جست‌وجوی استاد و پژوهشگر

• Human-Animal Relationship
• Veterinary Behavioral Medicine
• Animal Welfare
• +۵ مورد دیگر

Nienke Endenburg is an Associate Professor at the Faculty of Veterinary Medicine , Utrecht University, Netherlands. She works within the Department of Population Health Sciences , focusing on the Human-Animal Bond , Animal Welfare , and Veterinary Behavioral Medicine . Her career spans over 30 years, with roles in research, teaching, and clinical practice. Specializes in Human-Animal Interaction and Companion Animal Welfare Teaches Child Development , Animal-Assisted Interventions , and Grief Counseling in Germany since 2001 Co-founder of the Certipet Foundation (2010) and member of the World Small Animal Veterinary Association (2011) Active in Veterinary Forensic Expertise and Animal Welfare Policy globally Her research explores the psychological impact of companion animals on children , animal abuse and domestic violence links , and stress physiology in service animals . Key methodologies include longitudinal studies, physiological measurements (e.g., cortisol), and cross-cultural surveys. Notable recent publications address global veterinary education trends , service dog efficacy for PTSD , and forensic animal abuse indicators . She contributes to WSAVA guidelines on animal welfare and professional wellness.

• Polar Meteorology
• Glaciology
• Climate Modeling
• +۳ مورد دیگر

Dr. Willem Jan van de Berg is an Associate Professor at Utrecht University's Department of Dynamics Meteorology within the Faculty of Science. His research focuses on polar meteorology, particularly the interaction between ice sheets and the atmosphere/ocean system. He has been affiliated with the Institute for Marine and Atmospheric Research Utrecht (IMAU) since 2003, where he initiated his PhD studies. Research Interests: Dr. van de Berg's work centers on understanding climate processes affecting ice sheets, including surface mass balance dynamics, firn evolution, and the impacts of warming scenarios on Antarctica and Greenland. His studies utilize regional climate models (e.g., RACMO2) and focus on topics like ice sheet stability, blowing snow sublimation, and meltwater runoff. Publications: His recent work includes studies on West Antarctic Ice Sheet collapse precursors, Greenland surface mass balance projections, and Antarctic firn air content changes under future warming. These contributions highlight his expertise in climate modeling and polar environmental science. Affiliations: Active within IMAU and collaborating internationally on projects like GrSMBMIP and IMBIE. His research bridges atmospheric science and glaciology, with applications to sea-level rise projections.

Anne van Loonمشاهده پروفایل

دانشیار

• Drought Risk Analysis
• Groundwater Drought
• Flood Risk Management
• +۴ مورد دیگر

Dr. Anne van Loon is an Associate Professor in Drought Risk at the Institute for Environmental Studies (IVM) within the Faculty of Science at Vrije Universiteit Amsterdam. She specializes in interdisciplinary drought and flood risk science, focusing on hydrological processes, human-water interactions, and climate adaptation. Her work integrates quantitative and qualitative methods, including modeling, workshops, and participatory approaches. Education: PhD in Drought Propagation (Wageningen University, 2013) MSc in Hydrology and Water Quality (Wageningen University, 2006) BSc in Soil, Water and Atmosphere (Wageningen University, 2002) Research Interests: Propagation of drought and flood risks Groundwater drought dynamics Climate risk storylines and adaptation pathways Interdisciplinary methodologies for socio-hydrological systems Her current projects include the ERC-funded PerfectSTORM project on drought-to-flood disasters, the EU-funded RECEIPT project on climate risk storylines, and collaborations in southern Africa (Connect4WR) and Europe (GDI). Grants and Projects: ERC Starting Grant: PerfectSTORM (2021–2026) I-CISK Project: Climate Services Integration (2021–2025) DOWN2EARTH: Drought Risk Modeling in Eastern Africa Labs/Teams: Leads the Water & Climate Risk group at IVM, collaborating with global networks on socio-hydrological research and disaster risk reduction.

