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Silvia NovoView profile

Assistant Professor

• Functional Data Analysis
• Semiparametric Regression
• Regularization Methods
• +2 more

Silvia Novo is an Assistant Professor at the Department of Statistics of Universidad Carlos III de Madrid. She holds a PhD in Statistics and Operations Research from Universidade da Coruña (2021) and previously obtained a Mathematics degree and MSc in Statistical Techniques from Universidade de Santiago de Compostela. As an Associate Editor of Computational Statistics, her research focuses on methodological advancements in functional data analysis, semiparametric regression, regularization techniques, quantile regression, and computational statistics. Education: Mathematics Degree, Universidade de Santiago de Compostela MSc in Statistical Techniques, Universidade de Santiago de Compostela PhD in Statistics and Operations Research, Universidade da Coruña (2021) Her publications demonstrate expertise in statistical learning with functional data, including novel approaches for combining partial-linear/single-index models with k-NN estimation, sparse regression for mixed functional/high-dimensional predictors, and automated location-adaptive estimation techniques. Recent work applies these methods to real-world problems like Tecator data analysis, emphasizing computational efficiency and interpretability. Editorial Role: Associate Editor at Computational Statistics.

Michael RaskinView profile

Lecturer

• Theoretical Computer Science
• Distributed Systems
• Algorithms
• +6 more

Michael Raskin is a Lecturer (maître de conferences) at LaBRI, University of Bordeaux, where he conducts research in theoretical computer science with a focus on distributed systems and formal methods. His work bridges theoretical foundations with practical implementations, particularly in population protocols, temporal graphs, and Petri nets. His research interests span Theoretical Computer Science , Distributed Systems , Algorithms , and Formal Methods , with specific expertise in population protocols, temporal graph analysis, vector addition systems, and verification techniques for parameterized systems. His publications demonstrate a consistent focus on computational complexity, state complexity, and threshold phenomena in distributed models. Recent publication trends show a strong emphasis on temporal graph theory (with multiple papers on random temporal graphs and giant components), population protocol analysis (including modular protocols and leaderless rendez-vous systems), and verification techniques for parameterized systems. His work often combines mathematical rigor with practical implementation insights. Raskin has developed significant software projects including: Agnostic Lizard - A portable code walker for Common Lisp QueryFS - A filesystem defined through compiled queries His technical contributions span both theoretical advances and practical systems implementation, with a recurring theme of applying programming language techniques to systems problems. His work on Common Lisp tools demonstrates a commitment to practical language implementation alongside theoretical research.

• Algebra
• Number Theory
• Cryptography
• +4 more

Anna Rio Doval is an Associate Professor in the Department of Mathematics at the Faculty of Informatics of Barcelona (FIB) at the Universitat Politècnica de Catalunya (UPC). She is a core member of the STNB (Seminari de Teoria de Nombres de Barcelona) research group, which serves as a hub for number theory research connecting UPC with Universitat de Barcelona and Universitat Autònoma de Barcelona. She earned her Mathematics Degree and Mathematics Doctorate from UPC, establishing a long academic career focused on theoretical mathematics with practical cryptographic applications. Her educational background laid the foundation for her expertise in algebraic structures and number-theoretic methods. Rio Doval's research spans Algebra, Number Theory, and Cryptography , with particular emphasis on Hopf-Galois theory, elliptic curves, and algebraic structures. Her work bridges abstract mathematical concepts with concrete applications in secure communications. Over her career, she has published more than 100 scholarly outputs across diverse formats including journal articles, conference presentations, books, and research projects, demonstrating remarkable productivity and sustained scholarly contribution. Analysis of her recent publications reveals a sophisticated evolution in her research focus, moving from foundational work on Galois representations and elliptic curves to more specialized investigations of Hopf-Galois structures and brace theory. Her current work explores the intricate relationships between algebraic structures of specific sizes (np, 8p) and their implications for field extensions, with applications to both theoretical mathematics and cryptographic implementations. While specific individual awards are not prominently documented in the available information, her sustained research productivity, leadership in the STNB research group, and consistent funding from competitive national and European research programs (including HORIZON 2020) indicate significant recognition within the mathematical community. Professor Rio Doval has maintained extensive collaborative networks throughout her career, with particularly strong partnerships with Teresa Crespo, Montserrat Vela, and Daniel Gil. She has contributed to numerous doctoral theses (including Daniel Gil's thesis on Hopf-Galois structures), though specific student names are not comprehensively listed in the available documentation. Her research funding includes multiple competitive grants from Spain's National Research Plans and Catalan research initiatives. As a key member of the STNB research group, she participates in a vibrant intellectual community that organizes regular seminars, workshops, and collaborative projects. The group's activities foster interdisciplinary connections between pure mathematics and applications in computer science, particularly in cryptographic implementations. Her involvement extends to educational innovation projects aimed at enhancing student engagement and integrating cutting-edge mathematical research into undergraduate and graduate curricula.

