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Rémi CARMINATIView profile

Professor

• Wave Theory
• Scattering and Transport of Light in Complex Media
• Nano-optics

Rémi CARMINATI is a Professor at ESPCI Paris, affiliated with the Institut Langevin. His research focuses on wave propagation in complex media, light scattering dynamics, and nano-optics. He has contributed to understanding time-varying disorder, polarization depolarization mechanisms, and thermal radiation at micro/nanoscales. Key Research Themes : Wave Theory, Light Scattering in Correlated Media, Nano-optics, Anderson Localization, and Photonic Hyperuniformity. The 15 most recent articles demonstrate expertise in wave dynamics across temporal/spatial disorder, nonlinear photon diffusion, polarization statistics, and applications in thermal imaging, sensing, and metamaterial design. His work bridges theoretical optics with experimental validation using digital holography, photon Doppler velocimetry, and near-field microscopy. Rémi CARMINATI is actively involved in Institut Langevin research, collaborating on projects spanning electromagnetic field correlations, plasmonic nanostructures, and coherence-based imaging through scattering media. His methodological innovations include dwell-time operators for energy storage, reciprocity-based LDOS mapping, and diagrammatic approaches for photon echo analysis.

Kristie J KoskiView profile

Associate Professor

• Low-Dimensional Materials
• Two-Dimensional Materials
• Condensed Matter Physics
• +6 more

Kristie J Koski is an Associate Professor at the University of California, Davis, leading the Koski Lab. Her research focuses on low-dimensional materials, particularly 2D systems, to bridge fundamental physics with real-world applications like optoelectronics and sensors. She holds a Ph.D. from the University of California, Berkeley, and previously worked at Brown University and postdoctoral roles at Stanford and Arizona State University. Her research interests span intercalation chemistry, mechanical properties (via Brillouin spectroscopy), and environmental interactions of nanomaterials. Recent work highlights chemical tuning of acoustic phonons, phase transitions under pressure, and ultrafast carrier dynamics. She has pioneered studies on GeS nanosheets for photovoltaics and THz emission, as well as MoO3 nanoribbons for gas detection. Key Awards: NSF CAREER Award (2015), Nano Research Young Innovator (2019), JPhys50 (2017) Koski’s grants include the NSF CAREER-supported study of acoustic phonons in 2D materials. Her advising record is not explicitly listed, but her work has involved collaborations with postdocs and graduate students. She investigates biomimetic materials (e.g., marine sponge spicules) and biological interactions of nanomaterials, contributing to hazard screening frameworks. Her lab specializes in integrating experimental and computational methods to explore mechanical, electronic, and optical properties of layered materials. Ongoing projects target expanding intercalation strategies to new elements and exploring applications in sensors, energy storage, and environmental monitoring.

• Atmospheric Fluid Dynamics
• Oceanic Fluid Dynamics
• Vortex Dynamics
• +5 more

Prof David Dritschel is a Professor in the School of Mathematics and Statistics at the University of St Andrews, affiliated with the Vortex Dynamics Research Group. His research focuses on combining theoretical analysis and numerical computation to study atmospheric and oceanic fluid dynamics, particularly vortex dynamics and potential vorticity conservation. Key areas include numerical methods for shallow-water flows, gravity wave dynamics, and three-dimensional stratified flows. He collaborates with institutions like the European Centre for Medium-range Weather Forecasting and the UK Meteorological Office to develop realistic atmospheric and oceanic models. His work emphasizes Lagrangian techniques and innovative numerical methods such as the Elliptical Parcel-In-Cell (EPIC) method, which enhance accuracy in conserving potential vorticity. Research interests span vortex filamentation, merging/splitting dynamics, and the role of gravity waves in geophysical flows. He has supervised PhD students including Felipe Arevalo Escobar, Stefan Faaland, and Sarah Suber. Publications highlight contributions to fluid mechanics, computational physics, and geophysical fluid dynamics, with recent work appearing in journals like Journal of Fluid Mechanics and Physical Review D . Collaborations extend to particle physics topics involving Higgs field interactions. His methods address challenges in both two- and three-dimensional fluid systems, with applications to weather forecasting and ocean modeling. Labs/Teams: Active leadership within the Vortex Dynamics Research Group, fostering interdisciplinary research between mathematics and geophysical sciences.

