Find Academic Supervisors

• Physical Education
• Motor Skills
• Educational Psychology
• +3 more

Cristina Conde Garcia serves as a Contracted Professor at the University of Huelva within the Faculty of Education, Psychology and Sports Sciences, Department of Integrated Didactics. Her academic specialization centers on Didactics of Body Expression, and she actively contributes to the Research Center on Contemporary Thought and Innovation for Social Development through research group HUM643 "Education, Motor Skills and ONUBENSE Research". Education: PhD in Didactics of Body Expression from the University of Huelva (2011). Dissertation: "Effects of intervention in the task climate on motivation in young athletes", supervised by Dr. Pedro Sáenz-López Buñuel and Dr. Juan Antonio Moreno Murcia. Research Focus: Her work critically examines emotional and motivational climates in educational and sports contexts, with particular emphasis on inclusive physical education strategies for children with hearing disabilities. She develops innovative interventions using Mexican Sign Language to enhance motor coordination, investigates classroom emotional dynamics across educational levels, and analyzes sports motivation in basketball and padel contexts. Her research bridges theoretical frameworks with practical classroom applications. Publication Trends: Recent publications (2021-2025) reveal a concentrated effort on emotional education frameworks, evidenced by systematic reviews on elementary school implementations and practical guides for university classroom climate improvement. A significant thread addresses motor skill development for children with hearing disabilities through sign language integration, while parallel studies explore sports motivation drivers in Portuguese padel communities and youth basketball performance under varying coaching emotional scenarios. Scientific Awards: No awards or fellowships were documented in the provided materials. Advising and Grants: The available information does not specify any doctoral advisees, research grants, or funded projects. Research Infrastructure: Leads the HUM643 research group focused on motor skills education and collaborates with the University of Huelva's Research Center on Contemporary Thought and Innovation for Social Development, maintaining an active research agenda through regular publications and methodological innovations.

• Combinatorics
• Discrete Mathematics
• Random Graphs
• +4 more

Juan José Rué Perna is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he serves in the Faculty of Mathematics and Statistics. He also holds the position of Director of CFIS (Centro de Formación Interdisciplinaria Superior) and maintains strong affiliation with the Centre de Recerca Matemàtica (CRM). His academic career spans prestigious institutions across Europe, including Freie Universität Berlin, CSIC-ICMAT in Madrid, and École Polytechnique in Paris. Licenciado en Matemáticas (5-year degree) Engineering degree in Telecommunications (5-year program) PhD in Applied Mathematics (2009), supervised by Professor Marc Noy Rué's research focuses on combinatorics and discrete mathematics, with expertise in combinatorial structures, random graphs, and enumerative problems. His work bridges theoretical mathematics with applications in computer science, particularly in structural graph theory and probabilistic methods. He has made significant contributions to the understanding of planar graphs, random discrete structures, and additive combinatorics problems. His research combines analytic techniques with combinatorial reasoning to solve challenging enumeration and structural problems. His recent publications demonstrate a consistent trajectory in combinatorial mathematics, with emphasis on planar structures, random discrete objects, and additive problems. The works span theoretical investigations of graph structures, enumeration techniques, and probabilistic approaches to combinatorial problems. His research group GAPCOMB (Geometric, Algebraic and Probabilistic Combinatorics) at UPC continues to produce influential work in these areas. Premi Albert Dou de la SCM Rué has successfully supervised multiple PhD students to completion, including Clément Requilé, Christoph Spiegel, Vasiliki Velona, and Maximilian Wötzel. His research has been supported through numerous competitive grants, including ERC projects, ExploreMaps, and participation in the Berlin Mathematical School. He has organized significant academic events such as EUROCOMB 2021 and various workshops on combinatorics and discrete mathematics. As leader of the GAPCOMB research group at UPC, Rué fosters collaboration between geometric, algebraic, and probabilistic approaches to combinatorial problems. The group maintains strong connections with international research centers including ICMAT in Madrid and institutions across Europe, contributing to the vibrant combinatorial research community in Spain and internationally.

Oriol Serra AlboView profile

Professor

• 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
• +3 more

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 VeraView profile

Professor

• Fluid Mechanics
• Numerical Analysis
• Partial Differential Equations
• +4 more

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
• +6 more

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
• +2 more

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
• +3 more

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)
• +7 more

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
• +3 more

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
• +1 more

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.

Matteo BonforteView profile

Professor

• Nonlinear Partial Differential Equations
• Nonlocal Partial Differential Equations
• Functional Inequalities
• +3 more

Matteo Bonforte is a Full Professor at the Department of Mathematics, Universidad Autónoma de Madrid, and a faculty member of the Institute of Mathematical Sciences (ICMAT). He co-leads the research group PID2023-150166NB-I00 on Nonlinear PDEs and has co-organized major events like the 2023 Thematic Period on PDEs in Madrid. He serves on the editorial board of Nonlinear Analysis: Real World Applications . Current Position: Full Professor, Universidad Autónoma de Madrid Research Focus: Nonlinear/nonlocal PDEs, functional inequalities, entropy methods Key Grants: Spanish government-funded research group PID2023-150166NB-I00 His research spans asymptotic behavior, Harnack inequalities, regularity theory, and geometric applications of nonlinear diffusion. Recent work includes fractional porous medium equations and time-fractional models. His publications (over 50) emphasize quantitative estimates and stability in inequalities. Notable collaborations include Alessio Figalli, Gabriele Grillo, and Juan Luis Vázquez. He teaches advanced courses in calculus, partial differential equations, and mathematical analysis at both undergraduate and master's levels.

Oriol SerraView profile

Professor

• Combinatorics
• Graph Theory
• Combinatorial Number Theory
• +5 more

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 ZwiernikView profile

Associate Professor

• Graphical Models
• Covariance Matrix Estimation
• Convex Analysis
• +7 more

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
• +4 more

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.