جست‌وجوی استاد و پژوهشگر

• Colorectal Cancer Screening
• Cancer Screening
• Colorectal Carcinoma
• +۷ مورد دیگر

Dr. Esther Zoutendijk is an Assistant Professor in the Department of Public Health at Erasmus MC, Netherlands. Her research focuses on cancer screening programs, particularly colorectal cancer, with a strong emphasis on epidemiological evaluation and public health impact. Her research interests lie at the intersection of preventive medicine and oncology, specifically in colorectal cancer screening , fecal immunochemical testing (FIT) , cancer detection methodologies , and population-based screening program evaluation . She investigates factors influencing screening efficacy, including stage distribution, participation trends, and socioeconomic disparities. The recent articles demonstrate a consistent focus on modeling and meta-analytic approaches to assess the performance and optimization of colorectal cancer screening in the Dutch population. Key themes include fecal hemoglobin levels , interval cancers , stage distribution , and harm-benefit ratios in screening strategies. Her work contributes significantly to evidence-based public health policy. Dr. Zoutendijk collaborates extensively with leading researchers in gastroenterology and public health, particularly within national screening program evaluations. While formal advisees are not listed, her involvement in doctoral theses suggests academic mentorship. She has not received any explicitly mentioned scientific awards in the provided data. She is actively contributing to high-impact journals such as Gastroenterology , Clinical Gastroenterology and Hepatology , and International Journal of Cancer , indicating ongoing research productivity and engagement with current challenges in cancer prevention.

• Inflammatory Bowel Disease
• Crohn's Disease
• Ulcerative Colitis
• +۱۲ مورد دیگر

Reinier van Linschoten is a researcher in the Department of General Practice at Erasmus MC, Rotterdam, the Netherlands. His work centers on improving healthcare delivery for patients with inflammatory bowel disease (IBD), with a strong focus on value-based care, cost-effectiveness, and health equity. His research interests span Inflammatory Bowel Disease , Crohn's Disease , Ulcerative Colitis , healthcare costs , machine learning applications in epidemiology , and quality of primary care . He employs both quantitative and qualitative methodologies to evaluate patient outcomes, treatment effectiveness, and disparities in access to care. The most recent articles show a consistent trend toward using real-world data, predictive modeling, and patient-reported outcomes to enhance decision-making in IBD management. His work bridges clinical practice, health economics, and digital innovation. He has contributed to significant multi-center studies such as the IBD Value Study, focusing on variation in hospital outcomes and costs. Although no formal awards or students are listed, his active publication record in high-impact journals reflects a growing influence in the field of gastroenterology and health services research. Van Linschoten is involved in collaborative research networks across hospitals in the Netherlands, contributing to large-scale validation studies and epidemiological modeling. His recent doctoral thesis underscores his expertise in value-based healthcare models for chronic disease management.

• Ophthalmology
• Immunology
• Infectious Diseases
• +۳ مورد دیگر

Saskia Rombach is a Researcher at the Department of Internal Medicine, Erasmus MC. Her work focuses on ocular immunology with particular emphasis on uveitis, ocular tuberculosis, and diagnostic biomarkers. She collaborates internationally, notably with institutions in Indonesia and the Netherlands, investigating disease mechanisms and clinical outcomes in autoimmune and infectious eye conditions. Research interests include biomarker discovery for differential diagnosis of uveitis subtypes, application of artificial intelligence in retinal imaging analysis, and management of adverse drug reactions related to biological therapies. Her studies have explored geographic variations in ocular TB presentation between low- and high-endemic regions, contributing to evidence-based treatment guidelines. Recent work emphasizes clinical outcomes of macular edema in ocular TB patients and the role of BAFF/CXCL9 biomarkers in distinguishing sarcoidosis from tuberculosis. She has pioneered AI-driven approaches for early disease detection through retinal vasculature analysis, proposing transformative diagnostic paradigms. No scientific awards are explicitly mentioned in the provided text. Her research frequently involves multidisciplinary teams and has produced 16 peer-reviewed publications as of 2025, with a focus on translational medicine and clinical practice improvement.

