Marcel Rutten is an Assistant Professor at Eindhoven University of Technology's Department of Biomedical Engineering , affiliated with the Cardiovascular Biomechanics research group. His work focuses on vulnerable plaque characterization, biomechanical modeling, and advanced imaging techniques like photoacoustics and ultrasound. He contributes to educational programs in Cardiovascular Fluid Mechanics , Vascular Mechanics , and Engineering Design . Research Themes : Vulnerable plaque mechanics, photoacoustic signal simulation, strain imaging, and in-vitro cardiovascular models. Technical Expertise : Optical fluence modeling, acoustic wave propagation, thermodilution curve analysis, and Eulerian simulation methods. Recent Publications demonstrate interdisciplinary applications spanning cardiovascular biomechanics, plant genetics, and photonic sensor development. Collaborations : Engaged with international teams in France, Netherlands, and beyond through institutions like Eindhoven MedTech Innovation Center and Biomedical Diagnostics Lab.
Harm Knoops is a part-time Assistant Professor in the Department of Applied Physics, Plasma & Materials Processing at Eindhoven University of Technology (TU/e). Additionally, he serves as an Atomic Scale Segment Specialist for Oxford Instruments Plasma Technology (OIPT), maintaining a dual role that bridges academic research with industrial applications in atomic scale processing. Education: PhD in Applied Physics at Eindhoven University of Technology (2011) Thesis: "Atomic Layer Deposition: From Reaction Mechanisms to 3D-integrated Micro-batteries" Work visit to Argonne National Labs (USA) during PhD studies Knoops' research focuses on plasma-based synthesis of thin films and atomic layer deposition (ALD) processes. His primary expertise lies in understanding and developing plasma ALD, where he has made significant contributions to RF substrate biasing techniques and the growth of 2D materials like MoS 2 . His work on redeposition effects in silicon nitride ALD has provided critical insights for semiconductor manufacturing. Knoops' research uniquely combines fundamental understanding of plasma processes with industrial relevance, addressing challenges in both academic and commercial settings. Analysis of his publication record reveals a strong focus on the physical mechanisms underlying plasma-assisted ALD processes across multiple application areas. His work spans semiconductor technology (particularly silicon nitride deposition for transistors), energy storage (nanostructured Li-ion batteries), and advanced materials synthesis (2D materials). The consistent theme is investigating surface reactions, film growth mechanisms, and process optimization in atomic-scale deposition techniques, with emphasis on conformality in high aspect ratio structures and process diagnostics. Harm Knoops has published 40 peer-reviewed papers with 9 as first author (including one review paper), achieving an H-index of 22 and accumulating 1,126 citations according to Web of Science. His research has been well-received by the scientific community, with several publications receiving significant attention in the field of atomic layer deposition and plasma processing. While working at Oxford Instruments Plasma Technology since 2014, Knoops has focused on advancing deposition techniques and deepening the understanding of ALD processes, particularly for nitrides. His industry position complements his academic role, allowing him to translate fundamental research into practical applications. At TU/e, he contributes to educational activities in "Plasma processing science and technology," sharing his expertise with students and researchers. Knoops is affiliated with multiple research groups including the Center for Quantum Materials and Technology Eindhoven, the Atomic Scale Processing group, and the Plasma & Materials Processing group. These affiliations reflect the interdisciplinary nature of his work, which spans materials science, plasma physics, and semiconductor processing, connecting fundamental research with industrial applications in nanofabrication.
Bert van Beek is an Assistant Professor at the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on modeling, interactive simulation-based validation and visualization, supervisory control synthesis, and real-time controller code-generation for hybrid industrial systems. He is affiliated with the Control Systems Technology group and EAISI High Tech Systems, and is one of the founders of and major contributors to the CIF formalism and toolset. His academic background includes: Master of Science in Electrical Engineering from TU/e (1985, with distinction) PhD from TU/e (1993) Van Beek's research interests center around model-based engineering approaches for supervisory controller development. He has been instrumental in developing frameworks that combine formal methods with practical industrial applications, particularly in the areas of discrete-event systems and supervisory control synthesis. His work emphasizes the importance of proper theory and tools to achieve better systems in shorter development times. He has contributed significantly to the Eclipse Supervisory Control Engineering Toolkit (ESCET™), which supports the entire development process of controllers from specification to code generation. Analysis of his recent publications reveals a consistent focus on applying formal methods to industrial control problems. His work spans diverse application domains including baggage handling systems, infrastructure management, and complex machinery coordination. A common thread is the development of model-based approaches that enable automatic generation of correct-by-construction controllers. His research increasingly addresses challenges in scaling these techniques to handle real-world system complexity while maintaining usability for industrial practitioners. Van Beek has been actively involved in several international research projects including HYCON 1 and 2 (EU networks of excellence) and EU FP7 projects C4C and Multiform, where he served as work package leader. His collaborations span both academic and industrial partners, with notable projects involving Rijkswaterstaat (Dutch infrastructure agency) and ASML. He is a member of the Control Systems Technology group, which is part of the EAISI High Tech Systems initiative and Group Steinbuch at TU/e. This research group focuses on developing theoretical foundations and practical tools for model-based design of supervisory controllers, with applications across various industrial sectors.
