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Vladimir FominView profile

Research Professor

• Topological Effects
• Superconductor Nanoarchitectures
• Quantum Rings
• +2 more

Vladimir Fomin is Research Professor at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden), leading research at the Institute for Integrative Nanoscience. His pioneering work explores topological phenomena in quantum rings, vortex dynamics in 3D superconductor nanoarchitectures, and nanoscale phonon transport. His distinguished career includes seminal contributions to condensed matter physics, evidenced by over 200 publications. Honors include the Kapitsa Medal (2000), Honorary Membership in the Academy of Sciences of Moldova (2007), and Outstanding Referee recognition from Physical Review journals (2023). Professor Fomin leads international collaborations on quantum materials and supervises doctoral candidates. His research encompasses: Topological transitions in curved superconductor nanostructures Quantum interference in mesoscopic systems Hybrid phonon-plasmon excitations Nanoscale thermal engineering

• Pulsatile Flow Dynamics
• Periodic Flow Dynamics
• Flow-Structure Interactions
• +4 more

Dr. Lian Gan is an Associate Professor in the Department of Engineering at Durham University. His research focuses on pulsatile and periodic flow dynamics, flow-structure interactions, and experimental/computational fluid mechanics. He holds a BEng (UK MEng equivalent) from the National University of Singapore and a PhD from the University of Cambridge. Dr. Gan’s work spans fluid dynamics applications in engineering and biomedicine, including vortex dynamics in cardiac flows and development of novel ventricular assist devices. He is a developer of advanced experimental techniques like Tomographic PIV and sparse track-enhanced volumetric measurements. His lab combines experimental and computational methods (e.g., LES) to study scalar mixing, momentum delivery, and fluid-structure interactions. Recent publications emphasize vortex ring formation, polygonal cylinder wakes, and biomedical device innovation. His research has led to collaborations with cardiologists and physicists. Dr. Gan supervises PhD students across fluid mechanics and bioengineering nodes, with annual applications opening in late October. Labs/Teams: Gan Lab - Pulsatile & Periodic Flow Dynamics

• Fluid Dynamics
• Partial Differential Equations
• Asymptotic Analysis
• +3 more

Juan Davila Bonczos is a Professor in the Department of Mathematical Sciences at the University of Bath, holding a Royal Society Wolfson Fellowship. His research focuses on fluid dynamics, partial differential equations, and asymptotic analysis, particularly in vortex dynamics and nonlinear phenomena. He collaborates internationally on projects involving Euler equations and their applications. He leads the Royal Society-funded Wolfson Fellowship project (2019–2026) exploring advanced mathematical modeling. His work bridges theoretical analysis and applied mathematics, with recent contributions to infinite-time blow-up phenomena and vortex ring interactions. Education: No explicit education details provided in text Research Interests: Fluid dynamics and vortex behavior in incompressible flows Asymptotic analysis of PDE solutions Nonlinear phenomena in mathematical physics Recent Research Trends: His articles emphasize vortex dynamics in 2D/3D Euler equations, stability of blow-up solutions in Keller-Segel systems, and asymptotic properties of traveling wave solutions. This reflects a focus on both theoretical rigor and applied fluid mechanics challenges. Awards: Royal Society Wolfson Fellowship (2019–2026) Grants & Advising: Co-Investigator for Royal Society Wolfson Fellowship project Supervised 1 student (details not provided) Labs/Teams: No specific lab affiliations mentioned; collaboration networks include global researchers in PDEs and fluid dynamics.

Yinlin DongView profile

Associate Professor

• Computational Mathematics
• Numerical Methods
• Differential Equations
• +3 more

Yinlin Dong is an Associate Professor in the Department of Mathematics at the University of Central Arkansas. His research focuses on computational mathematics and numerical methods, with expertise in solving differential equations using high-order numerical techniques, vortex visualization, and finite element methods. He holds a Ph.D. from the University of Texas at Arlington, an M.A. from the University of Alabama, and a B.S. from Nankai University. Dr. Dong's work addresses complex fluid dynamics problems, including vortex generation mechanisms, shock-vortex interactions, and adaptive grid generation. His recent studies explore Liutex-based vortex identification, turbulence modeling, and high-resolution numerical schemes for flow simulation. He has contributed to advancing methods like the weak Galerkin finite element approach and matrix-based high-order derivative schemes. His research trends emphasize interdisciplinary applications of computational mathematics in fluid mechanics, with a focus on improving accuracy in turbulent flow simulations and vortex structure analysis. Despite no listed awards or grants, his publications reflect sustained engagement with core challenges in numerical analysis and fluid dynamics modeling.

