جست‌وجوی استاد و پژوهشگر

Joost Reekمشاهده پروفایل

استاد

• Supramolecular Chemistry
• Homogeneous Catalysis
• Sustainable Chemistry
• +۵ مورد دیگر

Prof. Joost Reek is a Professor at the University of Amsterdam's Faculty of Science and leads the Homogeneous, Supramolecular and Bio-Inspired Catalysis group within the Van 't Hoff Institute for Molecular Sciences. He serves as scientific director of NIOK (Netherlands Institute for Catalysis Research), a nationwide graduate school coordinating catalysis research across Dutch universities under recognition by the Royal Netherlands Academy of Sciences (KNAW). His research focuses on supramolecular chemistry and catalysis, with expertise in supramolecular cages, homogeneous catalysis, sustainable chemistry, solar fuels, and electrochemical conversions. The group develops novel catalysts for industrial reactions (hydroformylation, hydrogenation), biomass conversion, and solar fuel generation including water oxidation and CO 2 reduction. Recent work explores nanocage systems for bioorthogonal chemistry and photoactive catalytic nanospheres. Reek's team secured a €10.6 million Synergy grant in 2023 for brain cancer research involving nanocages delivering small interfering RNAs. They maintain industry partnerships through NIOK's VIRAN advisory board and operate a spin-off company translating molecular research into applications. The group is embedded within the Van 't Hoff Institute for Molecular Sciences, utilizing advanced facilities for molecular design and catalytic testing. Their interdisciplinary approach bridges fundamental supramolecular chemistry with sustainable energy solutions and biomedical innovations.

• Microfluidics
• Catalyst Particle Research
• Organ-on-Chip Platforms
• +۳ مورد دیگر

Mathieu Odijk is a Full Professor at the University of Twente's Faculty of Science and Technology, leading the Integrated Devices and Systems department. His research focuses on microfluidic systems, catalysis, and organ-on-chip platforms, with contributions to UN Sustainable Development Goals through advanced material characterization and biomedical engineering. He has authored over 120 publications and holds an h-index of 27 with 1,820 citations. Expertise: Microfluidics, catalyst particle diagnostics, SERS substrates, organ-on-chip systems, and spectroscopic techniques. Collaborations include Weckhuysen (catalysis), van den Berg (microfluidics), and Meirer (materials science). Key projects: Modular organ-on-chip platforms (STARTER), droplet-based catalyst screening, and real-time reaction monitoring via ATR-IR systems. His research combines nanotechnology and chemical engineering to develop tools for sustainable energy, environmental remediation, and biomedical applications. Recent work includes microreactors for catalyst particle analysis, light-driven urea oxidation for wearable kidney devices, and standardized platforms for organ-on-chip research.

Reuben Leveson-Gowerمشاهده پروفایل

استادیار

• Enzyme Design
• Biocatalysis
• Protein Engineering
• +۳ مورد دیگر

Dr. Reuben Leveson-Gower is an Assistant Professor in the Biocatalysis Section of the Department of Biotechnology at TU Delft. His research focuses on designing enzymes for novel chemical reactions, combining synthetic chemistry principles with biological systems to advance green chemistry and deepen understanding of enzyme mechanisms. He holds a PhD from the University of Groningen (cum laude) and has expertise in protein engineering, directed evolution, and computational enzymology. Notable awards include the FEBS Short-Term Fellowship and the Salters’ Institute Graduate Prize. Education: PhD in Chemistry (Groningen), MChem with First Class Honors (Durham). Research Focus: Artificial enzyme design, biocatalytic reactions, protein engineering, and sustainable chemical processes. Awards: FEBS Fellowship, Salters’ Prize, cum laude PhD distinction. His lab employs interdisciplinary techniques such as synthetic chemistry, bioinformatics, and mechanistic enzymology to evolve enzymes for non-natural reactions. Key projects include developing Friedel-Crafts alkylases and boron-catalyzed systems. Collaborations emphasize translational applications in industry and environmental sustainability.

