جستجوی استاد راهنمای دانشگاهی

Wiebe M. de Vos is a Full Professor at the MESA+ Institute, University of Twente, where he leads research in advanced membrane technologies. His work bridges fundamental polymer chemistry and practical applications in water treatment and sustainability. Full Professor, MESA+ Institute, University of Twente His research focuses on membrane science, particularly polyelectrolyte multilayer systems, nanofiltration, and sustainable material design. He investigates how surface chemistry, phase separation, and polymer interactions influence membrane performance in complex aqueous environments. His work addresses critical challenges such as nanoplastics removal, salinity management, and micropollutant degradation. The recent publications highlight a strong trend in developing next-generation membranes with enhanced stability, selectivity, and environmental compatibility. His team explores pH-responsive systems, biocatalytic membranes, and scalable fabrication methods, contributing significantly to both academic knowledge and industrial applications in water purification. No scientific awards were mentioned in the provided text. Dr. de Vos has supervised 22 academic works, indicating active mentorship of Master’s and PhD students. While specific grants are not detailed, his extensive research output and dataset publications suggest sustained funding and collaborative projects. His research integrates experimental design, material characterization, and process engineering. His work is conducted within the MESA+ Institute, a leading nanotechnology research center, fostering interdisciplinary collaboration in materials science and engineering.

• Membrane Science
• Polyelectrolyte Multilayers
• Nanofiltration
• +۷ مورد دیگر

Sergio Carrera serves as Senior Research Fellow and Head of the Justice and Home Affairs Unit at the Centre for European Policy Studies (CEPS), a prominent Brussels-based think tank. Additionally, he holds the position of Adjunct Professor at the Paris School of International Affairs (PSIA) in SciencesPo, France, where he contributes to academic teaching and research in international affairs. Dr. Carrera's academic background includes a Ph.D. on immigration and citizenship from Maastricht University (The Netherlands), an LL.M. in European, Comparative and International Law from the University of Maastricht, and a Law Degree from Universidad de Salamanca in Spain. His extensive educational foundation in European and international law underpins his expertise in EU justice and home affairs policy. His primary research interests focus on EU justice and home affairs (JHA) law and the Area of Freedom, Security and Justice policy, with particular emphasis on migration, asylum, citizenship, and Schengen policies. Dr. Carrera's expertise also extends to EU criminal justice law and police cooperation, examining their impacts on data protection, privacy, and the rights of the defense. His work consistently addresses the intersection between security measures and fundamental rights within the European context. Dr. Carrera has produced an extensive body of scholarly work, with over 190 published publications according to the available information. His recent research has particularly focused on EU-US data transfers, rule of law challenges in the context of migration management, global asylum governance, and the evolving landscape of EU security policy. His publications demonstrate a consistent concern with ensuring that security and migration policies uphold fundamental rights and the rule of law. Among his notable contributions are policy analyses on the European Green Deal's implications for climate policy, assessments of the EU's response to the Ukraine crisis, and examinations of the impact of the Trump administration on EU security policy. His research often bridges academic analysis with practical policy recommendations for EU institutions. Dr. Carrera leads and participates in numerous research projects addressing critical issues in EU policy. Current initiatives include "Reclaiming our past, rebuilding our future: new approaches to fighting antigypsyism" (2024-2026) and the "Study on Mapping Civil Dialogue Practices in the EU Institutions" (2024-2025). Previous significant projects include "Global Asylum Governance and European Union's Role" (ASILE, 2019-2023), "Pan-European Response to the ImpactS of COVID-19" (PERISCOPE, 2020-2023), and "IT tools and methods for managing migration FLOWS" (ITFLOWS, 2020-2023). His work has been commissioned by various EU institutions, including the European Parliament's Policy Department for Citizens' Rights and Constitutional Affairs, demonstrating the policy relevance and impact of his research. Dr. Carrera's expertise is frequently sought for task forces addressing timely issues such as EU-US data transfers, digital justice, and cross-border cooperation in criminal matters.

