جست‌وجوی استاد و پژوهشگر

Oriol Serra Alboمشاهده پروفایل

استاد

• Combinatorics
• Additive Number Theory
• Graph Theory

Oriol Serra Albo is a Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), affiliated with the Institute of Mathematics of UPC-BarcelonaTech (IMTech) and the Faculty of Mathematics and Statistics (FME). He leads the research group GAPCOMB (Geometric, Algebraic and Probabilistic Combinatorics) and maintains collaborations with the Barcelona Graduate School of Mathematics. Research Focus: Serra's work spans three interconnected domains: Combinatorics : Developing novel frameworks for discrete structure analysis Additive Number Theory : Investigating sumset properties in algebraic structures Graph Theory : Exploring coloring problems and structural graph properties Publication Trends: His recent articles (2021-2024) demonstrate a focus on extremal problems in additive combinatorics, structural properties of random graphs, and algebraic methods in discrete mathematics. Common themes include product-free sets in non-abelian groups, vertex bisection in random regular graphs, and probabilistic approaches to combinatorial optimization. Research Leadership: Serra coordinates multiple competitive research projects including: Structure, Randomness and Computational Methods in Extremal Combinatorics Contemporary Combinatorics and Applications (COCOA) Geometric, Algebraic and Probabilistic Combinatorics Combinatoria: nuevas tendencias y aplicaciones Academic Service: Regularly serves on scientific committees for international conferences including the European Conference on Combinatorics and French Combinatorial Conference.

• Geometry
• Topology
• Differential Geometry
• +۳ مورد دیگر

Jesús Antonio Álvarez López is a University Professor at the University of Santiago de Compostela, specializing in Geometry and Topology. He teaches advanced courses such as Cohomology of Varieties, History of Mathematics, and Topology of Surfaces across undergraduate and graduate programs. His research focuses on geometric and topological structures, including foliated dynamical systems, Morse theory, and zeta functions, with interdisciplinary contributions to materials science and medical studies. He actively publishes in high-impact journals and collaborates on projects in sustainable materials and clinical outcomes research. Teaching Responsibilities : Cohomology of Varieties (Master’s, Doctoral Program) History of Mathematics (Bachelor’s, Double Degrees) Topology of Surfaces (Bachelor’s, Double Degrees) Mathematics for Biotechnology (Undergraduate) Research Highlights : His work bridges pure and applied mathematics, addressing topics like fixed point indices, foliation geometry, and zeta invariants. Recent studies explore sustainable antimony recovery methods and biological relapse mechanisms in myeloma. He also contributes to reconstructive surgery techniques and wheat biome interactions for sustainable agriculture. Awards & Grants : No explicit awards listed, but ongoing projects suggest active grant-funded research. Labs/Teams : Collaborates with the Research Group in Mathematics at USC, focusing on geometric analysis and interdisciplinary applications.

Eliseo Chacon Veraمشاهده پروفایل

استاد

• Fluid Mechanics
• Numerical Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Eliseo Chacón Vera is a Professor at the Faculty of Mathematics, Department of Mathematics, Universidad de Murcia. His research focuses on Numerical Analysis , Fluid Mechanics , and Partial Differential Equations , particularly in the context of Navier-Stokes equations , domain decomposition , and vortex patch problems . He is affiliated with the research group Dynamic Systems and Applications and previously contributed to Functional Analysis . PhD in Mathematics (1997) from Universidad de Murcia with the thesis Aproximación por splines cúbicos y analiticidad para paquetes de vorticidad constante , supervised by Dr. Tomás Chacón Rebollo. His work involves developing stabilized finite element methods for Stokes and Navier-Stokes equations, analyzing hydrostatic approximations in oceanography, and addressing corner singularities in compressible flows. Key trends in his publications include domain decomposition techniques , vorticity-velocity-pressure formulations , and regularity analysis for elliptic boundary value problems. He has collaborated with researchers such as Christine Bernardi, Mohamed Amara, and Roger Lewandowski, publishing in journals like Applied Numerical Mathematics and Computer Methods in Applied Mechanics and Engineering . His research intersects Applied Mathematics , Geophysics , and Computational Fluid Dynamics .

