جست‌وجوی استاد و پژوهشگر

Gordon Taylorمشاهده پروفایل

استاد

• Microbial oceanography
• Microbial ecology
• Planktonic food webs
• +۵ مورد دیگر

Gordon Taylor is a Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS), serving as Division Head for Marine Sciences. He leads the NSF-funded NAno-Raman Molecular Imaging Laboratory (NARMIL), pioneering applications of Raman microspectroscopy and Atomic Force Microscopy to marine microbiology. PhD (1983) - University of Southern California His research focuses on: Microbial mediation of biogeochemical carbon cycling Planktonic food web interactions in oxic/anoxic boundaries Microplastic contamination and degradation processes Chemoautotrophy in oxygen-deficient systems NARMIL's innovations enable: 3D biomolecular mapping of marine specimens Single-cell growth rate measurements Microplastic identification/quantification Stable isotope tracing in microbial communities His work extends to: CARIACO Ocean Time Series Program (1995-2017) Understanding ocean deoxygenation impacts Developing open-access microbiology tools (MicrobioRaman repository)

Bastian von Harrach-Sammetمشاهده پروفایل

استاد

• Inverse Problems
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Prof. Dr. Bastian von Harrach-Sammet is a W3 Professor for Numerics of Partial Differential Equations at Goethe University Frankfurt, where he has served as Dean of the Department of Computer Science and Mathematics since January 2024. He studied mathematics and physics at the University of Mainz as a scholarship holder of the German National Academic Foundation, earned his doctorate in 2006, and held postdoctoral positions at the Johann Radon Institute (Austria) and Yonsei University (South Korea). His academic trajectory includes professorships at TU Munich (2010–2011), University of Würzburg (2011–2013), and University of Stuttgart (2013–2015) before joining Goethe University. His research focuses on inverse problems , numerical analysis of PDEs , and optimization , with applications in medical imaging (e.g., electrical impedance tomography) and computational mechanics. Key themes include monotonicity-based reconstruction, convex optimization for inverse coefficient problems, and stability analysis. Publications emphasize theoretical rigor in inverse problems, featuring advances in Calderón-type problems, fractional Schrödinger equations, and stochastic inclusion detection. Recent work (2023–2025) explores convex reformulations of inverse problems and computational methods for elasticity/tomography. Awards & Honors: Robert Bartnik Visiting Fellowship (2017) MediaV Young Researcher Award (2016) Dissertationspreis der Freunde der Universität Mainz e.V. (2007) General Membership, Institute for Mathematics and Its Applications (2006) He is a liaison lecturer for the German Academic Scholarship Foundation, co-editor of journals ( Inverse Problems , Communications on Analysis and Computation ), and co-founder/treasurer of the Inverse Problems International Association. No specific grants, labs, or student advisees are detailed in the source text.

• Plasmonics
• Electron Energy Loss Spectroscopy
• Ultra-fast Electron Optics
• +۴ مورد دیگر

Dr. Johannes Schultz is a PostDoc researcher at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden), affiliated with the Institute for Integrative Nanosciences. He leads the Advanced Methods of Electron Microscopy Group, focusing on cutting-edge electron microscopy techniques and plasmonics research. His scientific focus spans magnetic textures and dynamics at micro-to-nano scales , development of ultra-fast electron optical elements with sub-nanosecond response times, Electron Energy Loss Spectroscopy in TEM (particularly low-loss excitations), and plasmonics in nanoparticle assemblies and correlated materials. His work bridges fundamental physics with nanotechnology applications. Dr. Schultz has published 16 journal papers since 2018 in high-impact venues including Nature Communications , Physical Review Research , and Advanced Optical Materials , with significant contributions to understanding plasmon localization, electron optics, and nanomaterial characterization. His research demonstrates consistent technical innovation in electron microscopy methodologies. As an active contributor to the microscopy community, he has delivered 8 invited talks at major international conferences including the European Microscopy Society Congress and PICO 2024. His collaborations span multiple institutions including Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, and international partners in Belgium, France, and Austria. The Advanced Methods of Electron Microscopy Group develops specialized techniques for nanoscale characterization, with particular expertise in spectral field mapping, plasmon dynamics analysis, and computational modeling of electron-matter interactions. Current work emphasizes disordered plasmonic systems and ultrafast electron optical components.

