جست‌وجوی استاد و پژوهشگر

Sharif S. Alyمشاهده پروفایل

استاد

• Veterinary Medicine
• Epidemiology
• Infectious Diseases
• +۶ مورد دیگر

Sharif S. Aly is a Professor of Epidemiology and Biostatistics in the Department of Population Health and Reproduction at the School of Veterinary Medicine, University of California, Davis. He has been a faculty member since May 2010, developing quantitative and epidemiological methods to advance the health, welfare and productivity of food animals. Dr. Aly is also enthusiastic about teaching epidemiology to veterinary and graduate students. As a veterinary epidemiologist, Dr. Aly specializes in dairy cattle infectious diseases and welfare. His research interests span Veterinary Medicine, Epidemiology, Infectious Diseases, Dairy Cattle Health, Antimicrobial Resistance, Data Science, Machine Learning, and Population Health. He develops innovative quantitative approaches to address complex challenges in food animal health and productivity. Dr. Aly's publication record demonstrates a strong focus on antimicrobial resistance, dairy cattle health, and diagnostic methods. His work frequently employs advanced statistical methods, machine learning approaches, and epidemiological modeling. Recent publications show increasing emphasis on the One Health approach, connecting animal health, human health, and environmental factors, particularly in relation to antimicrobial resistance and food safety. Dr. Aly serves as an Editorial Board Member for PeerJ - the Journal of Life & Environmental Sciences, reflecting his standing in the scientific community. His contributions as an author, reviewer, and editor demonstrate his commitment to advancing research in veterinary medicine and epidemiology. Dr. Aly leads the Dairy Epi Lab (Aly Lab), which focuses on effectively surveying large populations, novel scoring systems, diagnostic strategies, and risk assessment development. The lab collaborates with various research teams dedicated to improving dairy cattle health and productivity through evidence-based approaches, particularly in the areas of calf and adult cow health, foodborne pathogens, and antimicrobial resistance.

• Health Communication
• Digital Media
• Public Health
• +۵ مورد دیگر

Dr. Frans Folkvord is an Associate Professor at Tilburg University's Department of Communication and Cognition within the Tilburg School of Humanities and Digital Sciences. His research focuses on health communication, particularly the impact of digital media and social influencers on health behaviors, with an emphasis on minors' eating habits and body image. He holds a Veni Prize (2019) and contributes to external initiatives like the WHO Technical Working Group and PredictBy. Folkvord's work spans methodologies such as discrete choice experiments, randomized controlled trials, and health technology assessment frameworks like MAFEIP. He actively supervises PhD students and collaborates with interdisciplinary teams, including the Academic Collaborative Center for Digital Health & Mental Wellbeing. Research Interests: Digital health interventions, influencer marketing effects, public health strategies, health economics, and behavioral health. His studies explore how social media platforms and influencers can be leveraged for health promotion while addressing risks like unhealthy eating habits in youth. Key Publications: Recent works highlight influencer roles in health promotion, methodological frameworks for health interventions, and policy-relevant analyses of health technologies. These contributions bridge communication studies, public health, and clinical research, emphasizing evidence-based approaches to health challenges. Awards: Veni Prize (2019), a prestigious Dutch grant supporting innovative research. Advising & Grants: Accepts PhD students and engages in externally funded projects, including collaborations with the European Commission and health policy organizations. Labs/Teams: Active in the Academic Collaborative Center for Digital Health & Mental Wellbeing, focusing on digital solutions for health and mental wellness.

Hans van Dijkمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Clinical Neurophysiology
• Electrophysiology
• +۷ مورد دیگر