Marie-Colette van Lieshoutمشاهده پروفایل

استاد

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +۶ مورد دیگر

Marie-Colette van Lieshout is a Professor of Spatial Stochastics at the Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, and a Scientific Staff Member in the Stochastics group at Centrum Wiskunde & Informatica (CWI), Amsterdam. She has been active in research since 1997 and is a leading expert in stochastic geometry, spatial statistics, and image analysis. Her educational and professional background includes positions at the University of Warwick and the Free University Amsterdam. She is currently engaged in advanced research on point processes, random fields, and tessellation models, with applications in seismic hazard, fire risk, and machine learning. Her research interests include: Stochastic Geometry Spatial Statistics Image Analysis Point Process Modeling Seismic Risk Assessment Machine Learning for Spatial Data Her recent publications (2023–2025) focus on spatial intensity estimation, marked point processes, and data-driven risk modeling, showing a strong integration of classical spatial statistics with modern computational and machine learning techniques. Key themes include adaptive kernel smoothing, infill asymptotics, and applications in environmental and public safety domains. She has received significant recognition, including: Elected Fellow, International Statistical Institute (ISI) She has been awarded multiple research grants from NWO and other agencies, including the KLEIN grant for fire risk management and the DeepNL grant for seismicity prediction in Groningen. She has supervised or collaborated with researchers such as C. Lu, Z. Baki, and R. Markwitz. She is also active in academic service, serving on editorial boards (e.g., Methodology and Computing in Applied Probability), advisory boards (InHolland University), and councils of learned societies (Bernoulli Society, KWG). She leads and participates in research clusters such as STAR and contributes to outreach and education through courses and public lectures on earthquake modeling and spatial statistics.

Florian Bociortمشاهده پروفایل

استادیار

• Optical System Design
• Gradient-Index Optics
• Artificial Intelligence in Lens Design
• +۳ مورد دیگر

Florian Bociort is an Assistant Professor at the Optics Research Group , Delft University of Technology (Faculty of Applied Sciences). He holds a PhD in Physics from TU Berlin (1994) and has dedicated his career to optical system design, gradient-index optics, and computational methods in lens design. Research Interests Bociort’s research focuses on design landscapes of optical systems , where he pioneered the use of saddle points to escape local minima in optimization. His work spans Gradient-index optics (conversion of homogeneous lenses to GRIN media) Artificial intelligence in lens design Optics education (simulation-driven learning) Academic Contributions He has supervised multiple PhD theses on topics like: A. M. Boyd (2025): Generalized gradient-index lens optimization Z. Hou (2023): Systematic lens design searches Y. Shao (2021): Imaging coherence and optimization M. Strauch (2020): Tunable optics M. Mout (2019): Ray-based diffraction simulation Recent Publications His 2025-2018 publications show a trajectory from classical optical design to modern computational approaches, including simulation-driven education, gradient-index conversions, and high-NA diffraction modeling. The 2024 paraxial reconstruction and 2025 simulation-education articles exemplify this evolution. Patents & Expertise He co-invented two ASML-related patents in lithographic design and served as expert witness in the 2018 ASML-Nikon patent lawsuit. His personal webpage details his networks of local minima and fractal basins in optimization.

• Social Network Analysis
• Social Capital
• Personal Networks
• +۷ مورد دیگر

Beate Volker is an Associate Professor at the Faculty of Geosciences , University of Utrecht , specializing in Human Geography and Spatial Planning . Her research focuses on Social Network Analysis , Social Capital , and Personal Network Dynamics , with particular interests in Dutch society, neighborhood effects, and urban sociology. Institutional affiliation: University of Utrecht Academic rank: Associate Professor Department: Human Geography and Spatial Planning Her scholarly work examines how life course events , urban densification , and social stratification shape personal and community-level networks. She investigates network segregation in Chilean and Dutch contexts, prisoner reintegration challenges, and the health impacts of social capital . Her methodological expertise includes field experiments, panel data analysis, and relational data collection. Recent publications highlight trends in acquaintanceship networks in the Netherlands, collective efficacy in neighborhoods, and person-centered care in long-term facilities. She contributes to the Dynamics of Youth and Pathways to Sustainability research programs. As a supervisor and researcher, Volker explores network consequences of entrepreneurship , pet ownership , and romantic relationships . Her work frequently appears in journals like Social Networks , British Journal of Sociology , and Health and Place , with peer-reviewed studies on network homogeneity, tie decay, and expert-driven causal modeling.

