جستجوی استاد راهنمای دانشگاهی

Gleb Pogudin is an Assistant Professor at École Polytechnique, Institute Polytechnique de Paris, where he is a member of the MAX team within the Laboratoire d'informatique. His research focuses on the intersection of symbolic computation, differential equations, and algebraic methods with applications across multiple scientific domains. Dr. Pogudin's primary research interests span several interconnected areas: Symbolic computation and computer algebra algorithms Theory and applications of differential and difference equations Nonlinear algebra and polynomial systems Structural identifiability of dynamical models Model reduction techniques for complex systems His recent publications (2024-2025) demonstrate a strong focus on developing theoretical foundations for differential elimination, structural identifiability analysis, and model reduction. These works span applications in systems biology, epidemiology, pharmacology, and optics. Notably, his research bridges pure mathematical theory with practical computational implementations, creating tools that address real-world scientific challenges. Dr. Pogudin has developed several significant software tools that implement his theoretical advances: StructuralIdentifiability.jl: A Julia package for assessing structural identifiability CLUE: Software for exact model reduction of ODE models via constrained lumping SIAN: Software for structural identifiability analysis of ODE models His GitHub repositories contain numerous implementations of algorithms from his papers on differential elimination and related topics, demonstrating his commitment to making theoretical advances practically accessible to researchers across disciplines.

• Symbolic computation
• Algorithms for differential equations
• Algorithms for difference equations
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Fernando Rafael Pardo Seco is a Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He earned his PhD in 2008 with a thesis titled Software-hardware FPGA-Based System for the solution of the 3D heat equation applications on the non-destructive evaluation of minefields , supervised by Dr. Diego Cabello Ferrer and Dr. Marco Balsi. His research focuses on FPGA-based systems, CMOS architectures, thermal modeling, image processing, and non-destructive evaluation techniques. His academic contributions span engineering education innovation, including methodologies like cooperative learning and e-learning integration. His technological work emphasizes embedded systems, hardware acceleration for numerical simulations, and safety-critical applications such as landmine detection through thermal analysis. Recent publications highlight advancements in hyperdimensional computing architectures, 3D image processing, and thermal simulation tools. His work bridges hardware-software co-design principles with real-world applications in geophysics, security systems, and industrial engineering education.

• Electronics Engineering
• Computer Engineering
• Signal Processing
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Francesc Arandiga Llau is a Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València, Spain. He is affiliated with the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, where he conducts research in applied mathematics with a focus on numerical methods and their applications. Education: PhD from Universitat de València (1992), thesis on operator approximation and spectral radius continuity, supervised by Dr. Vicent Caselles Costa. His research interests center on Numerical Analysis , Approximation Theory , and Multiresolution Methods , with significant contributions to WENO schemes , nonlinear interpolation , and image and signal compression . His work often bridges theoretical developments with practical implementations in computational mathematics and engineering. He has made notable advances in the stability, accuracy, and adaptability of reconstruction techniques for piecewise smooth and discontinuous functions. The analysis of his recent publications reveals a consistent focus on high-order numerical methods, particularly in the context of image processing and data compression . His work leverages multiresolution analysis , radial basis functions , and adaptive interpolation to improve accuracy and efficiency. Themes across his articles include monotonicity preservation, error control, and the design of nonlinear schemes that avoid spurious oscillations near discontinuities. There are no scientific awards explicitly mentioned in the provided text. Francesc Arandiga has extensive collaborative research, particularly with scholars such as Rosa Donat, Dionisio F. Yáñez, Pep Mulet, and Antonio Baeza. His work has been supported through various research projects, though specific grants are not detailed in the text. He has advised students, including those who have completed theses under his supervision, although a full list is not provided. He is a key member of the ANIMS research group, which focuses on Numerical Analysis, Images, Multiresolution, and Simulation. This team works on developing and analyzing advanced computational methods for scientific and engineering applications, particularly in the areas of data representation, image processing, and numerical solutions to differential equations.

