برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱-۱۵ از ۱۵۳ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.
مدرس ارشد
Dr. Yfke Ongena is a Senior Lecturer in Communication and Information Sciences at the University of Groningen's Faculty of Arts. She holds a PhD from Vrije Universiteit Amsterdam (2005) and has extensive postdoctoral experience, including at the University of Nebraska-Lincoln (2006). Her research focuses on survey methodology, questionnaire design, and interviewer-respondent interaction. Key projects include the NWO-funded 'Mixed modes in the European Social Survey' (2011–2015) and current work on socially desirable responses in surveys. Education: BSc/MSc in Communication Science (University of Groningen), PhD in Survey Methodology (VU Amsterdam). Awards include the GOR25 Poster Award (2025). She has authored over 55 publications, with recent work addressing AI in medical diagnostics, physician cost awareness, and gender equity in academic careers. Research Interests: Survey design challenges, measurement bias, representation in surveys, and the integration of AI in healthcare. Active in professional networks like the European Survey Research Association and GESIS. Grants and Projects: NWO-funded projects, ESRA conference involvement, and collaborations with institutions like the University of Twente and Groningen Radiology departments. Currently investigates patient perspectives on AI in prostate cancer diagnosis and residency training programs in radiology.
Shafak Al-Uwini is a researcher at the Faculty of Medical Sciences, University of Groningen, with a focus on prostate cancer and radiation therapy. They are affiliated with the Personalized Cancer Treatment (PCT) and Innovative Clinical Studies and Long-term Treatment Consequences in Cancer (InClinS) research groups. Research Interests: Shafak Al-Uwini specializes in prostate cancer management, radiation therapy, imaging techniques (e.g., PSMA-PET, CT), and treatment planning. Their work addresses clinical decision-making, salvage radiotherapy, and automated radiotherapy planning. Publication Trends: Recent articles emphasize the role of PSMA-PET in prostate cancer management, synthetic CT generation for radiotherapy, and multidisciplinary approaches to metastatic disease. Topics include imaging, automation, and clinical outcomes. Professional Activities: They have delivered invited presentations (e.g., Prostaat radiotherapie - de rol van protonen, 2018) and collaborated internationally (e.g., Technische Universität Dresden, 2018).
Srirang Manohar is a Full Professor at the TechMed Centre , University of Twente, specializing in Multi-Modality Medical Imaging . His work focuses on photoacoustic imaging, ultrasound, and tomography, with clinical applications in breast cancer, prostate cancer, and thyroid disorders.
Eshwari Dathathri serves as a Researcher at the Biomedical and Environmental Sensorsystems group within the MESA+ Institute at the University of Twente, focusing on translational cancer diagnostics with emphasis on prostate malignancies and liquid biopsy technologies. Her core research domains include: Circulating Tumor Cell (CTC) isolation and characterization (76% fingerprint relevance) Neoplasm biomarker discovery for metastatic prostate cancer Drug delivery systems utilizing chitosan and polyvinyl alcohol matrices Swelling dynamics in pharmaceutical formulations Cancer-associated fibroblast profiling in castration-naïve disease Analysis of her 2022-2025 publications reveals consistent innovation in CTC enrichment techniques, secretome profiling, and extracellular vesicle analysis. Her work bridges biomedical engineering and clinical oncology, developing immunomagnetic separation methods from leukapheresis products while identifying novel biomarkers like cell cycle-dependent PSA secretion. Key trends show progression from basic drug delivery mechanisms toward clinical validation of diagnostic tools for treatment monitoring. Dathathri operates within the MESA+ Institute's interdisciplinary ecosystem, collaborating with clinical partners including Institut Curie (Paris) and Netherlands Cancer Institute. Her research leverages advanced sensor technologies for environmental and biomedical applications, with recent work focusing on functional characterization of circulating cancer-associated fibroblasts as potential therapeutic targets.