Jose Manuel Dominguez AlonsoView profile

Researcher

• Earth Physics
• Computational Fluid Dynamics
• Marine Engineering
• +4 more

Jose Manuel Dominguez Alonso is a researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Marine Research Center . His work focuses on Earth Physics and Smoothed Particle Hydrodynamics (SPH) applications in marine and renewable energy systems. He is part of the FA9 EphysLab research group at the Ourense campus. Education: PhD in Applied Physics from the University of Vigo (2014) under advisors Dr. Moncho Gómez Gesteira and Dr. Alejandro Jacobo Cabrera Crespo. His research explores fluid dynamics , off-shore wind turbines , wave energy converters , and fluid-structure interaction . He has developed DualSPHPhysics for high-performance computing in marine environments. His recent articles (2024-2025) emphasize teaching numerical modeling to students, 3D hydrodynamic analysis , and coupled simulation techniques . His work bridges computational methods with real-world marine engineering challenges like coastal protection and renewable energy optimization.

Fritz HengleinView profile

Professor

• Programming Languages
• Functional Programming
• Domain-Specific Languages (DSLs)
• +6 more

Fritz Henglein is a Professor at the Department of Computer Science, University of Copenhagen (DIKU), with affiliations also at Deon Digital. His career spans over three decades, with notable roles including Head of the Algorithms and Programming Languages (TOPPS) research group and Director of the HIPERFIT research center. Research interests include Programming languages and type systems Functional programming and DSLs High-performance computing Contracts and distributed ledger technology Algorithmic logic and formal semantics His work often bridges theoretical rigor with practical applications, particularly in financial information technology and compiler design. Collaborations include leadership in conferences like POPL, ICFP, and PEPM, with a focus on mentoring through academic events and community-building initiatives.

• Partial Differential Equations
• Calculus of Variations and Optimal Control
• Geometric Analysis
• +5 more

Jose Salvador Moll Cebolla is an Associate Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, University of Valencia. He is actively engaged in research within the Geometric Analysis Group U.V. (GAGUV) and the Nonlinear Partial Differential Equations (EDPNOL) research group. PhD, University of Valencia, 2005 His research focuses on nonlinear partial differential equations, calculus of variations, and geometric analysis. Key areas include total variation methods, 1-harmonic flows, flux-saturated diffusion, and phase-field models for materials science. His work bridges pure analysis with applications in image processing and material modeling. The recent publications highlight a strong trend in nonlinear diffusion equations, particularly those with singular or flux-limited behavior, as well as variational methods in imaging and geometric evolution equations. His work frequently involves existence, regularity, and qualitative behavior of solutions to highly nonlinear PDEs. No scientific awards are mentioned in the provided texts. He has collaborated extensively with researchers such as Lorenzo Giacomelli, José M. Mazón, Vicent Caselles, Fuensanta Andreu, Ken Shirakawa, and Francesco Petitta. There is no mention of grants or student advising in the available information. He is a member of the research groups GAGUV (Geometric Analysis Group U.V.) and EDPNOL (Nonlinear Partial Differential Equations), which focus on geometric PDEs and nonlinear evolution equations, respectively.

