focused on developing functional biomaterials using supramolecular chemistry for regenerative medicine applications. Her research emphasizes designing adaptive materials to control biological processes in the human body. Academic Background: Dankers earned her PhD in Chemistry at TU/e (2006) and a second PhD in Medical Sciences at Groningen University (2013). She held roles at SupraPolix, UMCG, and as a visiting professor at Northwestern University (2010). Her career progression includes appointments as Assistant Professor (2008), Associate Professor (2014), and Full Professor (2017). Research Interests: Her lab explores supramolecular polymers, hydrogels for drug delivery, antimicrobial surfaces, and in situ tissue engineering. Key areas include tuning material properties via molecular design and high-throughput screening for biomaterial-cell interactions. Grants & Awards: Veni (2008), Vidi (2017), ERC Starting Grant (2012), DSM Science & Technology Award, Pauline van Wachem Award, and membership in prestigious academies like DJA (KNAW) and Academia Europaea. Advising & Labs: Supervised PhD candidates including Boris Arts, Riccardo Bellan, and Maritza Rovers. Active in startups like Dankers Group BV and UPyTher, and chairs roles in institutions like DWI Leibniz Institute and the Smart Biomaterials Consortium. Labs & Teams: Heads the Biomedical Materials & Chemistry group within TU/e’s ICMS and collaborates internationally on projects like kidney regeneration and synthetic heart valves.

A. BozzonView profile

Professor

• Artificial Intelligence
• Human-Computer Interaction
• AI Ethics
• +3 more

A. Bozzon is a Full Professor at Delft University of Technology, affiliated with the Department of Web Information Systems under the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on Human-Centered Artificial Intelligence (HCAI), emphasizing ethical AI, human-AI interaction, and societal implications. He has authored over 240 publications and secured 8 notable awards, including Best Paper Awards at CHI 2023 and 2025. Affiliations : Delft University of Technology Research Interests : AI ethics, human-AI collaboration, algorithmic fairness, and sustainable design. His work bridges technical innovation with social impact, addressing topics like mental health diagnostic tools, automation adoption in organizations, and greenspace accessibility. Key contributions include datasets on adverse drug reactions and AI-driven urban analysis. Collaborations span global institutions, reflecting his interdisciplinary approach. Awards : Best Paper Award at CHI 2023 Best Paper Award at CHI 2025 CTwalk Map: Best Demo Award (2024) Supervised 14 academic works, fostering next-generation researchers in HCAI. Active in policy discussions around AI governance and has pioneered tools like Amalur for FAIR data integration.

Martina VittoriettiView profile

Assistant Professor

• Statistics
• Social Safety in Academia
• Multicultural Workplace Dynamics
• +4 more

Martina Vittorietti is an Assistant Professor in the Statistics Group within the Department of Applied Mathematics at Delft University of Technology (TU Delft), Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). She is actively engaged in fostering a supportive and inclusive academic environment, particularly emphasizing social safety, interpersonal communication, and community building within multicultural research settings. Her research interests lie primarily in statistics, with a strong interdisciplinary focus on human interactions, workplace wellbeing, and social dynamics in academic environments. She values curiosity-driven research and emphasizes the importance of genuine human connection in collaborative scientific work. Her approach integrates statistical thinking with social awareness, promoting safe and healthy work cultures. Martina advocates for proactive support among colleagues, especially in diverse cultural contexts where direct communication may be less common. She emphasizes observation, empathy, and creating safe spaces for open dialogue. During her PhD, she initiated peer-driven events such as PhD seminars and social gatherings to strengthen community bonds, and she continues to participate actively in faculty activities as a faculty member. She is a strong proponent of leading by example in upholding principles like those in the EWIquette initiative, believing that authentic social interaction is foundational to a thriving academic workplace. Her work extends beyond technical research into building resilient, respectful, and collaborative academic communities.