John Martens is a Full Professor in the Department of Medical Oncology at Erasmus MC, a leading academic medical center in the Netherlands. His research is highly active and internationally recognized, focusing on key areas in cancer biology and translational oncology. Academic Rank: Professor Institution: Erasmus MC Department: Medical Oncology His research interests are deeply rooted in understanding the molecular mechanisms of cancer progression and therapy resistance. Key areas include breast cancer , circulating tumor cells (CTCs) , circulating tumor DNA (ctDNA) , cell-free DNA , genomics , and molecular biomarkers . His work bridges fundamental science and clinical applications, aiming to improve cancer diagnosis and treatment. The most recent publications highlight innovative approaches in cancer research, such as developing protocols for mapping virus integration sites in therapy-resistant genes, using label-free microscale technologies to isolate heterogeneous CTCs, characterizing inflammatory breast cancer at the molecular level, identifying biomarkers for metastatic urothelial cancer, and exploring bispecific antibody-mediated immunotherapy. These studies reflect a strong interdisciplinary focus combining oncology , genomics , nanotechnology , and immunology . John Martens has a prolific publication record with over 376 research outputs, including articles, reviews, and a doctoral thesis. His work is frequently cited and has attracted attention on academic platforms such as Mendeley and peer review sites. He has supervised 22 research works, indicating a strong commitment to mentoring the next generation of scientists and clinicians. Scientific Contributions and Recognition: Extensive research in breast and prostate cancer Leader in ctDNA and CTC research Pioneer in molecular characterization of therapy resistance Active in immunotherapy development Contributor to national and international collaborative networks He actively collaborates across borders and disciplines, contributing to clinical trials and translational research. While no specific awards or grants are listed in the provided text, his high research output and leadership position suggest significant recognition in the oncology community. He leads or contributes to major research initiatives such as the INFLAME registry study and develops novel diagnostic and therapeutic strategies. His lab likely focuses on liquid biopsy technologies, tumor microenvironment interactions, and precision oncology.
استادیار
Artem Kaznatcheev is an Assistant Professor at Utrecht University in the Department of Mathematics and Department of Information and Computing Sciences within the Science faculty. His research bridges theoretical computer science and evolutionary biology to analyze biological and social systems through an algorithmic lens. Current role since January 2023 Recruiting PhD students and postdocs Previously: James S. McDonnell postdoctoral fellow at University of Pennsylvania His work focuses on: Computational complexity of evolution Evolutionary game theory Algorithmic biology Mathematical modeling of cancer dynamics Cultural evolution of science Selected article trends show: Interdisciplinary integration of computer science and cancer biology Key themes: fitness landscapes, evolutionary games, treatment optimization 2021-2020 publications dominate Mathematical formalisms applied to biological and social phenomena Scientific contributions include: James S. McDonnell Foundation Independent Postdoctoral Fellowship 2019 Genetics paper on computational complexity as evolutionary constraint 2017 Nature Ecology & Evolution study on fibroblast-drug interactions in cancer Collaborative environments: Worked with Theory, Evolution and Games Group Previous affiliations: Oxford University, University of Pennsylvania, Moffitt Cancer Center, McGill University Developed teaching roles at Oriel College (Oxford)
پژوهشگر
Ivo Schoots is a Researcher at Erasmus MC in the Radiology & Nuclear Medicine department. His work focuses on prostate cancer , magnetic resonance imaging (MRI) , and artificial intelligence applications in medical imaging . Recent research trends include: AI-driven MRI reconstruction for cancer screening Comparative analysis of AI vs manual prostate cancer detection Radiomics for Gleason score differentiation Standardization of PI-RADS protocols Meta-analytic approaches to biopsy techniques
پژوهشگر
Dr. Steven Petit is a Researcher in the Radiotherapy department at Erasmus MC. His research focuses on advanced radiation therapy techniques, imaging systems optimization, and radiation-induced toxicity prediction. Key areas include prostate and lung cancer treatment planning, CBCT imaging accuracy, and HPV-related oropharyngeal carcinoma diagnostics. Recent work explores ex vivo functional assays for mucosal toxicity prediction and MRI-based cancer subtype differentiation. He contributed to a European Society of Radiotherapy and Oncology mentoring program evaluation, emphasizing professional development initiatives in oncology. Collaborations span multidisciplinary teams in molecular biology, radiology, and clinical oncology. His research outputs include 72 publications with recent emphases on radiation dosimetry, imaging technology advancements, and translational research in cancer treatment.