William SampsonView profile

Professor

• Materials Science
• Nanotechnology
• Polymer Science
• +3 more

William Sampson is a Professor of Materials Modelling at the University of Manchester's Department of Materials Engineering. He holds a BSc (Hons) and PhD in Paper Science from UMIST (now part of the University of Manchester). His research focuses on the structure and properties of heterogeneous materials, particularly fibrous systems like paper, composites, and electrospun polymers. Key areas include statistical geometry, probabilistic modeling of material assembly, and applications in tissue engineering, fuel cells, and magneto-rheological fluids. His work contributes to UN Sustainable Development Goals, emphasizing sustainable materials and resource efficiency. Sampson is a Fellow of the Institute of Materials, Minerals and Mining (FIMMM) and chairs professional committees like the Pulp and Paper Fundamental Research Symposium. He collaborates on projects such as the Centre for Robotics and Artificial Intelligence and RE3 (Rethinking Resources and Recycling), advancing interdisciplinary research. Recent research trends include nanocomposite mechanics, graphene-based materials, and macromolecular assembly. Sampson supervises over 14 postgraduate researchers, focusing on topics like interlaminar fracture toughness and biodegradable composites. His group, Polymers Composites and Carbon, explores cutting-edge materials for industrial and environmental applications.

Anton ErmakovView profile

Assistant Professor

• Planetary Geophysics
• Orbital Dynamics
• Spacecraft Data Analysis
• +3 more

Dr. Anton Ermakov is Assistant Professor of Aeronautics and Astronautics at Stanford University, with courtesy appointments in Geophysics and Earth and Planetary Sciences. He holds an Engineer Degree in Space Geodesy from Moscow State University of Geodesy and Cartography (2010) and a PhD in Planetary Sciences from MIT (2017). His postdoctoral work was conducted at JPL and UC Berkeley. His research integrates spacecraft data with geophysical modeling to investigate the internal structures of Solar System bodies. Key methodologies include gravity-topography analysis, radiometric tracking, and microwave radiometry. Major contributions include Dawn mission studies of Vesta and Ceres, establishing frameworks for ocean world exploration, and current participation in Juno's investigation of Jupiter's interior. Research trends demonstrated in publications focus on: Geophysical constraints on planetary differentiation and evolution Multi-instrument approaches to icy moon characterization Tidal interactions and interior dynamics modeling Radiation-based subsurface exploration techniques Honors include the naming of asteroid 10680 Ermakov in recognition of his work on Vesta and Ceres interior structures.

• Theoretical Physics
• Quantum Many-Body Systems
• Quantum Phase Transitions
• +5 more

Prof. Markus Heyl is a Professor of Theoretical Physics III at the University of Augsburg, affiliated with the Faculty of Mathematics, Natural Sciences, and Materials Engineering. Prior to this role, he held positions as a Leibniz Group Leader at the Max-Planck Institute for the Physics of Complex Systems and a postdoctoral fellow at institutions such as TU Munich and IQOQI Innsbruck. His research focuses on quantum many-body systems, dynamical quantum phase transitions, and the application of machine learning techniques to quantum physics. Heyl's academic journey includes a PhD from Ludwig-Maximilians-Universität München under Prof. Stefan Kehrein, followed by postdoctoral work exploring quantum dynamics, localization phenomena, and quantum simulation. He currently leads a vibrant research group comprising postdoctoral researchers and PhD students investigating topics like neural quantum states, adaptive quantum algorithms, and non-equilibrium quantum systems. Teaching responsibilities include courses on 'Machine Learning in Physics' and advanced seminars on quantum many-body theory. His recent workshops, such as 'Connecting Physics and Computer Science' (2024) and 'Bridging the Divide' (2023), reflect his interdisciplinary approach to advancing quantum research. Key research themes include dynamical criticality, Trotterization optimization for NISQ devices, and the interplay between quantum chaos and integrability. His work bridges theoretical insights with experimental validations, leveraging tools like neural networks and classical networks to model complex quantum systems.

• Superconductivity
• Condensed Matter Physics
• Quantum Materials
• +3 more

Dr. JESÚS MANUEL MOSQUEIRA REY is a University Professor in the Department of Particle Physics at the University of Santiago de Compostela, affiliated with the Faculty of Physics. He leads the QMatterPhotonics Quantum Materials and Photonics Group and is part of the Materials Institute (iMATUS) and the Strategic Grouping in Materials (AEMAT). He earned his doctorate from the University of Santiago de Compostela in 1997, focusing on thermal fluctuations and inhomogeneities in high-Tc superconductors under Professors Felix Vidal Costa and Carolina Torrón Casal. His research focuses on superconductivity, particularly in iron-based superconductors, high-temperature superconductors, and material doping effects. Key areas include superconducting fluctuations, magnetic properties, and quantum materials. His work bridges experimental and theoretical studies of material behavior under varying conditions. Notable contributions include studies on critical current enhancement in Fe-based superconductors (2024), fluctuation dynamics in cuprates (2023), and graphene-doped YBCO superconductors (2022). These publications highlight advanced material characterization techniques and insights into superconductivity mechanisms. Collaborations span international teams, with a focus on quantum materials and photonics applications. His group explores applications in theragnostics (2023) and novel material synthesis (e.g., microfluidic hydroxyapatite). No awards are explicitly listed, but his prolific output underscores sustained academic impact.