Jianting YeView profile

Professor

• Quantum Interfaces
• Device Physics
• Condensed Matter Physics
• +5 more

Professor Jianting Ye is affiliated with the University of Groningen's Faculty of Science and Engineering, specifically within the Zernike Institute for Advanced Materials and the Device Physics of Complex Materials department. His research focuses on quantum interfaces, device physics, and condensed matter systems. Notably, he investigates phenomena such as superconductivity in two-dimensional materials, structural relaxation in twisted bilayers, and optoelectronic applications of phase-change materials. Ye serves as an Editorial Board Member of Scientific Reports and holds an Oversea Membership in the International Center for Quantum Design of Functional Materials (ICQD) in Hefei, China. His work spans experimental and theoretical studies of nanostructured materials, leveraging techniques like ARPES, focused ion beam processing, and ionic gating. Key areas include understanding electronic phases in layered systems, tuning correlated states via strain or external fields, and developing functional devices such as plasmonic structures and superconducting junctions. Recent advancements include achieving room-temperature phosphorescence in carbon dot nanocrystals and demonstrating unconventional superconducting states in Ising systems. Ye's contributions bridge fundamental material science with applied nanotechnology, addressing challenges in energy-efficient optoelectronics and quantum device engineering. His group's research emphasizes interdisciplinary approaches, combining advanced characterization tools with innovative material synthesis strategies.

Letty KoopmanView profile

Assistant Professor

• Psychometrics
• Statistics & Probability
• Education & Educational Research
• +5 more

Dr. Letty Koopman is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, Department of Educational Science. Her research focuses on psychometrics, statistics, and educational measurement, particularly in item response theory, multilevel data analysis, and Mokken scale analysis. She has contributed to advancing methodologies for clustered and two-level test data, addressing challenges in scalability coefficients and model fit evaluation. Her work bridges theoretical developments with practical applications in educational and psychological testing. Key research interests include nonparametric item response theory, inter-rater reliability, and statistical methodologies for complex data structures. Recent publications explore assumptions of two-level models and their applications in psychological and educational measurement. Koopman collaborates extensively with peers like B.J.H. Zijlstra and L.A. van der Ark, contributing to high-impact journals such as Psychometrika and Educational and Psychological Measurement . No scientific awards or grants are explicitly mentioned in the provided texts. Her work emphasizes methodological rigor in scaling techniques and improving test instruments for pedagogical practices. She maintains an active research agenda, with ongoing contributions to quantitative psychology and educational statistics.

Lars FritzView profile

Associate Professor

• Condensed Matter Theory
• Statistical Physics
• Computational Physics
• +4 more

Dr. Lars Fritz is an Associate Professor in Theoretical Physics at Utrecht University's Faculty of Science, affiliated with the Theoretical Physics (ITF) department. His research focuses on condensed matter theory, statistical physics, and computational methods, with a particular emphasis on topological phases, quantum transport, and strongly correlated systems. He holds a Ph.D. and has been active in publishing influential papers on topics such as Kondo effects, Dirac/Weyl semimetals, and topological insulators. His work often explores the interplay between disorder, interactions, and topology in materials. Key research areas include hydrodynamic behavior in 2D electronic systems, quantum critical phenomena in Kondo systems, and the role of symmetry in topological materials. Notable contributions include studies on graphene's hydrodynamics, Sachdev-Ye-Kitaev models, and fractal lattices. Dr. Fritz has authored over 48 publications, including reviews in the Annual Review of Condensed Matter Physics and high-impact journals like Physical Review B and Physical Review Letters. His teaching includes advanced theoretical physics courses, and he actively contributes to research groups exploring emerging quantum materials. While no specific grants or awards are listed in the provided texts, his extensive publication record underscores his significant academic contributions.