Hans van Dijk serves as a Senior Researcher in the Signal Processing Systems group within the Department of Electrical Engineering at Eindhoven University of Technology. He simultaneously holds leadership and research positions at multiple institutions, heading the Clinical Physics department at Kempenhaeghe (an institute specializing in Epileptology and Sleep medicine) and working as a Senior Researcher at the University Hospital in Ulm, Germany. His multidisciplinary career bridges engineering, clinical neurophysiology, and sleep medicine. Dr. van Dijk's research focuses on biomedical engineering applications in Clinical Neurophysiology, with particular expertise in electrophysiological techniques including EEG, EMG, and ECG. His work centers on developing and applying signal processing methods to diagnose neurological disorders, with specific emphasis on seizure detection using EEG , High-Density EMG for facial and masticatory muscles , and alternative diagnostic methods for sleep disorders . His recent publications demonstrate a strong focus on applying machine learning techniques to sleep medicine and epilepsy monitoring. Analysis of Dr. van Dijk's recent publications (2021-2025) reveals a consistent research trajectory in developing advanced signal processing methods for clinical neurophysiology. His work spans three main domains: epilepsy monitoring and seizure detection (particularly in children), sleep disorder diagnostics (using multimodal approaches beyond traditional polysomnography), and advanced EMG techniques for motor unit analysis. His research increasingly incorporates deep learning and multi-modal sensor fusion approaches to improve diagnostic accuracy while reducing the invasiveness of monitoring procedures. 2699 citations according to Scopus metrics 101 research outputs documented in institutional repository Active research collaboration with Philips Research and Kempenhaeghe Contributions to UN Sustainable Development Goals through medical diagnostics research Dr. van Dijk supervises research activities with 8 documented supervised works, collaborating extensively with clinical and engineering researchers across multiple institutions. His research program integrates signal processing expertise with clinical needs in neurology and sleep medicine, developing practical solutions for monitoring and diagnosing neurological disorders. His work at Kempenhaeghe focuses on translating engineering innovations into clinical practice for epilepsy and sleep disorder patients.

• Electromagnetic Compatibility (EMC)
• Risk Management
• Software Defined Radio (SDR)
• +۶ مورد دیگر

Dr. Robert Vogt-Ardatjew is a researcher specializing in Radio Systems , with a focus on Electromagnetic Compatibility (EMC) , Risk Management , and Software Defined Radio (SDR) . His work spans Shielding Effectiveness , Propagation Channel Modeling , and Frequency-Selective Emission Detection , contributing to both academic research and practical EMC engineering solutions.

• Veterinary Epidemiology
• Dairy Cattle Health
• Mastitis Research
• +۵ مورد دیگر

Dr. Tine van Werven is an Associate Professor in the Farm Animal Health Department at Utrecht University's Faculty of Veterinary Medicine. With over 30 years of academic career, she has established herself as a leading researcher in dairy cattle health, particularly focusing on mastitis, digital dermatitis, and reproductive disorders. Her research interests span veterinary epidemiology, antimicrobial use in dairy farming, herd health management, and disease prevention strategies. Dr. van Werven's work consistently addresses practical challenges faced by dairy farmers while maintaining scientific rigor. She has made significant contributions to understanding digital dermatitis management, udder health, and the economic implications of reproductive disorders in dairy herds. Analysis of her recent publications reveals a strong focus on practical veterinary solutions, with particular emphasis on non-antibiotic treatments for foot disorders, mastitis diagnostics, and the complex relationship between farm management practices and animal health outcomes. Her work frequently examines the human dimensions of veterinary medicine, including farmer behavior and attitudes toward disease prevention. Dr. van Werven maintains an extensive collaborative network across European research institutions and has supervised numerous graduate students throughout her career. Her research has been consistently funded through competitive grants that support translational veterinary science with direct applications to dairy farming practices. She actively contributes to veterinary epidemiology through her position at Utrecht University, where she participates in both teaching and research activities focused on improving dairy cattle health and welfare through evidence-based approaches.

• Veterinary Internal Medicine
• Organoid Research
• Hepatic Diseases in Companion Animals
• +۴ مورد دیگر

Monique van Wolferen is a Researcher and Teacher at Utrecht University's Faculty of Veterinary Medicine, Department of Clinical Sciences, specializing in Internal Medicine of Companion Animals. She is actively involved in cutting-edge research on veterinary internal medicine, with a particular focus on organoid technology and hepatic diseases in companion animals. Her primary research interests center around organoid development for veterinary applications , particularly in modeling hepatic diseases in dogs and cats. Her work spans from basic organoid culture techniques to translational applications for disease modeling and potential therapies. She has made significant contributions to understanding canine copper storage disease, hepatic lipidosis in cats, and developing innovative organoid-based models for various liver conditions. Analysis of her recent publications reveals a strong focus on translational veterinary medicine , with particular emphasis on organoid technology applications. Her research demonstrates a progression from basic organoid culture development toward increasingly complex applications including multi-organ systems, bioprinting, and therapeutic testing. The work spans multiple species (primarily dogs and cats) and addresses both fundamental biological questions and clinically relevant problems in veterinary medicine. While no specific scientific awards are listed in the available information, her research has garnered significant attention as evidenced by high citation counts on several publications, including over 300 citations for her work on volumetric bioprinting of organoids. Van Wolferen supervises students from both Utrecht University of Applied Sciences and the Veterinary Medicine program. Her research appears to be well-funded, supporting extensive work in organoid development and disease modeling, though specific grant details are not provided in the available information. Her laboratory work focuses on companion animal organoid systems , particularly for liver diseases. The research group appears to specialize in developing and applying organoid technology to model various hepatic conditions in dogs and cats, with applications ranging from basic disease mechanisms to potential therapeutic testing.

