Tom Engels is a part-time Associate Professor in Polymer Mechanics at Eindhoven University of Technology (TU/e) and Principal Scientist at Envalior (former DSM Engineering Materials). He bridges academic research with industrial applications in polymer physics, processing, and mechanical performance. PhD in Mechanical Engineering (2008, TU/e, with honors) MSc in Mechanical Engineering (2005, TU/e, with honors) His research focuses on polymer mechanics, particularly connecting processing conditions to final properties of polymers and composites. Key areas include: Crack propagation and fatigue behavior Thermomechanical history effects Fiber orientation and environmental aging Structure-property relationships Fracture toughness of thermoplastic elastomers Viscoplastic modeling of composites His recent publications highlight trends in: Environmental degradation of polyamides Rate-dependent failure in elastomers Phenomenological models for fatigue prediction Physical aging in glassy polymers Microstructural analysis of composites Process zone characterization Scientific Awards: PhD with honors (2008, TU/e) MSc with honors (2005, TU/e) European Commission H2020 Marie Skłodowska-Curie grant (765811) DSM Ahead financial support As a Principal Scientist at Envalior, he applies academic insights to engineering materials development. His work spans from fundamental polymer physics to industrial applications like ultra-strong fibers and composite design.
Margarita Kruteva serves as a Senior Scientist at the Jülich Centre for Neutron Science (JCNS), Forschungszentrum Jülich, where she leads research in the Neutron Scattering and Soft Matter group (JCNS-1). Her work centers on experimental investigations of polymer systems and soft matter using advanced neutron spectroscopy and NMR techniques. Her academic background includes: PhD in Physics from Kazan State University, Russia (2003) Following her doctorate, Dr. Kruteva conducted postdoctoral research at the University of Leipzig (2005) studying exchange processes in nanoporous materials via pulsed field gradient NMR. She then joined Forschungszentrum Jülich as an EU-sponsored postdoc, examining polymer dynamics in confined nanoporous environments through high-resolution neutron spectroscopy before advancing to her current Senior Scientist position in 2013. Her research spans neutron scattering methodologies, soft matter physics phenomena, and the structural/dynamic properties of polymers—including nanocomposites, ring polymers, and confined systems. She integrates pulsed field gradient NMR with neutron spectroscopy to probe molecular-scale material behaviors, contributing to fundamental understanding in polymer science and soft condensed matter physics. As part of JCNS-1, Dr. Kruteva utilizes cutting-edge neutron scattering infrastructure at Forschungszentrum Jülich, collaborating internationally to advance materials characterization in complex macromolecular systems.
Jean-Baptiste Sylvain Béguin is an Assistant Professor in the Quantum Optics and Photonics group at the Niels Bohr Institute, University of Copenhagen. His research focuses on experimental quantum optics with particular emphasis on light-matter interactions at the quantum level, especially using one-dimensional atomic systems. Dr. Béguin completed his PhD at the Niels Bohr Institute in 2015 with his thesis "A One-Dimensional Quantum Interface between a Few Atoms and Weak Light." His academic career demonstrates specialized expertise in quantum interfaces, atomic physics, and quantum measurement techniques. His primary research interests include quantum spin phenomena, coherent light scattering, quantum noise characterization, and optical trapping techniques. Dr. Béguin investigates how quantum correlations manifest in light-atom systems, with applications in quantum communication and quantum information processing. He specializes in creating and manipulating quantum states using precisely controlled atomic ensembles in one-dimensional geometries. Analysis of his publication record reveals a clear research trajectory from fundamental quantum phenomena (2014-2016) to increasingly complex systems involving optomechanical interactions and nanoscale optical trapping (2017-2020). A consistent theme across his work is the use of one-dimensional geometries for enhanced light-matter coupling, enabling novel quantum control and measurement capabilities. His publications demonstrate strong technical expertise in both experimental implementation and theoretical understanding of quantum optical phenomena. Dr. Béguin has published in prestigious journals including Physical Review Letters (124 citations for his 2016 paper), Physical Review X, Optics Letters, Applied Physics B, and Proceedings of the National Academy of Sciences. His work has been cited over 300 times collectively, with significant social media engagement and mentions in news outlets. As part of the Quantum Optics section at the Niels Bohr Institute, Dr. Béguin likely participates in teaching activities and mentors graduate students in experimental quantum optics. His research program contributes to the broader quantum technology initiatives at one of the world's leading physics institutions, collaborating with researchers like Eugene S. Polzik and Jürgen H. Müller. The Quantum Optics and Photonics group where Dr. Béguin works is embedded within the Niels Bohr Institute's research ecosystem that includes Astrophysics and Planetary Research, Biocomplexity and Biophysics, and the Cosmic Dawn Center. This environment provides access to state-of-the-art facilities for quantum optics experiments and opportunities for interdisciplinary collaboration.