Robbert Kleerebezemمشاهده پروفایل

دانشیار

• Microbial Ecosystems
• Environmental Biotechnology
• Bioprocess Engineering
• +۳ مورد دیگر

Robbert Kleerebezem is an Associate Professor at Delft University of Technology's Faculty of Applied Sciences, Department of Biotechnology. His research focuses on microbial community engineering, particularly in anaerobic processes, bioremediation, and sustainable resource recovery. He leads projects like Unlock (syngas conversion) and FABULOUS (urban waste valorization). He teaches courses on environmental thermodynamics and microbial community engineering. His group develops bioprocesses for wastewater treatment and biopolymer production (e.g., PHA) from waste streams. Notable achievements include advancing understanding of microbial ecosystem dynamics and scaling-up PHA production. Collaborations with Wetsus and industry partners highlight applied research. Education: MSc Environmental Sciences from Wageningen University. Advised over 20 PhD students, with expertise in microbial ecology and process optimization. Active in teaching fermentation technology and environmental biotechnology at both BSc and MSc levels. His lab explores topics like anaerobic digestion, syntrophic associations, and biofilm engineering.

Victoria Degelerمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Software Engineering
• +۴ مورد دیگر

Victoria Degeler is an Assistant Professor at the University of Groningen’s Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on AI-driven solutions for complex systems, combining expertise in artificial intelligence, software engineering, and service-oriented computing. She actively contributes to EU Horizon initiatives through her role in evaluating projects for the EC REA and EASME. Her work emphasizes real-world applications such as digital twins for infrastructure optimization, machine learning for IoT systems, and adaptive service architectures. Her research interests span digital twins in water distribution networks, quality-aware IoT processing, and machine learning methodologies. Notable projects include developing self-adaptive service selection frameworks and analyzing human activity recognition biases. She collaborates widely, evidenced by co-authored publications in top-tier conferences and journals.

Hajo Reijersمشاهده پروفایل

استاد

• Process Mining
• Data Science
• Robotic Process Automation
• +۴ مورد دیگر

Prof. Hajo Reijers is a full professor at Utrecht University's Department of Information and Computing Sciences, leading the Process Science group. He also holds a part-time professorship at Eindhoven University of Technology's Department of Mathematics and Computer Science. His expertise spans Process Mining, Data Science, Robotic Process Automation (RPA), and Business Process Redesign. His research addresses challenges in healthcare, services, and collaboration with international scholars. Research Interests: Process Mining: Focusing on discovering, analyzing, and improving business processes through event log analysis. Data Science: Leveraging data-driven approaches for organizational decision-making and automation. Robotic Process Automation: Developing smart RPA systems and understanding human-robot collaboration. Future of Work: Investigating how technology impacts work practices and employee well-being. Key Contributions: Prof. Reijers' work bridges academic rigor and industry application, with notable contributions to process discovery algorithms, concept drift detection, and RPA frameworks. His recent studies explore the ethical and practical implications of AI in workflows. Awards: Best Paper Award (2021), Utrecht University Research Portal. Advising & Grants: Supervised 6 doctoral projects (details on Scopus). Active in securing grants for projects on process mining, RPA, and organizational change. Labs & Teams: Leads the Process Science group at Utrecht University, collaborating with industry partners to deploy process analytics solutions in real-world settings.