• Numerical analysis
• Partial differential equations
• Fluid mechanics
• +3 more

Antonio Miguel Márquez Durán is an Associate Professor in the Department of Economics, Quantitative Methods and Economic History at Universidad Pablo de Olavide in Seville, Spain. His academic career spans over three decades with significant contributions to numerical analysis and partial differential equations. His research focuses on developing and analyzing finite element methods for fluid mechanics, solid mechanics, and fluid-structure interaction problems. PhD from University of Seville (2005) Thesis: Contribution to the study of some models governed by non-autonomous and/or stochastic evolution equations Supervised by Dr. Tomás Caraballo Garrido and Dr. José Real Anguas Professor Márquez Durán's research interests center on numerical methods for partial differential equations , particularly finite element methods for fluid mechanics, solid mechanics, and fluid-structure interaction problems. His work often involves developing mixed formulations, analyzing error estimates, and studying the coupling of different physical models. He has made significant contributions to pseudostress-based formulations, Brinkman models, and non-autonomous/stochastic evolution equations. His research bridges theoretical mathematical analysis with practical computational applications in engineering and physics. His publication record shows a consistent focus on developing robust numerical methods for complex physical systems. Recent work emphasizes mixed-hybrid and discontinuous Galerkin methods for dynamical systems, coupling techniques between different numerical methods (VEM and BEM), and analysis of fluid-solid interaction problems. The research trajectory demonstrates increasing sophistication in handling time-dependent problems, nonlinearity, and multi-physics coupling. Professor Márquez Durán has established productive collaborations with leading researchers in computational mathematics, most notably Gabriel N. Gatica (24 joint publications) and Salim Meddahi (22 joint publications). His work has been cited 815 times across 465 documents, indicating significant impact in his field. He has published in top journals including Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Numerical Analysis, and IMA Journal of Numerical Analysis. His academic activities include extensive research collaboration, with 25 co-authors and 521 co-co-authors. While specific grant information isn't detailed in the provided materials, his sustained publication record suggests successful funding acquisition. Professor Márquez Durán appears to be an active member of the computational mathematics research community, contributing to both theoretical developments and practical applications of numerical methods.

Chiara AmorinoView profile

Assistant Professor

• Statistical inference for stochastic differential equations
• High-frequency data analysis
• Malliavin calculus
• +7 more

Chiara Amorino is an Assistant Professor at the Department of Economics and Business, Universitat Pompeu Fabra (Barcelona, Spain), starting April 2024. Prior to this role, she was a postdoctoral researcher at the University of Luxembourg (2020–2024), working under Prof. Mark Podolskij. She holds a PhD in Mathematics from Université Paris-Saclay (2020), supervised by Prof. Arnaud Gloter. Her research focuses on statistical inference for stochastic differential equations (SDEs), with particular emphasis on high-frequency data, Malliavin calculus, volatility estimation, and minimax theory. She also investigates McKean-Vlasov equations, Hawkes processes, and local differential privacy. Her work bridges theoretical statistics, probability, and applications in mathematical finance and data science. Amorino has taught courses such as 'Probability and Statistics' at UPF and 'Continuous Time Models in Mathematical Finance' at the University of Luxembourg. She has supervised multiple Master's and Bachelor's theses, including projects on kernel density estimation and stochastic processes. Her recent publications (2023–2025) emphasize parameter estimation in complex stochastic systems, leveraging techniques like Malliavin calculus and deconvolution. She actively contributes to academic conferences, including the Bachelier World Congress and the European Young Statisticians Meeting, and reviews for journals like Annals of Statistics and Stochastic Processes and Applications. Amorino collaborates with institutions globally and leads research initiatives on topics like nonparametric estimation in McKean-Vlasov SDEs and privacy-aware statistical methods.