• Computational mathematics
• Geometric integration
• Lie theory
• +۶ مورد دیگر

Hans Munthe-Kaas is a Professor of Mathematics at the University of Bergen, where he is also the Center Manager of the Lie-Størmer Center. He serves as Editor-in-Chief of Foundations of Computational Mathematics and President of the Norwegian Mathematical Society. Additionally, he is a member of the scientific advisory committee for the Trond Mohn Foundation and project leader for the RCN-Fripro project CODYSMA. His research focuses on computational mathematics, particularly geometric integration, Lie theory, differential geometry, algebra and combinatorics. Munthe-Kaas investigates algebras of connections on manifolds, combinatorics for formal solutions of dynamical systems, and structure-preserving discretizations. His work bridges pure and applied mathematics with computer science, with an emphasis on mathematical abstractions in computational science as tools for constructing efficient algorithms. Analysis of numerical Lie group integrators has led him to develop Lie-Butcher theory, which combines classical B-series for integration schemes with Lie series. This research connects to control theory, stochastic differential equations, renormalization, combinatorial Hopf algebra theory, and non-commutative symmetric functions. His publications show a consistent focus on geometric integration methods, with recent work exploring post-Lie algebras, aromatic B-series, and integration on symmetric spaces. Esso prize in 1999 for PhD work Munthe-Kaas has led significant research projects including the Lie-Størmer Center and CODYSMA. His work in computational mathematics has applications in numerical linear algebra, parallel algorithms, and fast elliptic solvers. He has also contributed to multivariate Chebyshev polynomials for spectral element methods based on triangular and simplicial domains. He is active in research groups including Applied and Computational Algebra and has been instrumental in developing coordinate-free formulations for numerical algorithm design through projects like SOPHUS. His DiffMan Matlab toolbox implements these ideas for solving differential equations on manifolds.

• Applied Mathematics
• Theoretical Mechanics
• Computational Mechanics
• +۷ مورد دیگر

Dr. Luis Espath is an Assistant Professor of Applied Mathematics at the University of Nottingham, affiliated with the School of Mathematical Sciences. His research spans theoretical and computational mechanics, uncertainty quantification, and machine learning. He has held postdoctoral and research scientist roles at KAUST and RWTH Aachen, respectively, and authored the Springer Nature book Mechanics & Geometry of Enriched Continua . Education : Engineering Diploma (2007) at PUCRS, Brazil; Master’s and Ph.D. (2013) at UFRGS, Brazil; Habilitation in Mathematics (2021) at RWTH Aachen, Germany. Dr. Espath’s research focuses on the application of phase-field and continuum mechanics to model complex systems, with an emphasis on thermodynamic consistency and computational efficiency. He integrates stochastic optimization and machine learning into fluid dynamics and structural modeling. His recent publications highlight expertise in phase-field gradient theory, fluid-structure interaction, and Bayesian experimental design. The 2021 articles reflect his work on Navier-Stokes equations, reactive Cahn-Hilliard systems, and divergence-free fluid flow approximations.

Alden Adolphمشاهده پروفایل

استادیار

• Snow Physics
• Cryosphere Dynamics
• Climate Change
• +۳ مورد دیگر

Alden Adolph is an Assistant Professor in both the Engineering Fundamentals and Mechanical and Aerospace Engineering departments at Michigan Technological University . He holds a PhD, BE, and AB in Engineering Sciences from Dartmouth College, with a research focus on cryospheric processes and climate impacts. PhD, Engineering Sciences, Dartmouth College BE, Engineering Sciences, Dartmouth College AB, Engineering Sciences, Dartmouth College His research explores snow and ice physics , climate change feedback mechanisms , and remote sensing applications in cryosphere monitoring. Key areas include snow hydrology, albedo dynamics, and snowpack stability modeling. The 15 most recent publications highlight trends in computational snow modeling , climate-snow interactions , and remote sensing innovations . Topics span microstructural analysis, black carbon effects, and coupled atmospheric-snow simulations, emphasizing climate sensitivity and hazard prediction. His work bridges fundamental snow physics with applied engineering solutions for environmental monitoring and climate adaptation.

