جست‌وجوی استاد و پژوهشگر

Leon Escobarمشاهده پروفایل

پژوهشگر

• Mathematical Relativity
• Numerical Relativity
• Mathematical Cosmology
• +۲ مورد دیگر

Dr. Leon Escobar is a researcher in the Department of Mathematics at the University of Tübingen’s Mathematical and Natural Sciences Faculty. His work spans mathematical relativity, numerical relativity, and cosmology, focusing on analytical and numerical studies of spacetimes with unique spatial topologies. University: University of Tübingen Department: Department of Mathematics Email: escobar@math.uni-tuebingen.de Research Interests: Mathematical Relativity Numerical Relativity Mathematical Cosmology Geometric Flows Numerical Spectral Methods His research includes studies of inhomogeneous cosmological models, the Bartnik quasi-local mass conjecture, and novel numerical approaches for solving Einstein’s equations using spectral methods. He has developed Python modules for spin-weighted spherical harmonics, contributing open-source tools under GPL. PhD Thesis: Studies of spacetimes with spatial topologies S³ and S¹ × S² (University of Otago, 2016).

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
• +۷ مورد دیگر

Vicente Fco Candela Pomares is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. His academic career has been centered on numerical analysis and computational mathematics, with a focus on iterative methods for nonlinear equations and multiresolution techniques. His research interests lie primarily in Numerical Analysis , especially iterative root-finding methods such as Halley, Chebyshev, and Steffensen-type algorithms. He has contributed significantly to the convergence analysis of these methods, particularly in Banach spaces and for ill-conditioned problems. His work extends to multiresolution analysis , wavelets , and image restoration , where he applies fractional regularization and nonlinear approximation frameworks. The trends in his recent publications show a sustained focus on derivative-free iterative methods , convergence theory , and applications in image processing . His work often bridges theoretical numerical analysis with practical computational challenges. He earned his PhD from the University of Valencia in 1988 under the supervision of Dr. Antonio Marquina Vila, with a thesis on a priori error estimators for iterative methods. He has collaborated extensively with researchers including Sergio Amat, Sonia Busquier, and Rosa Peris. Notable co-authors include Pantaleón D. Romero and Francesc Aràndiga. His publications appear in high-quality journals such as Journal of Computational and Applied Mathematics , Applied Mathematics and Computation , and SIAM journals. He is actively affiliated with the University of Valencia, as evidenced by his institutional email and ongoing publications. There is no indication of part-time status, retirement, or awards in the available data.

• Applied Mathematics
• Numerical Relativity
• Computational Astrophysics
• +۶ مورد دیگر

Isabel Cordero Carrión is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València. She is affiliated with two research groups: CompAC (Computational Astrophysics and Cosmology Group) and ANIMS (Numerical Analysis, Images, Multiresolution and Simulation). Institution: Universitat de València School: Faculty of Mathematics Department: Department of Mathematics Research Groups: CompAC, ANIMS Her research focuses on applied mathematics, particularly in numerical relativity and computational astrophysics. She works on the numerical evolution of Einstein's equations, relativistic hydrodynamics, and the development of stable and accurate numerical schemes for general relativistic systems. Her work bridges differential geometry, partial differential equations, and high-performance computing. The recent articles show a consistent trend in advancing numerical methods for general relativity, including formulations of the Einstein and hydrodynamic equations, implicit time integration, and spherical coordinate implementations. Her work emphasizes stability, constraint preservation, and computational efficiency in simulating relativistic systems. No scientific awards are listed in the provided text. She completed her Ph.D. in 2009 at the Universitat de València under the supervision of Dr. José María Ibáñez. While no formal students are listed, her collaborative work includes co-authorship with researchers such as Pablo Cerdá-Durán, Miguel-Ángel Aloy, and Jérôme Novak. She has not received any mentioned grants in the text. She is a member of the CompAC and ANIMS research groups, which focus on computational astrophysics, numerical analysis, and simulation of physical systems using advanced mathematical methods.

Marta Straniمشاهده پروفایل

دانشیار

• Mathematical Analysis
• Partial Differential Equations
• Hyperbolic Instabilities
• +۳ مورد دیگر