Dr. Shaun McFadden is a Senior Lecturer in Mechanical Engineering at Ulster University's School of Computing, Engineering and Intelligent Systems, based at the Derry~Londonderry campus. He serves as the course coordinator for all undergraduate Engineering programs, including Mechanical and Manufacturing Engineering, Renewable Energy Engineering, and Electrical and Electronic Engineering, with responsibility for both full-time and part-time students. Education: BE - University College Dublin (1997) MEngSc - University College Dublin (1999) PhD - University College Dublin (2007) PG Cert in Third Level Teaching and Learning - Dublin Institute of Technology (2012) Research Interests: Dr. McFadden's research focuses on computational materials science with applications in manufacturing processes. His primary expertise includes: Solidification and phase change modeling in metallic alloys Additive manufacturing processes (especially powder bed fusion) Microgravity experimentation using International Space Station data Defect generation and powder characterization Automotive engineering applications (driveline and suspension systems) He maintains strong industry connections and has significant experience in off-road automotive design. Publication Analysis: Dr. McFadden's recent publications (2018-2025) demonstrate consistent focus on advanced manufacturing techniques, with particular emphasis on powder characterization for additive manufacturing, microgravity solidification experiments, thermal modeling of manufacturing processes, and defect prediction in metallic systems. His work shows increasing specialization in powder bed fusion technologies since 2018. Awards and Honors: Chartered Engineer (CEng) - Engineers Ireland Fellow of the Higher Education Academy (FHEA) Conference Chair for 39th International Manufacturing Conference (2023) Scientific Board Member for Eighth International Conference on Solidification and Gravity (SG24) Research Leadership: Dr. McFadden leads several significant research initiatives: Principal Investigator for NUCLEATE project (2020-2021) Co-Investigator for North West Centre for Advanced Manufacturing (2017-2022) Conference chair and proceedings editor for IMC39 (2023) He collaborates extensively with industry partners and international research teams in materials science. Laboratories and Teams: Dr. McFadden works within Ulster University's Engineering Research group, focusing on advanced manufacturing technologies. He collaborates with the European Space Agency on microgravity solidification experiments and maintains research partnerships with the International Space Station science teams.
Miren Aristizabal Segarra serves as a Senior Researcher at CEIT (Asociación Centro Tecnológico Ceit), an institution formally linked to the University of Navarra where she maintains her primary academic affiliation. She completed her doctoral studies at the University of Navarra in 2011, defending a thesis on the sintering behavior and wear/oxidation resistance properties of WC-Ni-Co-Cr composite alloys under the supervision of Dr. José Manuel Sánchez Moreno. Her research centers on advanced materials engineering, with particular expertise in Metallurgy and Materials Science . Key focus areas include Tribology (wear mechanisms), Corrosion Science , Sintering processes , and the development of hard metal composites for industrial applications requiring high durability. As part of CEIT's research infrastructure—a technological center collaborating closely with the University of Navarra—she contributes to materials engineering projects within multidisciplinary teams focused on materials characterization and performance optimization.
Dr. Lucas Hof is a Professor at the Department of Mechanical Engineering , École de technologie supérieure (ÉTS), University of Québec . He holds a B.Sc. , M.Sc. from Delft University of Technology and a Ph.D. from Concordia University. Research Axes: Aeronautics/Aerospace, Sustainable Development & Circular Economy, Innovative Materials, Intelligent Systems Labs: NUMERIX (Organizational Engineering), DYNAMO (Machine Dynamics), CIRODD (Sustainable Development), LFIC (Smart Manufacturing) His research focuses on advanced manufacturing (SACE micromachining, additive manufacturing), smart corrosion monitoring in bolted joints, industry 4.0/5.0 integration , and circular economy strategies for materials like eggshells and titanium alloys. Recent work explores neural networks for powder coating optimization and electrochemical post-processing of 3D-printed parts. Key publications span glass machining ( Manufacturing Letters ), smart maintenance systems ( IFAC-PapersOnLine ), and circular supply chains ( Journal of Cleaner Production ). He co-supervises numerous PhD/MSc students in topics including solar panel design, medical mask recycling, and metamaterial applications.