Per-Olof Perssonمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Fluid Dynamics
• Numerical Analysis
• +۳ مورد دیگر

Per-Olof Persson is a Professor in the Department of Mathematics at the University of California, Berkeley . He is also a Senior Scientist at the Lawrence Berkeley National Laboratory , where he contributes to applied mathematics and computational physics research. Research Interests: Applied Mathematics Numerical Methods Computational Fluid and Solid Mechanics Discontinuous Galerkin Methods High-Order Discretizations Mesh Generation Recent Publications (2023-2025) demonstrate expertise in geometric multigrid, shock capturing, solution transfer between curved meshes, and optimization techniques. Key trends include advancements in high-order accuracy for fluid dynamics, implicit-explicit time-stepping, and interdisciplinary applications in aerospace and biomedical engineering. Advising: Supervised multiple PhD and Master’s students in topics spanning shock tracking, fluid-structure interaction, and computational solvers. Collaborates with institutions like MIT, KTH Royal Institute of Technology, and Lawrence Berkeley National Lab.

Jon Wilkeningمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Methods
• Partial Differential Equations
• +۸ مورد دیگر

Jon Wilkening is a Professor in the Department of Mathematics at the University of California, Berkeley, with affiliations to Lawrence Berkeley National Laboratory (LBNL). He specializes in applied mathematics and numerical analysis, focusing on partial differential equations, water waves, and computational methods. Education: Not explicitly stated in provided texts Appointed in 2005 Collaborations: LBNL Research interests include: Water waves (3D standing waves, vortex sheets, mode-locked lasers) Boundary value problems with adjoint methods and shape optimization Dirichlet-to-Neumann operators in solid/fluid mechanics Numerical optimization, optimal transportation, and spectral deferred correction Least squares finite elements and interface problems in elasticity Perturbation methods and lubrication theory Publication trends show strong focus on computational fluid dynamics (water waves, vortex sheets), numerical methods (spectral, multigrid), and mathematical modeling of physical systems. His work spans partial differential equations, fluid mechanics, and applied optimization. Awards : NSF CAREER Award (2010-2015) Frederick A. Howes Scholar (2003) DOE Computational Science Fellowship (1997-2001) Flinn Foundation Scholarship (1992-1996) Teaching history includes courses like Math 156 (Numerical Analysis), Math 228B (Differential Equations), Math 118 (Fourier Analysis), and others from 2005-2025.

• Wave Energy Converters
• Marine Technology
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Claes Eskilsson is a researcher at Chalmers University of Technology , specifically in the Department of Mechanics and Maritime Sciences under the Marine Technology division. His work focuses on computational fluid dynamics (CFD) , wave energy converters , and mooring system dynamics for marine applications. Research Projects: MIDWEST: Multi-fidelity decision tools for wave energy systems (2015-2018) Assessment of tidal turbine noise pollution (2015-2016) Including nonlinear/viscous effects in wave energy modeling (2015-2017) Forankringslösninger for wave energy devices (2015-2017) SDWED: Structural design of wave energy devices (2013-2014) His research interests include: Computational modeling of marine systems Wave energy converter hydrodynamics High-order numerical methods (spectral/hp elements, Discontinuous Galerkin) Cavitation and erosion analysis in marine flows Multiphysics modeling of floating structures The publications span topics in wave energy converter dynamics, mooring system analysis, and CFD methodology. Key trends include 2013-2015 developments in spectral/hp element methods for coastal engineering, and 2015-2020 advancements in multi-fidelity modeling of ocean energy systems. He has collaborated extensively with institutions such as Royal Institute of Technology (KTH) , Lund University , and Technical University of Denmark (DTU) , with funding from agencies including the Swedish Energy Agency and Danish Energy Agency .