• EU Migration Policy
• Asylum Policy
• Citizenship Policy
• +۸ مورد دیگر

Francesca Grisoni serves as an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), where she currently leads the Molecular Machine Learning team. She additionally holds appointments as an ICMS Core member and Associate Professor at EAISI (Eindhoven Artificial Intelligence Systems Institute), reflecting her cross-disciplinary role at the intersection of computational science and biomedical applications. Academic Background : Grisoni completed her Environmental Sciences degree and earned a Ph.D. in 2016 from the University of Milano-Bicocca, where her dissertation focused on interpretable machine learning for molecular property prediction. During doctoral studies, she conducted research at ETH Zurich's Department of Chemistry and Applied Biosciences and the U.S. EPA's National Center for Computational Toxicology. Ph.D., University of Milano-Bicocca, 2016 (Dissertation: Interpretable machine learning for molecular property prediction) Environmental Sciences, University of Milano-Bicocca Her research integrates artificial intelligence, chemistry, and biology to develop computational methods for drug discovery, emphasizing wet-lab experimental validation alongside algorithmic innovation. Key focus areas include overcoming activity cliffs in molecular machine learning, generative modeling for scaffold hopping, and AI-augmented decision-making in therapeutic development, with the ultimate goal of achieving 'better decisions faster' in drug discovery pipelines. Analysis of her recent 2025 publications reveals a concentrated trend toward chemical language models and generative deep learning frameworks, specifically addressing low-data drug discovery challenges through active learning and neural network architectures. These works bridge computer science with pharmacology, targeting bioactivity prediction, molecular representation, and enzyme design while maintaining strong ties to experimental validation. Scientific Awards : Lush Young Researcher Prize Early Career Award 2022 from the Dutch Royal Netherlands Academy of Arts and Sciences (KNAW) ERC Starting Grant (2022) Grants and Supervision : Dr. Grisoni secured the prestigious ERC Starting Grant in 2022 to advance her molecular machine learning research. Institutional records indicate she has supervised 7 students (as shown in TU/e's 'Supervised Work (7)' repository section), though specific names aren't provided in the source material. Her group maintains active industry collaborations, including past engagement with Bracco Pharmaceuticals. Laboratory and Team : The Molecular Machine Learning team operates under the ICMS and EAISI frameworks, merging computational AI development with experimental wet-lab validation. This collaborative unit focuses on fragment-based molecular design, chirality representation (evidenced by fragSMILES work), and high-throughput nanoparticle identification using machine learning, as highlighted in recent press coverage and datasets.

• Artificial Intelligence
• Machine Learning
• Drug Discovery
• +۸ مورد دیگر

Jan Aart Scholte is Professor of Global Transformations and Governance Challenges at Leiden University, with joint appointments in the Faculty of Social and Behavioural Sciences and the Faculty of Governance and Global Affairs. He leads Leiden’s interfaculty GTGC programme, focusing on global governance dynamics. Research Interests : Globalization, polycentric governance, legitimacy in international systems, global democracy, civil society, and Internet governance. Grants : Funded by Ford Foundation, German Ministry of Education, Global Challenges Foundation, Nuffield Foundation, and others. His recent publications emphasize multistakeholder legitimacy, data governance, and polycentrism in global affairs. He teaches courses on governing a global world and supervises PhD candidates in related fields. Labs/Teams : Collaborates with the Legitimacy in Global Governance (LegGov) programme and regional internet governance networks in Africa, Asia-Pacific, and Latin America.

• Globalization
• Global Governance
• Polycentric Governance
• +۴ مورد دیگر

Prof. Han Olff is a Professor of Community and Conservation Ecology at the University of Groningen's Faculty of Science and Engineering, within the Groningen Institute for Evolutionary Life Sciences. He leads research on ecosystem structure, species interactions, and theoretical ecology, with fieldwork in savannas, salt marshes, and coastal systems. His work bridges theory and conservation, advising organizations like WWF and ARK Nature. Education: PhD (Cum Laude) in Biology from the University of Groningen (1992), MSc in Biology (1988). Research Interests: Focuses on plant-herbivore-predator interactions, ecosystem engineering, and the impact of human activities on biodiversity. Key themes include savanna ecology, food web dynamics, and restoration ecology. Awards: Gold Medal from Teyler Museum (2006) and PIONIER Award (2002). Active in grants like the EU Horizon 2020 AfricanBioServices project. Teaching: Coordinates courses in Conservation Biology, Ecological Research Skills, and Advanced Population Ecology. Leadership: Directed the Centre for Ecological and Evolutionary Studies (2011–2015) and chairs the National Research Agenda's 'Green Route'. Fieldwork: Organizes expeditions to the Serengeti-Mara, Banc d'Arguin, and Bijagos Archipelago to study human-wildlife interactions and ecosystem dynamics.