Dr Lawal Umar Daura is a researcher at the Department of Engineering and Technology , part of the School of Physics, Engineering & Computer Science at the University of Hertfordshire . His work focuses on electromagnetic sensor design and wireless power transfer applications in non-destructive testing. PhD in Electrical and Electronic Engineering (2022), Newcastle University M.Eng in Electrical Engineering (2014), Bayero University B.Eng in Electrical Engineering (2005), Bayero University His research lies at the intersection of non-destructive testing , embedded systems , and IoT connectivity , with specific emphasis on: Wireless power transfer for eddy-current testing Electromagnetic acoustic transducers IoT-enabled sensor systems Magnetic flux leakage analysis for defect detection Recent publications demonstrate his focus on resonant circuit design , crack detection in railways , and semiconductor strain gauge integration for force measurement, primarily in IEEE Transactions and Nondestructive Testing and Evaluation journals.
Iris Hardege is a researcher affiliated with the Department of Zoology at the University of Cambridge. As part of the Cambridge NERC Doctoral Landscape Awards (CREATES), she focuses on the molecular complexity of neurotransmission in invertebrates, particularly nematodes, and its evolutionary and ecological significance. Key Research Areas: Ligand-gated ion channels (LGICs), G-protein-coupled receptors (GPCRs), sensory biology, parasite control, neurophysiology, and evolutionary adaptation. Methodologies: Genetics, electrophysiology, high-resolution imaging, behavioral analysis, and CRISPR/Cas9 gene editing. Her work explores how receptor diversity influences neural circuit function, behavioral plasticity, and environmental adaptation, with potential applications in developing novel anti-helminthics for agricultural parasites. Current projects aim to characterize novel amine-gated ion channels, investigate pharmacological evolution in nematode-specific receptors, and conduct comparative analyses of neurotransmitter systems across invertebrates. Her recent publications highlight expertise in invertebrate neurobiology, ion channel characterization, and evolutionary studies across species like C. elegans and Octopus vulgaris . She collaborates with interdisciplinary teams under the C-CLEAR DTP program, integrating bioinformatics and molecular techniques to uncover mechanisms of neural signaling.
Lorenzo Scalise is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) , Università Politecnica delle Marche (UNIVPM) , specializing in mechanical and thermal measurements. He plays a key role in advancing biomedical engineering through rigorous metrological approaches to wearable and diagnostic technologies. Research Focus : Biomedical signal analysis, wearable device validation, and medical metrology. Department : DIISM, part of UNIVPM's College of Engineering. Contact : l.scalise@staff.univpm.it His work bridges engineering and healthcare, emphasizing wearable technology accuracy, physiological signal integrity, and medical device calibration. Recent publications highlight innovations in: ECG and PPG sensor validation EEG-based biometric authentication Respiratory and gait parameter measurement Bone vibrational analysis Machine learning for health monitoring
Nils Daniel Meyer-Kahlen is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering in Espoo, Finland. Affiliated with the Virtual Acoustics research group and Aalto Acoustics Lab, his work bridges theoretical audio engineering with practical virtual reality applications through cutting-edge spatial audio research. His research focuses on room acoustics modeling, binaural rendering, and perceptual evaluation in virtual environments. Key interests include blind estimation of acoustic parameters, machine learning applications for audio synthesis, and the development of transfer-plausible audio for augmented reality. He investigates how humans perceive spatial audio cues and develops methods to improve authenticity in mixed reality through psychoacoustic validation. Recent publications reveal strong trends in deep learning for room impulse response generation, novel reverberation techniques like Dark Velvet Noise, and perceptual evaluation frameworks. His work consistently addresses virtual reality audio challenges including motion-to-sound latency, room transition rendering, and the impact of early reflections on spatial perception. As part of Aalto's Acoustics Lab team, Dr. Meyer-Kahlen contributes to Finland's leading spatial audio research hub known for chamber music hall studies, sauna acoustics exploration, and open dataset creation like the multi-room transition energy decay collection. The lab maintains strong industry collaborations while advancing fundamental audio science.