• Energy Materials
• Solid-State Batteries
• Materials Science
• +3 more

Raquel Lizarraga Jurado is an Associate Professor (Docent) in Energy Materials at Kungliga Tekniska Högskolan (KTH). She holds a PhD in Physics from Uppsala University and completed postdoctoral research at Los Alamos National Laboratory. Her research focuses on atomistic modeling and first-principles methods applied to energy materials, particularly solid-state Li/Na-ion batteries, glassy electrolytes, and non-collinear magnetism in transition metals. She contributes to sustainable energy systems aligned with UN SDGs 7 (Affordable Energy) and 13 (Climate Action). Education: PhD in Physics, Uppsala University Postdoctoral Research, Los Alamos National Laboratory Docent in Energy Materials, KTH (2023) Research interests include computational materials modeling, electrochemical stability of battery materials, and phase transitions in alloys. Her work bridges fundamental physics with industrial applications in hardmetals and energy storage. She teaches Additive Manufacturing (MG2044) . Research trends: Recent publications address 2D heterostructures for photovoltaics, cemented carbide mechanics, and high-entropy alloy design. These studies emphasize computational approaches to predict material performance and guide sustainable innovation. Labs/Teams: Active within KTH's Unit of Properties, focusing on experimental/theoretical synergy in materials development.

Michel F. C. HaddadView profile

Associate Professor

• Machine Learning
• Statistical Methodology
• Econometrics
• +5 more

Dr. Michel F. C. Haddad is an Associate Professor in Business Statistics at Queen Mary University of London, serving as Director of the Computational and Quantitative Methods (CQM) Research Cluster and a member of the Department of Business Analytics and Applied Economics. He holds a PhD from the University of Cambridge and has conducted postdoctoral research at The Alan Turing Institute and the University of Cambridge, focusing on AI explainability and economic systems modeling. His research spans two core areas: methodological innovations in statistical and machine learning (e.g., time series, unsupervised learning) and applied econometric modeling for real-world data (e.g., financial markets, pandemic analysis). Notable achievements include an Honorable Mention for Best Research at the Early Career Researchers Conference (2017) and full-time PhD scholarships from CAPES and Cambridge Trusts (2015–2019). Teaching contributions include awards for supervision and lecturing at Cambridge (2017–2019), and courses such as BUS135 and BUS164. He actively supervises PhD students José Medina-Reyes, Cagri Yuksel, and Yuanzhe Li. His work explores intersections between quantitative methods and societal challenges, with a focus on climate policy, financial systems, and health economics.

Samaneh NasiriView profile

Researcher

• Materials Science
• Nanomaterials
• Computational Materials Science
• +3 more

Samaneh Nasiri is a Researcher at the Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She is affiliated with the Materials Simulation (MATSIM) group, focusing on computational and experimental studies of advanced materials. Her research emphasizes nanocomposites, interfacial mechanics, and atomistic simulations of metallic systems. Key areas include magnesium-silicon carbide interfaces, dislocation dynamics in aluminum-CNT composites, and fracture mechanisms in nanomaterials. She has contributed to developing manufacturing techniques for enhanced magnesium alloys and pioneered multiscale modeling approaches for graphene-Pt nanoparticle structures. Her work bridges computational materials science with practical engineering applications, leveraging ab initio methods and molecular dynamics simulations. Recent projects address challenges in lightweight materials for aerospace and automotive industries through studies on metal-coated nanotube reinforcements and dislocation interactions in crystal defects. Her research is published in journals like Metals , Materialia , and Acta Materialia . Dr. Nasiri collaborates with Erlangen's Materials Science community and participates in FAU's interdisciplinary research initiatives. She maintains an active presence on academic platforms including ResearchGate and Google Scholar.