A.E. Zaidmanمشاهده پروفایل

استاد

• Software Testing
• Test Amplification
• Mutation Testing
• +۶ مورد دیگر

A.E. Zaidman is a Professor in the Software Technology department at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on software testing, code quality, and developer tooling, with recent emphasis on socio-technical factors, environmental impacts of testing, and GitHub Actions workflows. Key Research Areas Test amplification (developer interactions with automated testing) Code smell detection and its impact on software quality Empirical studies in open-source software testing AI/ML applications in test generation and analysis Scientific Awards Best Artifact Award (2022) Best Emerging Results Paper Award (2018) Best ERA paper award (2015) Best tool demo paper award (2017) ICPC 2009 Best Paper Award Recent Publications 2025: Systematic mapping of qualitative software testing methods 2025: Industrial language engineering case studies using Spoofax 2024: Environmental impact analysis of Java testing 2024: GitHub Actions workflow smell investigations

• Stem Cell Biology
• Liver Regeneration
• Organoid Technology
• +۶ مورد دیگر

Dr. B. (Bart) Spee is an Associate Professor at Utrecht University's Faculty of Veterinary Medicine, Department of Clinical Sciences, specializing in Internal Medicine for Companion Animals. With over 18 years of experience in molecular biology and veterinary medicine, he has authored more than 90 peer-reviewed scientific publications. His research focuses on developing stem cell treatments for liver diseases, particularly using organoids, positioning him as a global leader in liver disease research. Spee's primary research interests include stem cell biology, liver regeneration, organoid technology, biofabrication, and tissue engineering. His work centers on creating physiologically relevant in vitro liver models using biofabrication technology for drug toxicity testing and personalized medicine approaches. He also explores this technology for developing Advanced Therapy Medicinal Products (ATMPs), such as bioengineered livers, as alternatives to organ donation. His research has significant translational implications, bridging veterinary and human medicine, particularly in treating conditions like Wilson's disease and copper storage disease. His publication record reveals a strong focus on organoid technology, liver regeneration mechanisms, and biofabrication approaches. The research trends show increasing emphasis on bioprinting, multi-organ systems, and translational applications for drug testing and disease modeling. Recent work demonstrates integration of organoid technology with advanced biomaterials and engineering approaches to create more sophisticated liver models. Visiting Postdoctoral Fellowship 2007 Spee has secured significant research funding, including €1.4 million from a €6.4 million EU grant for the OrganTrans consortium focused on bioprinting organs. He leads the 'Artificial Cow Model' project (2022-2026) funded by NWO and is involved in the 'Drug disposition On-a-Chip' project funded by Health~Holland. His previous work includes the completed 'Liver progenitor cells for functional recovery of liver disease' project (2010-2016) funded by NWO's Translational adult stem cell research grant. Spee coordinates the bachelor elective and international summer school 'Regenerative Medicine and Advanced in Vitro Models' and is involved in the 'Veterinary Professional level 2' course. His laboratory at the Hubrecht Institute serves as a hub for developing innovative approaches to liver disease treatment and modeling, with strong connections to both veterinary clinical practice and human medical applications.

