جستجوی استاد راهنمای دانشگاهی

Anaïs Couasnonمشاهده پروفایل

پژوهشگر

• Flood Risk Management
• Climate Change
• Environmental Science
• +۳ مورد دیگر

Anaïs Couasnon is a PhD researcher at the Department of Water and Climate Risk, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, part of the Faculty of Science. Her research focuses on compound flood risk modeling, probabilistic methods, and global hazard assessment under climate change. She is supervised by Dr. Philip Ward and Dr. Hessel Winsemius as part of a VIDI project. Education: MSc in Hydraulic Engineering (TU Delft, 2017); BSc in Civil Engineering (McGill University, 2010). Research interests include probabilistic modeling, multivariate dependence analysis, flood risk management, and climate impacts on coastal-riverine interactions. She contributes to global datasets like COAST-RP and socio-hydrological benchmarking. Key activities include: Developing frameworks for compound flood risk assessment Modeling extreme sea-level events and storm surges Collaborating on global hazard frameworks and disaster risk reduction strategies Contributions to datasets include: COAST-RP dataset Panta Rhei socio-hydrological benchmark dataset

Ioana Ilieمشاهده پروفایل

استادیار

• Computational Chemistry
• Biophysics
• Peptide Therapeutics
• +۳ مورد دیگر

Dr. Ioana Ilie is an Assistant Professor in Computational Chemistry at the van 't Hoff Institute for Molecular Sciences , part of the Faculty of Science at the University of Amsterdam . Her research focuses on developing multiscale computational tools to study polypeptide aggregation, design peptide-based therapeutics, and engineer smart biomaterials. She combines atomistic simulations, coarse-grained modeling, and machine learning to address challenges in neurodegenerative diseases and cancer. Dr. Ilie holds a PhD from the University of Twente (Netherlands), with postdoctoral training at the Technical University of Darmstadt (Germany) and the University of Zurich (Switzerland). She leads the Multiscale Simulation of Biomolecular Systems group , which aims to bridge computational and experimental approaches in biomedicine and materials science. Her lab has received a Career Development Award from the Synapsis Foundation (2022) and recognition in ChemComm 's Emerging Investigators edition. Her research spans amyloidogenic targets , cyclic peptide design , and coarse-grained modeling . She emphasizes interdisciplinary collaboration, leveraging computational methods to advance therapeutic strategies and biomaterial innovation. Her team's future goals include expanding machine learning applications and deepening international partnerships. For more information, visit her lab webpage or follow her on Twitter .

• Meteorology
• Climate Modeling
• Radiative Transfer
• +۷ مورد دیگر

Chiel van Heerwaarden is an Associate Professor of Meteorology at Wageningen University & Research. His work focuses on cloud dynamics, radiative transfer, and their impacts on climate processes. He leads projects on solar irradiance variability, convective cloud organization, and atmospheric modeling. He has received a NWO Vidi grant for his research on cloud shadows and radiative effects. His research integrates machine learning, large-eddy simulations, and observational data to advance understanding of boundary layer processes and climate feedbacks. Key research areas include: irradiance variability under broken clouds, 3D radiative effects in shallow cumulus clouds, and the interaction between clouds and land surface processes. He collaborates on field experiments like CloudRoots-Amazon22 and Fesstval, advancing multiscale modeling approaches. His team addresses challenges in kilometer-scale Earth system modeling and wildfire-atmosphere interactions. Recent achievements include developing efficient radiative transfer parameterizations and analyzing extreme weather phenomena like heatwaves linked to soil drought. He advises five PhD candidates on topics ranging from convective self-aggregation to forest fire plumes. His work bridges computational science and observational data to improve climate projections and atmospheric understanding. Grants: NWO Vidi Grant (2019) Labs/Teams: Meteorology and Air Quality Group at Wageningen University Key Projects: CloudRoots-Amazon22, Shedding Light on Cloud Shadows, Real-Weather Large Eddy Simulation