• Magnetic Imaging
• Electron Microscopy
• Magnetic Force Microscopy
• +3 more

Stephen McVitie is a Professor in the School of Physics and Astronomy at the University of Glasgow. His research focuses on advanced magnetic imaging techniques, including electron microscopy and magnetic force microscopy, with specializations in micromagnetic characterization of thin films and nanoscale magnetic structures. He leads investigations into skyrmion dynamics, domain wall behavior, and 3D magnetization reconstruction. McVitie's work bridges fundamental condensed matter physics and applied nanotechnology, emphasizing the development of novel imaging methodologies. Key research themes include topological spin textures, chiral magnetic interactions, phase transitions in synthetic antiferromagnets, and quantitative Lorentz microscopy. His group frequently collaborates with international partners on materials synthesis and advanced characterization. Recent publications demonstrate a strong focus on skyrmion-based systems (2021-2025), with innovations in electron holography, vector field tomography, and differential phase contrast TEM. This reflects sustained progress in understanding topological magnetic states for next-generation spintronic applications. No awards or supervised students are explicitly mentioned in the provided text.

• Quantum Graphs
• Fluid Dynamics
• Nonlinear Waves
• +5 more

Roy Goodman is a Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT). His research focuses on nonlinear dynamics, quantum graphs, fluid dynamics, and Bose-Einstein condensates. He has been Principal Investigator (PI) or Co-PI on multiple National Science Foundation grants, including active projects on vortex dynamics and symbolic computation. His work spans theoretical and computational approaches to problems in applied mathematics, with notable contributions to vortex interactions, quantum graph simulations, and nonlinear wave phenomena. Goodman has published extensively in journals like SIAM Journal on Scientific Computing and Physics of Fluids, and his research has been cited over 961 times. Recent projects include developing the QGLAB MATLAB package for quantum graph computations and studying scattering dynamics in vortex systems. He has advised multiple federal grants and contributes to computational mathematics education at NJIT. Key collaborations include work on symbolic computation (SYMCAR project) and computational mathematics training for undergraduates. His research often bridges mathematical theory with applications in physics and engineering.

James PetersView profile

Professor

• Computational Topology
• Computer Vision
• Machine Learning
• +1 more

James Peters is Professor in Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research explores computational proximity, digital topology, and computer vision, developing frameworks for signal analysis and shape detection. Key innovations include near set theory for perceptual similarity, optical vortex nerve analysis, and quaternion-based fMRI interpretation. He leads the Computational Intelligence Laboratory, focusing on topological data analysis for video tracking, neuroimaging, and pattern recognition. His 700+ publications span proximal Voronoï tessellations, fuzzy topology, and geometric realizations of cell complexes. Collaborations extend to Turkey, Italy, and India through visiting professorships.

Richard M. McLaughlinView profile

Professor

• Fluid Dynamics
• Stratified Flows
• Turbulence
• +3 more

Richard M. McLaughlin is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill, where he served as Mathematics Chair from 2013 to 2023. His academic career spans positions at the University of Utah and NSF postdoctoral work following his PhD training. His educational background includes a PhD in Applied Mathematics from Princeton University (1989-1994) and a BS in Mathematics from the University of Arizona (1986-1989). Early education was completed at Amphitheater High School and various elementary/junior high institutions in Arizona. McLaughlin's research centers on fluid dynamics with emphasis on stratified flows, turbulence, and passive scalar transport. His work bridges theoretical mathematics with experimental validation, particularly in geophysical and environmental contexts. Key themes include symmetry breaking in pipe flows, vortex dynamics in stratified media, and boundary effects on chemical transport in microfluidic systems. The research demonstrates strong interdisciplinary connections between mathematical theory, laboratory experiments, and real-world applications in oceanography and environmental science. His publication trends reveal consistent focus on stratification phenomena across multiple scales - from microfluidic systems to oceanic processes. Recent work increasingly integrates experimental validation with rigorous mathematical analysis, particularly in particle transport through sharp density interfaces and asymmetric concentration distributions in bounded flows. Milton van Dyke APS DFD Gallery of Fluid Motion (2015) for work on dense vortex rings in stratification McLaughlin leads the UNC Fluids Lab, which conducts experimental and theoretical research on stratified fluid phenomena. His work includes field campaigns such as the Himalayan Goyko Lake study examining extreme depth fluctuations. The lab utilizes both computational modeling and hands-on experiments, including APS-featured videos on falling spheres and fractal fingering. Current research directions involve marine snow settling dynamics, porous particle transport, and enzymatic activity enhancement at stratified layers.

