Prof. Dr. Ir. Kees Ahaus is a Full Professor at the Erasmus School of Health Policy & Management, specializing in Health Services Management & Organisation. He leads research on value-based healthcare, patient safety, and integrated care models. His work focuses on transforming healthcare systems through innovative payment models, process optimization, and stakeholder collaboration. Affiliations: Chair of the Knowledge Platform 'Right Care and Support in the Right Place', ICAI Stroke Lab collaborator Research Interests: Healthcare policy, quality improvement, crisis management in healthcare, and patient-centered care. Recent projects include developing knowledge agendas for future healthcare landscapes (2050+), analyzing pandemic response strategies, and evaluating cost-effectiveness of fertility care pathways. His research bridges academic insights with practical implementation in hospitals and regional networks. Notable Activity: Presented the 'Right Care and Support in the Right Place 2.0' agenda to the Ministry of Health in 2022. Advising over 17 PhD candidates on topics ranging from dementia care to surgical resource allocation. Active in grants securing funding for initiatives like the ZonMw Safety II Programme and regional oncology networks.
Liudvika Leisyte is a researcher specializing in higher education, academic governance, and policy transformation, with a strong focus on Central and Eastern Europe and international comparisons, particularly in the context of the Bologna Process. Her work is situated within the domain of Knowledge, Transformation & Society, reflecting her interdisciplinary engagement with social sciences and educational policy. Her research interests center on the evolving nature of academic work, including the impacts of New Public Management, research commercialization, academic entrepreneurship, and boundary blurring in scholarly roles. She investigates how governance reforms reshape universities, especially in post-communist and transition contexts. Her comparative studies highlight systemic changes in higher education across national systems, with particular attention to Lithuania, Germany, and the Netherlands. The recent publications and editorial work, especially around the 2023 Research Handbook on the Transformation of Higher Education , demonstrate a sustained scholarly output focused on policy reform, institutional change, and the future of universities in knowledge societies. Her work often intersects with themes of equity, governance, and innovation. She has presented at numerous academic events, including invited talks on academic entrepreneurship and research productivity, indicating active engagement with the international research community. While no formal awards or student advisement information is listed, her editorial leadership and extensive publication record underscore her scholarly influence. She has not been identified as retired, deceased, or former staff, and there is no indication of part-time status.
Anastasija Tetereva is an Assistant Professor in the Department of Econometrics at the Erasmus School of Economics, Erasmus University Rotterdam. Her research lies at the intersection of machine learning and econometrics, with applications in financial markets, real estate pricing, and risk modeling. Her research interests include Machine Learning , Econometrics , Volatility Forecasting , Hedonic Pricing , Financial Sentiment Analysis , and Granger Causality . She applies advanced computational methods to economic and financial data to improve forecasting and decision-making. The recent articles reflect a strong trend in combining machine learning techniques—particularly random forests and hybrid models—with traditional econometric frameworks to analyze volatility, real estate valuations, and financial news causality. Her work demonstrates a consistent focus on improving predictive accuracy in financial and housing markets through data-driven modeling. A Forest Full of Risk Forecasts for Managing Volatility (2022) How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market (2022) Forecasting realized correlations: a MIDAS approach (2019) Sentiment spillover effects for US and European companies (2019) Application of Multivariate Hawkes Graphs to Uncover Granger Causality of Financial News (2018) Anastasija Tetereva has actively contributed to the academic community, including co-organizing the event Financial Econometrics meets Machine Learning (FinEML) in 2023, indicating strong engagement in interdisciplinary research networks. While no direct mention of student advising or grant funding is made in the text, her publication record and collaborative work suggest involvement in research teams and potential supervision of junior researchers. She is affiliated with the research network in financial econometrics and machine learning, contributing to a growing interdisciplinary community that bridges computer science and economic modeling. Her work is disseminated through working papers, peer-reviewed journals, and conference presentations, reflecting a robust and current research agenda.