استادیار
Walter Noordzij is an Assistant Professor at the University of Groningen within the Faculty of Medical Sciences , affiliated with the Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE) group. His research focuses on nuclear medicine imaging technologies , particularly PET/CT applications in oncology, cardiology, and healthcare economics. He has contributed to studies on cardiac sympathetic innervation in amyloidosis, financial literacy of medical residents regarding imaging costs, and prostate cancer management using PSMA PET/CT. Recent work also addresses physician workload trends in Dutch nuclear medicine and innovative parametric imaging techniques. Research interests include positron emission tomography-computed tomography (PET/CT) , fluorodeoxyglucose (FDG) imaging , and multidisciplinary approaches to prostate cancer diagnosis . He actively collaborates internationally, evidenced by his participation in the 19th International Conference on Radiation Therapy and the EANM Focus Meeting on Prostate Cancer . No awards are explicitly listed, but his involvement in high-impact studies suggests active recognition in the field. He has supervised 3 students but their names are not disclosed. His work spans clinical imaging methodology, translational research, and healthcare system analysis, reflecting a commitment to bridging basic science and clinical practice.
Dr. Tim Hulsen is a Professor of AI & Data-Supported Healthcare at the Knowledge Center for Healthcare Innovation, Rotterdam University of Applied Sciences, where he leads research on the application of data science and artificial intelligence in healthcare. He is also actively involved in the HR Datalab Healthcare and maintains a dual role as Senior Data & AI Scientist at Philips. His work bridges academic research and industry application, focusing on practical implementations of AI technologies in healthcare settings. Tim completed his Biology studies at Radboud University Nijmegen with a strong medical-biological component. After internships in Molecular Animal Physiology and Bioinformatics, he pursued a PhD and postdoctoral position at Radboud University Nijmegen in collaboration with NV Organon (later Schering-Plough). His academic journey transitioned into industry when he joined Philips Research in Eindhoven in 2009, where he has held various scientific positions focused on data management, big data, and artificial intelligence in healthcare. Dr. Hulsen's research focuses on the practical application of data science and AI in healthcare, emphasizing the importance of good data quality through sound data management practices, adherence to the FAIR Guiding Principles, and the use of ontologies and standards. He places particular emphasis on the explainability and responsible use of AI systems in clinical settings. His recent research interests have expanded to include generative AI (GenAI) applications in healthcare, where he seeks to connect various professorships and departments within the Rotterdam University of Applied Sciences with the broader medical technology sector. An analysis of Dr. Hulsen's recent publications reveals a strong focus on AI applications in healthcare, particularly in oncology and prostate cancer research. His work demonstrates a progression from foundational data management and bioinformatics to cutting-edge AI applications, with increasing emphasis on responsible implementation and practical healthcare solutions. The publications span technical aspects of data science, clinical applications, ethical considerations, and future directions for AI in healthcare. Dr. Hulsen has made significant contributions to the academic community through his editorial work, serving as an Editorial Board Member for BMC Cancer and Frontiers Medicine and Public Health, and regularly reviewing scientific publications. While specific awards aren't detailed in the available information, his extensive publication record (over 50 scientific publications) and leadership roles indicate recognition within his field. Throughout his career, Dr. Hulsen has demonstrated strong leadership in research projects, having led various initiatives, co-authored international project proposals, and managed work packages within grant projects. His collaborative approach is evident in his work connecting academic research with industry applications, particularly through his dual roles at Rotterdam University of Applied Sciences and Philips. His work with the Movember GAP3 consortium and PIONEER big data platform for prostate cancer demonstrates his commitment to large-scale collaborative research that addresses real-world healthcare challenges. Dr. Hulsen is actively involved with the HR Datalab Healthcare and the AI & Data-Supported Healthcare research group. He collaborates extensively with various stakeholders in the healthcare ecosystem, including medical institutions like Erasmus MC, technology companies, and research consortia. His current work focuses on practical applications such as registration burden reduction using generative AI, non-invasive monitoring, and optimization of diagnostics and prevention strategies. Through these initiatives, he aims to develop explainable knowledge that will train future healthcare professionals in the responsible use of AI.