• Algebra
• Commutative Algebra
• Group Theory
• +۶ مورد دیگر

Antonio Garcia Rodicio is a University Professor in the Department of Mathematics at the Faculty of Mathematics, University of Santiago de Compostela . His research focuses on algebraic structures, particularly in homological methods, commutative algebra, and group theory. Education: PhD in Mathematics (1986), University of Santiago de Compostela, Thesis: Homological methods in P-local groups , Advisor: Dr. Alfredo Rodríguez-Grandjean López-Valcárcel. Professor Rodicio has made significant contributions to the study of smooth and complete intersection algebras , Hochschild homology , and Koszul complexes . His work often bridges commutative algebra with algebraic geometry and homological algebra. His publications, spanning 1985–2010, emphasize homological characterizations of algebraic structures. Key themes include the interplay between smoothness and homological dimension, applications of cotangent complexes, and rigidity in generalized Koszul complexes. Professor Rodicio has collaborated extensively within the algebraic community, with notable joint works with Javier Majadas and Amalia Blanco. His research has been cited in over 81 documents, influencing studies on André-Quillen homology and local rings.

• Algebra
• Group Theory
• Commutative Algebra
• +۲ مورد دیگر

Javier Barja Pérez is a researcher at the Department of Mathematics , Faculty of Mathematics , University of Santiago de Compostela , active between 1988-2024. His work focuses on Algebra , particularly Group Theory , Commutative Algebra , and Homological Algebra . His research includes analyzing eight-term exact sequences in group homology , studying syzygetic ideals , and exploring regular sequences . Publications like 'Homology groups H n q ( − ) and eight-term exact sequences' (1990) and 'Syzygetic ideals, regular sequences, and a question of Simis' (1989) highlight his contributions to homological algebra and algebraic topology. Barja Pérez has collaborated with scholars such as C. Rodriguez and Antonio Garcia Rodicio , contributing to serials like Communications in Algebra and Journal of Algebra . His work intersects category theory and algebraic topology through syzygetic methods.

• Complex Analysis
• Partial Differential Equations
• Pseudoconvex Domains
• +۳ مورد دیگر

Josep Maria Burgues Badia is a Professor in the Department of Mathematics at Universitat Autònoma de Barcelona (UAB). His research focuses on complex analysis, pseudoconvex domains, and partial differential equations. He holds a Ph.D. from UAB awarded in 1985. He has been actively involved in multiple research projects funded by institutions like the European Commission and the Spanish Ministry of Education. Key projects include leadership roles in initiatives like 'Metric Analysis for Emergent Technologies (MANET)' (2014-2018) and contributions to projects exploring function theory applications in signal analysis. His work bridges pure mathematics with emerging technologies, particularly in geometric analysis and harmonic analysis methods. Burgues Badia has collaborated on over 14 research outputs since 1979, with recent contributions addressing analyticity in fluid dynamics and geometric properties of complex domains. His teaching and advising include directing doctoral and master's theses in analysis and algebraic structures.

• Internet of Things (IoT)
• Sensor Networks
• Vehicular Networks (VANETs)
• +۷ مورد دیگر

José María Barcelò Ordinas is a Professor in the Department of Computer Architecture at the Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is a leading researcher in the UPC CNDS (Computer Networks and Distributed Systems) group, focusing on IoT, sensor networks, vehicular networks, and wireless systems. His research interests include Internet of Things (IoT), sensor networks, vehicular networks (VANETs), wireless networks, and more specifically, data quality, anomaly detection, and calibration in IoT-based environmental monitoring systems. He applies advanced techniques such as graph signal processing, machine learning, and distributed algorithms to improve the reliability and accuracy of low-cost sensor networks. The recent articles published by Dr. Barcelò and his team demonstrate a strong focus on air quality monitoring using IoT platforms. Key themes include black carbon estimation, sensor calibration, anomaly detection using deep learning, and data reconstruction via graph-based methods. These works frequently appear in high-impact journals such as IEEE IoT Journal, IEEE Transactions on Network Science and Engineering, and Sensors. His scientific recognition includes: Reconeixement als mèrits docents d’especial qualitat (Recognition for Teaching Merits of Special Quality) Dr. Barcelò has led and participated in multiple competitive R&D+i projects, including those funded by the H2020 program and Spanish national research plans. He has advised PhD students such as Pau Ferrer-Cid and collaborates extensively with researchers like Jorge Garcia-Vidal and Manel Guerrero. He also serves on the scientific committees of international conferences and contributes as a reviewer for journals including IEEE Sensors Journal and Transportation Research Part D. He is actively involved in research teams and leads projects related to IoT air pollution monitoring, urban environmental sensing, and digital twins. His work bridges theoretical advances with real-world applications in smart cities and environmental protection.