• Systems Theory
• Control Theory
• Commutative Algebra
• +3 more

Andrés Sáez Schwedt is a Full Professor (Profesor Titular de Universidad) in the Department of Mathematics at the University of León, Spain, affiliated with the School of Industrial, Information and Aerospace Engineering. His academic work focuses on applied mathematics with specialization in systems theory and control. Dr. Sáez Schwedt earned his doctorate from the University of Valladolid in 2000 with a thesis titled "Classification of 2-dimensional linear dynamic systems over commutative rings," supervised by Dr. Tomás Sánchez Giralda. His educational background demonstrates strong foundations in algebraic structures applied to dynamic systems. His research interests center around mathematical control theory, particularly the intersection of algebra and systems engineering. He has made significant contributions to understanding linear systems over rings, with particular emphasis on von Neumann regular rings. His work explores fundamental problems in control theory including feedback classification, pole assignability, cyclic accessibility, and the regulator problem for systems over algebraic structures. His publication record shows a consistent research trajectory focused on applying algebraic methods to control theory problems. The most recent publications (2021-2015) continue his exploration of linear systems over von Neumann regular rings, while earlier works (2007-2010) established foundational results in feedback cyclization and coefficient assignability. His research demonstrates a strong connection between abstract algebra and practical control theory applications. Dr. Sáez Schwedt has published 12 research papers since 2002, primarily in high-impact mathematics journals such as Linear Algebra and its Applications. His work has been cited 16 times across 9 documents, indicating recognition within the mathematical control theory community. He maintains an active collaboration network, most notably with Tomás Sánchez Giralda (7 joint publications), Miguel V. Carriegos (2), José Angel Hermida Alonso (2), and Wiland Schmale (1). This collaborative approach has enabled him to address complex problems at the intersection of algebra and control theory from multiple perspectives.

• High-energy particle phenomenology
• Quantum computing for scattering amplitudes
• Loop-tree duality
• +3 more

Germán Rodrigo is a tenured Research Professor at the Instituto de Física Corpuscular (IFIC) , a joint centre of the Spanish National Research Council (CSIC) and the University of Valencia . After earning his PhD in 2003 under Arcadi Santamaria, he held post-doctoral positions at KIT Karlsruhe and CERN before returning to Valencia in 2008. He currently leads the quantum–phenomenology group within the theoretical physics department. His research straddles high-energy collider phenomenology and quantum computing. Rodrigo is internationally recognised for turning multi-loop Feynman integrals into causal, loop-tree-dual forms and for implementing the resulting algorithms on real quantum hardware. Key achievements include the first quantum calculation of loop integrals, quantum jet clustering at the LHC, and quantum amplitude estimation with error mitigation. Recent work (2022-2025) focuses on: Quantum integration of decay rates and fragmentation functions Graph-based quantum algorithms for causal multi-loop configurations Adaptive importance sampling on quantum annealers and gate-based devices Factorisation-breaking studies in triple-collinear splitting with massive partons He advises three doctoral students and is PI on a national Spanish grant supporting the group’s quantum-technologies programme. No personal e-mail is publicly listed; contact is handled through the IFIC secretariat.

• Theoretical Physics
• Quantum Theory
• Relativity and Gravitational Theory
• +7 more