Andreas Bayerl is an Assistant Professor of Marketing at the Erasmus School of Economics, Erasmus University Rotterdam. He holds a PhD in Quantitative Marketing from the University of Mannheim and conducts interdisciplinary research at the intersection of digital behavior, consumer psychology, and data science. His research focuses on how individuals generate, process, and are influenced by digital information, particularly in the context of online reviews and influencer marketing. Using a mixed-method approach—combining large-scale observational data, text and image analysis, and field and laboratory experiments—Andreas investigates behavioral patterns in digital ecosystems. His work has been published in leading journals including Journal of Marketing , Harvard Business Review , MIT Sloan Management Review , and Nature Human Behavior . The most recent publications reveal a consistent focus on digital influence, credibility, and consumer decision-making. Key themes include the effectiveness of micro-influencers, the psychological impact of fake reviews, multimodal analysis of visual and textual content, and experimental validations of marketing strategies across platforms. His methodological rigor and real-world relevance are evident across these works. Andreas has received significant recognition for his contributions, including: H. Paul Root Award for groundbreaking research in influencer marketing He actively teaches in the area of data science and marketing analytics, contributing to the next generation of analytically skilled marketers. While no formal advisees are listed, his role as an assistant professor suggests involvement in student supervision and academic mentorship. His research program appears to be supported by empirical rigor and industry relevance, though specific grants or lab affiliations are not mentioned in the provided text.
Edris Mahtab is a Researcher in the Department of Cardiothoracic Surgery at Erasmus MC, with an extensive publication record of 51 research outputs. His work spans both clinical and technical aspects of cardiac and thoracic surgery, with particular emphasis on innovative surgical approaches and monitoring techniques. Dr. Mahtab's research interests focus on several key areas in cardiothoracic surgery, with significant contributions to heart surgery (100% fingerprint match), lung procedures (84%), aortic valve replacement (78%), and segmentectomy (77%). His work bridges clinical practice with technological innovation, particularly in video-assisted thoracoscopic surgery (58%) and lung transplantation (57%). Analysis of his recent publications reveals a strong trend toward integrating advanced technology with traditional surgical approaches. His work on augmented reality implementation in minimally invasive surgery demonstrates a commitment to enhancing surgical precision through technological innovation. Similarly, his research on mitochondrial oxygenation monitoring reflects an interest in developing better perioperative monitoring systems to prevent complications like acute kidney injury. His publications also show expertise in developing mathematical models for predicting biomarker concentrations following cardiac procedures. Dr. Mahtab has supervised 5 research projects, indicating active involvement in mentoring junior researchers and surgical trainees. His collaborative network extends across multiple institutions, as evidenced by co-authorship on diverse research projects spanning cardiovascular surgery, anesthesiology, and medical technology development. His work has been referenced in Wikipedia pages and discussed across social media platforms including X (formerly Twitter) and Bluesky.
Maren Wehrle is Associate Professor in Practical Philosophy at the Erasmus School of Philosophy, Erasmus University Rotterdam. She holds a PhD in Philosophy from the University of Freiburg (2011) and previously served as a Post-Doctoral Researcher and Lecturer at KU Leuven. Her academic work bridges phenomenology, cognitive psychology, and philosophical anthropology. PhD in Philosophy, University of Freiburg (2011) MA in Philosophy, German Literature, and Historical Anthropology, University of Freiburg (2006) Her research centers on phenomenology , particularly the philosophy of attention, habit, embodiment, and normativity. She explores how lived experience intersects with cognitive science and feminist theory. Her work critically examines concepts like normality, passivity, and the bodily basis of subjectivity. She is deeply engaged in transdisciplinary research, especially through her leadership in the Flagship Integrative Neuromedicine project, which connects philosophy with neuroscience and medicine. The trends in her recent publications reflect a sustained focus on phenomenological theory applied to cognitive and social dimensions—particularly how habits break, how attention mediates reality, and how normality functions as a claim to truth. Her work increasingly integrates philosophical analysis with empirical neuroscience, advocating for a holistic understanding of neurological disorders from molecule to lived experience. She has co-edited significant volumes in the field, including the Husserl Handbuch and Access and Mediation: Transdisciplinary Perspectives on Attention , demonstrating her central role in contemporary phenomenological scholarship. Principal Investigator, Flagship Integrative Neuromedicine (Convergence Health & Technology) Supervision available in: Phenomenology, Cognitive Sciences, Feminist Philosophy, Philosophy of Technology She actively advises PhD candidates and participates in academic and public outreach, delivering lectures and organizing events that bridge philosophy with societal concerns. Her work in the Flagship project exemplifies her commitment to integrating philosophical insight into translational medical research. Maren Wehrle is a core member of the Flagship Integrative Neuromedicine team, a large-scale interdisciplinary initiative involving Erasmus MC, Erasmus University Rotterdam, and TU Delft. This project investigates neurological disorders across biological, psychological, and philosophical dimensions, aiming to develop more effective and socially accepted treatments.