• Fuzzy Statistics
• Statistical Inference
• Operations Research
• +۳ مورد دیگر

Ana Maria Colubi Cervero is a Professor in the Department of Statistics and Operations Research at the University of Oviedo. Her research focuses on statistical methods for imprecise data, particularly fuzzy sets and interval-valued data analysis. She has established herself as a leading researcher in the field of fuzzy statistics and statistical inference with imprecise information. She earned her Doctorate from the University of Oviedo in 2000 with a thesis titled "Leyes fuertes de los grandes números para variables aleatorias difusas" (Strong Laws of Large Numbers for Fuzzy Random Variables), supervised by Dr. José Santos Domínguez Menchero and Dr. María Angeles Gil Alvarez. Colubi Cervero's research primarily centers on fuzzy statistics, with particular emphasis on fuzzy random variables, interval-valued data analysis, and statistical methods for imprecise information. Her work bridges theoretical statistics with practical applications, developing methodologies that can handle uncertainty and imprecision in data. She has made significant contributions to distance-based statistical analysis of fuzzy data, regression models for interval-valued responses, and hypothesis testing for fuzzy parameters. Her publication record shows a consistent trend toward developing robust statistical frameworks for imprecise data, with increasing focus on practical applications in recent years. The articles demonstrate a progression from theoretical foundations to more applied statistical methods, particularly in regression analysis and hypothesis testing with fuzzy and interval-valued data. Throughout her career, Colubi Cervero has maintained extensive collaborations, primarily with researchers from Spanish institutions but also with international scholars. Her work shows strong interdisciplinary connections between statistics, probability theory, and computational mathematics. She has been actively involved with research groups including GRINAT (Grupo de Investigación en Riesgos Naturales) and SMIRE+CoDIRE (Estadística con Elementos Imprecisos Aleatorios & Comparación de Distribuciones entre Elementos Aleatorios), focusing on natural risk research and statistical methods for imprecise random elements.

• Commutative Algebra
• Algebraic Geometry
• Tensor Decompositions
• +۱ مورد دیگر

Alessandro Oneto is an Associate Professor in the Department of Mathematics at the University of Trento, Italy, a position he has held since April 2023. Previously, he served as an Assistant Professor at the same institution from April 2020 to April 2023. His academic trajectory includes postdoctoral research at Inria Sophia Antipolis Méditerranée (France), Universitat Politècnica de Catalunya (Spain), and OVGU Magdeburg (Germany) under the Alexander von Humboldt Foundation. His educational background encompasses a Ph.D. in Mathematics from Stockholm University (2016), a Master's degree from the University of Genoa (2012), and a Bachelor's degree from the same institution (2010). Ph.D. in Mathematics, Stockholm University, Sweden (2016) Master's in Mathematics, University of Genoa, Italy (2012) Bachelor's in Mathematics, University of Genoa, Italy (2010) Oneto's research centers on Commutative Algebra and Algebraic Geometry, with specialized focus on algebraic geometric models applied to tensor decompositions and algebraic statistical models. He investigates the interplay between theoretical algebraic geometry and practical applications in data science, particularly examining tensor rank, secant varieties, and Waring-type decompositions through computational algebraic methods. His recent publications (2019-2025) reveal consistent exploration of tensor space geometry, addressing identifiability, defectivity, and polynomial strength. These works demonstrate synergy between abstract geometric concepts and computational approaches, yielding advances in statistical modeling and optimization theory while extending classical invariant theory. Scientific recognition includes: Alexander von Humboldt Foundation Postdoctoral Fellowship Barcelona Graduate School of Mathematics Postdoctoral Fellowship Oneto actively mentors students through the TensorDec Laboratory, which connects master's and graduate students to tensor decomposition research. He co-organizes major academic events including the INABAG Conference 2025 and TiME 2025 school, while securing support from MUR, CIRM-FBK, and INdAM-GNSAGA for collaborative initiatives. Since 2020, the TensorDec Laboratory has served as Trento's hub for tensor decomposition research and training. Oneto co-maintains the MultilinearVerse portal (launched 2024), a comprehensive resource for tensor literature, and contributes to the Italian Network for Applied and Birational Algebraic Geometry (INABAG), fostering national collaboration among algebraic geometers.

Oriol Serraمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Combinatorial Number Theory
• +۵ مورد دیگر