• Plant Development
• Computational Biology
• Systems Biology
• +۶ مورد دیگر

Dr. Monica Garcia Gomez is an Assistant Professor at the Faculty of Science , Utrecht University , affiliated with the Theoretical Biology group. Her research integrates computational modeling and experimental approaches to study plant development, focusing on root regeneration, stem cell dynamics, and responses to environmental stress. University: Utrecht University Department: Theoretical Biology Her work spans disciplines such as Systems Biology , Computational Biology , and Stem Cell Research , with a particular emphasis on Arabidopsis thaliana as a model organism. Recent publications highlight her contributions to understanding transcriptional stochasticity in stem cell differentiation, multiscale mechanisms in root regeneration, and the integration of mechanistic models with machine learning. Her research often employs gene regulatory network models , phytohormone interactions , and multiscale modeling to dissect developmental processes. She collaborates with groups like the Experimental and Computational Plant Development (IEB) and contributes to translational plant biology through the PlantXR program.

• Evolutionary Biology
• Bacterial Physiology
• Mechanisms of Gene Regulation and Transcription Networks
• +۷ مورد دیگر

Rutger Hermsen is an Assistant Professor in the Science Biology faculty at Utrecht University , leading the Hermsen lab under the Theoretical Biology and Bioinformatics group and the Institute for Biodynamics & Biocomplexity. His work focuses on mathematical and computational models of biological systems, particularly bacterial physiology and evolutionary biology. Email : r.hermsen@uu.nl Contact : Hugo R. Kruytgebouw, Padualaan 8, Kamer N602, 3584 CH Utrecht Research Interests span evolutionary theory, population dynamics, gene regulation, and bacterial physiology. He develops models to study eco-evolutionary interactions, such as antibiotic resistance development, and applies multiscale frameworks to analyze selection pressures in spatially structured populations. His work bridges theoretical biology with bioinformatics and computational methods. Publications highlight his expertise in analyzing spatial selection mechanisms (2024), cellular regulatory networks (2023), and evolutionary transitions (2022). These studies integrate mathematical models with experimental data to address fundamental biological questions. Supervision includes Bryan Verhoef, whose NWO-funded PhD project explores antibiotic resistance modeling, and Charlotte de Vries, a senior postdoc studying aging's role in evolutionary transitions. Collaborations extend to the Tans group at AMOLF for bacterial growth experiments. Laboratory combines computational approaches with interdisciplinary research, focusing on bacterial homeostasis, multilevel selection, and eco-evolutionary demography. The lab contributes to understanding cellular regulatory mechanisms and evolutionary processes through innovative theoretical frameworks.

Ute M. Ebertمشاهده پروفایل

استاد

• Plasma Physics
• High Voltage Technology
• Lightning Physics
• +۳ مورد دیگر

Ute M. Ebert is a part-time Full Professor in the Elementary Processes in Gas Discharges group at Eindhoven University of Technology (TU/e), with her primary affiliation at Centrum Wiskunde & Informatica (CWI) in Amsterdam, where she leads the Multiscale Dynamics group. Her research focuses on plasma physics, gas discharges, and lightning phenomena, with collaborations spanning EU/NWO-funded projects on high-voltage technology and plasma applications in agriculture and combustion engines. Education: Bachelor/Master: Physics at University of Heidelberg (Germany) and Hebrew University (Jerusalem, Israel) PhD in Physics from University of Essen (Germany, 1994) Postdoc at Leiden University (Instituut-Lorentz, 1994–1998) Researcher at CWI, Amsterdam (1998–present) Research Interests: Analytical and computational modeling of pulsed gas discharges, plasma dynamics, high-voltage technology, lightning physics, and plasma applications in industry. Key projects include collaborations with ABB Corporate Research, Bekaert Combustion Technology, and VitalFluid BV. Awards: Elected AGU Fellow (2022) Grants & Advising: Supervised 32 academic works. Active in organizing conferences such as the International Conference on Phenomena in Ionized Gases (2023) and HAKONE XVII (2022). Funded projects include EU and Dutch Research Council (NWO) initiatives. Labs & Teams: Leads the Multiscale Dynamics group at CWI, focusing on multiscale modeling and plasma simulations. Collaborates closely with TU/e's experimental facilities for joint research outputs.