Fleur van der Feenمشاهده پروفایل

پژوهشگر ارشد

• Clinical Neuropsychology
• Neurorehabilitation
• Multiple Sclerosis
• +۶ مورد دیگر

Dr. Fleur van der Feen is a Research Fellow in Clinical Neuropsychology at the University of Groningen’s Faculty of Behavioural and Social Sciences, specializing in neurovisual rehabilitation for neurodegenerative disorders. Her work focuses on integrating low-vision rehabilitation with neuropsychological approaches to address visual complaints in Multiple Sclerosis (MS), Parkinson’s disease, and dementia patients. She leads the NAH-Progress initiative, a collaboration with Royal Dutch Visio and clinical centers to establish national guidelines for visual rehabilitation in neurodegenerative diseases. Her research emphasizes patient-centered care and multidisciplinary interventions, with a focus on improving diagnostic accuracy and rehabilitation outcomes through validated screening tools. Her expertise spans visual dysfunction assessment, rehabilitation protocol development, and the complex interplay between cognitive and visual impairments in neurological conditions. She collaborates closely with Prof. Joost Heutink and Dr. Gera de Haan on projects analyzing visual complaints in MS and Parkinson’s disease using advanced statistical methods and patient-reported outcome measures. Key contributions include validating the Dutch Screening Visual Complaints questionnaire and proposing stepped care models for reading difficulties in Parkinson’s patients. Dr. van der Feen’s research has been featured in peer-reviewed journals like Clinical Rehabilitation and Neuropsychological Rehabilitation , addressing topics such as visual rehabilitation efficacy, cognitive-visual interactions in MS, and neurodegenerative symptom profiling. Her work bridges clinical practice and academic research, aiming to translate evidence-based strategies into practical rehabilitation solutions.

Hylke Jellemaمشاهده پروفایل

استادیار

• Criminal Law
• Evidence Law
• Legal Theory
• +۳ مورد دیگر

Dr. Hylke Jellema is an Assistant Professor at the Willem Pompe Institute for Criminal Law and Criminology, Utrecht University, and holds a postdoctoral position at the University of Groningen's Transboundary Legal Studies. His research focuses on rational criminal proof mechanisms, Bayesian reasoning in legal contexts, and preventing miscarriages of justice through evidence evaluation. He defended his PhD thesis cum laude on integrating Bayesian and explanation-based approaches to criminal proof. Currently, he works on truth-efficiency tensions in criminal investigations and defendant statement veracity evaluation under the 'Preventing Miscarriages of Justice' NWO project. Education background includes advanced training in both law and philosophy, reflected in his interdisciplinary research spanning legal theory and empirical legal studies. His work emphasizes probabilistic reasoning fallacies in judicial processes, as seen in his contributions to judge training programs and empirical testing of legal decision-making frameworks. Key awards include his PhD distinction. He collaborates on grants related to forensic epistemology and criminal justice reform, with active participation in multidisciplinary teams focusing on evidence reliability and judicial error reduction.