Willem Stoorvogel is a Professor in the Department of Biomolecular Health Sciences at the Faculty of Veterinary Medicine, University of Utrecht. His research focuses on molecular mechanisms regulating endosome dynamics, antigen presentation via MHC class II molecules, and the immunological role of exosomes. He also investigates prostasomes in prostate biology. Department: Biomolecular Health Sciences School: Faculty of Veterinary Medicine University: University of Utrecht Research interests include: Endosome dynamics and sorting of medically relevant cargo molecules MHC class II processing and antigen presentation in immune responses Exosome biogenesis and immunological functions in antigen-presenting cells Prostasomes derived from prostate epithelial cells in semen Ubiquitination and intracellular transport mechanisms
Prof. Dr. J. (Hans) Kromhout is a Professor at the Faculty of Veterinary Medicine, Utrecht University, affiliated with the Institute for Risk Assessment Sciences (IRAS) and the One Health Chemical research domain. His expertise spans occupational hygiene and epidemiology, focusing on health effects of chemical and physical agents like electromagnetic fields, pesticides, and ultrafine particles. He has led large international studies in industries such as asphalt, rubber, and agriculture, as well as community-based research on cancer and neurodegenerative diseases. Current projects include occupational exposure to chromium-6 and pesticides linked to prostate/breast cancer. Chair of the Working Group 2 for the European Code Against Cancer (ECAC5) update. Editor-in-Chief of Occupational and Environmental Medicine (BMJ Publishers). Research areas include Life Sciences and Pathways to Sustainability. He has contributed to media discussions on glyphosate, MRI scanner risks, EMF exposure, and Parkinson’s disease-pesticide links since 2014. Secondary roles: Advisor to WHO on radiofrequency fields, member of advisory boards for Annals of Work Environment and Health and La Isla Network. Contact via h.kromhout@uu.nl or visit his profile on Utrecht University’s research portal.
Laura Mezzanotte is an Associate Professor in the Department of Radiology & Nuclear Medicine at Erasmus MC, where she conducts cutting-edge research in molecular imaging, bioluminescence, and targeted cancer therapies. Her work bridges pharmacology, oncology, and nanotechnology to develop innovative diagnostic and therapeutic strategies. Her research interests focus on bioluminescence imaging , luciferase-based reporter systems , nanoparticle drug delivery , and photodynamic therapy . She explores applications in glioblastoma , prostate cancer , and immunomodulation , particularly in the context of T cell exhaustion and immune checkpoint inhibition. Her work leverages molecular tools such as aptamers, NIR-dyes, and PSMA-targeted compounds for precision oncology. The recent trend in her publications highlights a strong emphasis on in vivo imaging , combination therapies , and nanocarrier optimization . Her studies integrate preclinical validation with molecular design, aiming to translate imaging and therapeutic innovations into clinical applications. Topics span from antimicrobial implants to dual-color bioluminescence systems for immune monitoring. Scientific Contributions: Developed novel bioluminescent reporter models for immunological studies. Engineered targeted nanoparticles for cancer visualization and treatment. Explored combination therapies involving photodynamic treatment and immunotherapy. Advanced understanding of material-implant interactions in antimicrobial contexts. She has supervised multiple research projects, indicating active mentorship in training the next generation of scientists. Her collaborative network spans immunology, oncology, and materials science, reflecting interdisciplinary research. While no specific awards are listed, her consistent high-impact publications suggest recognition in her field. She leads research in a dynamic lab environment focused on translational molecular imaging and therapeutic development.
پژوهشگر
Kim de Vries is a Researcher at the Erasmus MC specializing in Radiation Therapy with a focus on prostate cancer and advanced imaging techniques. Their work spans clinical outcomes, treatment optimization, and translational research. Research Interests : Kim de Vries is deeply involved in studies related to prostate cancer , particularly examining post-treatment side effects and the role of modern imaging modalities like PSMA PET/CT and photon-counting CT in radiotherapy planning. Key areas include ultra-hypofractionation , stereotactic body radiation therapy , and patient-reported outcomes . Collaborative Networks : Active in multidisciplinary research, Kim collaborates with urologists, radiologists, and oncologists across institutions, as evidenced by co-authorships on prospective cohort studies and conference abstracts.