Mark Bakkerمشاهده پروفایل

استاد

• Groundwater modeling
• Hydrology
• Analytic element method
• +۵ مورد دیگر

Mark Bakker is a Professor in the Water Management Department within the Civil Engineering and Geosciences faculty at Delft University of Technology. He obtained his engineering degree from the Civil Engineering Department in Delft in 1989 and his Ph.D. from the Department of Civil Engineering of the University of Minnesota in 1994. His research focuses on advanced groundwater modeling techniques and hydrological processes. His research interests include modeling groundwater dynamics with impulse response functions, analytic element modeling of multi-aquifer flow, seawater intrusion modeling, analytic element modeling of unsaturated flow, groundwater whirls, and transient groundwater flow in aquifers with periodic boundary conditions. He has developed computational tools like TimML for analytic computation of heads and velocities in aquifer systems. His recent publications reveal a strong focus on practical applications of groundwater modeling, including arsenic removal systems in Bangladesh, coastal aquifer management, and innovative measurement techniques using fiber optic cables. His work bridges theoretical hydrogeology with real-world water management challenges, particularly in developing regions and coastal environments. Groundwater modeling techniques Seawater intrusion processes Analytic element method applications Time series analysis for aquifer characterization Multi-aquifer system dynamics Unsaturated zone hydrology Professor Bakker has made significant contributions to groundwater science through both theoretical developments and practical applications, with his work appearing in leading journals such as Water Resources Research, Ground Water, and Advances in Water Resources. His research has important implications for water resource management in coastal regions and developing countries.

• Data Integration
• Machine Learning
• Schema Matching
• +۵ مورد دیگر

C. Koutras is a researcher at the Data-Intensive Systems group within the School of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His work focuses on data integration, schema matching, and machine learning applications in modern data systems. Research Areas: Data Integration, Schema Matching, Machine Learning, Data Lakes, Graph Neural Networks, Biomedical Data Systems Collaborations: Active collaborations with researchers including R. Hai, A. Katsifodimos, and M. Jarke. Recent work includes developing tools like Amalur and Valentine , which address challenges in data lake integration and scalable schema matching. His research leverages large language models and graph-based techniques for biomedical and distributed data environments. Despite significant contributions to data integration and machine learning, no explicit scientific awards or part-time status are documented in the provided materials. His 2024 dissertation at TU Delft highlights expertise in modern data challenges.

• Food Safety
• Animal Feed
• Biowaste Utilization
• +۳ مورد دیگر

Marko Appel is a researcher at Wageningen University & Research , specifically affiliated with Wageningen Food & Biobased Research and Wageningen Food Safety Research. His work focuses on the intersection of food safety, animal feed production, and sustainable resource management within agrochains. Research interests include: Bovine Spongiform Encephalopathy (BSE) risk analysis in feed systems Safe utilization of biowaste and residual streams for animal feed Insect rearing technologies and regulatory compliance Circular economy applications in agricultural value chains Recent research outputs highlight trends in residual stream valorization (2025 report), BSE transmission risks in calf milk replacers (2024), and microbial safety in insect rearing (2024). His work often involves interdisciplinary collaboration across European institutions. Active projects include: AF18029: Processing factors of pesticides in animal feed (2019-2024) Biochemistry Research (2019)

Bettina Speckmannمشاهده پروفایل

استاد

• Computational Geometry
• Geometric Algorithms
• Spatial Data Analysis
• +۱۲ مورد دیگر

Bettina Speckmann is a full Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU Eindhoven), where she leads the Applied Geometric Algorithms group. She holds additional appointments as EAISI Health Professor and EAISI Foundational Professor, and is affiliated with the Data Science Center Eindhoven. Her research bridges theoretical algorithm design with practical applications in spatial computing. Her research interests lie primarily in computational geometry and geometric algorithms, with strong applications in GIScience, Smart Mobility (including moving object analysis and automated cartography), geo-visualization, visual analytics, and e-Humanities. She focuses on developing efficient algorithms and data structures for spatial data, combining rigorous theoretical methods with practical engineering for real-world impact. Her recent publications (2025) show a strong trend in geometric data processing, particularly in polycube segmentations, dual loop algorithms, density estimation for moving groups, and topological analysis using merge trees and Fréchet distances. These works reflect her interdisciplinary focus on computational geometry, visualization, and data structures. Scientific awards received include: Netherlands Prize for ICT Research (2011) NWO Vici Award (2012) PEriTiA Prize (2020) Bettina Speckmann has advised numerous students and researchers through her group and has secured major grants, including the NWO Vici. She has served in leadership roles such as PC co-chair for Graph Drawing (GD 2011), PC chair for ICALP Track A (2015), and PC co-chair for SoCG (2018). She teaches courses such as Data Structures and Heuristic Algorithms. She leads the Applied Geometric Algorithms group, which actively collaborates with industry partners like HERE Global B.V., Fugro NL Land B.V., and OCLC B.V., and contributes to UN Sustainable Development Goals in areas related to data and mobility.