Laura Rosendahl Huber is an Associate Professor in Entrepreneurship at the Department of Strategic Management and Entrepreneurship, Rotterdam School of Management (RSM), Erasmus University. She is also an Affiliated Research Fellow at the Max Planck Institute for Innovation and Competition and was an Associate at the Laboratory for Innovation Science at Harvard (2019–2024). Her academic journey includes a PhD in Economics from the University of Amsterdam, and prior roles as a Senior Research Fellow at Max Planck and a Visiting Fellow at Harvard. Her research focuses on two key themes: (1) the development of human capital and its impact on entrepreneurial decision-making and team performance, and (2) how personal characteristics—particularly gender and role (entrepreneur vs. manager)—influence strategic decisions. She employs field experiments as her primary research method, contributing significantly to understanding gender inequality in entrepreneurship and the effectiveness of entrepreneurship education. Her work has been published in top journals including Journal of Business Venturing , Research Policy , European Economic Review , and Labour Economics . A notable paper, 'Yes, I Can! - A Field Experiment on Female Role Model Effects in Entrepreneurship,' received the Best Empirical Paper Award from the Academy of Management (2018) and Best Paper at the Diana International Research Conference (2019). Her recent publications explore topics such as innovation vouchers, cognitive skills in teams, peer effects in education, and gender dynamics in funding access. Best Empirical Paper Award, Academy of Management (2018) Best Paper Award, Diana International Research Conference (2019) Laura teaches Economics in the Bachelor Business Administration program and serves as a Faculty Mentor in the Global Executive MBA’s Strategic Leadership Development track. She is frequently invited as a guest lecturer on field experiments. Her research contributes to UN Sustainable Development Goals, particularly in quality education and gender equality. She has served as an ad-hoc reviewer for prestigious journals such as Management Science , Research Policy , and Entrepreneurship Theory and Practice .
Xianjing Liu is a Research Fellow at Erasmus MC, affiliated with both the Radiology & Nuclear Medicine and Internal Medicine departments. Their work focuses on interdisciplinary research combining artificial intelligence with medical imaging, cancer epidemiology, and public health interventions. Key areas of interest include facial shape analysis using AI, healthcare technology applications for chronic disease management, and cost-effectiveness evaluations of cancer screening methods. Education details: Completed a doctoral thesis in 2025 titled '3D facial shape analysis: Unraveling environmental, genetic, and health connections through AI-driven methodological advancements,' which demonstrates expertise in AI-driven biomedical research. Research activities prominently feature collaboration between computational methods and clinical applications, particularly in oncology and medical imaging. Recent work emphasizes practical solutions for improving healthcare outcomes through: Development of AI tools for medical image analysis Evaluation of digital health interventions for medication adherence Biomarker-based cancer screening methodologies Cost-effectiveness analyses of diagnostic strategies Publications show a strong focus on translating technical innovations into clinical practice, with contributions to journals like Medical Image Analysis , Cancer Reports , and Health Science Reports .