• Ecology
• Biodiversity Conservation
• Environmental Sciences
• +۳ مورد دیگر

Professor Vedran Dunjko is a faculty member at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, with affiliations to the Leiden Institute of Physics (LION). He leads the Applied Quantum Algorithms group and co-founded the Quantum@LIACS initiative, focusing on the intersection of quantum computing, machine learning, and artificial intelligence. His research interests include quantum machine learning, quantum-enhanced reinforcement learning, quantum heuristics, and the application of AI to quantum computing challenges. Dunjko's work bridges theoretical foundations with experimental implementations on near-term quantum devices, exploring both quantum advantages in learning and the use of classical AI for quantum system design. The recent publications show a strong trend toward proving quantum advantages in learning tasks, optimization, and topological data analysis, with publications in Nature , Nature Communications , and NeurIPS . Key themes include quantum policy gradients, quantum TDA, and reinforcement learning for quantum circuit optimization. ERC Consolidator Grant (2024) PNAS Cozzarelli Prize (2018) Editor’s Suggestion in Physical Review Letters (2014, 2018) Featured in Physics (American Physical Society) (2014, 2018) Dunjko advises several PhD candidates and postdocs, including Rahul Bandyopadhyay, Sofiene Jerbi, and Lea Trenkwalder. He has received competitive grants, most notably the ERC Consolidator Grant in 2024. His group fosters international collaborations with institutions across Europe and industry partners. The Applied Quantum Algorithms group and the Quantum@LIACS team combine theoretical investigations with practical implementations on quantum hardware, focusing on scalable quantum algorithms and AI-driven quantum discovery.

• Quantum Computing
• Quantum Machine Learning
• Quantum Artificial Intelligence
• +۷ مورد دیگر

Antonia Krefeld-Schwalb is an Assistant Professor at the Department of Marketing Management, Rotterdam School of Management, Erasmus University. With a background in cognitive science and management, her research bridges computational modeling, eye-tracking, and consumer decision-making to address sustainability challenges. Current Affiliation: Assistant Professor, Rotterdam School of Management Research Focus: Sustainable consumer behavior, decision-making processes, and methodological improvements Key Collaborations: Columbia University, University of Geneva, Erasmus Sustainability Program Her cognitive science training informs methodological approaches like mouse/eye tracking and computational modeling applied to marketing problems. She investigates structural parameter interdependencies, external validity threats in surveys, and climate risk communication effectiveness. Recent research trends include climate adaptation strategies, sustainable behavior interventions, and meta-scientific analyses of statistical practices in consumer research. She advocates for heterogeneous population sampling and preregistration to enhance validity. Scientific Honors: Veni Grant (NWO) She develops targeted sustainability interventions through collaborations like the Erasmus Sustainability Program. Her work appears in journals such as PNAS, Journal of Marketing Research, and Psychological Review.

• Cognitive Science
• Consumer Behavior
• Sustainable Marketing
• +۵ مورد دیگر

Iryna Susha serves as an Assistant Professor in the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University's Faculty of Geosciences. Her academic journey includes obtaining a PhD from Orebro University in Sweden, establishing her expertise in digital governance and data collaboration frameworks. Dr. Susha's research focuses on how organizations across different sectors can collaborate and leverage data to address 21st century societal challenges while contributing to sustainability goals. Her work spans digital government, open data initiatives, and data collaboratives for public good, with particular attention to cross-sector partnerships, data governance models, and the practical implementation challenges of data sharing initiatives. She has developed significant expertise in analyzing how data ecosystems can be structured to support societal benefits while navigating complex regulatory and organizational landscapes. Her publication record shows a clear evolution from early work on e-participation and open government data toward more sophisticated frameworks for data collaboratives and digital innovation for sustainability. The research demonstrates consistent engagement with practical implementation challenges while maintaining strong theoretical grounding in governance and organizational theory. Prizes & Grants (1) Dr. Susha actively supervises PhD candidates, currently guiding Dwayne Ansah's research on data donations for social good and Olafur Thorarensen's work on algorithmic decision systems in healthcare. She leads the "Digital Innovation" course where students develop critical understanding of digital innovations' societal and economic impacts. Additionally, she co-leads the Special Interest Group on Digitalization & AI for Sustainability (DAISY), which serves as a hub for interdisciplinary research on sustainable digital transformation. Her research connects with several major projects including the DATA ALLY project and Data Purchasing project, demonstrating practical applications of her theoretical work in real-world contexts. The DAISY group she co-leads provides an important forum for advancing research on sustainable digital innovation across disciplinary boundaries.