Robert Polliceمشاهده پروفایل

مدرس

• Computational Chemistry
• Quantum Chemistry
• Machine Learning
• +۶ مورد دیگر

Robert Pollice is a Lecturer at the Faculty of Science and Engineering , University of Groningen , specializing in Homogeneous Catalysis . His research integrates computational chemistry , machine learning , and automated experimentation to accelerate molecular design and catalyst development . Research Interests focus on homogeneous catalysis , quantum chemistry , and machine learning applications. His work addresses challenges in reaction mechanism modeling , noncovalent interactions , and inverse molecular design , leveraging closed-loop optimization and large language models for chemical data analysis . Publications span quantum chemical simulations , solvation energy calculations , excited state engineering , and automated catalyst discovery . His recent studies explore inverted singlet-triplet gaps , machine learning for reaction modeling , and SELFIES for molecular string representations . Peer-review Contributions include evaluations for journals like Organic Process Research & Development , Materials Advances , and Chem , reflecting his expertise in catalysis , quantum chemistry , and AI-driven chemical discovery .

Atsushi Urakawaمشاهده پروفایل

استاد

• Heterogeneous Catalysis
• In situ/operando Spectroscopy
• Reaction Engineering
• +۷ مورد دیگر

Prof. Atsushi Urakawa is a Full Professor in the Department of Chemical Engineering at the Faculty of Applied Sciences, Delft University of Technology (TU Delft) . He leads the Urakawa Group , which focuses on developing sustainable heterogeneous catalytic processes with minimal environmental impact. PhD, ETH Zurich (2006) MSc, TU Delft BSc, Kyushu University, Japan His research is centered on heterogeneous catalysis , employing in situ/operando spectroscopy and reaction engineering to understand catalytic mechanisms. Key research themes include CO₂ conversion to chemicals , methane activation , hydrogen production , and environmental catalysis (NOx abatement) . The group also pioneers advanced in situ/operando tools for studying solid-gas and solid-liquid interfaces at the reactor scale. The recent publications reflect a strong focus on CO₂ hydrogenation under high pressure, design of bimetallic and supported catalysts , and mechanistic elucidation using operando techniques. The work bridges fundamental understanding with industrial sustainability. Scientific Awards: Fellow of the Royal Society of Chemistry (2016) JSPS Prize (2020) The Japan Academy Medal (2021) Advising: Prof. Urakawa supervises PhD and postdoctoral researchers, including Nat Phongprueksathat , George Tierney , and Gerben-Jan Hooijer . His group collaborates with industrial partners such as Toyota on carbon capture and reduction (CCR) projects. While specific grants are not detailed, his research is clearly supported by high-impact publications and international recognition. Labs & Teams: The Urakawa Group is embedded within the Catalysis Engineering section at TU Delft, fostering interdisciplinary research at the intersection of materials science, catalysis, and process engineering.

Kristina S. Weißmüllerمشاهده پروفایل

استادیار

• Public Sector Corruption
• Bureaucratic Rule Breaking
• Behavioral Public Administration
• +۲ مورد دیگر

Kristina S. Weißmüller is Assistant Professor in Political Science and Public Administration at Vrije Universiteit Amsterdam. Her research examines public sector corruption, bureaucratic rule-breaking, and decision-making psychology in administrative contexts. She leads the multinational CorPuS project on public sector corruption and has secured funding for research on anti-corruption strategies. Her work integrates experimental methods and behavioral approaches to study integrity violations and organizational ethics. Recent publications investigate micro-foundations of corruption, public employee well-being, digital governance, and prosocial rule-breaking. Her research demonstrates methodological innovation through vignette studies, experiments, and systematic reviews applied to public administration challenges.

