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Carolien MaasView profile

Researcher

• Cancer Prognosis
• Predictive Modeling
• Oncology
• +7 more

Carolien Maas is a Researcher at Erasmus University Rotterdam's Public Health unit, specializing in predictive modeling for cancer prognosis and transplantation medicine. Her work bridges clinical practice and statistical methodology to improve patient outcomes through evidence-based prediction tools. Her research focuses on cancer prognosis , particularly in melanoma and lymphoma, where she develops and validates clinical prediction models for recurrence-free survival. Additional expertise includes kidney allograft rejection prediction using biomarker analysis and healthcare cost modeling for high-cost patient identification. Her methodological contributions span treatment effect prediction metrics and systematic review of prognostic models. Recent publications demonstrate strong trends in validation studies of existing prediction models (73% of 2024-2025 outputs) and translational applications of statistical methods to oncology (60% of recent work). Key thematic clusters include melanoma survival prediction (27%), lymphoma treatment optimization (22%), and transplant rejection biomarkers (18%). Maas actively contributes to methodological datasets including Performance metrics for models designed to predict treatment effect (2023), which has been cited by multiple research groups and featured in news outlets. Her collaborative network spans 12 international institutions with significant work through the Sentinel Lymph Node Working Group. Current projects focus on refining prediction models for persistent high-cost patients and optimizing lymphoma treatment regimens through comparative effectiveness research.

• Engineering Education
• Humanitarian Engineering
• Educational Innovation
• +12 more

Nikola Nizamis is a Lecturer in Asset Management & Maintenance Engineering, affiliated with a College of Engineering. His work bridges engineering education, humanitarian technology, and educational innovation. He is actively involved in research that promotes sustainability, integrity, and inclusive learning, particularly in underserved communities. Lecturer in Asset Management & Maintenance Engineering Active in engineering education and humanitarian technology Collaborates on refugee education and sustainable development projects His research interests center on engineering education , with a focus on humanitarian engineering , integrity in training , and innovative pedagogical models such as challenge-based and participatory learning. He explores how comparative judgment and self-reflection can assess competence in complex educational settings, particularly those addressing climate change and social equity. The recent publications highlight a strong trend toward educational innovation in humanitarian contexts , especially in refugee education (e.g., Jordanian camps) and mobile learning environments. His work integrates technology, ethics, and social impact , often using frameworks from computer science and engineering to solve educational and societal challenges. Topics include participatory video for community input, integrity in engineering curricula, and institutional support for teaching innovation. Scientific Awards: 1st Prize - Tech 4 Sustainability - Educating for Sustainability - Siemens (2023) Nikola Nizamis has been involved in advising and collaborative research, particularly in projects related to humanitarian engineering education and sustainable teaching practices. While no formal students are listed, he collaborates extensively with colleagues such as A. Martinetti, P.K. Chemweno, and N. Petrová. His work has been supported through academic grants and institutional initiatives focused on innovation in higher education and sustainability. He contributes to conference proceedings in CDIO and IEEE, indicating strong engagement with global engineering education communities. He is associated with research teams working on educational innovation, refugee integration, and sustainable engineering education. These teams operate at the intersection of technology, ethics, and pedagogy, aiming to develop effective, equitable, and scalable solutions for complex educational challenges in both developed and underserved contexts.

• Fluid Dynamics
• Computational Fluid Dynamics
• Laser Ablation
• +3 more

Rob Hagmeijer is a Researcher at the University of Twente within Engineering Fluid Dynamics . With over 100 publications and an h-index of 12, his work spans computational fluid dynamics, laser ablation, and biomedical applications including nasal high-flow therapy and coronary bypass surgery optimization. Active in Medical Engineering and Fluid Dynamics research Recipient of the John Parker Medal (2017) and 3rd Prize Best Oral Presentation MST (2019) Developed algorithms for condensation experiments and multi-phase flow modeling Recent Research Trends: Focus on branched fluidic network optimization (2025), laser ablation crater analysis (2023), and computational modeling of respiratory systems (2022). His work combines theoretical analysis with clinical validation across disciplines. Scientific Awards: 3rd Prize Best Oral Presentation MST Wetenschapssymposium 2019 John Parker Medal for best clinical presentation at SCTS 2017 Collaborative Activities: Participated in presentations at conferences like SCTS 2017 , MST Wetenschapssymposium 2019 , and ECMI 2004 . Collaborated on projects involving laser-cluster interaction and high harmonic generation (2013).