• Partially Hyperbolic Dynamics
• Ergodic Theory
• Dynamical Systems
• +3 more

Andy Hammerlindl is an Associate Professor in the School of Mathematics at Monash University. His research focuses on dynamical systems, particularly partially hyperbolic dynamics, ergodic theory, and geometric structures in topology. He has led and contributed to projects funded by the Australian Research Council (ARC), including investigations into non-hyperbolic dynamics and blender phenomena. His work bridges theoretical mathematics with computational methods, analyzing complex systems like heterodimensional cycles and Seifert fiberings. Key achievements include classifying partially hyperbolic surface endomorphisms and exploring mixing properties in skew products. Hammerlindl has held the Kalman Visiting Fellowship (2017) and serves as a lead investigator on multi-year ARC grants. His research spans over two decades, with notable contributions to ergodic components analysis and the structural stability of diffeomorphisms. He collaborates internationally with institutions and researchers across dynamical systems and geometry. Current projects aim to advance computer-aided proofs in non-hyperbolic dynamics. Publications highlight advancements in manifold structure analysis, dynamical incoherence, and quantitative mixing. His work often integrates topological and analytical techniques, addressing both foundational theory and applied computational challenges in dynamical systems.

• Probability Theory
• Statistical Mechanics
• Mathematical Physics
• +5 more

Christoforos Panagiotis is a Lecturer in the Department of Mathematical Sciences at the University of Bath. His research focuses on advanced topics in probability theory, statistical mechanics, and mathematical physics, with particular expertise in random-cluster models, lattice systems, and phase transitions. Panagiotis holds a Ph.D. in Mathematics and has contributed to foundational studies on Gibbs measures, critical phenomena, and geometric representations in stochastic models. His research interests span probability theory, including self-avoiding walks, phase transitions in lattice models, and scaling limits of stochastic processes. Notable work includes investigations into the Blume-Capel model's tricritical behavior and the quantitative analysis of sub-ballisticity in hexagonal lattice systems. Panagiotis leads the project Ising universality in the two-dimensional Blume-Capel model , funded by the Heilbronn Institute for Mathematical Research. Panagiotis' work often integrates analytical and combinatorial methods to explore complex systems, with applications to critical exponents, cluster distributions, and geometric probability. He collaborates internationally on topics such as random current models and stochastic processes on graphs, contributing to both theoretical advancements and applied mathematical frameworks.

David Andres Figueroa SalvadorView profile

Researcher

• Human-Robot Interaction
• Machine Learning
• Artificial Intelligence
• +3 more

David Andres Figueroa Salvador is a Postdoctoral Researcher at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University, Denmark. His work centers on human-robot interaction and machine learning applications in real-world contexts, especially for elderly care and healthcare technology. He earned his PhD from Osaka University, specializing in human-robot interaction. His educational background provides a strong foundation for his current research in socially assistive robotics. Dr. Figueroa's research interests span Human-Robot Interaction, Machine Learning, Artificial Intelligence, Social Robotics, Healthcare Robotics, and Elderly Care Technology. He investigates how technology can seamlessly integrate into daily life, with a focus on older adults facing cognitive decline, social isolation, and loneliness. His goal is to develop robotic systems that offer emotional support and combat cognitive deterioration through sustained, meaningful interactions. His recent publications (2021-2025) demonstrate a consistent focus on social robotics for elderly care, particularly targeting mild cognitive impairment and social isolation. His work ranges from fundamental machine learning algorithms to practical healthcare applications, including hand hygiene monitoring and conversational AI with character-inspired voices. This interdisciplinary research bridges computer science, psychology, and gerontology. No scientific awards were listed in the available information. Dr. Figueroa serves as a project participant in the Villum Foundation-funded 'Time-Traveling Conversations' project (2024-2026), which explores robots imitating historical figures' speaking styles. While no formal advisees are mentioned, his collaborative publications indicate active teamwork with researchers in Japan and Denmark. He conducts research within Aalborg University's Production Robotics and Automation group, collaborating with an international network of researchers as seen in his publications with institutions in Japan.