Wan Fokkink is a part-time Full Professor of Model Based System Engineering at the Eindhoven University of Technology (TU/e) , affiliated with the Control Systems Technology Group in the Faculty of Mechanical Engineering. His research bridges theoretical computer science and mechanical engineering, focusing on formal methods for distributed systems and safety-critical software. Education : MSc in Mathematics (University of Amsterdam), PhD in Computer Science (University of Amsterdam) Affiliations : Vrije Universiteit Amsterdam (Full Professor of Theoretical Computer Science since 2004), TU/e (since 2012) Research Interests include applying formal modeling techniques to synthesize PLC code for civil engineering structures, protocol verification, and multi-valued abstraction methods. His work often involves collaboration with industry partners and national research institutes. Key Contributions are in model-based design frameworks that automate software transformation from requirements, with applications in baggage handling systems, network protocols, and distributed control algorithms. He co-founded IFIP Working Group 1.8 and chaired the national research school IPA board.
Bernard Geurts is a Part-time Full Professor at the Department of Applied Physics and Science Education at Eindhoven University of Technology. He is affiliated with the Soft Matter and Biological Physics research group, focusing on computational modeling of thermal and fluid dynamics. Research areas: Thermal conductivity in nanocomposites, atmospheric planetary flow, and turbulent combustion modeling. Research Trends : His recent publications emphasize numerical accuracy in simulating heat transfer in graphene-coated materials, Kapitza resistance reduction via molecular functionalization, and advanced methods for turbulent combustion. The work also includes geometrically consistent modeling of planetary atmospheric dynamics using Lie-Poisson truncations. Grants & Collaborations : Funded by the Dutch Research Council (NWO) through the Open Technology Program (project 18052) and supported by SURF Cooperative for computational infrastructure.
Martijn van Beurden is a Full Professor in the Electromagnetics group at Eindhoven University of Technology's Department of Electrical Engineering. His research focuses on computational electromagnetics for high-tech systems, particularly inverse scattering problems and electromagnetic field optimization. Key affiliations: Electromagnetic and Multi-Physics Modeling and Computation Lab, Center for Wireless Technology Eindhoven, EAISI Foundational Research Interests : Specializes in numerical methods for electromagnetic wave analysis, design, and detection. Areas include inverse scattering, integral equations, nonlinear optimization, and modeling of stochastic/uncertain electromagnetic fields. Current projects address periodic structures, antenna design, and soft X-ray metrology. Scientific Awards : C.I.V.I. prize for Electrical Engineering (MSc thesis, 1997) ASML prize for best PhD thesis in applied research (2004) Advising & Collaborations : Collaborates with researchers like Stefan Eijsvogel, Roeland Dilz, and Radovan Bojanic on computational electromagnetics projects.
M. Snellen is a full Professor in the Control & Operations department at the Faculty of Aerospace Engineering, Delft University of Technology. With 239 research outputs spanning aircraft noise modeling, drone acoustics, and marine remote sensing, their work bridges aerospace engineering and environmental impact assessment. Research focuses on aircraft noise propagation , drone localization via acoustic arrays , and marine geospatial analysis . Key methodologies include computational aeroacoustics, multibeam sonar data processing, and deep learning for satellite bathymetry. Recent work examines nitrogen deposition from aviation emissions and propeller noise in non-axial inflow conditions. Their publication trends reveal strong emphasis on practical aerospace applications: 45% aircraft engineering, 35% acoustics, and 31% measurement modeling. Current projects integrate drone technology with environmental monitoring, particularly in marine ecosystems and aviation emission impacts. Supervision includes 14 graduate research projects across noise modeling and remote sensing domains. Major datasets managed include aviation emissions databases (openAVEM), North Sea seabed mapping, and tide-surge simulations covering 1980-2020. Active in editorial work for Hydro International since 2007 and organizer of the 2014 workshop 'Aircraft Noise: The major sources, modelling capabilities, and reduction possibilities', with media coverage on UAV airspeed sensors and aviation's global nitrogen deposition impact.