• Data Collaboratives
• Digital Government
• Open Data
• +۵ مورد دیگر

Konrad Kollnig is an Assistant Professor at Maastricht University’s Faculty of Law, specializing in the intersection of law and technology. He leads the RegTech4AI project, which combines legal and technical methods to address challenges in the AI and digital platforms sector. His academic background includes a PhD and MSc from the University of Oxford and a BSc from RWTH Aachen, with his PhD thesis winning the prestigious Stefano Rodotà Award 2024. Research focuses on market power analysis in digital platforms, ethical AI governance, and privacy-preserving technologies. He developed the TrackerControl app (200,000+ downloads) to expose app tracking practices. His work has influenced EU, OECD, US FTC, and other regulatory bodies, and been featured in Forbes, Wired, and New Scientist. Key achievements include winning the United Nations Privacy Competition 2022 and the Best Student Privacy Paper Award 2022. He holds a five-year RegTech4AI project grant (€2.1M) funding six researchers. Talks and collaborations span institutions like Georgetown University, CNIL, and the Council of Europe. His interdisciplinary approach bridges computer science, law, and policy to address systemic risks in digital ecosystems.

• Digital Privacy
• AI Ethics
• Regulatory Technology (RegTech)
• +۴ مورد دیگر

Prof. Fedde Scheele holds the position of Full Professor at the Academic Centre for Dentistry Amsterdam (ACTA), Faculty of Science's Athena Institute, and the Network Institute. His research focuses on healthcare workforce dynamics, medical education innovations, and global health leadership development. He has supervised 25 PhD theses, contributing significantly to academic mentorship. Key research interests include nurse power structures in healthcare, non-clinical staff engagement, physician leadership in rural Indonesia, and student learning patterns through e-learning platforms. His work aligns with UN Sustainable Development Goals related to quality education and good health. Recent studies explore qualitative insights into hospital hierarchies, comparative analysis of clinical/non-clinical worker resilience, and transformative pedagogical strategies in medical training. Scheele's interdisciplinary approach bridges healthcare management, medical education technology, and global health policy. Advising: 25 supervised PhD theses (e.g., leadership development models, healthcare workforce studies). Collaborations span institutions in Indonesia and the Netherlands. Active in Athena Institute's interdisciplinary research networks and the Network Institute's digital health initiatives.

• Gynecology
• Healthcare Management
• Medical Education
• +۳ مورد دیگر

Maarten Renkema is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence (AI) and its intersection with Human Resource Management (HRM) , Healthcare , and Organizational Innovation . His research explores how AI transforms work design, employee autonomy, and HRM practices in formalized contexts. Key Research Themes: Algorithmic HRM and Digitalization Human-AI Collaboration in Healthcare Self-Managing Teams and Organizational Structures AI Literacy in Education Scientific Awards: Best Dissertation Award (2019) from the Dutch HRM Network Research Trends: His recent work focuses on AI adoption in HRM, ethical implications of algorithmic management, and redefining professional roles in AI-integrated environments. Articles from 2024-2025 highlight practical applications of AI in healthcare workflows, employee-driven innovation, and the evolving responsibilities of HR professionals. Collaborations: Active in cross-sector partnerships, including projects on AI literacy frameworks and talent management in sports. Regularly contributes to professional discourse through invited talks and media commentary on AI's societal impact.