• French Culture
• French Language and Culture in the Netherlands
• History of French Language Teaching
• +۳ مورد دیگر

Dr. Marie-Christine Kok-Escalle is an Affiliated Researcher at Utrecht University's Institute for Cultural Research , specializing in Modern and Contemporary Literature with focus on French cultural and linguistic history in the Netherlands. Full Name: Marie-Christine Kok-Escalle Institution: Utrecht University School: Humanities Department: Modern and Contemporary Literature Her research areas examine: French cultural influence in the Netherlands from modern times Evolution of French language teaching and learning Intercultural competence and mediation practices Language's role in identity formation Historical diffusion of French as a lingua franca Key publication trends span intercultural communication (2012-2020), historical French educational methods (2003-2017), religious language dynamics (2008-2012), and cross-cultural case studies (1997-2013). She contributes to intercultural education programs including: French Language and Culture: Education and Communication (MA) Intercultural Communication (MA) Historical language mediation studies

• Electrochemistry
• Homogeneous Catalysis
• Redox Catalysis
• +۳ مورد دیگر

Dr. Dennis Hetterscheid is an Associate Professor at the Leiden Institute of Chemistry (LIC), Leiden University, specializing in electrochemistry and catalysis. His research focuses on mimicking bioinorganic multi-electron processes for energy infrastructure, particularly in renewable energy applications like solar fuels and small molecule activation. He leads research in the MCBIM and CASC groups at LIC. Research Interests: Electrocatalytic processes for energy conversion Homogeneous catalysis and redox mechanisms Oxygen reduction/selectivity control in catalytic systems Key Contributions: Development of molecular catalysts for water oxidation and solar fuels Investigations into ligand-centered reactivity and bioinorganic systems Exploration of metal-organic frameworks for catalytic selectivity Grants & Collaborations: Received funding from the Dutch Research Council and Proof of Concept grants, contributing to projects addressing energy challenges. Labs/Teams: Head of the Hetterscheid Group, collaborating with interdisciplinary teams in energy and sustainability.

Johan Pieter Maria Hoefnagelsمشاهده پروفایل

دانشیار

• Micromechanics of materials
• Ductile damage and fracture
• Interface mechanics and delamination
• +۶ مورد دیگر

Johan Pieter Maria Hoefnagels is Associate Professor of Micromechanics of Materials at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering, where he leads the independent Hoefnagels group and the strategic Multi-Scale Laboratory dedicated to integrated micro-mechanical testing. Education: MSc (2000) and PhD (2005) in Applied Physics, Eindhoven University of Technology – thesis on “A novel diagnostic approach for studying silicon thin film growth” . International research visits to IMEC (Belgium), SUNY Albany (USA), NIST (USA), Harvard University (USA), Colorado School of Mines (USA), and KAUST. Research Focus: His group integrates advanced micro-mechanical testing, high-resolution microscopy (SEM, EBSD, AFM, µCT, DIC) and numerical modelling to understand and control micro-scale damage and failure mechanisms in pursuit of durable, sustainable materials. Ductile damage and fracture in metals Interface delamination and adhesion in stretchable electronics Size effects in miniaturised components and thin films Crystal plasticity and martensite/ferrite interface mechanics Hybrid and multi-phase material systems Research Output & Trends: Since 2019 his work has concentrated on multi-scale experimental–numerical studies of advanced steels (martensite/ferrite interfaces, dual-phase steels), additive manufacturing (wire-arc 316L), stretchable electronics (Cu/rubber delamination), and cellulose fibre networks. Recent articles reveal a strong emphasis on high-resolution digital image correlation, automated slip-system identification, and coupled hygro-thermo-mechanical testing. Scientific Awards & Recognition: NWO VIDI (2012), VENI (2008), RUBICON (2005) personal grants – totalling ~€10 M Editor-in-Chief, Strain – An International Journal for Experimental Mechanics (IF 2.2) Dutch representative, European Structural Integrity Society (ESIS) >150 invited/keynote conference presentations; organiser of 20+ international symposia Acta Materialia & Scripta Materialia 2019 Excellence in Reviewing award; Top Reviewer 2011, Engineering Fracture Mechanics PhD Advising & Grants: Principal supervisor of 27 PhD students and 18 post-docs/EngDs; co-author of 24 granted research proposals and 8 equipment investment proposals. The Multi-Scale Laboratory hosts state-of-the-art micro-mechanical testers and microscopes, serving departments across TU/e.