• Numerical Analysis
• Approximation Theory
• Multiresolution Analysis
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Anna Martinez-Gavara is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is a member of the OPTIMATH research group, focusing on Optimization and Mathematical Modelling. Her research spans two major domains: applied numerical analysis for partial differential equations—particularly in developing high-resolution, well-balanced, and adaptive schemes for hyperbolic conservation laws and shallow water flows—and combinatorial optimization , where she applies metaheuristic methods such as tabu search, GRASP, and scatter search to problems like graph drawing, clustering, and diversity maximization. Her work integrates theoretical stability analysis with practical algorithmic design. The 15 most recent publications reflect a dual trajectory: early works (2008–2012) emphasize numerical methods for fluid dynamics and conservation laws, while more recent papers (2015–2023) pivot toward discrete optimization and metaheuristics. This evolution highlights her interdisciplinary approach, bridging numerical PDEs and operational research. Her collaborations include prominent researchers such as Rafael Martí, Rosa Donat, and Manuel Laguna, resulting in publications in high-impact journals including Journal of Computational Physics , Applied Numerical Mathematics , and European Journal of Operational Research . While no scientific awards are mentioned in the provided texts, her sustained publication record and active research up to 2023 indicate a strong and ongoing academic contribution. She has advised no publicly listed students in the data, and there is no mention of external grants or leadership of a lab or research team.

• Numerical Analysis
• Partial Differential Equations
• Fluid Mechanics
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Jose Maria Marti Puig is a Full Professor in the Department of Astronomy at the Faculty of Physics, University of Valencia. He is a leading researcher in computational astrophysics, specializing in relativistic hydrodynamics and numerical methods for astrophysical phenomena. He is affiliated with the CompAC (Computational Astrophysics and Cosmology) research group. Research Interests: His work focuses on the mathematical and computational modeling of high-speed astrophysical flows governed by special and general relativity. Key areas include relativistic hydrodynamics, magnetohydrodynamics, Riemann solvers, shock wave propagation, and numerical methods for solving hyperbolic systems in astrophysical contexts. His research is foundational for simulating phenomena such as relativistic jets, neutron star mergers, and stellar collapse. The trends in his publications show a sustained focus on developing and analyzing numerical algorithms for relativistic fluid dynamics, particularly exact and approximate Riemann solvers, high-resolution shock-capturing schemes, and central numerical methods. His work bridges theoretical physics, applied mathematics, and high-performance computing in astrophysics. Scientific Contributions: Marti Puig has authored influential review articles and technical papers that are widely cited in the computational relativity and astrophysics communities. Notably, his 2003 Living Reviews in Relativity article on numerical hydrodynamics in special relativity is a key reference in the field. Advising and Collaborations: He completed his PhD under the supervision of Dr. José María Ibáñez and has collaborated extensively with researchers such as Ewald Müller, Juan Antonio Miralles, and Miguel-Ángel Aloy. While specific student advisees are not listed, his long-standing role as a professor and group leader suggests significant mentorship activity. Laboratory and Research Group: He is a core member of the CompAC (Computational Astrophysics and Cosmology) Group at the University of Valencia, which conducts advanced simulations of astrophysical systems using high-performance computing techniques.

• Astronomy and Astrophysics
• Relativistic Hydrodynamics
• Computational Astrophysics
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Pep Mulet Mestre is a full Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València. He is a member of the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. University: Universitat de València School: Faculty of Mathematics Department: Department of Mathematics Research Group: ANIMS His primary research interests include numerical analysis, partial differential equations, fluid mechanics, image processing, and high-order finite difference methods. He has made significant contributions to WENO schemes, total variation-based image restoration, and models for sedimentation and traffic flow. The 15 most recent publications highlight a consistent focus on high-order accurate numerical methods, particularly WENO and IMEX schemes, applied to conservation laws, image processing, and biological models. His work bridges theoretical numerical analysis with practical applications in fluid dynamics and epidemiology. He has collaborated extensively with researchers such as Raimund Bürger, Rosa Donat, Antonio Baeza, and David Zorío, resulting in over 60 indexed publications since 1996. Dr. Mulet earned his PhD from the Universitat de València in 1992 with a thesis on local cohomology and duality in non-commutative Gorenstein rings, supervised by Dr. A. Verschoren. He advises graduate students and leads research projects in numerical methods for PDEs and scientific computing, though specific advisees are not listed in the provided text. There is no mention of specific grants or scientific awards in the available information.

• Numerical Analysis
• Partial Differential Equations
• Fluid Mechanics
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Heliodoro Moya is a researcher affiliated with University Pablo de Olavide , focusing on sports nutrition, body composition analysis, and bioimpedance. He earned his doctoral degree in 2022 with a thesis titled Protocolo integral de estimación de la composición corporal en jugadores de fútbol profesional , supervised by Dr. Francisco José Berral de la Rosa. His work centers on developing and validating bioimpedance equations for skeletal muscle and fat mass estimation in Caucasian populations. Research Group: ESAR Ejercicio, Salud y Alto Rendimiento Áreas PAIDI: Ciencia y Técnicas de la Salud Recent publications highlight his contributions to understanding phase angle correlations with body composition, optimizing recovery protocols for athletes, and evaluating hydration strategies. His studies employ systematic reviews, device validation, and population-specific modeling to advance sports science and clinical nutrition. Key research trends include: Development of bioimpedance equations for muscle and fat mass Analysis of phase angle as a health biomarker Antioxidant supplementation for exercise recovery Dietary patterns in youth athletes