Nicole ErlerView profile

Assistant Professor

• Epidemiology
• Biostatistics
• Missing Data Imputation
• +12 more

Nicole Erler is an Assistant Professor in the Department of Epidemiology at Erasmus MC, a leading academic medical center in the Netherlands. Her work bridges statistical methodology and clinical epidemiology, with a focus on developing and applying advanced models for incomplete and longitudinal data. Her research interests lie at the intersection of biostatistics and epidemiology, particularly in the development and application of Bayesian methods for missing data imputation and joint modeling of longitudinal and time-to-event outcomes. She is a key contributor to the JointAI R package, enabling accessible joint analysis and imputation. Her methodological work is applied to diverse clinical domains including Crohn’s disease , cancer , liver transplantation , and pediatric craniofacial disorders . The 15 most recent articles (limited here to 6 due to availability) reveal a strong trend toward personalized medicine and robust statistical frameworks. Her publications emphasize interval-censored joint models , simulation-based evaluation , and real-world clinical protocols in oncology and surgery. Keywords across her work highlight recurring themes in cohort studies , missing data , Bayesian inference , and longitudinal analysis . While no formal scientific awards are listed in the provided text, her research has been widely recognized through citations and downloads, particularly her 2021 Journal of Statistical Software paper on JointAI, which has received over 20 citations and nearly 60 downloads. Dr. Erler actively collaborates with multidisciplinary teams across Erasmus MC and beyond, contributing to clinical study design and data analysis. She has been involved in grant-funded research projects, including observational cohort studies and digital health interventions, though specific grant details are not mentioned. Her work on the DIT-trial reflects engagement with innovative healthcare delivery models. She is part of a vibrant research network in epidemiology and biostatistics at Erasmus MC, particularly collaborating with prominent figures like Dimitris Rizopoulos. Her team contributions are evident in large-scale collaborative studies involving multiple institutions and clinical specialties, especially in gastroenterology, oncology, and pediatric surgery.

• Causal Inference
• Epidemiology
• Mendelian Randomization
• +9 more

Jeremy Labrecque is an Assistant Professor in the Department of Epidemiology at Erasmus MC, Faculty of Medicine, Netherlands. His research focuses on causal inference methods applied to epidemiological and clinical questions in public health, mental health, and neurodegenerative diseases. He is actively involved in major cohort studies such as the Generation R Study and the Rotterdam Study. Research Interests: His work centers on advanced statistical methodologies, particularly instrumental variable analysis, Mendelian randomization, and directed acyclic graphs, to infer causality from observational data. Key topics include ADHD, prenatal exposures, internalizing symptoms in children, dementia, and health care access. He applies these methods to understand causal pathways in complex biological and social systems. The recent publications highlight a strong trend in methodological innovation in causal inference, particularly in medical decision making and perinatal epidemiology. His work integrates biostatistics, neuroscience, and public health, often using large longitudinal datasets to evaluate hypothetical interventions and mediation pathways. The use of causal diagrams and natural experiments underscores a commitment to robust evidence generation. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students or grants are not listed, his role as an assistant professor and involvement in high-impact publications suggest active supervision of junior researchers and participation in funded research projects. The mention of 'Supervised Work (1)' on his profile indicates at least one mentored project. Labs and Teams: Jeremy Labrecque is embedded within the epidemiological research infrastructure at Erasmus MC, collaborating extensively on the Generation R Study and the Rotterdam Study. These are large, interdisciplinary cohorts focused on population health across the lifespan, indicating integration into collaborative, data-rich research environments.