• Artificial Intelligence
• Human Resource Management
• Digitalization
• +۵ مورد دیگر

Matthias Schlottbom is an Associate Professor specializing in Mathematics of Computational Science, with a focus on numerical methods and their applications in physics, biology, and engineering. His research integrates advanced computational techniques with interdisciplinary problems, including radiative transfer, photonic crystals, and chemotaxis modeling. Research Interests: Schlottbom’s work spans numerical analysis, finite element methods, and machine learning. He develops high-order discretization schemes, iterative solvers for anisotropic transport, and mathematical frameworks for biological network formation. Publications: Recent articles highlight his contributions to accelerating radiative transfer simulations, extending component mode synthesis for Helmholtz equations, and analyzing diffusion limits in kinetic models. His work often bridges computational mathematics with practical applications in photonics and multiscale systems. Collaborations: He actively collaborates on datasets for optical simulations, radiative transfer algorithms, and photonic crystal modeling, contributing to open-access repositories like 4TU.Centre and Zenodo. Activities: Schlottbom has organized workshops such as the Kinetic Theory Workshop in the Netherlands and delivered keynotes on residual minimization and data-driven methods for transport equations. Scientific Awards: No specific awards or fellowships are mentioned in the provided materials. Advising & Grants: Details about students, advising roles, or grant funding are not included in the available data.

• Numerical Analysis
• Computational Mathematics
• Radiative Transfer
• +۴ مورد دیگر

Nathan van de Wouw is a Full Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with ICMS, EAISI Mobility, EAISI High Tech Systems, EAISI Foundational, and EIRES. He also holds an adjunct Full Professor position at the University of Minnesota and a part-time Full Professorship at Delft University of Technology. His research focuses on dynamics and control of mechanical systems, including mechatronics, robotics, smart manufacturing, energy systems, and networked control. He has supervised over 150 students and led numerous projects funded by industry partners like ASML, Philips, and Shell. Education: M.Sc. (with Honors) in Mechanical Engineering, TU/e (1994) Ph.D. in Mechanical Engineering, TU/e (1999) Research Interests: Nonlinear systems and control Model reduction and complexity analysis Data-driven and networked control strategies Applications in high-tech systems, autonomous vehicles, and energy systems Awards: IEEE Control Systems Technology Award (2015) for variable-gain control in motion systems Grants & Projects: Lead projects on mechatronic design, lithography systems, and thermodynamic optimization Collaborations with TNO, ASML, and industrial partners Labs & Teams: Member of TU/e’s Dynamics and Control group Affiliated with EAISI (Eindhoven AI Systems Institute)

• Dynamics and Control
• Mechatronics and Robotics
• Smart Manufacturing
• +۶ مورد دیگر

Herman Bruyninckx is a Part-Time Full Professor at Eindhoven University of Technology (TU/e) in the Mechanical Engineering department, specifically within the Control Systems Technology group and EAISI High Tech Systems initiative. He also serves as a professor (Hoogleraar) at KU Leuven in Belgium. Academic focus on robotics, control systems, and multi-agent coordination Active research in model predictive control , semantic mapping , and dynamic constraint algorithms Recent publications address industrial automation , agro-food robotics , and haptic technology Research Highlights : Developed hybrid decision-making frameworks for multi-agent navigation Innovated swing-free control methods for robotic pick-and-place operations Formulated constrained dynamics algorithms with LQR-Gauss principle integration Created ExoTen-Glove for haptic feedback in virtual environments Collaborative Projects : Coordinated with researchers like René van de Molengraft , Elena Torta , and Koen de Vos Contributed to NWO/TTW FlexCRAFT project for cognitive robotics in agro-food technology

• Robotics
• Control Systems
• Multi-Agent Systems
• +۶ مورد دیگر

Henry Farrell serves as SNF Agora Institute Professor at Johns Hopkins School of Advanced International Studies, specializing in the intersection of democratic systems, digital technology governance, and global economic structures. His work critically examines how internet architectures influence political trust and international cooperation. Farrell's research program investigates the weaponization of economic statecraft in international relations, transnational conflicts over data sovereignty, and democratic resilience against digital authoritarianism. His scholarship bridges comparative politics with international political economy through empirical studies of institutional trust and cross-border regulatory battles. His major recognition includes: Friedrich Schiedel Prize for Politics and Technology (2019) for groundbreaking work on digital governance Farrell's influential publications address urgent challenges in democratic governance within the digital age, with particular focus on U.S.-European regulatory divergence and economic coercion strategies in global finance.

• Democracy
• Internet Politics
• International Political Economy
• +۳ مورد دیگر