Catherine Jasserand is an Assistant Professor specializing in Fundamental Rights and Technology at the University of Groningen's Faculty of Law. She holds a PhD in biometrics and privacy from Groningen, an LL.M. in IP and New Technology Law from UC Berkeley, and a Master’s in European Law from Université Panthéon-Sorbonne. Her research focuses on the intersection of AI, biometrics, and fundamental rights, with emphasis on governance frameworks for facial recognition systems and data protection laws. Previous roles include a Marie Curie postdoctoral fellowship at KU Leuven (2020–2023) researching facial recognition in public spaces, and work with the European Parliament, European Central Bank, and University of Amsterdam's IViR institute on IP law. Since 2024, she has been affiliated with STeP at Groningen. Key research areas include EU regulatory frameworks for biometric data, AI ethics, and privacy implications of emerging technologies. She has contributed to projects like INGRESS, TReSPAsS-ETN, and SOUNDS-ETN as an advisory board member. Active in technical conferences, she co-organized workshops on AI for the biometric community with the European Association for Biometrics. Recent work examines the EU AI Act’s impact on biometric data regulation, governance of facial recognition in public spaces, and legal challenges posed by deepfakes. She received an award in March 2024 for her contributions to digital governance research. Ancillary activities include LawTech Research and advising on EU-funded initiatives. Her teaching and research involve advancing interdisciplinary approaches to technology law and policy.
David Smeulders is a Full Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in Engineering Thermodynamics for Energy Systems. He holds a PhD in Physics from TU/e and an MSc in Aerospace Engineering from Delft University of Technology. His academic journey includes roles as an Assistant and Associate Professor at Delft University of Technology and visiting professorships at Ben-Gurion University (Israel) and Le Mans University (France). Research focuses on two core areas: microscale interface processes (e.g., electrokinetic flows, membrane technology, and condensation phenomena) and small-scale renewable energy systems (e.g., hybrid PV/T systems and thermochemical biomass treatment). Key techniques include molecular dynamics and Direct Simulation Monte Carlo modeling. He teaches courses on thermodynamics, gas dynamics, and sustainable energy systems. His work integrates experimental and computational approaches, addressing challenges in energy storage, porous media transport, and fracture mechanics. Notable collaborations include grants from the Negev Desert Large Scale Facility and Pays de la Loire. He contributes to editorial boards and advisory committees globally, emphasizing interdisciplinary energy solutions.
Dr. Katja Heister serves as Department Head of the GeoLab at Utrecht University's Faculty of Geosciences since September 2015. She is responsible for the operation of the GeoLab, including supervision of daily operational processes and development of long-term vision in collaboration with scientists and stakeholders. She works alongside operational manager Bernadette Marchand as part of the lab management team. Dr. Heister's research focuses on soil science and biogeochemistry, with particular emphasis on mineral-organic matter interactions, soil structure development, and contaminant behavior in soil environments. Her work integrates soil physics, chemistry, and microbiology to understand fundamental soil processes using artificial soil systems as experimental models. She has made significant contributions to understanding how clay minerals influence carbon and nitrogen cycling, microbial community development, and pollutant fate in soils. Analysis of Dr. Heister's publication record from 2014-2019 reveals consistent research themes in soil biogeochemistry, with particular focus on artificial soil systems, mineral-organic matter interactions, and contaminant remediation. Her work demonstrates interdisciplinary approaches combining advanced analytical techniques with ecological and geochemical principles to address fundamental questions in soil science. As Department Head of GeoLab, Dr. Heister oversees laboratory operations and strategic development while maintaining active research collaborations. She works closely with scientists across disciplines to advance soil science research methodologies and applications.
Christina Fuller is a researcher at the University of Groningen, active in interdisciplinary research bridging auditory neuroscience, medical data mining, and cancer therapy analysis. Her work primarily focuses on cochlear implants, music perception, and quality of life assessments for hearing-impaired individuals, while also contributing to symptom analysis in oncology through machine learning techniques. Key Research Areas: Cochlear implants, music perception, human-machine collaboration in clinical contexts, and cancer symptom management. Academic Collaborations: Works with institutions like Advanced Bionics and Mandema Foundation, with international partnerships in data science and oncology. Awards: Recognized with the Mandema Stipendium (2016) for auditory perception research and Advanced Bionics Industry Support (2013) for music therapy development in cochlear implant users. Public Engagement: Frequently contributes to public discourse on hearing rehabilitation through media appearances and community-focused presentations. Dataset Contributions: Created open-access datasets on music perception in implant users, hosted at University of Groningen and DataverseNL.