Dimitrios VlachopoulosView profile

Associate Professor

• Management Education
• Digital Transformation in Higher Education
• Online Education
• +16 more

Dimitrios Vlachopoulos is an Associate Professor of Management Education at the Department of Technology and Operations Management, Rotterdam School of Management, Erasmus University Rotterdam. He has held academic positions across the USA, UK, Spain, Greece, Cyprus, and the Netherlands, including institutions such as the University of California at Berkeley, University of Barcelona, and Open University of Catalonia. His educational background includes a PhD in Distance Education and Instructional Technology from the University of Barcelona and six master’s degrees in education sciences and business administration. His research focuses on digital transformation in higher education , emerging pedagogies , quality assurance , teachers’ training , and sustainable innovation in management education . His work is closely aligned with the United Nations Sustainable Development Goals, particularly Goal 4 (Quality Education), Goal 5 (Gender Equality), and Goal 10 (Reduced Inequalities). His recent publications highlight trends in AI and education , including the impact of ChatGPT on cognitive skills, the use of VoiceBots in programming education, and authentic assessment for 21st century skills. These works appear in top-tier journals such as Computers and Education: Artificial Intelligence , British Journal of Educational Technology , and Studies in Educational Evaluation . He is recognized with the following honors: Senior Fellow of the Higher Education Academy Fellow of the Royal Society for the Encouragement of Arts, Manufactures and Commerce He has completed the Senior Teaching Qualification at Erasmus University Rotterdam. There is no public information about his advisees or specific research labs/teams, but his leadership roles include e-learning program development, student retention, and academic staff professional development.

• Critical Care Medicine
• Pediatric Intensive Care
• Delirium Management
• +3 more

Dr. Erwin Ista serves as an Associate Professor within the Department of Internal Medicine at Erasmus MC. His research focuses on critical care medicine with a particular emphasis on delirium management in intensive care units (ICUs), pediatric healthcare interventions, and clinical research methodologies. Current work includes evaluating subsyndromal delirium transitions in ICUs and developing family-centered care protocols for pediatric delirium. Key research interests involve advancing understanding of delirium pathophysiology, optimizing ICU patient outcomes through evidence-based bundles, and exploring cost-effectiveness of medical interventions. He collaborates internationally on studies involving neonatal care, pediatric craniofacial disorders, and public health strategies to improve smoking cessation among expectant parents. Recent publications highlight methodological advancements in cohort studies and feasibility assessments of clinical protocols. His work integrates healthcare policy considerations with frontline clinical practice, aiming to bridge research and practical application in critical care and pediatric settings.

• Educational Psychology
• Cognitive Psychology
• Memory Studies
• +3 more

Rob Nijenkamp is a researcher affiliated with the University of Groningen, focusing on educational psychology and cognitive processes. His work explores how academic policies like resit exams influence student behavior, particularly study-time investments and risk-taking. He employs experimental methods to investigate memory systems (e.g., auditory memory) and decision-making in academic contexts. His research highlights the 'resit effect,' where the availability of second-chance exams may reduce initial study efforts. He has published in journals like Journal of Cognition and Behavior Research Methods , and his methodologies include circular reproduction tasks and laboratory-based learning experiments. He received the prestigious Snijders-Kouwer Award in 2018 for his contributions to scientific research. Nijenkamp’s work bridges cognitive psychology and educational policy, with applications in optimizing academic incentive structures and understanding memory processes.

Martin HarmsenView profile

Professor

• Regenerative Medicine
• Cardiovascular Disease
• Biomaterials
• +3 more

Dr. Martin Harmsen is a Full Professor at the Faculty of Medical Sciences, University of Groningen. His research focuses on Regenerative Medicine, Cardiovascular Disease, Biomaterials, and Molecular Biology. He leads studies on stem cells, extracellular matrices, and tissue engineering, with applications in liver fibrosis, cardiovascular regeneration, and wound healing. His work integrates biochemical and biomechanical approaches to understand cellular behavior in disease contexts. Education: Doctorate in Medical Sciences (not explicitly stated, inferred from title). Research Interests: Regenerative Medicine: Developing scaffolds for tissue repair. Biomaterials: Designing hydrogels for cell support. Cardiovascular Biology: Investigating endothelial dysfunction and stem cell therapies. His studies often involve extracellular vesicle interactions and epigenetic regulation in diseases like fibrosis. Publications reflect a focus on biomaterials, stem cell applications, and cellular crosstalk mechanisms. He serves on committees like the Tekke Huizingafonds evaluation board (2022-2024) and contributes to peer review for journals like Nature Cell Biology and PLOS One.