Joeri van der VeldeView profile

Researcher

• Genetics
• Genomics
• Molecular Biology
• +7 more

Joeri van der Velde is a researcher at the Faculty of Medical Sciences , University of Groningen , affiliated with the Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI) . His work spans genetics, genomics, bioinformatics, and data science, focusing on rare diseases and autoinflammatory conditions. Key research areas include variant interpretation, FAIR data principles, and multi-omics analysis. He contributes to open-source software development and data stewardship frameworks for biomedical research. Recent publications highlight his role in creating DNA variant interpretation pipelines (e.g., Molgenis Vip ), advancing FAIR data infrastructures (e.g., FAIR Data Cube ), and curating ontologies for autoinflammatory diseases. His collaborations extend to international consortia like SOLVE-RD and European reference networks. No scientific awards are explicitly mentioned in the provided data, and details about advisees or formal grants are absent. He actively participates in academic presentations, such as at BioSB 2020, and contributes to datasets like the 1000IBD project and GAVIN software tools.

Marileen DogteromView profile

Professor

• Bionanoscience
• Cytoskeleton Physics
• Microtubule Dynamics
• +7 more

Marileen Dogterom is a Professor of Bionanoscience at the Kavli Institute of Nanoscience, Delft University of Technology, and holds a dual appointment as a Medical Delta Professor at the Leiden Institute of Physics, Leiden University. Her research focuses on the quantitative biophysics of the cytoskeleton, particularly microtubule dynamics and their role in cellular organization and division. Her work integrates in vitro reconstitution , theoretical modeling , and live-cell experiments to dissect the physical mechanisms underlying cytoskeletal processes. She leads the national 'Building a Synthetic Cell' (BaSyC) initiative, aiming to construct a minimal synthetic cell, reflecting her pioneering role in bottom-up synthetic biology. Her lab investigates cytoskeletal crosstalk, DNA segregation systems, microtubule-kinetochore coupling, and force generation using advanced techniques like optical tweezers and liquid-phase electron microscopy. The most recent publications highlight a strong trend in mechanistic biophysics and synthetic cell engineering , with a focus on protein complexes (Ndc80, Ska), microtubule end dynamics, actin-microtubule coordination, and the development of minimal in vitro systems to model cellular processes like polarity and coacervate formation. Spinoza Prize (2018) : One of the highest scientific awards in the Netherlands. Member of the KNAW board (2017) : Elected to the Royal Netherlands Academy of Arts and Sciences. She actively supervises PhD and master’s students, fostering the next generation of scientists in biophysics and synthetic biology. Her lab collaborates widely, including with groups at TU Delft, Leiden University, and international institutions like BIOCEV in Prague. The lab is deeply involved in cutting-edge projects such as building light-controllable DNA segregation systems and visualizing microtubule dynamics with liquid-phase EM. Her research is conducted at the intersection of physics, biology, and engineering, primarily within the Marileen Dogterom Lab at TU Delft, and through collaborative efforts with the Koenderink group (TU Delft) , the Schneider lab (Leiden University) , and the broader European Synthetic Cell initiative .

• Pig Welfare
• Animal Welfare
• Feeding Behavior
• +3 more

Iris Boumans is an Assistant Professor at Wageningen University's Wageningen Institute for Animal Science, specializing in Animal Production Systems . Her work bridges animal behavior modeling , precision livestock farming , and welfare assessment through innovative technologies like computer vision and machine learning . Active in applied ethology and agent-based modeling since 2013 Co-developer of 3D camera systems for pig posture/location tracking Recipient of three scientific awards for presentation and thesis excellence Key research themes include: Feeding behavior analysis and its links to health/stress Light spectrum/intensity impacts on circadian rhythms and growth Novel frameworks connecting circular economy principles to animal welfare Self-organizing maps for identifying behavioral types in sows Recent collaborations focus on ammonia exposure effects and sensor data aggregation for real-time welfare monitoring. Awards highlight her contributions to tail-biting modeling and feeding behavior analysis at international conferences. She supervises PhD candidates in projects like Enlighted Pigs and Drawing Pig Feeding Patterns , emphasizing individual variation and non-invasive assessment tools for improving pig welfare in modern farming systems.