• Mathematical Modeling
• Numerical Methods
• Mass Transport in Soft Porous Materials
• +۴ مورد دیگر

Tobias Gebäck is an Associate Professor at Chalmers University of Technology's Applied Mathematics and Statistics department, affiliated with the SuMo Biomaterials research center. His work focuses on mathematical modeling and numerical methods for mass transport in soft porous materials , with applications in drug delivery systems and absorbent product development . He also investigates charged particle transport mechanisms relevant to cancer radiation therapy . Key research areas: mathematical modeling, numerical methods, transport in porous media, radiation therapy applications Active collaborations: SuMo Biomaterials research center Recent publications emphasize stochastic modeling of 3D structures , Lattice Boltzmann simulations for transport phenomena in complex materials, and multi-scale diffusion analysis of bio-based systems. This work connects fundamental mathematics with industrial applications in pharmaceutical and consumer product development.

Michael Karowمشاهده پروفایل

پژوهشگر

• Numerical Linear Algebra
• Control Theory
• Matrix Analysis
• +۶ مورد دیگر

Michael Karow is a Researcher at the Institute of Mathematics , Technical University of Berlin , affiliated with the Faculty II - Mathematics and Natural Sciences . His research focuses on Numerical Linear Algebra , Control Theory , and Matrix Perturbation , with specific interests in Pseudospectra , Stability Radii , and Structured Eigenvalue Problems . Educational background includes a Ph.D. (2003) from the University of Bremen, titled " Geometry of Spectral Value Sets ," and a Habilitation (2009) at TU Berlin. His work spans collaborations with institutions like IIT Guwahati, EPFL Lausanne, and SUNY Utica. His research involves stabilizing discrete-time linear systems via matrix factorizations, structured matrix pencils with no spillover effects, and backward error analysis for palindromic polynomials. Publications highlight applications in finite element model updating , eigenvalue sensitivity , and geometric matrix theory . Teaching includes courses like Numerical Mathematics 1 for Engineering , Differential Equations and Numerics , and Calculus of Variations . He has led workshops in India, Italy, and the U.S., focusing on numerical methods and control theory.

Uwe Bovensiepenمشاهده پروفایل

استاد

• Ultrafast Phenomena
• Condensed Matter Physics
• Electron Dynamics
• +۵ مورد دیگر

Prof. Dr. Uwe Bovensiepen is a Professor at the University of Duisburg-Essen's Faculty of Physics, where he leads the research group on Ultrafast Phenomena in Solids and at Interfaces . His research investigates microscopic interaction mechanisms between charge, lattice, and spin degrees of freedom in condensed matter, with emphasis on energy transfer and transport in nanostructures. Key areas include femtosecond electron dynamics, magnetization processes, and laser-driven phenomena, often studied using advanced techniques like time-resolved photoelectron spectroscopy and X-ray absorption. Research interests span ultrafast dynamics in correlated materials, heterostructures, and surfaces, with focus on: Femtosecond spin currents and magnetization dynamics Element-specific analysis via ultrafast X-ray spectroscopy Hot electron relaxation in metallic nanostructures Laser-induced phase transitions and solvation dynamics His recent publications demonstrate strong trends in ultrafast spectroscopy of quantum materials (e.g., NiO, FePt, TaS 2 ), development of table-top X-ray sources, and spatiotemporal electron transport. Work frequently involves collaborations with facilities like the European XFEL and employs methods ranging from MeV electron diffraction to nonlinear magneto-optics. Prof. Bovensiepen advises a large cohort of doctoral and master's students, with current projects funded by the German Research Foundation (DFG) through collaborative initiatives like SPP 1840 Quantum Dynamics in Tailored Intense Fields and CRC 1242 Non-Equilibrium Dynamics of Condensed Matter . Laboratories under his supervision include dedicated setups for time-resolved photoelectron spectroscopy, high-power laser systems, and ultrafast electron diffraction.