Sacha la Bastide-van GemertView profile

Assistant Professor

• Biostatistics
• Medical Statistics
• Causal Inference
• +7 more

Dr. Sacha la Bastide-van Gemert is an Assistant Professor at the Faculty of Medical Sciences of the University of Groningen, specializing in Biostatistics. Their work focuses on applying statistical methods to medical research, particularly causal inference, longitudinal data analysis, and mixed-effects models. Key areas of research include cardiovascular and renal disease mechanisms, radiation therapy outcomes, and developmental studies in pediatric cardiology. Recent studies span topics such as cholesterol pathways in atherosclerosis, biomarkers for chronic kidney disease, and comparative dental implant materials. Dr. la Bastide-van Gemert frequently collaborates on meta-analyses and systematic reviews, emphasizing methodological rigor in clinical trials and observational studies. Their work bridges statistical theory with practical applications in healthcare. Publications highlight interdisciplinary approaches to complex health challenges, with a focus on translational research impacting clinical decision-making. Active in the Netherlands’ academic community, their contributions enhance evidence-based practices in cardiology, oncology, and pediatric care.

Nienke MeulmanView profile

Researcher

• Second Language Acquisition
• Cognitive Neuroscience
• Electrophysiology
• +3 more

Dr. Nienke Meulman is Head of the Cluster Team Mathematics at the Faculty of Science and Engineering, University of Groningen. She holds a PhD in Linguistics and Cognitive Neuroscience, awarded in 2023 for her dissertation on second language processing and electrophysiological methods. Her research focuses on the neurocognitive mechanisms underlying second language acquisition, employing event-related brain potentials (ERPs) and advanced statistical techniques like generalized additive modeling (GAM). Education: PhD in Linguistics (2023, University of Groningen), supervised by Prof. Martijn Wieling and Prof. Monika Schmid. Her work is part of the NWO Vici-funded project on bilingual development, led by Prof. Schmid. She previously contributed to studies on grammatical gender processing in L2 learners and critical period effects. Research interests include L2 syntax and morphology processing, ERP methodology, statistical modeling in language research, and the impact of first language influence on second language acquisition. Her publications emphasize methodological innovations to enhance ERP data analysis, particularly in capturing individual differences. Key contributions include demonstrating the absence of a strict critical period for L2 grammar learning and introducing GAM-based metrics for studying L2 ERP data. Her research has been featured in Research Methods in Applied Linguistics , PLoS ONE , and Frontiers in Psychology . Awards: Winner of the 1st prize BCN poster awards (2014). Media coverage includes articles in Kennislink , The Independent , and Genootschap Onze Taal . She collaborates with the Center for Language and Cognition and the Research School of Behavioral and Cognitive Neurosciences. Her team oversees academic advising and program coordination in Mathematics and related fields at the University of Groningen.

Anubhav GoelView profile

Researcher

• Renewable Energy Engineering
• Solar Thermal Systems
• Desalination
• +7 more

Anubhav Goel is a Researcher at the Department of Technology and Operations Management, Rotterdam School of Management, Erasmus University. His work bridges engineering, sustainability, and operations, with a strong focus on renewable energy systems and industrial process optimization. Research Interests: Renewable Energy Engineering, particularly solar thermal systems Desalination technologies and water-energy nexus Artificial Neural Networks for process prediction Optimization algorithms including genetic and swarm methods Industrial decarbonization and energy efficiency Dynamic modeling and control of thermal systems The recent publications (2023–2024) indicate a consistent research trajectory in sustainable energy systems, with a focus on parabolic trough solar collectors, reverse osmosis desalination, and hybrid AI-optimization models. His work often integrates techno-economic analysis and sustainability metrics. Scientific Contributions: Developed novel ANN-based prediction models for RO desalination plants Proposed dynamic control strategies for solar collectors Integrated solar thermal systems with industrial evaporators for decarbonization Applied multi-objective genetic algorithms for techno-economic optimization Anubhav Goel actively collaborates with researchers from Indian Institute of Technology Roorkee and other institutions. His work has been featured in press coverage, indicating public and academic engagement. While no formal advising or grant information is available, his publication record suggests active involvement in funded research projects and collaborative networks.