B.J. (Bas) Blaauboerمشاهده پروفایل

استاد

• Toxicology
• Biokinetics
• Cellular Toxicology
• +۳ مورد دیگر

Prof. B.J. (Bas) Blaauboer is a retired academic affiliated with Utrecht University's Institute for Risk Assessment Sciences (IRAS) and previously with the Department of Veterinary Pharmacology and Toxicology. He has held the Doerenkamp-Zbinden Chair (2008–present) focusing on alternatives to animal testing in toxicological risk assessment. His roles include Editor for Toxicology in Vitro , Coordinator of the Postgraduate Education in Toxicology (until 2014), and member of the Dutch authority for licensing Animal Experimentation Projects. He retired in 2014 but remains active in committees such as the Central Committee for Animal Experiments. Education: Bachelor’s in Biology (Utrecht University, 1969–1973) PhD in Toxicology (Utrecht University, 1978), supervised by Dr. Hans Wit, Prof. Herman van Genderen, and Prof. Adelbert van Miert Postdoctoral fellowship at the MRC Toxicology Unit, UK (1979) Research Interests: Blaauboer’s work centers on integrating in vitro toxicity data with physiologically based biokinetic (PBBK) modeling to enhance risk assessment transparency. He advocates replacing animal models with in vitro systems for predicting human health risks, particularly within the reproductive and endocrine systems. His vision emphasizes a paradigm shift from apical endpoints to mechanistic pathway analysis in cellular systems, supported by quantitative modeling. The Doerenkamp-Zbinden Chair mission includes developing non-animal testing strategies for regulatory purposes, prioritizing reduction of companion animal use in experimentation. Awards & Recognition: 2017 EUROTOX Merit Award 2016 Best Publication in Food and Chemical Toxicology 2013 Willy van Heumen Prize for Alternatives to Animal Testing 2010 Best Risk Assessment Publication (SOT RA Specialty Section) 2007 Best Publication in ALTEX 2006 American Industrial Health Council Visiting Scholar Advising & Grants: Over 100 students and 17 PhD candidates supervised since 1973, with a focus on in vitro toxicology. He contributed to policy initiatives on university research quality assessments (2000) and served in leadership roles including Deputy Director of RITOX (1993–1998), Head of Biochemical Toxicology Research Group (1980–1997), and Board Chair of the KNAW-accredited Environmental Chemistry and Toxicology Research School (1994–1997). Labs & Teams: The Doerenkamp-Zbinden Chair Group (2008–present) operates within IRAS’s Division of Toxicology. It includes five PhD students, a junior researcher, and two technicians. Collaborations involve international organizations such as ECVAM, EUROTOX, and CAAT-Europe, focusing on in vitro method development and regulatory implementation.

Derek Lomasمشاهده پروفایل

پژوهشگر

• Human-Centered Design
• Artificial Intelligence
• Health Technology
• +۳ مورد دیگر

Derek Lomas is a researcher at Delft University of Technology’s Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Human Technology Relations. He holds a PhD in Human-Computer Interaction from Carnegie Mellon University, an MFA in Social Design from UC San Diego, and a BA in Cognitive Science from Yale University. His research focuses on AI-driven wellbeing solutions, neurodesign, and educational technology. He leads projects like NeuroUX (mobile cognitive assessment software) and Zensus (patient wellness tracking), and has developed over 40 learning/assessment games. Key areas include music perception via EEG, AI alignment with human emotions, and design methodologies for positive AI. Education: B.A. Cognitive Science, Yale University, 2003 MFA Social Design, UC San Diego, 2009 PhD Human-Computer Interaction, Carnegie Mellon University, 2014 Research Interests: AI for wellbeing and mental health Neuroscience-driven design (EEG, brain-computer interfaces) AI ethics and human-AI interaction Game-based learning and assessment Key Projects: NeuroUX : Cognitive assessment software used in psychiatric research Zensus : AI-driven patient wellness monitoring system FactFlow : AI math fluency tool for children Vibe Research Labs : Exploring AI and positive human experiences Awards: Social Innovation Fellowship (PopTech) MacArthur Foundation Digital Media Learning Grant White House National STEM Game Competition McGinnis Business Plan Competition Winner Grants & Collaborations: Consultancy: Playpower Labs (UX, data science, software) Partnerships with UC San Diego, Brown University, and UT Austin

Yannick Hillمشاهده پروفایل

استادیار

• Sports Psychology
• Human Performance
• Resilience
• +۳ مورد دیگر

Yannick Hill is an Assistant Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, with affiliations in the Learning and Performance department. He holds concurrent roles as Assistant Professor at IBBA and AMS-Sports. His research focuses on resilience, stress adaptation, and human performance in sports and virtual environments. He is a member of institutions like the Lyda Hill Institute for Human Resilience (Colorado), Instituut voor Sport- en Prestatiepsychologie (Groningen), and Amsterdam Institute of Sport Science (AISS). His work bridges psychology, sports science, and technology, emphasizing dynamic systems and personalized approaches to resilience. Research interests include stressors' impact on motor performance, home advantage analysis in sports, and immersive VR applications. He has published extensively on topics such as pressure training, network analysis in education, and resilience frameworks. Teaching includes courses like 'Sportpsychologie' and 'Gespreksvoering in de Sportpsychologie'. Recent articles highlight themes like stress protocols in gymnastics, gender differences in field hockey performance, and VR's role in medical training. His work emphasizes practical recommendations for technology integration and ethical considerations in resilience research.