Thijs J.H. Vlugt is a Professor and Chair of Engineering Thermodynamics at the Process & Energy Department within the Mechanical, Maritime and Materials Engineering (3ME) faculty at Delft University of Technology. His research focuses on molecular simulation techniques applied to thermodynamics and transport phenomena in porous materials, with particular emphasis on gas separation, CO 2 capture, hydrogen storage, and energy applications. His research interests span molecular simulation, thermodynamics, and computational chemistry, with specific expertise in adsorption, diffusion, and phase equilibria in nanoporous materials including metal-organic frameworks (MOFs), zeolites, and deep eutectic solvents. His work integrates computational methods with experimental validation to develop fundamental understanding of molecular behavior in confined spaces and to design advanced materials for energy and environmental applications. Analysis of his recent publications reveals a strong focus on computational methodologies for predicting thermodynamic properties, with significant contributions to force field development, Monte Carlo and molecular dynamics simulations, and machine learning applications in molecular simulation. His work spans from fundamental molecular-level understanding to practical applications in carbon capture, hydrogen storage, and water harvesting technologies. NWO VICI grant (1.5M) for innovative research in molecular simulation Professor Vlugt has supervised over 40 PhD students across diverse topics in molecular simulation and thermodynamics, establishing himself as a leading mentor in the field. His research has been supported by substantial grants including the prestigious NWO VICI award. He has developed several open-source software tools including RUPTURA for adsorption breakthrough calculations, Brick-CFCMC for Monte Carlo simulations, and iRASPA for materials visualization. His laboratory maintains strong focus on computational thermodynamics with specialized expertise in continuous fractional component Monte Carlo methods, Kirkwood-Buff theory, and development of force fields for complex systems. The research group collaborates extensively with both academic and industrial partners on applications ranging from carbon capture to hydrogen storage and sustainable material design.
L.A.I. Kestens is a Professor in the School of Engineering specializing in advanced materials characterization and metallurgical research. Active in both academic and industrial collaboration, their work bridges fundamental crystallography with practical steel manufacturing applications. Research focuses on microstructure evolution , crystallographic texture analysis , and recrystallization phenomena in ferrous alloys. Key methodologies include electron backscatter diffraction (EBSD), X-ray diffraction, and computational modeling to investigate deformation mechanisms in automotive steels, dual-phase systems, and additively manufactured components. Recent work emphasizes texture control strategies for next-generation steel grades and failure mechanisms in bimetallic structures. Current publications reveal strong trends in additive manufacturing metallurgy (particularly wire arc processes), computational texture prediction , and liquid metal embrittlement . The 2025 articles demonstrate integration of experimental characterization with physics-based modeling to solve industrial challenges in steel processing. Award highlights: Sawamura Award of the Iron and Steel Institute of Japan (2007) for TRIP-aided steel research Best Paper Award for AA6016 texture-plasticity studies (2009) Supervision includes 9 graduate research projects with emphasis on texture-microstructure-property relationships. Collaborative activities span editorial work, 16 conference/workshop presentations (including invited lectures at major metallurgy forums), and industry-focused research on automotive steel sheet processing. Press coverage includes media engagement on razor blade metallurgy and European steel industry competitiveness. Active research teams focus on quantitative microstructural analysis and texture control strategies, with recent work exploring plastic strain heterogeneities in BCC/FCC steels and boundary migration phenomena during recrystallization.
Sebas Wesseling serves as an Education/Research Officer specializing in Toxicology with significant contributions across 50 research publications and leadership in 8 major projects. His work bridges academic research and practical risk assessment applications in food safety and chemical toxicology. His research focuses on critical toxicological challenges: Pyrrolizidine alkaloids and their N-oxides as natural toxins Physiologically based kinetic modeling for dose-response analysis Hepatotoxicity mechanisms of plant-derived compounds Mycotoxin risk assessment in food chains Computational toxicology approaches for in vitro to in vivo extrapolation Interindividual variability in chemical metabolism Recent publications reveal a strong trend toward integrating advanced modeling techniques with experimental toxicology to address regulatory challenges, particularly for low-dose exposures of complex mixtures like pesticides, botanical toxins, and pharmaceuticals. His work consistently targets real-world risk assessment applications with emphasis on human relevance. Wesseling actively mentors the next generation of toxicologists through PhD supervision: Y. Alhejji: Risk assessment of Saudi Arabian food chain contaminants F. Widjaja-van den Ende: Alternative testing for pyrrolizidine alkaloid toxicity I. Gilbert Sandoval: Mycotoxin risk assessment in maize products M. Hiben: Safety evaluation of traditional health food 'Ashkulebya' A. Alajlouni: Botanical toxin risk assessment of myristicin His current active project addresses emerging food safety issues in Saudi Arabia, while completed projects have established methodologies for pyrrolizidine alkaloids, mycotoxins, and botanical food toxins that inform international regulatory frameworks.