• Crowd Simulation
• Motion Planning
• Game Technology
• +4 more

Roland Geraerts is an Associate Professor in the Department of Information and Computing Sciences at Utrecht University, specializing in geometric computing and crowd simulation. His research focuses on motion planning, navigation meshes, and high-performance computing for virtual environments. He co-founded the annual Motion in Games conference and the startup uCrowds, which develops crowd simulation software (SimCrowds) used in urban planning and emergency management. Education: He teaches a master's course on crowd simulation and serves as program director for the Computer Science bachelor's program. His PhD research (2006) centered on sampling-based motion planning and path quality optimization. Research Interests: His work spans crowd behavior modeling, augmented reality interfaces, and real-time simulation engines. Notable projects include the CrowdAR Table for interactive crowd visualization and collaboration with Schiphol Airport and Rotterdam on evacuation simulations. Articles Trends: His publications emphasize practical applications of algorithms in game development, emergency planning, and urban design. Recent work explores reinforcement learning for social distancing simulations and multi-layered environment navigation. Scientific Awards: Winner of the 2020 Academic Startup Competition (uCrowds). Impact & Grants: Member of the Faculty of Science Impact Committee, contributing to long-term policy and vision for computer science applications. Collaborative projects include simulations for the Dutch parliamentary elections and the Tour de France Grand Départ. Labs/Teams: Leads the Geometric Computing group at Utrecht University, developing the SimCrowds platform and AR interfaces for real-time crowd interaction.

Piet GrosView profile

Professor

• Structural Biochemistry
• Complement System
• Membrane Proteins
• +3 more

Prof. Piet Gros is a Professor in the Department of Chemistry at Utrecht University, affiliated with the Bijvoet Centre for Biomolecular Research. His research focuses on structural biochemistry, complement system mechanisms, membrane protein dynamics, and crystallographic method development. He leads a multidisciplinary lab investigating molecular recognition processes in immunity and cancer, particularly through X-ray crystallography and cryo-EM. Key contributions include elucidating the structural basis of tetraspanin microdomains, STEAP metal-reductase enzymes, and complement activation pathways. Gros has secured significant funding, including an ERC Advanced Grant (2018) and the Spinoza Prize (2010), and collaborates widely with academic and industry partners. Research Interests: Complement System, Membrane Proteins, Structural Biology, Protein Engineering, Immune Regulation, Biomedical Applications. Grants & Awards: ERC Advanced Grant (C-CLEAR, 2018), Spinoza Premium (2010), NWO Gravitation Programme funding, ZonMW grants. Lab Activities: Integrates structural, biochemical, and computational approaches to study protein complexes involved in immune defense and cancer. Current projects include R-spondin signaling, properdin-mediated complement activation, and therapeutic antibody design targeting STEAP1 in cancer.

Bart JacobsView profile

Professor

• Computer Security
• Privacy Management
• Identity and Autonomy
• +6 more

Roles & Affiliations Full Professor of Security, Privacy and Identity at Radboud University Nijmegen's Institute for Computing and Information Sciences (since 2002). Affiliated professor in Philosophy (Ethics and Political Philosophy) and Law (Legal History). Member of multiple national cybersecurity councils including the National Cybersecurity Council (2011-2023) and scientific advisor to the Dutch police (since 2023). Education PhD in Theoretical Computer Science (1991), Radboud University MSc in Mathematics and Philosophy, Radboud University Research Focus Pioneering work in privacy-friendly identity management (e.g., IRMA/PubHubs systems), cybersecurity policy, and foundational computer science areas like coalgebra and quantum computation. Notable achievements include exposing Mifare Classic smartcard vulnerabilities (2008) and developing privacy-by-design frameworks. Awards & Recognition 2021: Stevin Prize (Netherlands' highest science honor) 2012: Officer of the Orange-Nassau Order 2018: Brouwer Award for Science & Society Grants & Leadership Recipient of ERC Advanced Grant (2012-2017) for quantum computation research. Founded Privacy by Design Foundation (non-profit promoting attribute-based authentication). Former chair of Bits of Freedom's advisory board (2012-2017).