Dr. Mark Adriaan van Zuilen serves as a Researcher in the Department of Petrology at the Faculty of Geosciences, Utrecht University. His academic work is conducted from the Vening Meinesz Building A at Princetonlaan 8a, 3584 CB Utrecht, The Netherlands. Specializing in petrology, Dr. van Zuilen's research encompasses the comprehensive study of rocks including their composition, texture, structure, and formation processes. His work contributes to fundamental geological understanding of Earth's crustal evolution, magmatic systems, and mineral resource formation. As part of Utrecht University's geoscience community, his research likely integrates field observations, laboratory analyses, and theoretical modeling approaches to address complex geological questions. The Petrology research group at Utrecht operates within the broader Earth Sciences division, maintaining specialized laboratories for petrographic analysis, geochemical characterization, and experimental petrology. Dr. van Zuilen's position as Researcher indicates his primary focus on advancing scientific knowledge through original investigation rather than classroom instruction.
Grégoire Eugene Philippe Messager is an Associate Professor (part-time) at the Department of Geosciences, University of Oslo , with his primary affiliation at Equinor. He contributes to the Section for Study of Sedimentary Basins , focusing on the interplay between structural geology and basin evolution. Research Themes : Salt tectonics, igneous intrusion-fluid interactions, diagenesis, and tectono-sedimentary processes in rift and orogenic basins. Key Regions : Andean foothills (Argentina), Central High Atlas (Morocco), Santos Basin (Brazil), and the North Sea. His recent publications highlight advancements in understanding: Salt-related basin architecture during continental break-up (2025) Structural controls on bitumen seeps in Neuquén Basin (2024) Quaternary fault activity in the Andes (2024) Vaca Muerta Formation's fluid history (2021) Technical Expertise : Integrates fieldwork, geochronology (U-Pb dating), and analogue modeling to study basin deformation and diagenetic evolution.
Jacob Seifert is a postdoctoral researcher in the Nanophotonics group at Utrecht University's Faculty of Science. He completed his Ph.D. in 2024 with a thesis titled "Differentiable Modeling for Computational Imaging." His research focuses on advanced metrology for logic semiconductor circuits through wavefront shaping, in collaboration with industrial partners, with the aim of developing highly precise nanoscale overlay (OVL) and alignment metrology techniques. He is based at the Leonard S. Ornstein Laboratory in Utrecht. Dr. Seifert's research interests center on computational imaging techniques, particularly ptychography, which reconstructs high-resolution images from diffraction patterns. His work bridges theoretical optics, computational physics, and practical applications in semiconductor metrology. He has developed expertise in noise modeling, automatic differentiation for optimization, and machine learning integration to improve imaging results. His technical skills include programming in Python, C++, Mathematica, and Matlab, along with data visualization and computational modeling. Analysis of Dr. Seifert's publication record reveals a strong progression from fundamental algorithm development to practical applications. His work demonstrates increasing sophistication in handling noise, optimizing illumination, and applying machine learning techniques to computational imaging problems. Recent publications show growing collaboration with industrial partners, highlighting the practical relevance of his research to semiconductor manufacturing processes. Dr. Seifert has not been mentioned as receiving any specific scientific awards in the available information. While no formal students are listed in the provided information, Dr. Seifert has collaborated extensively with researchers including Allard Mosk (his primary collaborator), Yiyi Shao, Sander Weerdenburg, and others in the Nanophotonics group. His research has been supported through academic-industrial partnerships focused on semiconductor metrology applications. Dr. Seifert is part of the Nanophotonics research group at Utrecht University, which focuses on advanced optical techniques for imaging and measurement at the nanoscale. His work integrates computational methods with optical physics to solve challenging problems in semiconductor manufacturing and nanoscale characterization, particularly in the area of extreme ultraviolet (EUV) imaging which is critical for next-generation chip fabrication.