• Automating Design and Diagnosis of Information Systems
• Computer Graphics
• Web Technologies

Konstantin Nikolaevich Kasyan serves as Associate Professor at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies at Zaporizhzhia National Technical University, where he has maintained academic activity since 1998. He graduated with honors from Zaporizhzhia Machine-Building Institute's Faculty of Electronic Engineering in 1993, specializing in Radio Engineering with qualification as Radio Engineer. His Candidate of Sciences degree (defended 1998/1999) established his expertise in diagnostic methodologies for electronic systems. His research spans three core domains: automating design and diagnosis of information systems, computer graphics methodologies, and web technologies. This interdisciplinary focus manifests in practical applications ranging from hardware diagnostics to smart home systems. His work demonstrates consistent evolution from foundational electronics reliability research in the 1990s toward contemporary IoT and computer vision applications. His publication trajectory reveals distinct chronological phases: 1990s-2000s concentrated on electro-radio diagnostics and reliability engineering; 2000s-2010s expanded into computer graphics and text recognition; while 2010s-2021 shifted toward IoT integration, smart home technologies, and machine learning applications. This progression reflects both technological advancements and his adaptability across computing subfields. Kasyan teaches modern Internet technologies, computer graphics, computer systems design, and computational methods in scientific research, directly translating his research into pedagogical practice. His academic presence is maintained through Scopus, Web of Science, Google Scholar, and ORCID profiles, indicating active scholarly engagement despite the absence of formal awards or documented grants in available records.

• Physics Applied to Cultural Heritage
• Optics
• Colorimetry
• +۶ مورد دیگر

Giovanni Buccolieri serves as a University Researcher at the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento. He maintains a dual teaching appointment, delivering courses for both the Department of Mathematics and Physics and the Department of Cultural Heritage, demonstrating his interdisciplinary expertise bridging physics and cultural preservation. His primary research interests focus on Physics Applied to Cultural Heritage , with specialized expertise in Optics , Colorimetry , X-ray Analysis , and Infrared Reflectography . His work centers on developing and applying physical methodologies for the diagnostics, analysis, and conservation of cultural artifacts. His research integrates theoretical physics with practical conservation needs, creating bridges between scientific analysis and heritage preservation. Analysis of his recent publications reveals a consistent focus on developing non-invasive diagnostic techniques for cultural heritage objects. His work spans from fundamental optical principles to practical applications in museum settings, with particular emphasis on color analysis, radiation-based techniques, and geometric optics applications. His research demonstrates a strong commitment to creating scientifically rigorous yet practically applicable methods for conservators and heritage professionals. Buccolieri actively contributes to academic training through his teaching roles in both the Cultural Heritage and Optics and Optometry degree programs. His courses include Fundamentals of Physics Applied to Cultural Heritage , Geometric Optics with Laboratory , and Visual Optics , reflecting his dual expertise in both cultural heritage applications and optical science.

Margaret Mars Brisbinمشاهده پروفایل

استادیار

• Marine Microbiology
• Phytoplankton Ecology
• Microbial Symbioses
• +۷ مورد دیگر

Margaret Mars Brisbin is an Assistant Professor in the Biological Oceanography department at the University of South Florida College of Marine Science . As Principal Investigator of the MICO Lab , she specializes in marine microbial interactions, phytoplankton community dynamics, and harmful algal blooms (HABs) in coastal and open ocean systems. Her research integrates high-throughput RNA/DNA sequencing with advanced imaging techniques to investigate how microbial symbioses influence large-scale ecosystem processes like primary production and carbon sequestration. Ph.D. from Okinawa Institute of Science and Technology (Japan) Office: 727.553.1106 | Email: mmarsbrisbin@usf.edu Research Focus : The MICO Lab studies mechanisms of microbial interactions in aquatic systems, host-symbiont recognition in phytoplankton, resource mediation in symbiotic relationships, and evolutionary resilience of microbial communities. Key systems include: Acantharia-Phaeocystis endosymbioses Phaeocystis colony-microbiome interactions Bacterial interactions with Pyrodinium bahamense (HAB-forming dinoflagellate) Using meta'omics, microscopy, and environmental sampling, Dr. Brisbin's team investigates how climate change and extreme events (hurricanes, heatwaves) alter microbial community dynamics and ecosystem feedback mechanisms. Their work addresses critical questions about carbon fixation, nutrient cycling, and microbial relationship stability under environmental stress. Lab & Outreach Activities : The MICO Lab actively engages in community education through initiatives like: St. Pete Science Festival exhibits with live plankton imaging USF CMS Art & Science Exhibit with plankton block prints Oceanography Camp for Girls mentorship Virtual science sessions with elementary school students