Prof. P. Palensky is a full Professor at the Electrical Sustainable Energy Department within the College of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His work focuses on power systems, grids, and energy systems with an emphasis on simulation, control, and optimization. Research Themes: Cyber-physical power systems, multi-energy systems, voltage control, distributed energy resources, smart grids, and hybrid deep learning frameworks. Recent Work: 2025 studies include energy storage dispatch optimization, anomaly detection in grids, and phase identification models. Awards: Recipient of the Hidde Nijland Prize (2022) for outstanding contributions to energy technology. Collaborations: Active in the TwinEU consortium project and partnerships with Alliander and PowerWeb Institute.
Prof. G. Eitelberg is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Flight Performance and Propulsion. His work bridges experimental and computational research in aerodynamics, combustion, and vortex dynamics with applications in sustainable propulsion systems. His core research areas include: Combustion Science : Hydrogen-methane dual-fuel systems, swirl-stabilized combustors, and partially premixed flame modeling Vortex Dynamics : Precessing vortex core behavior, confinement effects in swirled flows, and aerodynamic instability Advanced Vehicle Design : Wing-in-ground effect vehicles and ground-effect aerodynamics Recent publications (2022-2025) demonstrate a clear trajectory toward decarbonized propulsion, with 70% of output focused on hydrogen combustion and vortex-driven flow control. His experimental work frequently integrates high-fidelity numerical validation, particularly using LES for turbulent reactive flows. Prof. Eitelberg has supervised 7 students according to institutional records. His research group operates within the Flight Performance and Propulsion department, utilizing advanced experimental facilities for combustion testing and aerodynamic validation, including wind tunnels and optical diagnostics for flow visualization.
Francesco Lombardi is an Assistant Professor at the Delft University of Technology (TU Delft) within the School of Technology, Policy and Management , Energy and Industry department. He specializes in computational methods for energy system design, emphasizing social justice and technical robustness. PhD in Energy Engineering from Politecnico di Milano Visiting researcher at ETH Zurich and KU Leuven His research focuses on Modelling to Generate Alternatives (MGA) methods, including the SPORES algorithm , integrated into the open-source energy framework Calliope . He leads the development of RAMP software , a stochastic model for energy demand profiles in data-scarce scenarios like remote areas and future electric-vehicle fleets. Current projects include advancing MGA methods for policy-relevant energy questions and contributing to the PowerWeb Institute , Urban Energy Institute , and Open Energy Modelling Initiative . His work spans urban-to-national scales, addressing multi-energy systems and decarbonization strategies. Notable publications include studies in Joule and Applied Energy on renewable deployment, fossil fuel elimination, and smart charging. Collaborations involve industrial and academic partners, with software like RAMP co-funded by institutions such as Reiner Lemoine Institut and University of Liège.
Sebastian Weingärtner is an Associate Professor at the Faculty of Applied Sciences , Delft University of Technology , specializing in MRI Imaging and medical visualization. He leads interdisciplinary research bridging physics and biomedical applications to enhance cardiovascular imaging. Education: Diplom-Informatiker (Würzburg University, 2011), PhD (Harvard Medical School & Heidelberg University, 2014) Experience: PostDoctoral Fellow at Heidelberg University (2015-2016), University of Minnesota (2016-2017), HHMI Fellow at Stanford University (2017-2019) His research focuses on advancing MRI relaxometry, color-map standardization, and quantitative imaging techniques to improve clinical diagnostics. Key themes include cardiovascular magnetic resonance , image processing , and physics-driven medical imaging innovations . Recent publications highlight trends in cardiac MRI mapping , TRAFF2 relaxation modeling , and color-map optimization , emphasizing accessibility and sustainability in cardiovascular imaging. Collaborations span institutions like Stanford, Harvard, and Heidelberg. Scientific Awards: HHMI Fellow He teaches courses such as Medical Imaging Signals and Systems and contributes to the TU Delft Lab Webpage for applied physics research. His work integrates simulation, interpolation, and phantom-based validation in NMR imaging.
Dr. Iman Esmaeil Zadeh is an Assistant Professor at Delft University of Technology's Faculty of Applied Sciences , specifically affiliated with the Department of Imaging Physics and the Optics Research Group . After completing his PhD in applied physics (2016) at TU Delft, he gained industrial experience at Single Quantum B.V. before returning to academia as a postdoctoral researcher. Academic Background: B.Sc. in Electrical Engineering (Iran), dual M.Sc. in System-On-Chip & Material Physics/Nanotechnology (Sweden) Current Role: Assistant Professor in quantum nano-photonics Research Interests center on: Developing ultrahigh-efficiency single-photon detectors with superconducting nanowires Reconfigurable quantum nano-photonics for hybrid integration His work spans cryogenic technology, photonic circuit design, and quantum device characterization. Recent publications highlight advancements in: Attojoule-scale superconducting memory systems Heterogeneous integration of silicon carbide and lithium niobate Statistical tomography for detector optimization The Optics Research Group focuses on disruptive optical technologies, and Dr. Zadeh contributes through: Quantum photonics experiments Single-photon spectroscopy Superconducting bioimaging applications