Oriol Serra is a full professor of Applied Mathematics at the Department of Mathematics of the Universitat Politècnica de Catalunya (UPC) since 1999. He holds a PhD in Mathematical Sciences from UPC (1988) and a degree in Mathematics from the Universitat de Barcelona (1983). His primary research areas include combinatorics, graph theory, and combinatorial number theory, with a focus on isoperimetric problems, Ramsey Theory, extremal and probabilistic combinatorics, and additive combinatorics. He has held leadership roles such as Chair of the Department of Mathematics (2011–2017), Vice-Dean of Research at the School of Mathematics (2007–2011), and member of the Executive Committee of the Barcelona Graduate School of Mathematics (2012–2015). He has organized and participated in numerous international conferences and workshops, including the European Conference on Combinatorics (2017, 2019) and the British Combinatorial Conference (2019). His research spans foundational topics in discrete mathematics, with contributions to additive combinatorics, graph labeling, and probabilistic methods. Recent work includes studies on random walk mixing, Sidon set systems, and discrete Brunn-Minkowski inequalities. He has advised over 20 PhD students and numerous master’s students, contributing to the training of new researchers in combinatorics and theoretical computer science. His teaching includes courses on combinatorics, graph theory, and probability at the undergraduate and graduate levels at UPC. Oriol Serra is affiliated with the research group Geometric, Algebraic, and Probabilistic Combinatorics (GAPCOMB) and has been involved in multiple funded projects, including the Marie Curie fellowship GEOSUMSETS (2010–2012) and the Spanish-funded project GEOMETRÍA DISCRETA (2018–2020).

Piotr Zwiernikمشاهده پروفایل

دانشیار

• Graphical Models
• Covariance Matrix Estimation
• Convex Analysis
• +۷ مورد دیگر

Piotr Zwiernik is a Professor Agregat in the Department of Economics and Business at Universitat Pompeu Fabra (UPF), Barcelona, and a member of the BSE Data Science Center. He is currently on leave from the Department of Statistical Sciences and the Department of Mathematics at the University of Toronto. His research bridges statistics, algebraic geometry, and machine learning, focusing on graphical models, covariance estimation, tensors, and algebraic methods in statistics. Research Interests: Graphical Models Covariance Matrix Estimation Convex Analysis Tensors Algebraic and Combinatorial Methods in Statistics Statistical Learning Theory His recent publications span high-impact journals such as the Annals of Statistics , Biometrika , and Journal of the Royal Statistical Society . The work demonstrates a consistent trend in developing mathematically rigorous frameworks for understanding dependence structures, latent variable models, and high-dimensional inference, often leveraging tools from algebraic geometry and convex optimization. Key themes include total positivity, tensor methods, and the geometry of statistical models. Scientific Recognition: Editorial Board Member, Journal of the Royal Statistical Society Series B (JRSS-B) Editorial Board Member, Biometrika Editorial Board Member, Scandinavian Journal of Statistics Editorial Board Member, Algebraic Statistics Zwiernik actively mentors students and is seeking PhD candidates with strong mathematical backgrounds at UPF and the Institute of Mathematics of UPC. He has led the development of several open-source R packages, including golazo , MTP2binary , and StructuralEM , facilitating research in graphical models and latent structures. His work is supported by a network of collaborations with leading statisticians and has significant theoretical and applied implications in data science. Laboratories and Research Groups: Statistics@UPF BSE Data Science Center

• Partial Differential Equations
• Nonlinear Analysis
• Elliptic Equations
• +۴ مورد دیگر

Marta Latorre Balado is a mathematical researcher affiliated with the Universitat de València, specifically within the Department of Mathematical Analysis. She is associated with the research group EDPNOL (Nonlinear Partial Differential Equations), focusing on advanced topics in PDE theory. She earned her PhD in 2018 with a dissertation on elliptic equations involving the 1-Laplacian operator, supervised by Dr. Sergio Segura de León. Her research lies at the intersection of nonlinear analysis and partial differential equations, particularly those with singularities, gradient dependencies, and variational structures. Her publications reveal a strong focus on existence, uniqueness, and regularity of solutions for equations involving the 1-Laplacian and related operators. Key themes include singular terms, L^1 and Marcinkiewicz data, dynamical boundary conditions, and blow-up behavior in reaction-diffusion systems. Her work contributes to the theoretical foundations of nonlinear PDEs with applications in mathematical physics and image processing. Notable trends in her research include the use of BV (bounded variation) spaces, comparison principles, and self-similar solutions. She frequently collaborates with experts such as Sergio Segura de León, Razvan Iagar, and Ariel Sánchez. Marta has not been awarded any listed scientific prizes in the provided data and has no known advisees. She has co-authored 11 publications since 2017, primarily in reputable journals like Journal of Mathematical Analysis and Applications and Nonlinearity . She is part of an active research team in nonlinear PDEs at her institution, contributing to both theoretical developments and collaborative projects in mathematical analysis.