Cynthia Kop is an Associate Professor in the Software Science group at Radboud University Nijmegen. Her research focuses on term rewriting systems and their applications in computational complexity, software verification, and program analysis. She leads the CHORPE and ICHOR research projects and coordinates multiple academic courses including Automated Reasoning and GiPHouse programs. Education: PhD in Computer Science from Vrije Universiteit Amsterdam (2012) Master's degree from Radboud University Nijmegen (2007) Research Interests: Cynthia's work bridges theoretical foundations with practical applications, particularly in higher-order term rewriting systems, constrained rewriting, program equivalence verification, and complexity analysis. She develops analysis tools like WANDA and Cora to automate verification processes. Publication Trends: Her recent articles demonstrate a strong focus on higher-order systems complexity analysis, termination proofs, program equivalence methods, and practical tool implementations for rewriting systems. Work frequently combines theoretical computer science with applied verification techniques. Grants and Projects: Principal Investigator for NWO VIDI project CHORPE (2021-2026) Principal Investigator for NWO TOP project ICHOR (2019-2023) Marie Curie Fellowship for HORIP project (2015-2017) Research Group: Leads a team including PhD students Liye Guo, Kasper Hagens, and Deivid Vale. The group develops formal methods for program analysis through constrained higher-order rewriting systems.
Thijs Defraeye is a Professor and External employee at Wageningen University & Research, specializing in the Food Quality and Design department. His work focuses on interdisciplinary research at the intersection of food science, engineering, and sustainable development, with particular emphasis on reducing food loss and improving food preservation techniques for global food security applications. Dr. Defraeye's research interests center on food quality preservation, refrigeration engineering, and postharvest technology development. His expertise spans multiphysics modeling of food storage systems, evaporative cooling technologies, and cold chain optimization, with special attention to solutions for low- and middle-income countries where food loss represents a critical challenge. His work integrates engineering principles with food science to develop practical, sustainable interventions for perishable goods throughout the supply chain. Analysis of Dr. Defraeye's recent publication record reveals a strong emphasis on practical, engineering-based solutions for food preservation challenges in resource-constrained settings. His research consistently addresses technical aspects of food storage while considering environmental and socioeconomic contexts, with a notable trend toward data-driven optimization of food supply chains and innovative cooling technologies. The interdisciplinary nature of his work bridges food science, thermal engineering, and computational modeling to create sustainable approaches for reducing postharvest losses globally. Dr. Defraeye serves as Promotor (PhD supervisor) for multiple doctoral candidates working on cutting-edge food technology projects. His current supervised research includes optimizing strawberry quality through non-thermal processing and packaging, reducing food loss in strawberry transport through data upcycling, and developing physics-based digital twins of refrigerated trailers for fresh fruit supply chains. These projects demonstrate his commitment to translating research into practical applications that address real-world food system challenges. His research has garnered media attention, with professional coverage highlighting his 'Model to improve fruit transport' in January 2023. The work has been picked up by multiple news outlets and shared across academic platforms, indicating its relevance and impact within both academic and industry circles focused on food security and supply chain optimization.
Tijs Donkers is an Associate Professor in the Control Systems group at the Department of Electrical Engineering , Eindhoven University of Technology. His research focuses on computational control theory for automotive applications, including distributed optimization, battery modeling, and combustion engine control. Academic Background : MSc and PhD (summa cum laude) in Systems and Control from TU/e (2008, 2011) Current Projects : EVERLASTING, LONGRUN, SENSIBAT Research Themes : Networked control systems, event-triggered control, vehicle energy management Recent publications highlight his work in battery state-estimation algorithms , Koopman model predictive control for energy efficiency, and eco-driving strategies for heavy-duty vehicles. His research contributes to UN Sustainable Development Goals related to sustainable transport and renewable energy.