Marta Strani is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Molecular Sciences and Nanosystems. Her research focuses on partial differential equations, hyperbolic instabilities, and asymptotic dynamics. She holds a PhD in Mathematics from Sapienza University of Rome (2012) and has held positions at institutions including Sapienza University, University of Milan Bicocca, and University Paris Diderot. Her work includes studies on metastable dynamics, dispersive regularization, and stability analysis in reaction-diffusion systems. Her teaching roles include courses in Mathematical Analysis for engineering and environmental programs. Awards include the Premio Giovani Talenti (2017) and departmental awards for academic excellence. Strani leads and participates in research projects on PDE stability and spectral analysis, funded by institutions like Ca' Foscari and INdAM. Her research spans collaborations in Europe and the U.S., with a focus on theoretical and applied aspects of nonlinear dynamics. Education: PhD in Mathematics (2012), Sapienza University of Rome Research Funding: Progetti di Ateneo (2021-2023), INdAM grants (2013-2017) Awards: 2017 Giovani Talenti Prize, Sapienza Excellence Awards (2004/2005)

In Young Minمشاهده پروفایل

مدرس

• International Relations
• Security Studies
• East Asian Politics
• +۳ مورد دیگر

In Young Min is a Lecturer in Korean studies at the Centre for East Asian Studies, Heidelberg University. He holds a B.A. and M.A. in Political Science from Yonsei University (South Korea), and a Ph.D. in Political Science and International Relations from the University of Southern California. His research focuses on international relations and security in East Asia, particularly the dynamics of power asymmetry and smaller states' agency in shaping these dynamics, with a regional focus on Korea. Recent work examines historical and contemporary issues surrounding the Korean Peninsula, including nuclear policy and unification treaties. His interdisciplinary contributions span political theory and historical analysis. Education History: B.A. and M.A. in Political Science, Yonsei University, South Korea Ph.D. in Political Science and International Relations, University of Southern California Research Interests: Power asymmetry dynamics in international relations Ontological security and identity in hierarchical systems Korean Peninsula security and unification South Korea's nuclear policy and non-proliferation challenges Publications Trends: His work bridges historical and contemporary analyses, with contributions to journals like the International Relations of the Asia-Pacific and Journal of Asian Security and International Affairs . Earlier technical articles in mathematics and computational methods reflect interdisciplinary engagement, though recent focus is on political science and international relations.

Daniel Thompsonمشاهده پروفایل

استاد

• Ergodic Theory
• Dynamical Systems
• Symbolic Dynamics
• +۳ مورد دیگر

Prof. Daniel Thompson is a Professor in the Department of Mathematics at The Ohio State University, where he has served since 2012. He holds a PhD from the University of Warwick (2009) and previously worked as a Chowla Research Assistant Professor at Penn State. His research focuses on ergodic theory and dynamical systems, particularly entropy theory and its connections to geometry. Thompson is a core member of OSU's Ergodic Theory group and currently leads the NSF-funded project 'Advances in Ergodic Geometry' (2024–2027). Education: PhD in Mathematics (2009, University of Warwick) Roles: Editor of Ergodic Theory and Dynamical Systems , Ohio State Senate member (2021–present), NSF grant PI His research interests include symbolic dynamics, thermodynamic formalism, and applications to geometric problems. Notable contributions involve equilibrium states in non-positive curvature and Gibbs measures for CAT(-1) spaces. Thompson teaches advanced courses such as Ergodic Theory II and Real Analysis, and advises PhD students in dynamical systems. Grants funded include NSF CAREER Award (2015–2021) and multiple NSF standard grants. He has organized major conferences like the Midwest Dynamical Systems Conference and workshops on thermodynamic formalism. Publications focus on equilibrium states, geodesic flows, and symbolic dynamics, with collaborations on geometric applications and bioinformatics projects (e.g., coding sequence density estimation).

• Partial Differential Equations
• Zero Dispersion Limits
• Whitham Equations
• +۳ مورد دیگر

Fei-Ran Tian is a Professor of Mathematics at The Ohio State University, holding positions since 1995. His research focuses on Partial Differential Equations, Zero Dispersion Limits, Whitham Equations, and Modulation of Dispersive Oscillations. He earned his Ph.D. from New York University's Courant Institute in 1991, advised by Peter D. Lax. Education: Ph.D. Mathematics, Courant Institute, NYU (1991) M.S. Mathematics, Clarkson University (1987) B.S. Mathematics, Jinan University, China (1984) Research Interests: His work addresses integrable systems, zero dispersion limits, Whitham equations, and free boundary problems. He has contributed to understanding modulation equations for KdV and Camassa-Holm hierarchies, and their phase transitions. Grants: NSF DMS-0404931 (2004-2007) NSF DMS-0103849 (2001-2004) NSF DMS-9622810 (1996-1999) Awards: John Simon Guggenheim Fellowship (2003) Wilhelm T. Magnus Prize (1992) Honorary Professorship at Huang-Gang Normal University (2007) Labs/Teams: Collaborations include work with T. Grava on equilibrium measures and V. Pierce on Whitham equations. His research frequently involves numerical studies and asymptotic analysis of dispersive systems.