• Statistical Hypothesis Testing
• Permutation Methods
• Group Invariance Testing
• +۳ مورد دیگر

Dr. Nick Koning is an Assistant Professor at the Erasmus School of Economics within the Department of Econometrics at Erasmus University Rotterdam. His research focuses on statistical methodologies with a strong emphasis on permutation tests and group invariance principles. He maintains an ORCID profile: 0000-0002-3784-4480 . His research interests span statistical hypothesis testing , computational efficiency , and applications in econometrics . Key areas include optimizing permutation-based tests, addressing challenges in group invariance testing, and advancing real-time evaluation frameworks. He explores confidence interval estimation, multiple testing validity, and the integration of statistical rigor with practical computational constraints. Recent publications (2021–2025) reflect his contributions to statistical inference, particularly in reducing computational costs for permutation tests and developing anytime-valid testing strategies. His work bridges theoretical statistics with applied econometric challenges, such as risk-averse stochastic programming and high-dimensional data analysis. No scientific awards or specific grants are mentioned in the provided information. While he advises students in econometrics and statistics, no formal advisee names are listed. Collaborations involve international networks, though specific countries/affiliations remain unspecified.

Karel A. Kroezeمشاهده پروفایل

پژوهشگر

• Statistics
• Computational Statistics
• Data Science
• +۱۱ مورد دیگر

Karel A. Kroeze is a Researcher at the Behavioural Data Science Institute (BDSI) at the University of Twente, specializing in Instructional Technology. With an h-index of 52, he has established himself as a significant contributor in the fields of adaptive learning systems, educational data mining, and psychometrics. His work bridges computer science, statistics, and educational theory to develop innovative assessment and feedback mechanisms. His educational background includes a Master's degree in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences from Utrecht University (2015) and a Bachelor's degree in European Studies from the University of Twente (2013). This interdisciplinary foundation supports his current research in complex data analysis for educational applications. Kroeze's research focuses on developing adaptive systems for learning environments, particularly in inquiry-based education. His work on automated hypothesis assessment, concept mapping, and computerized adaptive testing demonstrates his commitment to improving educational outcomes through data-driven approaches. He explores how adaptive scaffolds, learner models, and automated feedback can enhance the quality of student inquiry and hypothesis formation in science education. His publication record shows consistent output from 2014 through 2024, with recent work expanding into health economic modeling validation and electoral system analysis. This demonstrates both depth in his core educational technology domain and breadth across applied statistical methods. As evidenced by his numerous datasets on GitHub related to adaptive hypothesis grammars across multiple domains (Electrical Circuits, Supply and Demand, Buoyancy, Photosynthesis, and Heat transfer), Kroeze develops practical tools that parse and assess student hypotheses in various scientific contexts. His research contributes to several UN Sustainable Development Goals, particularly in the area of quality education.

Richard Loenderslootمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Composite Materials
• Vibration Analysis
• +۳ مورد دیگر

Richard Loendersloot is an Associate Professor specializing in dynamics-based maintenance, focusing on structural integrity diagnostics and prognostics. His work integrates advanced sensors and data-driven methods for predictive maintenance in composite materials and infrastructure systems. Research interests include structural health monitoring (SHM), vibration analysis, and damage accumulation modeling. He has contributed to methodologies like Bayesian filtering for prognostics and non-collinear wave mixing for material aging assessment. Recent publications (2024-2025) emphasize sensor technology comparisons, ML-assisted frameworks for cyber-physical systems, and scaled bridge testing for vehicle-bridge interaction models. He collaborates widely, with activities including invited talks on smart maintenance and presentations at international conferences. Supervised 13 academic works, though student names are not listed. Labs/Teams: Part of dynamics-based maintenance research groups, contributing to datasets like motor current/vibration monitoring for e-motor-driven pumps.

• Bayesian Statistics
• Psychometrics
• Educational Psychology
• +۳ مورد دیگر

Dr. Jean-Paul G.J.A. Fox is an Associate Professor at the University of Twente with a focus on Bayesian covariance structure modeling, psychometrics, and data-based decision making. His research spans educational psychology, response time analysis, and statistical methods for nested data structures. Active researcher with recent publications (2024) in journals like Journal of Multivariate Analysis and Journal of Educational and Behavioral Statistics Recipient of the prestigious VIDI-beurs (2007) for methodological research Expert in modeling complex data patterns including negative associations and interval-censored survival data Research interests: Bayesian statistical modeling Joint modeling of response accuracy and timing Educational assessment frameworks Covariance structure analysis Data-based decision making systems Psychometric measurement theory Scientific contributions show trends in computational statistics for education and healthcare applications, with recent work on multi-way nested data structures and small-sample item response modeling. Scientific Awards: VIDI-beurs (2007) - Methodology award for innovative research Supervised work includes doctoral research on educational data analysis and Bayesian modeling applications. Collaborative network spans national and international institutions, particularly in psychometrics and educational statistics domains.