Gian Luca Barbruni is a Postdoctoral Researcher at the Bio/CMOS Interfaces Laboratory at École polytechnique fédérale de Lausanne (EPFL), Switzerland, where he focuses on designing novel circuital architectures for in-memory sensing and computing, and on drinkable µm-sized bioelectronics for enhanced brain imaging and precise diagnostics. He also served as a Doctoral Assistant at the Integrated Systems Laboratory (LSI1) at EPFL. Dr. Barbruni earned his Ph.D. in Microsystems and Microelectronics from EPFL in 2023, focusing on the design and development of innovative cortical visual prosthesis to revert blindness. Prior to that, he received his M.Sc. in Biomedical Instrumentation (2019) and B.Sc. in Biomedical Engineering (2017) from Politecnico di Torino, Italy. His research primarily centers on the intersection of low-power mixed-signal IC design, wireless power transfer, and microfabrication techniques for biomedical applications. His work spans brain-computer interfaces, vision restoration technologies, cancer diagnostics, and electrochemical sensing systems. Dr. Barbruni's approach integrates circuit design with electrode-tissue interface engineering to create miniaturized, wireless neural interfaces that overcome limitations of traditional neurostimulation systems. His research on frequency-switching inductive links has demonstrated significant improvements in efficiency and power delivery for large-scale neural interfaces. His publication record shows a clear progression toward increasingly sophisticated and miniaturized neural interface systems, with recent work focusing on in-memory sensing for cancer diagnostics and advanced microfabrication techniques for electrode integration. The consistent theme across his publications is the development of wireless, miniaturized systems that can operate within safety constraints while delivering sufficient power for neural stimulation and sensing applications. Dr. Barbruni has received several notable recognitions for his work: Best Student Paper Award in Electronics at IEEE MOCAST, 2022 in Bremen, Germany As a Principal Investigator, he has secured multiple competitive grants including MINT-CMOS (Enable 2022) and WIMOS-RES (Enable 2022). He serves as a reviewer for prestigious journals including IEEE Transactions of Biomedical Circuits and Systems and IEEE Sensors Journal, and as a TPC member for major conferences such as IEEE BioCAS, IEEE Sensors, IEEE MeMeA, and IEEE ICECS. Dr. Barbruni is actively involved with the Bio/CMOS Interfaces Laboratory in Neuchâtel, part of EPFL's School of Engineering, where he leads research on novel circuital architectures for in-memory sensing and computing. His work on 'Neural Dot' represents a significant advancement in fully integrated monolithic chips for neural interfaces, featuring wafer-level CMOS-compatible post-processing techniques for electrode integration that address traditional challenges in miniaturized neural implant design.
Gil Robalo Rei is a Research Associate at the Institute for Numerical Mechanics within the TUM School of Engineering and Design at the Technical University of Munich (TUM). He has been working at the institute since 2021, contributing to research in computational mechanics and numerical methods, and is actively involved in teaching courses related to numerical methods and computational mechanics. His educational background includes: Master of Science (M.Sc.) in Mechanical Engineering from Technical University of Munich (2021) Bachelor of Science (B.Sc.) in Mechanical Engineering from Technical University of Munich (2018) Gil's research focuses on advanced computational methods for solving complex engineering problems. His primary interests span Uncertainty Quantification , Bayesian Methods , and Inverse Problems , with applications across multiple domains including solid-state battery technology, biomedical modeling, and materials science. His work often involves developing novel computational frameworks that integrate statistical methods with physics-based simulations to address challenges where traditional approaches fall short, particularly when dealing with computationally expensive forward models. Analysis of Gil's publication record reveals a strong trend toward interdisciplinary research that bridges computational mechanics with statistical inference. His work demonstrates expertise in applying Bayesian methods to inverse problems in diverse contexts such as tumor growth modeling, solid-state battery optimization, and powder system characterization. A notable pattern is his focus on developing computationally efficient approaches for problems with expensive forward models, often leveraging Gaussian processes and active learning techniques to reduce computational costs while maintaining accuracy. Gil has actively contributed to academic mentoring through supervision of student projects: Multiple Bachelor's and Master's theses in computational mechanics and related fields Research internships focused on engineering simulations Term papers and visualization labs exploring numerical methods His collaborative approach is evident in co-supervision with other researchers like Christoph Schmidt and Jonas Nitzler, reflecting the interdisciplinary nature of his work and the research environment at TUM. As part of the research group led by Prof. Wolfgang A. Wall, Gil contributes to the QUEENS framework development and participates in the broader activities of the Institute for Numerical Mechanics. His work connects with several research teams focusing on computational mechanics applications in energy storage systems, biomedical engineering, and advanced materials, demonstrating the versatility and applicability of his methodological contributions across different scientific domains.