• Numerical Analysis
• Scientific Computing
• Computational Fluid Dynamics
• +۶ مورد دیگر

Yulong Xing is a Professor and Vice Chair for Graduate Studies in the Department of Mathematics at The Ohio State University. His research focuses on numerical analysis and scientific computing, particularly in high-order numerical methods for partial differential equations, computational fluid dynamics, and multiscale modeling. He holds a PhD from Brown University (2006) and has authored numerous papers on discontinuous Galerkin methods, well-balanced schemes, and computational approaches for fluid dynamics and geophysical flows. Key research areas include: Discontinuous Galerkin (DG) methods for hyperbolic conservation laws, radiative transfer, and wave propagation Well-balanced schemes for geophysical and astrophysical flows High-order adaptive algorithms for phase field models and nonlinear PDEs Structure-preserving numerical methods for Hamiltonian systems and energy conservation Recent work emphasizes asymptotic preserving methods for multiscale problems, positivity-preserving techniques, and applications to relativistic radiation transport and shallow water equations. Articles often address stability, error analysis, and computational efficiency in complex physical systems. His contributions include pioneering work on DG methods for the Euler equations with gravitational fields and innovative treatments of discontinuous bottom topography in shallow water modeling. Despite extensive publications, no specific awards or grants are explicitly listed in the provided text.

• Geometric Function Theory
• Complex Analysis
• Harmonic Analysis
• +۳ مورد دیگر

Arturo Nicolau Nos is a Professor in the Department of Mathematics at the Autonomous University of Barcelona (UAB). His research focuses on Geometric Function Theory, Complex Analysis, Harmonic Analysis, and Functional Analysis. He has held various academic roles since 1984, including Editorial Leadership in Publicacions Matemàtiques (2007–2011) and coordinated several research projects at the Centre de Recerca Matemàtica (CRM). Education: Ph.D. in Mathematical Sciences (UAB, 1990) and a Degree in Mathematics (UAB, 1984). Research Projects STOCHASTIC PROPERTIES IN GEOMETRIC FUNCTION THEORY (2022–2026) Aspectos probabilísticos y geométricos de la teoría de funciones (2018–2022) TEORIA GEOMETRICA DE FUNCIONES (2015–2018) He has advised 10 theses, including notable work on interpolation problems in complex analysis. His grants include funding from the European Regional Development Fund, Spanish Ministry of Economy, and international collaborations. He has held visiting positions at institutions like the University of Washington (2009), Washington University School of Medicine (2008), and Scuola Matematica Interuniversitaria (2002).

• Stochastic Processes
• Partial Differential Equations
• Gaussian Noise
• +۳ مورد دیگر

Lluis Antoni Quer Sardanyons is a researcher affiliated with the Department of Mathematics, focusing on stochastic partial differential equations (SPDEs), Gaussian noise, and Malliavin calculus. His work spans theoretical analysis and numerical methods for SPDEs, including reaction-diffusion equations and hyperbolic Anderson models. His research involves collaborations with institutions supported by grants from the Ministerio de Ciencia e Innovación (MICINN) and the European Regional Development Fund (FEDER). Key areas include fractional noise, multiplicative noise, and continuity in law with respect to the Hurst index. Recent publications highlight advancements in absolute continuity of solutions, moment estimation for Malliavin derivatives, and numerical approximations for stochastic heat and wave equations. His work contributes to both foundational SPDE theory and applied biosciences modeling.

Jay Gopalakrishnanمشاهده پروفایل

استاد

• Scientific computation
• Numerical analysis
• Finite elements
• +۳ مورد دیگر

Jay Gopalakrishnan is a Professor of Mathematics and the Maseeh Distinguished Chair at Portland State University's Department of Mathematics. His research focuses on scientific computation, numerical analysis, finite elements, and multigrid methods with applications in optics and mechanics. He has contributed significantly to the development of hybridizable discontinuous Galerkin (HDG) methods and the Discontinuous Petrov-Galerkin (DPG) framework, emphasizing structure-preserving numerical techniques. His work spans diverse domains including microstructured optical fibers, spacetime tents for hyperbolic systems, and eigenvalue cluster computations. Notable research activities include developing accurate computational tools for leaky modes in fibers, stability analysis of acoustic waveguides, and bone mineralization models. He advises doctoral students at institutions such as Intel Corporation, The MathWorks, and James Madison University. His teaching includes advanced numerical analysis courses and undergraduate mathematical computing. Collaborations with researchers like L. Demkowicz and J. Schöberl highlight his interdisciplinary impact in computational mathematics and engineering.