Sanne Kuijperمشاهده پروفایل

پژوهشگر

• Psychology
• Educational Psychology
• Developmental Linguistics
• +۳ مورد دیگر

Dr. Sanne Kuijper is a Researcher and Teacher at the University of Groningen, affiliated with the Faculty of Behavioural and Social Sciences and the Department of Orthopedagogy & Clinical Educational Science . She holds a PhD in Psychology and focuses on communication challenges in children with autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). Her research bridges developmental linguistics, educational psychology, and inclusive education strategies. She contributed to the Evaluatie Passend Onderwijs project, investigating student experiences with educational support systems. Her work has been published in journals like Frontiers in Psychology and European Journal of Special Needs Education . Education : Sanne Kuijper earned her PhD from the Center for Language and Cognition Groningen (CLCG), focusing on communication abilities in neurodiverse children. Her thesis explored how children with ASD and ADHD navigate linguistic tasks requiring perspective-taking and pragmatic reasoning. Research Interests : Her studies emphasize: Pragmatic language development in neurodiverse populations Inclusive education frameworks and student support systems Scalar implicature comprehension in children Connections between theory of mind, inhibition control, and language processing Grants & Projects : Member of the NRO-funded consortium for Evaluatie Passend Onderwijs (2015–2019) Contributor to NWO Vici project 'Asymmetries in Grammar' (CLCG) Labs/Teams : Active researcher within the CLCG and collaborates with educational consortia in Groningen. Her work often integrates experimental psychology, linguistic theory, and classroom-based interventions.

• Transplant Surgery
• Liver Transplantation
• Organ Preservation
• +۱۲ مورد دیگر

Ivo Schurink is a researcher in the Department of Surgery at Erasmus MC, specializing in liver transplantation and organ preservation technologies. His research focuses on improving graft viability and outcomes through advanced perfusion techniques, including normothermic and hypothermic oxygenated machine perfusion, particularly for donation after circulatory death (DCD) and extended criteria donors. His research interests span liver graft assessment , ex situ perfusion systems , organoid models , and clinical validation of preservation methods . He actively contributes to translational research aimed at enhancing transplant success rates and expanding the donor pool. His work integrates both experimental and clinical approaches, with a strong emphasis on real-world applicability and cost-effectiveness. The recent publications highlight a consistent focus on machine perfusion technologies , liver function monitoring (e.g., using indocyanine green), and evidence-based surgical oncology . There is a clear trend toward multicenter validation studies and health economic evaluations, indicating a maturing field and a move toward broader clinical implementation. Scientific Collaborations and Impact: He collaborates extensively with leading transplant centers across Europe and contributes to international validation efforts. His work has been cited in major journals and presented in high-impact forums. While no formal advising or grant information is available in the text, his involvement in multiple collaborative studies suggests participation in funded research projects. His contributions to systematic reviews and clinical trials indicate a strong role in evidence synthesis and trial design. His research is embedded within a robust surgical and transplant research network at Erasmus MC, likely involving close ties with the liver transplant program and ex vivo perfusion laboratories. The focus on clinical validation and cost-effectiveness suggests integration with health policy and surgical innovation teams.

• Genetics
• Clinical Genetics
• Molecular Genetics
• +۷ مورد دیگر

Ingrid van de Laar is a researcher in the Department of Clinical Genetics at Erasmus MC, a leading academic medical center in the Netherlands. Her work is centered on the genetic basis of hereditary connective tissue disorders, particularly vascular Ehlers-Danlos syndrome and Loeys-Dietz syndrome. She actively contributes to research on genotype-phenotype correlations, functional genomics using fibroblast models, and clinical natural history studies. Her research interests include clinical genetics , molecular genetics , vascular diseases , genotype-phenotype correlation , and hereditary connective tissue disorders . She employs fibroblast-based transcriptome and functional analyses to uncover pathogenic mechanisms in genetic conditions, especially where standard DNA testing fails to yield diagnoses. The recent articles highlight a strong focus on rare genetic syndromes, including SMAD3-related disorders, NF1 variants, and biallelic mutations in genes like PIGB, EFTUD2, and NANS. Her work spans clinical cohort studies, functional validation, and expanding the phenotypic spectrum of known genetic disorders. Many publications involve multidisciplinary collaboration across Dutch and international centers. She has contributed to high-impact journals such as Circulation: Genomic and Precision Medicine , Journal of Medical Genetics , and Human Molecular Genetics . Her research has been cited in peer-reviewed literature and referenced on platforms including Wikipedia, Mendeley, and X (formerly Twitter), indicating scholarly engagement and visibility. Ingrid van de Laar supervises research, as indicated by the 'Supervised Work (1)' on her profile. She is involved in doctoral training and likely mentors students in clinical and molecular genetics. Her work is supported by collaborative networks across Erasmus MC and national consortia. She is part of research teams studying vascular aging, connective tissue disorders, and rare genetic diseases. Her lab or research group likely operates within the Clinical Genetics department at Erasmus MC, collaborating closely with molecular biologists, clinicians, and bioinformaticians to advance diagnosis and understanding of genetic syndromes.