Jose Julian Toledo Meleroمشاهده پروفایل

استاد

• Partial Differential Equations
• Nonlocal Diffusion
• Calculus of Variations
• +۷ مورد دیگر

Jose Julian Toledo Melero is a Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, Universitat de València. He is a leading researcher in nonlinear partial differential equations, with a focus on nonlocal diffusion, evolution equations, and optimal transport in metric random walk spaces. His work bridges pure and applied analysis, with strong collaborations with mathematicians such as José M. Mazón and Julio D. Rossi. His research interests include: Nonlinear Partial Differential Equations Nonlocal Diffusion and Operators Calculus of Variations and Optimal Transport Evolution Problems in Metric Spaces Geometric Analysis and Minimal Surfaces Doubly Nonlinear and Degenerate Equations The recent articles show a consistent focus on analytical and geometric properties of nonlocal models, particularly in discrete and metric random walk settings. His work frequently appears in top journals such as Calculus of Variations , SIAM Journal on Mathematical Analysis , and Journal of Evolution Equations , often in collaboration with leading experts. The publications reveal a deep engagement with both theoretical foundations and structural analysis of solutions. He has co-authored influential books such as Nonlocal Diffusion Problems (AMS, 2010) and Variational and Diffusion Problems in Random Walk Spaces (Birkhäuser, 2023), which are key references in the field. His research is highly cited, indicating significant impact in the mathematical community. He advises no publicly listed students in the provided data. There is no mention of specific grants or teaching roles, but his extensive publication record and book authorship reflect a sustained and high-level research career. He maintains an active research profile with upcoming events such as the 2025 CIMPA-UCA School on optimal transport and PDEs, suggesting ongoing leadership and contribution to the international mathematical community.

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +۵ مورد دیگر

Maria Camino Teofila Balbuena Martinez is a professor in the Department of Applied Mathematics III at the Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya. She is a key member of the COMBGRAPH research group, focusing on combinatorics and graph theory. Her work spans theoretical and applied aspects of discrete mathematics, with strong collaborations across Spain and internationally. Research Interests: Her primary research lies in graph theory and combinatorics, particularly in identifying codes, connectivity in graphs and digraphs, extremal graph theory, and algebraic graph theory. She investigates structural properties of graphs such as girth, connectivity, and spectral characteristics, often applying these to network design and reliability. The analysis of her 15 most recent publications reveals a consistent focus on identifying codes and their spectral characterizations, connectivity parameters in regular and bipartite graphs, and constructions of cages and extremal graphs. Her work bridges combinatorial theory with applications in network optimization and fault detection. Scientific Awards: Top Cited Article 2005–2010 Advising and Grants: She has advised PhD students such as Martínez Barona, Berenice and Salas Piñon, Julian. Her research has been supported by competitive national and regional grants, including projects under the Spanish Plan Nacional de Investigación and the Catalan Pla de Recerca i Innovació. She has led and participated in projects like 'Estudio matemático de los fallos en cascada en sistemas complejos' and 'Técnicas de optimización en teoría de grafos, grupos y combinatoria'. Labs and Research Teams: She is a core member of the COMBGRAPH research group, which focuses on combinatorics, graph theory, and their applications. This group is active in publishing, organizing workshops, and training PhD students in discrete mathematics.

• Partial Differential Equations
• Nonlinear Analysis
• Mathematical Physics
• +۴ مورد دیگر

Pablo Alvarez Caudevilla is an Associate Professor in the Mathematics Department at Carlos III University of Madrid (UC3M). His research focuses on partial differential equations and their applications, with specialization in nonlinear analysis and mathematical modeling. He leads the research group "Ecuaciones Diferenciales y Aplicaciones" (Differential Equations and Applications). His primary research interests include: Partial Differential Equations Nonlinear Analysis Mathematical Physics Calculus of Variations Applied Mathematics Higher-Order Differential Equations Dr. Alvarez Caudevilla's publication record demonstrates deep expertise in fourth-order equations including thin film equations and bi-Laplace equations. His work addresses critical questions about existence, regularity, asymptotic behavior, and singularity formation in nonlinear PDEs. He has made significant contributions to understanding blow-up phenomena, gradient behavior, and self-similar solutions across multiple equation types. He has secured competitive research funding as principal investigator for projects including "Ecuaciones en derivadas parciales y sistemas de EDPs acopladas: Análisis y aplicaciones" (2020-2023) funded by AGENCIA ESTATAL DE INVESTIGACION and "Ecuaciones diferenciales de alto orden de tipo parabolico y eliptico" (2013-2015) funded by MINISTERIO DE ECONOMÍA, COMERCIO Y EMPRESA. Dr. Alvarez Caudevilla maintains an extensive international research network with regular collaborations at institutions including Université Paris 7/Laboratoire Jacques-Louis Lions (France), University of Bath (UK), Kyoto Sangyo University (Japan), and University of Sydney (Australia). His research mobility includes numerous funded visits across Europe, Asia, and Australia focusing on advanced problems in differential equations.