• Sports Nutrition
• Body Composition Analysis
• Bioimpedance
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Antonio Baeza Manzanares is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. He is a member of the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. He obtained his PhD in 2010 from the University of Valencia under the supervision of Dr. Pep Mulet Mestre. PhD, University of Valencia, 2010 His research lies at the intersection of numerical analysis and applied mathematics, with a strong emphasis on developing high-order accurate numerical methods for partial differential equations. His work is particularly influential in the design and analysis of WENO schemes, finite difference methods on complex domains, adaptive mesh refinement, and Taylor-type integrators for ODEs. These methods are essential for simulating fluid dynamics and conservation laws with high fidelity. The trend in his recent publications shows a sustained focus on improving the accuracy, efficiency, and robustness of numerical schemes, especially for problems involving shocks, complex geometries, and boundary treatments. He frequently publishes in leading journals such as the Journal of Scientific Computing and SIAM Journal on Numerical Analysis . He has no listed scientific awards in the provided text. Antonio Baeza actively collaborates with prominent researchers including Pep Mulet, David Zorío, Raimund Bürger, and Francesc Aràndiga. His work is supported by ongoing research projects and contributions to the mathematical community through publications and group leadership. He advises students within the ANIMS group, though specific names are not listed. He is affiliated with the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, which conducts interdisciplinary work in computational mathematics, image processing, and scientific simulation.

• Numerical Analysis
• Partial Differential Equations
• Applied Mathematics
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Joan Torregrosa i Arús is an Associate Professor in the Department of Mathematics at the Universitat Autònoma de Barcelona (UAB). His work focuses on dynamical systems, differential equations, and bifurcation theory, with a particular emphasis on limit cycles and nonlinear dynamics. He has held academic positions at UAB since 1991, including roles as an Assistant Lecturer and Full-Time Associate Professor. His research explores topics like periodic orbits, integrability, and applications to ecological models. He has led and participated in multiple research projects funded by institutions such as the European Social Fund and the Spanish Ministry of Economy and Competitiveness. Ph.D. in Mathematical Sciences from UAB (1998) Masters in Mathematical Sciences from UAB (1993) Bachelor's in Mathematical Sciences from UAB (1991) His research interests include the qualitative analysis of differential systems, bifurcation phenomena, and mathematical modeling of ecological systems. Recent work examines limit cycles in piecewise systems, slow-fast dynamics, and invariant manifolds in 3D vector fields. He has contributed to over 95 publications and actively collaborates on projects studying continuous and discrete dynamical systems. Key projects include the study of bifurcations in dynamical systems theory (DYNAMICS) and the analysis of continuous/discrete systems' periodic orbits. No scientific awards are explicitly listed, but his extensive contributions highlight sustained academic impact. He has advised two theses, including work on singular points and periodic orbits in vector fields. His research group, 'Sistemes Dinàmics,' focuses on theoretical and applied aspects of dynamical systems, emphasizing interdisciplinary applications.

• Dynamical Systems
• Differential Equations
• Bifurcation Theory
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Rafael Delgado Lopez is a Professor in the Department of Applied Mathematics for Information and Communication Technologies at the School of Telecommunications Engineering, Technical University of Madrid (UPM). He joined UPM as a Profesor Ayudante Doctor in September 2020 and was promoted to Profesor Contratado Doctor in September 2023. His research is primarily focused on theoretical particle physics, with expertise in collider phenomenology, lattice QCD, and effective field theories. He is a member of the Geometría y sus aplicaciones research group and has been part of the ADAI project (PID2021-124473NB-I00) since 2021. Delgado Lopez's research spans several key areas in theoretical physics. His primary interests include Higgs physics, where he investigates multi-Higgs production processes and the differences between Standard Model Effective Field Theory (SMEFT) and Higgs Effective Field Theory (HEFT). He has made significant contributions to lattice QCD, particularly in studying the static energy in multi-flavor QCD and charm mass effects. His work also extends to graviton scattering, unitarization techniques, and computational physics, where he developed the MaMuPaXS tool for numerical integration of cross sections and contributed to the QuantumFDTD computational framework. His recent publications demonstrate a focus on cutting-edge topics in particle physics, with particular attention to multi-Higgs production, vector boson scattering, and the search for physics beyond the Standard Model. His work often involves complex computational techniques and collaborations with international research groups including those at INFN-Firenze and TUM. As an academic supervisor, Delgado Lopez has directed multiple student projects, including bachelor theses on elliptic curves cryptography and image classification via machine learning for medical purposes, as well as a master's thesis on the Quantum Walk Algorithm. He has also been involved in the acquisition, administration, and maintenance of high-performance computing resources for the ADAI project.