Arris TijsselingView profile

Associate Professor

• Fluid Dynamics
• Computational Fluid Dynamics
• Pipeline Systems
• +3 more

Arris Tijsseling is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science. His research focuses on fluid transients, computational fluid dynamics, and multiphase flow modeling with applications in pipeline systems. He has contributed to advanced numerical methods like smoothed particle hydrodynamics (SPH) and fluid-structure interaction (FSI) analysis. Notable work includes Lagrangian particle models for transient pipe flows and studies on manhole cover dynamics. His teaching responsibilities include courses on computational science and calculus. Key research themes involve transient flow analysis in pipelines with moving boundaries, cavitation effects in pumps, and structural responses under fluid-induced loads. His work bridges theoretical fluid dynamics with experimental validation, as seen in large-scale pipeline filling/emptying experiments. Collaborative efforts span international teams, addressing challenges in pipeline safety and computational efficiency. Publications highlight innovations in SPH for multiphase flows, hybrid numerical schemes for transient flows, and historical contributions to fluid mechanics. His research often emphasizes practical engineering applications, such as improving pump models and understanding wavefront behavior in fluid systems.

• Computational Fluid Dynamics
• Numerical Methods
• Multiphase Flow
• +3 more

Katarina Gustavsson is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Department of Numerical Analysis, Optimization and Systems. She serves as the Head of Studies (Huvudstudierektor) for the Department of Mathematics and teaches courses such as the Basic Course in Numerical Methods (SF1525) and Numerical Methods, Basic Course (SF1547). Her research focuses on computational fluid dynamics, multiphase flow, and boundary treatment techniques in numerical simulations. Her work includes developing numerical methods for rigid fiber suspensions, sedimentation analysis, and contact line dynamics. Key contributions involve high-accuracy boundary treatments for Stokes flow and conservative level set methods for interface dynamics. She has authored over 20 peer-reviewed articles and conference papers since 2000. Dr. Gustavsson’s research interests span fluid-structure interaction, fiber orientation dynamics, and the numerical modeling of complex multiphase systems. Her publications address challenges in Stokes flow simulations, sedimentation processes, and the consolidation of concentrated suspensions.

• Inorganic Chemistry
• DNA Microarray Synthesis
• Surface Chemistry
• +3 more

Etkin Parlar is a researcher in the Department of Inorganic Chemistry within the Faculty of Chemistry at an unspecified university. Holding a BSc and MSc, Parlar actively contributes to interdisciplinary research at the interface of inorganic chemistry, materials science, and molecular biology. Education: Bachelor of Science (BSc) Master of Science (MSc) Research Interests: Parlar's work centers on Inorganic Chemistry, with a focus on DNA microarray synthesis, surface chemistry, oxidation reactions, nanomaterials, and biosensors. Key investigations involve the use of indium tin oxide and gold substrates for DNA synthesis, aiming to improve oligonucleotide quality and develop novel data storage solutions through two-dimensional barcodes. The research also extends to biological systems, such as the role of bitter taste receptors in gastric acid secretion and zinc homeostasis. Publication Trends: The 2024-2025 publications reveal a trajectory toward innovative applications of DNA technology, including nonaqueous oxidation methods for microarray synthesis and parallel DNA synthesis for data storage. These works bridge chemistry, materials science, and biotechnology, with emphasis on substrate integrity (indium tin oxide/gold) and cross-disciplinary biological implications. Awards: No scientific awards were mentioned in the available information. Collaborations: Parlar engages in extensive cross-disciplinary teamwork, evidenced by co-authorship with experts in molecular biology, nutrition science, and analytical chemistry. The research likely operates within specialized laboratory facilities for surface modification and DNA analysis, though specific team structures remain unspecified.