Diletta Giuntiniمشاهده پروفایل

استادیار

• Ceramics Processing
• Additive Manufacturing
• Sintering
• +۴ مورد دیگر

Diletta Giuntini serves as Assistant Professor in the Mechanics of Materials section of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), with affiliations to the Institute for Complex Molecular Systems (ICMS) and EIRES Research. She concurrently holds a position in the Eindhoven Young Academy of Engineering (2021-2025). Her academic foundation includes a BSc and MSc in Aerospace Engineering from the University of Pisa, Italy, followed by a PhD in Engineering Sciences through the joint UCSD-SDSU program (2016). Postdoctoral work at Hamburg University of Technology under a Humboldt Fellowship (2018) preceded her current TU/e appointment. Giuntini's research pioneers advanced ceramic processing via ultra-fast sintering and additive manufacturing, focusing on nano-architected multiscale materials. Her work on supercrystalline nanocomposites—nanoparticle assemblies mimicking atomic crystals—explores emergent mechanical properties through nanoscale structural tailoring, heavily incorporating biomimetic principles for innovative material design. Analysis of her 15 most recent publications reveals dominant themes: supercrystalline nanocomposite characterization via nanoindentation/fatigue/creep testing (73% of works), computational sintering optimization (13%), and biomimetic composite design (13%). This output demonstrates consistent integration of experimental validation with predictive modeling to enhance ceramic toughness and functional properties. Her scientific recognition includes: Acta Materialia Outstanding Reviewer Award (2019) TMS-AIME Champion H. Mathewson Award (2022) As Project Manager for ACROPOROUS (2021-2028), she leads research on sustainable ceramics and porous materials, while supervising 11 graduate students. Her teaching encompasses Advanced and Additive Manufacturing, Engineering Design, and Fracture Mechanics. She actively promotes diversity through initiatives like the Power Hour at the 2018 Gordon Research Seminar on Solid State Studies in Ceramics.

• Multiscale Modeling
• Plasma Physics
• Computational Quantum Chemistry
• +۴ مورد دیگر

Behnaz Bagheri is an Assistant Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e). Her research focuses on multiscale modeling of electronic excitations in soft matter and plasma interactions with biological surfaces. She employs computational quantum chemistry, molecular dynamics, and fluid-type models, with applications in medicine, agriculture, and public health. BSc and MSc in Physics/Condensed Matter Physics from Isfahan University of Technology (2009–2011) Postgraduate Diploma, ICTP (2012) PhD at University of Waterloo/Perimeter Institute (2012–2017) Postdoc at Centrum Wiskunde & Informatica (2017–2020) Her research interests span plasma-biological interfaces, non-thermal atmospheric pressure plasmas, and computational modeling of polymeric systems. Key topics include photoionization effects, lipid bilayer oxidation, and hydrogen peroxide solubility in water. Recent work emphasizes plasma applications for medical and environmental solutions. Bagheri has contributed to 15+ peer-reviewed articles (2016–2025), including studies on plasma dynamics, molecular interactions, and plasma-liquid interfaces. She actively organizes plasma-related conferences and teaches courses on Electrodynamics and Quantum Physics at TU/e. Her work aligns with UN Sustainable Development Goals related to health, clean water, and innovation. Collaborations include international teams studying plasma chemistry and biomedical applications.

B. (Bernd) Ensingمشاهده پروفایل

دانشیار

• Computational Chemistry
• Molecular Simulations
• Catalyst Design
• +۷ مورد دیگر

Dr. Bernd Ensing is an Associate Professor at the van 't Hoff Institute for Molecular Sciences (HIMS) within the University of Amsterdam's Faculty of Science. He directs the AI4Science Laboratory, focusing on integrating artificial intelligence with molecular simulations. His research spans computational chemistry, catalyst design, and biophysical systems, emphasizing bio-inspired materials and electron/proton transfer mechanisms. Key research areas include: molecular simulations of catalytic processes (e.g., hydrogenase enzymes), multiscale modeling of soft materials, and machine learning-enhanced data analysis. He develops advanced algorithms like Path-metadynamics and FABULOUS for free energy exploration and reaction coordinate identification. Notable contributions include studies on polyether solubility in water, light-activated proteins' signaling mechanisms, and adaptive resolution simulations (Hybrid-atomistic/coarse-grained methods). His group collaborates on AI-driven material discovery and sustainable chemistry solutions. He has supervised numerous student projects at bachelor/master levels, requiring expertise in quantum chemistry, thermodynamics, or programming. The AI4Science Lab promotes open-source tools via GitHub and community-driven initiatives like PLUMED tutorials.