• Animal Welfare
• Poultry Behavior
• Gut Microbiota
• +6 more

Dr. Jerine van der Eijk is an active researcher in Animal Health & Welfare at Wageningen University & Research. Specializing in poultry behavior and welfare, her work examines the impacts of genetics, environment, and microbiota on broiler chickens and laying hens. Research Focus : Animal welfare, gut-brain axis in poultry, environmental enrichment Current Work : Investigating light spectrum preferences and growth rate impacts on welfare Her recent publications analyze how breed differences affect welfare outcomes, with emphasis on behavioral adaptations and physiological responses. Collaborations with experts like dr. de Jong and prof. Naguib highlight her interdisciplinary approach. Key trends in her work include: Integration of computer vision for behavioral monitoring Studies on peripheral serotonin in feather pecking Comparative analysis of slow/fast-growing broiler strains Application of microbiota transplantation techniques

• Systems Biology
• Mathematical Modeling
• Plant Growth
• +3 more

Jaap Molenaar is a Professor at the Mathematical and Statistical Methods - Biometris group, affiliated with PE&RC (Plant Research International). As an external employee, he specializes in systems biology, mathematical modeling, and computational methods, with a focus on plant growth and dynamic control systems. His work bridges theoretical and applied research across ecology and agricultural sciences. PhD Promotor for 5 projects (2010–2024) Active in interdisciplinary collaborations (e.g., water distribution systems, plant meristem patterning) Research Interests include uncertainty quantification, nonlinear systems, and cellular/molecular pattern formation. His publications highlight applications of spectral expansion methods, sensitivity algorithms, and dynamic modeling in plant physiology and control theory. 2024: Prediction uncertainty in systems biology 2023: Leaf-level photosynthesis modeling 2022: Structural identifiability in control systems Science Communication : Featured in national media (e.g., EenVandaag , 2023) discussing EU policies to protect bees and agricultural ecosystems.

• Metabolomics
• Computer Vision
• Amino Acids
• +5 more

Ron Wehrens is a researcher at Biometris , part of Wageningen University & Research. His work spans interdisciplinary applications of machine learning, metabolomics, and computer vision in agricultural and biological sciences. Developing statistical tools in R (e.g., aaresponse , Kohonen packages) Applying AI/ML to problems in floriculture, animal behavior, and nutritional science Collaborating on projects involving remote sensing, plant phenotyping, and metabolic health studies Research Interests include metabolomics, deep learning for agricultural robotics, and behavioral analysis in livestock. His recent work focuses on self-organizing maps for data clustering and trait estimation in plants. Scientific Awards : No explicit awards mentioned in the text.

• Plant Genetics
• Photosynthesis
• Brassicaceae
• +5 more

Dr. Phuong Nguyen serves as a Research Associate at the Laboratory of Genetics, Wageningen University & Research. Her research program focuses on plant adaptation mechanisms to environmental stresses, particularly examining photosynthesis efficiency, seed development, and salt tolerance in Brassicaceae species. She actively contributes to multiple research projects investigating crop resilience and sustainable agricultural practices. Her scientific interests encompass: Plant molecular genetics and genomics Photosynthetic responses to environmental fluctuations Seed germination and dormancy mechanisms Computational approaches to plant phenotyping Agricultural adaptation to salinity stress Brassicaceae evolutionary biology Dr. Nguyen's recent publications reveal a strong trajectory in integrating molecular biology with agricultural applications. Her work demonstrates increasing sophistication in connecting genetic mechanisms with phenotypic outcomes, particularly in stress response pathways. The research portfolio shows growing emphasis on computational methods for plant analysis while maintaining strong field applications in crop improvement. International collaborations span multiple continents, reflecting the global relevance of her work on food security challenges. She currently leads the active project "Plant photosynthesis responses to light fluctuation" (2023-2026), building on previous successful projects including "Towards improved crop photosynthesis efficiency" (2019-2021) and "Dimorphic fruits, seeds and seedlings as adaptation mechanisms to abiotic stress" (2014-2017). Her methodological innovations in plant phenotyping and genetic analysis have established her as a significant contributor to plant stress biology research.