• Nonlinear Partial Differential Equations
• Cross-Diffusion Systems
• Mathematical Modeling in Semiconductor Devices
• +۵ مورد دیگر

Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations at TU Wien, Austria. He leads the Institute of Analysis and Scientific Computing within the Faculty of Mathematics and Geoinformation. His research focuses on mathematical modeling, analysis, and numerical simulation of complex systems, particularly in semiconductor physics, quantum hydrodynamics, and biological transport phenomena. Jüngel holds a PhD from TU Berlin (1994) and habilitation (1997), with prior academic roles at University of Konstanz and University of Mainz. His work spans nonlinear PDEs, cross-diffusion systems, entropy methods, and applications in semiconductor modeling (e.g., quantum drift-diffusion, Maxwell-Stefan systems). Notable contributions include rigorous derivation of energy-transport models, analysis of quantum fluid models, and development of entropy-dissipative numerical schemes. Awards include the ERC Advanced Grant (2021) and Tsungming-Tu Award (2011). Teaching emphasizes advanced mathematical topics: cross-diffusion systems, partial differential equations, and computational finance. Active in PhD supervision and collaborative projects, he co-authored books on transport equations, entropy methods, and semiconductor modeling. His team includes postdocs and PhD students working on topics like multi-species populations, tumor growth modeling, and stochastic cross-diffusion systems.

• Cross-Diffusion Systems
• Partial Differential Equations
• Biomathematics
• +۳ مورد دیگر

Esther Daus is a researcher affiliated with the Department of Analysis at TU Wien. Her primary research focuses on cross-diffusion systems, partial differential equations (PDEs), and their applications in biomathematics and stochastic processes. She specializes in deriving macroscopic models from microscopic particle systems, particularly in the context of biofilm growth, interacting particle systems, and fractional diffusion phenomena. Her work bridges applied mathematics with computational science, addressing challenges in numerical methods for degenerate PDEs and stochastic algorithms. Key contributions include rigorous analysis of cross-diffusion limits, finite-volume scheme convergence, and long-time behavior of nonlocal equations. She has advised PhD candidates Markus Fellner and Alexandra Holzinger on cross-diffusion and population dynamics modeling.

Sijue Wuمشاهده پروفایل

استاد

• Partial Differential Equations
• Fluid Mechanics
• Harmonic Analysis
• +۳ مورد دیگر

Sijue Wu is the Robert W. and Lynne H. Browne Professor of Mathematics at the University of Michigan. Born in 1964 in China, she earned her B.S. (1983) and M.S. (1986) from Beijing University and her Ph.D. (1990) from Yale University. Her academic career includes positions at the Courant Institute (NYU), Northwestern University, University of Iowa, and University of Maryland before joining Michigan in 2009. She has been an invited speaker at the 2002 International Congress of Mathematicians. Her research focuses on partial differential equations and fluid mechanics, particularly water wave equations and free boundary problems. Key contributions include establishing well-posedness for 2D and 3D water wave problems using harmonic analysis and Clifford algebra. She has also studied vortex sheets, self-gravitating fluids, and Muskat interface dynamics. Her awards include the 2001 Satter Prize, Morningside Silver (2001), and Gold Medals (2010), the latter being the first awarded to a woman. Her work spans diverse areas such as Sobolev regularity analysis, nonlinear wave interactions, and geometric fluid dynamics. She has collaborated with researchers like Nathan Totz, Shuang Miao, and Sohrab Shahshahani, advancing mathematical frameworks for fluid interface stability and singularity formation.

George Vossenمشاهده پروفایل

استاد

• Optimal Control
• Partial Differential Equations
• Numerical Methods
• +۴ مورد دیگر

George Vossen serves as Professor of Applied Mathematics and Computer-Aided Simulation at the Department of Engineering and Computer Science, Niederrhein University of Applied Sciences. He holds the administrative position of Chairman of the University Examination Board and teaches core mathematics courses including Mathematik 1 and 2 for bachelor programs, Numerische Methoden for master programs, and Angewandte Mathematik - Optimierung as an elective. His office is located in room B 410 with consultation hours by email appointment. Professor Vossen's research focuses on optimal control theory for partial differential equations with industrial applications. His work develops mathematical models for laser cutting processes to minimize surface roughness and stabilize melt flow boundaries, optimizes charging protocols for lithium-ion batteries using electro-chemical models, and advances model reduction techniques for complex systems. He has made significant contributions to switching time optimization in bang-bang control and proper orthogonal decomposition methods for parabolic control problems. His publication record from 2010-2018 demonstrates consistent interdisciplinary work bridging mathematics with engineering challenges. The research shows strong thematic continuity in developing numerical methods for real-world optimal control problems, with applications spanning laser technology, energy systems, and biomedical engineering. His collaborative approach is evident through numerous co-authored publications addressing practical industrial constraints.