Jose Navarro Salas is a Professor in the Department of Theoretical Physics at the Faculty of Physics, University of Valencia. He is affiliated with the Institute of Corpuscular Physics (IFIC) and leads research in the QBHSC group focused on Quantum Black Holes, Supergravity, and Cosmology. His academic career is deeply rooted in mathematical and theoretical physics, with a PhD from the University of Valencia in 1989. His research interests span Theoretical Physics , Quantum Gravity , Black Hole Physics , Supergravity , Cosmology , and String Theory . His work often bridges quantum field theory in curved spacetime with gravitational phenomena, particularly in low-dimensional models and holography. The analysis of his recent publications reveals a strong focus on black hole thermodynamics, AdS/CFT correspondence, quantum anomalies, and the role of the Planck scale in gravitational phenomena. His work contributes significantly to understanding Hawking radiation, entropy, and quantum evolution in extremal and near-extremal black holes. He has received no explicitly mentioned scientific awards in the provided texts, but his extensive publication record in top journals like Nuclear Physics B , Classical and Quantum Gravity , and Physical Review Letters underscores his scholarly impact. Navarro Salas has collaborated with prominent physicists such as Iván Agulló, Alessandro Fabbri, Victor Aldaya, and Leonard Parker. While specific advisees are not listed, his long-standing position and research activity suggest mentorship roles. He has no known part-time appointments and is actively contributing to theoretical physics. He is a member of the QBHSC research group and affiliated with IFIC, a joint center of the University of Valencia and CSIC, indicating strong institutional support for collaborative and interdisciplinary research in fundamental physics.

• Biomedical Signal Processing
• Embedded Systems
• FPGA Hardware Implementation
• +7 more

Jose Vicente Frances Villora is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is an active researcher in digital systems and biomedical signal processing, with a strong focus on real-time embedded systems and hardware acceleration. His research interests include: Biomedical Signal Processing, particularly ECG and microelectrode recordings FPGA-based hardware implementation of neural networks and real-time algorithms Machine learning applications in healthcare, including arrhythmia detection and Parkinson’s disease treatment Neuromorphic computing and spiking neural networks Digital signal processing in embedded and real-time systems The analysis of his recent publications (2017–2015) reveals a consistent focus on leveraging machine learning—especially KNN and neural networks—for clinical applications such as ventricular fibrillation detection and deep brain stimulation. A significant portion of his work emphasizes hardware implementation on FPGAs, aiming to achieve real-time performance and low resource consumption in medical and robotic systems. He has contributed to educational materials, including textbooks and OCW resources, and supervises academic theses. While no specific scientific awards are mentioned in the provided text, his sustained publication output and integration of theory with hardware systems underscore his technical expertise. He advises students in thesis work and has supervised doctoral research, though specific student names are not listed. His research is supported by practical applications in medical diagnostics and robotics, and he is affiliated with the GPDD (Group for Digital Design and Processing), which focuses on digital system design and processing. He is actively involved in laboratory development, including a remote laboratory for industrial robots, and his team works on co-design environments for neural network hardware, FPGA acceleration, and real-time biomedical systems.

• Economics of Education
• Health Economics
• Labor Economics
• +3 more

María Luisa Hidalgo Hidalgo serves as Full Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University, Spain. Her research integrates health, education, labor markets, and environmental factors within economic frameworks, focusing on human capital development and policy impacts. She earned her Doctorate from the University of Alicante in 2006 with the thesis "Essays on human capital accumulation and its public provision" under Dr. Iñigo Iturbe-Ormaetxe Cortajarena. Her educational background established foundations for her current work in public provision of human capital. Dr. Hidalgo Hidalgo's research spans: Economics of Education : Remedial interventions, tracking systems, and gender-specific educational outcomes Health Economics : Causal relationships between education and adult health Gender Economics : Women's education impacts on political representation Poverty Studies : Long-term effects of public expenditure on poverty reduction Her methodological approach emphasizes rigorous econometric identification to establish causal mechanisms. Analysis of her 2014-2025 publications reveals consistent focus on educational equity, gender gaps in political participation, and effectiveness of school interventions. Recent work increasingly examines intersectional impacts of policy across health, education, and labor domains using European and Spanish datasets, with growing emphasis on gender-differentiated outcomes. No scientific awards were documented in available sources. She supervises academic theses as indicated in her institutional profile, though specific student names and grant details remain unreported in the source material. Her advising focuses on human capital formation and policy evaluation. As leader of the "WELL-BEING ECONOMY" research group, she directs collaborative investigations into health, education, labor market, and environmental economics, fostering interdisciplinary policy-relevant scholarship through regular team workshops and data-sharing initiatives.

• 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.