Alexander H de Vriesمشاهده پروفایل

مدرس

• Physical Chemistry
• Molecular Dynamics
• Membrane Biology
• +۵ مورد دیگر

Dr. Alexander H de Vries is a lecturer and post-doctoral researcher at the Faculty of Science and Engineering , University of Groningen , Netherlands. His work focuses on Molecular Dynamics of membranes and proteins, utilizing computational models to study biomolecular systems. Research Areas : Physical Chemistry, Computational Biophysics, Self-Assembly Processes, Force Field Development, Nanotube Formation, and Membrane Dynamics Notable Contributions : Key publications on the MARTINI force field , nanotube self-assembly, and membrane protein delivery systems using nanodiscs Recent work includes high-resolution simulations of supramolecular fiber formation and coarse-grained modeling of organic materials. Collaborates extensively with international researchers in biomolecular simulation and nanotechnology fields.

Matthias Bickelhauptمشاهده پروفایل

استاد

• Computational Chemistry
• Theoretical Chemistry
• Organic Catalysis
• +۵ مورد دیگر

Prof. Matthias Bickelhaupt is a Full Professor at the Faculty of Science, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam (VU), and holds a concurrent position at AIMMS. He also serves as a Distinguished Visiting Professor at the University of Johannesburg and as a Bijzonder Hoogleraar (Extraordinary Professor) at Radboud University. His roles include editorial board memberships with journals like J. Comput. Chem. and Chemistry - An Asian Journal . Additionally, he is a Fellow of the Royal Society of Chemistry (FRSC) and a Chemistry Europe Fellow. His research focuses on computational chemistry, theoretical studies of reaction mechanisms, and catalytic processes. Key areas include density functional theory (DFT), molecular orbital analysis, and the design of catalysts using computational methods. He has contributed significantly to understanding organocatalyzed reactions, transition metal-catalyzed bond activations, and the stability of chemical bonds through ab initio and DFT benchmarking. Prof. Bickelhaupt’s recent work highlights advancements in computational tools like the Amsterdam Modeling Suite, structural stability analysis of organodichalcogenides, and mechanistic insights into Diels-Alder reactions and iron-catalyzed cross-coupling reactions. His contributions have been recognized through prestigious fellowships and editorial leadership roles in top chemistry journals. He supervises 33 PhD theses and actively contributes to academic activities, including lectures on advanced computational chemistry and molecular orbital theory. His datasets and software contributions further support the broader scientific community in computational chemistry and materials science.

Senja Barthelمشاهده پروفایل

استادیار

• Geometric topology
• Mathematical chemistry
• Spatial graphs
• +۵ مورد دیگر

Dr. Senja Barthel is an Assistant Professor at the Department of Mathematics, Faculty of Science, Vrije Universiteit Amsterdam. Her research bridges geometric topology and mathematical chemistry, focusing on spatial graphs and their applications in materials science. She is affiliated with the Center for Topology and Applications Amsterdam, Amsterdam Sustainability Institute, and NWO DIAMANT cluster. Current projects include Topology of molecular braids (NWO M1 grant), geometrical analysis for mass transport, and contributions to the NWA Emergence Consortium (WP4.3 and WP4.4). Research interests: entanglements in spatial graphs, embeddings in surfaces, pore geometry in materials, energy landscapes, crystal net topologies, and topological data analysis for molecular modeling. Teaching includes Linear Algebra, Differential Topology, and Calculus at BSc levels, with supervision of BSc and PhD projects. Her recent publications analyze ion diffusion in solids, thermal transport in ZIFs, and topological descriptors for crystal networks, reflecting interdisciplinary work combining mathematics, chemistry, and computational methods. Collaborators include Magnus Botnan (Dutch Applied Topology days) and Amber Mace (Uppsala Universitet).