• Electron Microscopy
• Electron Holography
• Nanomaterials Characterization
• +5 more

Marco Beleggia is a Full Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia. His work focuses on advanced electron microscopy techniques, particularly electron holography and phase plate applications for nanoscale materials characterization. He is affiliated with the former Physics campus in Modena, where he maintains his laboratory and office in Physics Building 17. Professor Beleggia's research spans multiple areas including electron microscopy of magnetic materials, semiconductor device characterization, nanomaterials analysis, and electron beam lithography. His work combines theoretical modeling with experimental approaches to study phenomena at the nanoscale. He has made significant contributions to understanding electron-specimen interactions, particularly in relation to charging effects, phase contrast imaging, and in situ characterization of materials. His recent publications demonstrate a strong focus on advancing electron holography techniques for studying magnetic nanoparticles, semiconductor devices, and liquid environments. The research shows a clear progression toward more complex in situ characterization methods that allow real-time observation of dynamic processes at the nanoscale. His work bridges fundamental physics with practical applications in materials science and nanotechnology. Professor Beleggia teaches undergraduate and graduate courses including Physics A for Mathematics students and the specialized Laboratory of Electron Microscopy and Holography for Physics Master's students. His teaching emphasizes both theoretical foundations and hands-on experimental techniques in advanced microscopy. His laboratory work involves sophisticated electron microscopy setups for characterizing magnetic properties, semiconductor junctions, and nanoscale materials. The research group appears to collaborate extensively with international partners, as evidenced by the multinational authorship on many publications. Current projects include developing new methodologies for electron holography in gaseous and liquid environments, studying magnetic nanoparticle assemblies, and advancing electron beam patterning techniques.

Andreas PapoutsakisView profile

Researcher

• Fluid Mechanics
• Mechanical Engineering
• Multi-scale Modelling
• +4 more

Andreas Papoutsakis is a researcher at the University of Hertfordshire , affiliated with the School of Physics, Engineering & Computer Science and the Department of Engineering and Technology. His work spans fluid mechanics, dispersed flows, and multiphase modeling with applications in medical and aerospace engineering. Education: Post Graduate Certificate in Academic Practice, City, University of London Ph.D. in Fluid Mechanics, Imperial College London Degree in Aeronautics and Mechanical Engineering Research Interests include multi-scale modeling, bubble collapse dynamics, real gas effects, and vortex ring interactions. His projects focus on shock-wave lithotripsy, photothermal vaporization systems, and dispersed flow structures. Recent Publications highlight advancements in shock-induced fluid dynamics, caustic formations in exhaled droplets, and photothermal membrane technologies. Keywords include Fluid Mechanics , Medical Engineering , and Computational Modeling . Scientific Awards: Fellow of the Higher Education Academy (FHEA), 2022 Projects: Novel Carbon-based Membrane for Enhanced Interfacial Photothermal Vaporization (Co-Investigator, 2023–2026)

• Laser Technology
• Nonlinear Optics
• Biophotonics
• +7 more

Professor Michael Damzen is a Professor of Experimental Laser Physics at Imperial College London, affiliated with the Faculty of Natural Sciences. He leads the Nonlinear Optics Group and previously headed the Photonics Group (2013–2023). His research focuses on high-power laser architectures, tunable diode-pumped systems, and applications in remote sensing, biophotonics, and quantum engineering. Education: PhD in Laser Physics (Imperial College London, 1983), BSc (Hons) in Physics (Imperial College London, 1980). Research Interests: Laser Technology: High-power Alexandrite lasers, wavelength tuning, UV generation, and Q-switching. Nonlinear Optics: Mode transformation, vortex lasers, and interferometric techniques. Applications: Space-based lidar for vegetation/atmosphere sensing, industrial photonics, and biomedical imaging. Key Projects: Developed ESA-supported tunable-wavelength lasers for remote sensing and founded Midaz Lasers Ltd, a laser technology company acquired by a global leader in 2006. His work includes breakthroughs in diode-pumped Alexandrite lasers and compact, low-cost laser systems. Affiliations: Agri Futures Lab, Network of Excellence in Air Quality, Photonics Group, Quantum Engineering, and Space Lab at Imperial College.