• Colorectal Carcinoma
• Circulating Tumor DNA
• Colorectal Liver Metastasis
• +۵ مورد دیگر

Lissa Wullaert is a Researcher at Erasmus University Medical Center (Erasmus MC) in the Department of Plastic and Reconstructive Surgery and Hand Surgery, actively contributing to translational oncology with a focus on colorectal cancer biomarkers and patient-centered care pathways through multicenter collaborations. Her primary research interests include: Colorectal Carcinoma and Liver Metastasis Circulating Tumor DNA (ctDNA) and Circulating Tumor Cells (CTC) Patient-Led Follow-up Models Home-Based Blood Sampling and Biomarker Monitoring Recurrence-Free Survival Optimization Quality of Life Assessment in Cancer Survivors Analysis of her recent publications reveals a cohesive research program targeting colorectal cancer management through liquid biopsy validation, patient-driven surveillance implementation, and surgical timing optimization. Key studies like MIRACLE (ctDNA/CTC biomarkers), FUTURE-primary (patient-led follow-up), and CASA-I (home CEA testing) employ prospective multicenter designs to address critical gaps in recurrence monitoring, cost-effective care, and patient autonomy. Scientific Awards: No scientific awards were documented in the provided profile. Advising and Funding: The profile indicates no explicitly listed doctoral students or grant funding details, though her leadership in multicenter studies (MIRACLE, FUTURE-primary) implies collaborative project management. Current research appears supported through institutional Erasmus MC oncology initiatives and clinical trial networks. Laboratory and Collaborative Networks: Dr. Wullaert operates within Erasmus MC's Plastic and Reconstructive Surgery department while collaborating extensively with surgical oncology teams across colorectal cancer research consortia. Her work integrates molecular diagnostics (ctDNA/CTC analysis), clinical surgery units, and patient-reported outcomes frameworks, though specific laboratory infrastructure details were not disclosed.

Clemens Dubslaffمشاهده پروفایل

استادیار

• Formal Methods
• Probabilistic Model Checking
• Symbolic Methods
• +۴ مورد دیگر

Clemens Dubslaff is an Assistant Professor in the Formal System Analysis group at TU Eindhoven (The Netherlands). His research focuses on improving the reliability and explainability of computing systems through formal methods, particularly probabilistic model checking and symbolic techniques. He holds a Ph.D. from TU Dresden (Germany) and has affiliations with TU Dresden's Cluster of Excellence CeTI and Collaborative Research Center CPEC. His work addresses challenges in analyzing complex configurable systems and enhancing system transparency through explainable AI approaches. Education: B.Sc. in Mathematics and Computer Science (TU Dresden) M.Sc. in Computational Logic (NOVA University Lisbon) Ph.D. in Formal Methods (TU Dresden) Research Interests: Formal methods and model checking Symbolic analysis techniques Configurable and reconfigurable systems Explainability in AI and verification Probabilistic systems analysis Recent Achievements: NWO VENI Grant (2023) Launched OxiDD decision diagram framework (2024) Key contributions to feature-based software analysis Labs/Teams: Formal System Analysis group at TU/e, collaborating with Dresden's CeTI and CPEC initiatives.