• Particle Physics
• Collider Physics
• Lattice QCD
• +۳ مورد دیگر

Nuria Reguera Lopez is an Associate Professor at the Department of Mathematics and Computer Science , affiliated with the Higher Polytechnic School at the Universidad de Burgos (UBU). Her research focuses on Numerical Analysis , Partial Differential Equations , and Quantum Theory , with a specialization in absorbing boundary conditions and exponential splitting methods for solving nonlinear and reaction-diffusion equations. Her academic journey began with a PhD in Industrial, Computer, and Civil Engineering Technologies from the Universidad de Valladolid in 2001, under the supervision of Dr. Isaías Alonso Mallo. Her work has been instrumental in advancing Lawson methods and exponential integrators , addressing critical challenges in order reduction and numerical stability in computational physics. Over her career, Nuria has published 25 peer-reviewed articles, including 3 preprints on arXiv, with key contributions to nonlinear Schrödinger equations and solitary wave simulations . Her collaborations with researchers like Alonso-Mallo, Cano, and Durán have strengthened interdisciplinary approaches in mathematical modeling and computational dynamics . She is actively involved in the FISMAT-UBU Mathematical Physics research group and previously contributed to the GMAMMI Applied Mathematical Modelling of Materials and Engineering group. Her work bridges theoretical mathematics and practical applications, particularly in wave propagation and quantum mechanics simulations.

• Numerical Analysis
• Partial Differential Equations
• Quantum Theory
• +۲ مورد دیگر

Enrique Zuazua is an Alexander von Humboldt Professor at Friedrich–Alexander University Erlangen-Nürnberg (FAU) and Director of the Chair of Computational Mathematics at Deusto Foundation, University of Deusto. He is also a Professor of Applied Mathematics at the Autonomous University of Madrid (UAM) since 2001. FAU: Chair Expert in Applied Mathematics (2019–present) Deusto: Chair of Computational Mathematics (2014–present) UAM: Strategic Chair in Applied Mathematics (2001–present) His research spans Partial Differential Equations , Systems Control , Numerical Analysis , and Machine Learning , with applications in aeronautics, energy networks, and biological systems. He focuses on control theory and its intersection with computational methods, including neural ODEs , federated learning , and fractional PDEs . Recent publications highlight advancements in observability for wave equations , Gaussian beam approximations , neural transport control , and turnpike principles in machine learning. His work bridges theoretical mathematics with industrial-scale optimization. Scientific honors include: ERC Advanced Grants: CoDeFeL (2022), DyCon (2016), NUMERIWAVES (2010) Euskadi Prize (2006) and Julio Rey Pastor Prize (2007) Doctor Honoris Causa, Université de Lorraine (2014) Mentorship of 24 PhD students and 25+ postdocs He contributes to editorial boards of journals like Mathematical Control and Related Fields and advises international research institutions such as CERFACS in Toulouse. His outreach includes over 200 public lectures and media appearances on mathematics in society.

• Applied Mathematics
• Partial Differential Equations
• Systems Control
• +۴ 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.

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
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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.

• Applied Mathematics
• Numerical Relativity
• Computational Astrophysics
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Maria del Carmen Vazquez Pampin is a researcher at the Faculty of Economic and Business Sciences within the Department of Mathematics at the University of Vigo , Spain. She holds a PhD in Mathematics from the University of Vigo (1995) with a dissertation on Uniform Preferences in Banach Lattices , supervised by Dr. Manuel Besada Morais. Fields of Research: Game theory, mathematical economics, numerical analysis, utility theory, and optical modeling in biophysics. Publications: 12 peer-reviewed works since 1998, primarily in Mathematical Social Sciences and Journal of Mathematical Economics , addressing preference ranking systems, model risk quantification, and light propagation algorithms. Key Research Trends include: Preference axiomatization in infinite economic spaces Mathematical modeling of ocular optics Computational finance and semiconductor physics simulations Notable Collaborations with economists like Ricardo Arlegi and Miguel Ballester, and physicists such as Jorge Pérez-Velasco and David Mas. Technical Expertise spans Banach lattice theory, Fourier transforms, and finite difference methods for PDEs.

• Mathematical Analysis
• Game Theory
• Economic Decision Theory
• +۳ مورد دیگر