Victorita Dolean-Mainiمشاهده پروفایل

استاد

• Domain Decomposition Methods
• High Performance Computing
• Wave Propagation
• +۲ مورد دیگر

Victorita Dolean-Maini is Professor at University of Strathclyde and Visiting Professor at University of Strathclyde (2023-2026). She specializes in domain decomposition methods for PDEs, high-performance computing, and scientific machine learning. Her work develops fast algorithms for wave propagation problems and complex systems. She co-authored the reference work 'Domain Decomposition Methods' (SIAM 2015) and received the Bull-Joseph Fourier Prize for stroke simulation using HPC. Current research explores physics-informed neural networks with domain decomposition architectures and their application to medical digital twins. She serves on the editorial board of SIAM Journal on Scientific Computing and collaborates with industrial partners on scientific machine learning projects. Recent publications focus on neural network architectures combining domain decomposition with physics-informed learning, multilevel methods, and efficient coarse spaces for partial differential equations.

• Agricultural Climate Change Adaptation
• Farming Systems Resilience
• Climate Modeling
• +۳ مورد دیگر

Julian Ramirez-Villegas is a Special Professor on Agricultural Climate Change Impacts and Adaptation at Wageningen University's Plant Production Systems group and a Principal Scientist/Leader of Data Science for Climate Action at CGIAR (Rome). He holds a PhD from the University of Leeds (UK). His research focuses on climate adaptation in farming systems, particularly in low/middle-income countries, with over 60 peer-reviewed publications in journals like PNAS and Nature. Recognized by the United Nations for climate adaptation work, he leads a team of researchers specializing in agricultural modeling, climate services, and socio-economic analysis. At Wageningen, his key research questions address adaptation effectiveness, interplay between adaptation forms (coping/systems change/transformation), and trade-offs between adaptation/mitigation in tropical systems. His work bridges academic research with global policy, emphasizing data-driven solutions for climate-resilient agriculture. Publications highlight innovative approaches in climate data modeling (e.g., CMIP5 projections, EcoCrop model applications), biodiversity conservation strategies, and policy frameworks for climate-smart agriculture. He collaborates widely with CGIAR centers and international organizations to translate research into actionable climate adaptation strategies.

• Food Science
• Biophysics
• Lipid Oxidation
• +۵ مورد دیگر

John van Duynhoven is a Professor of Biophysics at Wageningen University and Research. His work bridges advanced imaging techniques and food science, focusing on lipid oxidation, protein processing, and emulsion structure. Affiliation: Wageningen University and Research Academic Rank: Professor Research Interests: He investigates food structure and stability using NMR spectroscopy, super-resolution microscopy, and magnetic resonance imaging. Key areas include lipid oxidation pathways, plant-protein extrusion, and granular flow dynamics. Scientific Contributions: Supervised multiple PhD projects on multiscale protein modeling, emulsion oxidation, and infant nutrition protein digestion. His recent articles highlight innovations in quantifying anisotropic food structures and oxidation products. Collaborations: Partnerships span imaging techniques, X-ray scattering, and food technology. Active projects include lipid oxidation mapping and protein extrusion modeling.