• Spectroscopy
• Nanomaterials
• Quantum Materials
• +۶ مورد دیگر

Dr. Freddy Rabouw is an Associate Professor at Utrecht University's Faculty of Science, affiliated with the Debye Institute for Nanomaterials Science. His research focuses on energy, charge, and mass transport in nanostructured materials, with applications in sustainability, catalysis, and photonics. Expertise: Spectroscopy, Nanomaterials, Quantum Materials Soft Condensed Matter research sub-unit He employs time-resolved optical microscopy/spectroscopy and mathematical modeling to study individual nanocrystals and catalyst systems. Recent work includes: Energy-transfer pathways in rare-earth-doped materials Single-nanocrystal property variations Molecular diffusion in heterogeneous catalysts His 15 most recent publications span quantum dots, luminescence thermometry, and catalysis, emphasizing energy transfer mechanisms and operando analysis of dynamic systems. Media coverage includes articles in Trouw and Het Parool about quantum cutting and nanocrystal-based light generation.

• Wind Energy
• Aerospace Engineering
• Turbulence
• +۳ مورد دیگر

Dominic A. von Terzi is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Wind Energy through the TU Delft Wind Energy Institute (DUWIND). His work bridges fundamental fluid dynamics research with practical wind turbine engineering applications, focusing on enhancing operational reliability and performance in challenging environments. His research centers on Wind Energy and Aerospace Engineering, with deep expertise in Turbulence modeling, Large Eddy Simulation, and Wind Turbine Aerodynamics. He investigates critical phenomena including rain erosion on blade leading edges, transonic flow effects at turbine tips, and innovative concepts like floating offshore wind systems and airborne wind energy. His approach combines advanced computational modeling with real-world validation to address industry challenges in turbine durability and energy yield optimization. Recent publications reveal strong trends toward solving operational challenges in extreme conditions (erosion, transonic flow) and system-level innovations (wind-storage integration, airborne energy). These works emphasize computational rigor while exploring frontier concepts like hydrogen production from offshore wind and floating turbine platforms, reflecting a strategic shift toward holistic energy system design beyond standalone turbine optimization. Professor von Terzi chairs the European Research Community on Flow Turbulence and Combustion (ERCOFTAC) and leads research within the EU-funded MERIDIONAL project on multiscale wind farm modeling. He has supervised two students and maintains active industry engagement through media discussions on floating wind technology and grid integration. Embedded within DUWIND's collaborative ecosystem, his work leverages partnerships with institutions like ERCOFTAC and industry stakeholders to advance wind energy technology. Current efforts focus on erosion-safe operational modes, transonic flow management, and scaling airborne wind energy systems, positioning him at the forefront of next-generation wind energy solutions.

• Mathematical Biology
• Dynamical Systems
• Quantitative Developmental Biology
• +۴ مورد دیگر

Roeland Merks is a Professor of Mathematical Biology at Leiden University's Faculty of Science, holding dual appointments in the Mathematical Institute (Analysis and Dynamical Systems group) and the Institute of Biology Leiden (Animal Sciences). His research bridges advanced computational modeling with biological questions, focusing on vascular development, tumor angiogenesis, and quantitative developmental biology. His research interests center on mathematical modeling of biological systems , particularly using agent-based approaches like the Cellular Potts Model to simulate lumen formation, tumor vasculature, and developmental processes. Key areas include computational angiogenesis, vascular network dynamics, endothelial cell behavior, and mathematical oncology. His work integrates dynamical systems theory with biological experimentation to unravel complex morphogenetic processes. Analysis of his recent publications reveals a strong trend toward translational computational biology , with increasing focus on tumor vasculature repair mechanisms, infant gut modeling, and plant sensory systems. His work consistently applies mathematical rigor to biomedical problems, particularly in understanding how physical forces and biochemical signals interact during vascular development. Professor Merks actively mentors doctoral candidates including Tessa Vergroesen and David Mattias Versluis, with former students such as Burak Demirbaş and Lisanne Rens contributing to his research legacy. His laboratory operates at the mathematics-biology interface, developing computational frameworks that generate testable biological hypotheses.