• Bioeconomy Engineering
• Carbon-Based Materials
• Renewable Feedstocks
• +۳ مورد دیگر

Harriette Bos is an active Researcher at Wageningen University & Research specializing in Biorefinery & Fibre Technology. Her work focuses on advancing the circular bioeconomy through sustainable material systems, carbon accounting, and biomass valorization. She leads multiple national projects including Add_Groene Grondstoffenboekjes (2024-2026) and Biobased contribution to circularity and climate (2023-2024). Her research interests center on developing assessment frameworks for carbon-based materials and renewable feedstocks. Bos pioneers methodologies for evaluating the intrinsic recycling potential of bio-based products while addressing systemic challenges in textile circularity and land use optimization. Her work bridges technical material science with policy implementation for fossil-free transitions. Analysis of her 125+ publications reveals consistent focus on bioeconomy engineering (100% fingerprint), feedstock material science (88%), and carbon-based materials (66%). Her recent work emphasizes practical assessment methods (33%), pretreatment engineering (33%), and textile fiber sustainability (38%), demonstrating evolving expertise from fundamental biomass processing toward systemic circular economy implementation. Bos actively engages in knowledge transfer through co-creation workshops and public outreach. Her project leadership spans technical research (e.g., FossilFree materials roadmap) to societal impact initiatives like Mission Fossil Free. She frequently participates in EU-level discussions on land use dilemmas and circular textile systems. Current activities include moderating the Transition towards a circular bioeconomy conference (Nov 2024) and panel participation in Hackathon Rethink Textile (Oct-Nov 2024). Her media presence spans expert commentary on food security (Nov 2024) to public engagement through platforms like Een chemicus kan de wereld veranderen (2016).

• Animal Genomics
• Livestock Conservation
• Dairy Cattle Genetics
• +۴ مورد دیگر

Ina Hulsegge is a Researcher in the Animal Breeding & Genomics group at Wageningen University & Research, specializing in livestock genomics and conservation. Her work focuses on genomic diversity analysis, inbreeding estimation, and precision livestock farming technologies, particularly for dairy cattle conservation. Her research spans Genomic profiling of livestock diversity Development of real-time animal identification systems using computer vision Conservation genomics for Dutch cattle breeds Deep learning applications in genotype data analysis with strong emphasis on practical implementation in breeding programs and gene banks. Recent publications highlight trends in Automated phenotyping through ear-tag recognition (2024) SNP array-based genomic diversity assessment (2024) Aneuploidy detection via deep learning (2023) Sub-population analysis in red-pied cattle (2023) demonstrating her dual focus on computational innovation and conservation applications. Scientific contributions include: Management systems for genomic information in gene banks (2024) EUGENA database updates for multi-species conservation (2024) Analysis of genetic changes in Dutch black-and-white cattle (2022) She actively engages in knowledge transfer through professional presentations at precision livestock farming conferences and collaborates with institutions like CGN (Centre for Genetic Resources, the Netherlands) on conservation initiatives. Her PhD thesis 'Genomics applied to conservation of genetic diversity in Dutch livestock' (2023) established foundational work for national conservation strategies.

• Organic Waste Management
• Bioconversion
• Insect-based Waste Processing
• +۳ مورد دیگر

Hellen Elissen is a researcher at Wageningen University & Research , specializing in organic waste valorization through insect-based systems. Her work focuses on the application of black soldier fly ( Hermetia illucens ) larvae for bioconversion of agricultural and biological waste streams, including pig manure and Sargassum seaweed. Active in agrivoltaics research for dual land-use optimization Collaborates internationally on biogas and composting technologies Her research spans waste valorization, feedstock engineering, and sustainable food/feed production systems. Recent publications analyze the utilization of organic waste for insect rearing, frass properties, and digestate processing. In media, Elissen has contributed expert commentary on agrivoltaics implementation challenges and mobile solar panel integration with farmland. She leads the EU-funded TALOS project (2024-2026) investigating operational cost efficiency in bioconversion systems.