Erik Pollمشاهده پروفایل

دانشیار

• Software Security
• Formal Methods
• Secure Input Handling
• +۷ مورد دیگر

Erik Poll is an Associate Professor in the Digital Security (DiS) research group at the Institute for Computing and Information Science (ICIS), part of Radboud University's Faculty of Science. His work focuses on software security through formal methods and rigorous engineering approaches, addressing vulnerabilities in protocols like TLS, SSH, and payment systems (EMV, EV charging). He also explores applied security in smartcards, RFID, TEEs, and industrial IoT standards (OPC-UA). Research Interests: Core areas include secure input handling (LangSec), fuzzing techniques, cryptographic protocol analysis, and critical infrastructure security. He has pioneered protocol state fuzzing for analyzing implementations of OpenVPN, SSH, and TLS. Applied work spans smart grid security, automotive systems, and privacy in digital identity wallets. Teaching: Leads courses on Web Security, Software Security, and Security Protocol Projects in Radboud's Cyber Security and Software Science programs. Organizes the NymaCon hacking competition and maintains materials for cybersecurity education in Dutch high schools. Advising & Grants: Currently supervising four PhD students (listed above). Principal investigator on projects like Find2Fix (NWO 2025-2029), NOLAI (2022-2032), and INTERSECT (2020-2028). Collaborates with Dutch cybersecurity organizations like ACCSS and OWASP Netherlands. Labs/Teams: Active in ICIS's Digital Security group, leading the confidential contact team for PhD students. Co-developed open-source smartcard tools and contributes to standards like the Dutch National Cyber Security Research Agenda (NSCRA III).

Xavier de Carné de Carnavaletمشاهده پروفایل

استادیار

• Network Security
• Privacy
• Web Security
• +۴ مورد دیگر

Xavier de Carné de Carnavalet is an Assistant Professor at Radboud University's Digital Security group within the Faculty of Science. His research focuses on network security, privacy, web security, and applications of machine learning in cybersecurity. He holds a PhD from Concordia University (2019) and completed postdoctoral work at Carleton University's CCSL lab. Research Interests: Network Security & Privacy Passwords & Authentication Systems Embedded/Firmware Security Machine Learning for Cybersecurity Home Router Vulnerabilities TLS Interception Mechanisms Publications highlight trends in analyzing security configurations (home routers), detecting vulnerabilities (command injection in firmware), and evaluating TLS interception practices. His work often bridges technical security analysis with human factors influencing secure practices. He has contributed to major conferences like CHI, NDSS, and USENIX Security. Notable projects include analyzing password strength meters and verifying TrueCrypt's build integrity. Current research includes database breach analysis and cryptographic software hardening. Labs/Teams: Active contributor to the Digital Security group at Radboud University, collaborating with institutions like HK PolyU and Concordia's Madiba Security Research Group.

Susan Niessenمشاهده پروفایل

عضو هیئت علمی

• Psychometrics
• Personnel Selection
• Algorithmic Decision-Making
• +۱۲ مورد دیگر

Susan Niessen is a University Lecturer in the Faculty of Behavioural and Social Sciences at the University of Groningen, affiliated with the Psychometrics and Statistics department. Her work spans psychometrics, personnel selection, algorithmic decision-making, and talent identification in sports and education. Research Interests: Her research focuses on predictive validity, decision-making, organizational psychology, and educational assessment. She investigates how algorithms and psychological tests can improve fairness and accuracy in hiring and admissions. Her work also explores talent scouting in soccer and the use of multimodal data for personality assessment. Publication Trends: Her recent articles emphasize algorithmic transparency in hiring, athlete assessment using cognitive models, and longitudinal analysis of career pathways in sports. She combines psychometric rigor with real-world applications in education, HR, and sports science. Scientific Awards: Gratama Award (2024) ABBAS Dissertation Award (2019) Top Cited Paper Certificate, International Journal of Selection and Assessment (2018) BSS Science for Society Award (2016) Advising and Grants: She serves as co-supervisor for a PhD project on algorithmic fairness in secondary education admissions (2024–2029). She has contributed to consultancy projects, including the evaluation of selection procedures for R(h)io’s (2024). Her datasets on higher education performance and soccer talent are publicly available. She is an editor for the Journal of Personnel Psychology and actively participates in peer review and academic presentations. Labs and Teams: She collaborates closely with researchers like R.R. Meijer, M. Neumann, and R.J.R. den Hartigh. Her work is embedded in the Psychometrics and Statistics group at the University of Groningen, contributing to both academic research and societal impact through public engagement and policy-relevant studies.