Rianne M. SchoutenView profile

Researcher

• Computer Science
• Data Mining
• Exceptional Model Mining
• +6 more

Rianne M. Schouten is a postdoctoral researcher at Eindhoven University of Technology (TU/e), affiliated with the School of Mathematics and Computer Science and specializing in Data Mining . Her work focuses on Exceptional Model Mining and Pattern Discovery in complex datasets, including hierarchical and sequential data. She has held external positions at Utrecht University (2017–2019), Columbia University (2016), and SRON Netherlands Institute for Space Research (2015). Research Trends : Her publications (2017–2025) emphasize quality measures for data mining, subgroup discovery , and sequence analysis , with applications in Markov chains and high-dimensional data . Collaborations span France, the Netherlands, and the U.S. External Roles : External researcher, Utrecht University (2017–2019) Staff associate, Columbia University (2016) Intern, SRON Netherlands Institute for Space Research (2015)

Rashid ZamanView profile

Researcher

• Process Mining
• Data Privacy
• Business Process Re-engineering
• +4 more

Rashid Zaman is a researcher affiliated with Eindhoven University of Technology (TU/e), focusing on intersections of process mining , GDPR compliance , and event stream processing . His work addresses conformance checking, data retention constraints, and memory optimization in dynamic business processes. Research Trends: Recent publications emphasize technical solutions for aligning business processes with privacy regulations like GDPR, with specialized attention to memory-efficient algorithms for real-time conformance checking and orphan event handling in data streams. Collaborations: Active collaborator with researchers including Boudewijn van Dongen and Mohammad Hassani , contributing to projects on GDPR-compliant business process frameworks.

Nikolay YakovetsView profile

Assistant Professor

• Databases
• Data Intensive Systems
• Graph Databases
• +3 more

Nikolay Yakovets is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research focuses on databases and data-intensive systems with specialization in graph data management, query processing optimization, and high-performance data engineering. He leads academic courses including Data Modeling, Database Technology, and Engineering Data-Intensive Systems. Education background includes: PhD in Computer Science from York University (2017) MSc and BSc in Computer Science from York University Research expertise spans: Foundational database technologies Graph query optimization algorithms Cardinality estimation methods Knowledge graph construction High-performance data processing architectures Publication trends show consistent focus on graph database systems, with recent works advancing property graph management, cardinality estimation techniques, and ontology-driven knowledge graphs. Research demonstrates strong emphasis on practical system efficiency and theoretical foundations. Active in student supervision with 41 supervised works recorded. No awards mentioned in source materials.

Paola FanzioView profile

Assistant Professor

• Microfluidics
• Additive Manufacturing
• Biomedical Engineering
• +3 more

Dr. Paola Fanzio is an Assistant Professor at Delft University of Technology (TU Delft) in the Department of Precision and Microsystems Engineering (PME), specializing in High-resolution Multi-Material Additive Manufacturing for Microfluidic Applications. She holds a Master's degree in Physics from the University of Genova (2008) and a PhD in Robotics, Neuroscience, Nanotechnology, and Drug Discovery from the Italian Institute of Technology (2012). Research Focus: Healthcare-driven microfluidic devices using additive manufacturing Industry Experience: 5 years at UltiMaker B.V. as Function Lead and Research Lead Extrusion Her research addresses cardiovascular diseases by developing 3D microfluidics devices via multi-material additive manufacturing. This technology enables single-step fabrication of complex systems with integrated functions like electrodes and variable flexibility. Her work bridges biomedical challenges with advanced manufacturing solutions. Recent publications highlight her expertise in extrusion dynamics, nozzle design, and polymer rheology in additive manufacturing. Key keywords include multi-material fabrication , shear-induced stresses , and pressure monitoring . Articles span journals like Physics of Fluids and Additive Manufacturing (2022–2024). Delft Technology Fellowship (2023)

• Smart City Development
• Urban Challenges
• Portfolio Approach
• +4 more

Chantal van den Ouweland is a Lecturer and researcher at Hogeschool van Amsterdam , specializing in Urban Economic Innovation . Her work focuses on smart city development, governance frameworks for urban challenges, and multi-pathway approaches to sustainable urban planning. Key Research Areas : Smart City Development, Portfolio Approaches, Blue-Green Infrastructure Collaborations : Works with international partners on urban governance protocols and climate-resilient infrastructure Her recent publications (2019-2024) analyze governance models for smart city projects, emphasizing collaboration between stakeholders. She has participated in academic conferences like EGOS (2020) and GRONEN (2020, 2022, 2023). Her research has been cited in policy documents and accessed by 18 readers on Mendeley.