• Emotion
• Interpersonal Relationships
• Psychophysiology
• +۵ مورد دیگر

Dr. Monika Donker serves as Assistant Professor in the Department of Youth and Family within Utrecht University's Faculty of Social and Behavioural Sciences. Her academic base is the Martinus J. Langeveld Building (Heidelberglaan 1, Room E2.28) in Utrecht, Netherlands. As an active researcher, she contributes to the Dynamics of Youth (DoY) initiative and leads investigations within the InTransition project focusing on parent-adolescent interactions and adolescent autonomy development. Her research expertise spans emotion dynamics, interpersonal relationships, and psychophysiological measurement techniques. Specializing in longitudinal and dynamical systems approaches, she examines teacher-student relationships, parent-child interactions, and adolescent development through multimodal methodologies including heart rate monitoring and behavioral coding. Her work integrates personality theory with developmental frameworks to understand stress responses in educational and family contexts. Analysis of her recent publications reveals strong thematic continuity in educational and developmental psychology, with increasing emphasis on pandemic-related family dynamics and physiological assessment methods. Her scholarly output demonstrates methodological sophistication through integration of self-report, observational, and physiological data streams, particularly in classroom and family settings. Professional activities include presentations at major international conferences (EARLI, SAA, ISPA), service on the PhD council of the Faculty of Social Sciences, and membership in the Educational Committee of the Interuniversity Centre of Educational Sciences (ICO). She completed a visiting research period at the University of Konstanz (Germany) under Prof. Thomas Goetz in 2018. Her technical proficiency encompasses advanced statistical software (MLwiN, Mplus, HLM, AMOS, SPSS, R) for multilevel and structural equation modeling. Current media engagements include expert commentary on teacher emotional experiences and research dissemination regarding parent-adolescent relationships during the COVID-19 pandemic.

• Machine Learning
• Neural Networks
• Neuromorphic Computing
• +۳ مورد دیگر

Marcel van Gerven serves as Professor of Artificial Intelligence at Radboud University, leading the Artificial Cognitive Systems laboratory within the Donders Institute for Brain, Cognition and Behaviour. He holds dual Principal Investigator roles at both the Donders Centre for Cognition and the Donders Institute, while directing the ELLIS Unit Nijmegen as an ELLIS Fellow. His research program bridges artificial and natural intelligence through machine learning and neuromorphic computing, with core expertise in neural networks, brain-computer interfaces, and neuroprosthetics for vision restoration. Current work develops brain-inspired AI systems that enhance computational efficiency while modeling biological neural processes, particularly focusing on cortical stimulation safety and real-time adaptive systems. Analysis of his 2025 publications reveals dominant themes in reinforcement learning for neuroprosthetics, anomaly detection frameworks, and spiking neural network applications. His work consistently integrates medical applications including epilepsy regulation, immunotherapy diagnostics, and prosthetic vision enhancement, demonstrating strong translational impact from fundamental AI research to clinical solutions. Scientific recognition includes: Vidi laureate from the Dutch Research Council ELLIS Fellowship for European AI leadership Professor van Gerven directs significant research funding through national and international grants, including the Vidi award. His laboratory develops specialized frameworks like Abmax and Kozax for agent-based modeling while mentoring students in cognitive AI systems, though specific advisees aren't documented in available sources. The Artificial Cognitive Systems lab operates within the Donders Institute ecosystem, collaborating closely with the ELLIS Unit Nijmegen to advance European neuromorphic computing research. Current initiatives focus on biologically plausible learning rules, efficient neural network architectures for embedded systems, and closed-loop neuroprosthetic control systems.