Jan Friso Grooteمشاهده پروفایل

استاد

• Formal Methods
• Verification Technology
• Software Engineering
• +۱۲ مورد دیگر

Jan Friso Groote is a Full Professor and Chair of the Formal System Analysis group in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He also holds professorial roles in the EAISI Foundational and EAISI High Tech Systems institutes. Since 2016, he has been working part-time at ASML, contributing his expertise in formal verification to industrial applications. Education: Born in 1965, studied Computer Science at Twente University of Technology (now University of Twente), 1983–1988. PhD in 1991 from the University of Amsterdam with thesis 'Process algebra and structured operational semantics', based on research at CWI (Centrum Wiskunde en Informatica). Jan Friso Groote is a leading researcher in formal methods and software verification. His work focuses on enabling the development of flawless software through rigorous formal analysis. Key research areas include structural operational semantics, model checking, branching bisimulation, protocol verification, and the development of the mCRL2 toolset. His current goal is to integrate formal techniques into complete software system design, improving both development speed and quality. His research has demonstrated that formal methods can reduce development time by a factor of three and increase quality tenfold, with potential for zero-defect software. His recent publications demonstrate sustained contributions in formal verification, including work on mutual exclusion algorithms, industrial control system modeling, probabilistic systems, and efficient bisimulation algorithms. The articles span topics such as tunnel control systems, simulation lower bounds, and formal methods for critical systems, reflecting both theoretical depth and practical application. Scientific Awards: Best Paper Award FACS 2018 FMICS-AVoCS Best Paper Award (2017) Jan Friso Groote has held significant leadership roles in education, including Director of Education for Computer Science (2000–2010) and for multiple bachelor’s and master’s programs. He has advised numerous researchers and supervised a large body of research output (over 320 publications). He leads the Formal System Analysis group and has been involved in projects such as 'Composable Embedded Systems for Healthcare'. His work bridges academia and industry, particularly through collaborations with ASML and Rijkswaterstaat, and he has been a visiting researcher at institutions across Europe and China. He is a key contributor to the mCRL2 toolset, which supports modeling and verification of software behavior with data, time, and probabilities. His research fingerprints highlight strong expertise in model checking, transition systems, software design, and process algebra. He teaches courses such as System Validation, Embedded Software, and Capita Selecta in Formal System Analysis.

• Vulnerable Plaques
• Ultrasound Imaging
• Photoacoustic Imaging
• +۵ مورد دیگر

Marcel CM Rutten is an Assistant Professor at the Department of Biomedical Engineering, Eindhoven University of Technology, specializing in Cardiovascular Biomechanics. His research focuses on vulnerable plaque characterization, biomechanical modeling, and advanced imaging techniques like ultrasound and photoacoustics. Research Interests: Vulnerable Plaque Analysis Photoacoustic Imaging Medical Device Development Hemodynamic Flow Modeling In Vitro/Ex Vivo Testing Recent Article Trends: His 2022-2024 publications emphasize integrated photonics for medical sensors, strain imaging in ultrasound simulations, and in vitro flow models for heart valve prostheses. Key themes include hemodynamic risk assessment, wave propagation analysis, and machine learning applications in biomedical optics. Active Projects: Currently leads "Integrated Photonics based Thermodilution Curve Measurement" (2023-2029) and teaches courses like Cardiovascular Fluid Mechanics and Project Biomechanics through 2025. Media Engagement: Featured in professional commentaries on mathematical modeling for heart valves (2021) and ultrasound simulation advancements (2023).