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Manuel de Miguel SánchezView profile

Professor

• Architectural History
• Heritage Conservation
• 3D Modeling & Digital Heritage
• +3 more

Manuel de Miguel Sánchez is a Professor at the Department of Architecture at the University of Alcalá. His research focuses on architectural heritage conservation, historical construction techniques, and the application of digital tools like 3D modeling and printing for accessibility. He leads the research groups IMArq Imagen, Métrica y Arquitectura and SUSTAINABLEBUILTHERITAGE , exploring intersections between image, metrics, architecture, and sustainable heritage preservation. He holds a PhD from the University of Alcalá with a thesis on Veinte años de bienales españolas de arquitectura y urbanismo: vanguardia y difusión de la arquitectura (2014), supervised by Dr. María Pilar Luisa Chías Navarro. His work spans architectural history, structural analysis of historical buildings (e.g., Roman vaults, Spanish wooden ceilings), and innovative educational methods integrating geometry and mathematics. Recent publications highlight his focus on 3D technology for heritage democratization (e.g., tactile models for visually impaired individuals), geometric analysis of historical structures, and spatial planning in healthcare facilities. He emphasizes interdisciplinary approaches, linking architecture with mathematics, engineering, and social inclusion. No scientific awards are explicitly mentioned in the provided texts. His advisory and grants activity remains unspecified. He collaborates on projects such as digital modeling of buildings like the Carmen Calzado edifice at his university and analyses of cultural landscapes in Spain, including wind energy impact studies on the Camino de Santiago.

• 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.

Juan Jose Gonzalez de la RosaView profile

Professor

• Higher Order Statistics
• Power Quality
• Computational Intelligence
• +6 more

Dr. Juan Jose Gonzalez de la Rosa is a Full Professor in Electronics at the University of Cadiz, Spain, where he founded and leads the Research Group in Computational Instrumentation and Industrial Electronics (PAIDI-TIC-168). His academic career includes a Ph.D. in Industrial Engineering from the University of Cadiz (1999) and an M.Sc. in Physics-Electronics from the University of Granada (1992). His research focuses on Higher Order Statistics (HOS), Power Quality assessment, and computational intelligence applications in measurement systems. He has made significant contributions to termite detection through vibratory signal analysis, power quality event classification, and acoustic emission signal processing for industrial applications. His work bridges theoretical signal processing techniques with practical engineering solutions. His publication record shows consistent output in high-impact journals, with research trends emphasizing the application of Independent Component Analysis (ICA), wavelet transforms, and higher-order statistics to solve challenging signal processing problems in diverse domains from power systems to biological signal analysis. His work demonstrates particular strength in developing methods that function effectively under low signal-to-noise ratio conditions. Four recognitions in Communication Engineering by Spanish Government Recognition in Computation by Spanish Government Recognition in Electronics by Spanish Government Knowledge Transfer Recognition by Spanish Government As founder of the Computational Instrumentation and Industrial Electronics research group, he has established a productive research environment focused on applying advanced signal processing techniques to industrial measurement challenges. His work on power quality assessment systems and termite detection technologies demonstrates practical applications of his theoretical contributions.

• Bioinorganic Chemistry
• Metal Complexes in Anticancer Therapy
• DNA and RNA Interactions
• +3 more

Natalia Busto Vázquez is a researcher at the University of Burgos, with a focus on bioinorganic chemistry and metal-based anticancer agents. She collaborates extensively on projects involving metal complexes' interactions with nucleic acids, particularly G-quadruplex structures. Research Interests: DNA/RNA binding, G-quadruplex targeting, platinum/ruthenium complexes, and fluorescence probes for biomedical applications. Collaborations: Frequent co-author with Begoña García Ruiz, Cristina Pérez Arnáiz, and other researchers in the field of metallopharmaceuticals. Publication Trends: Recent work explores the role of ligand modifications in enhancing cytotoxicity, photodynamic therapy applications, and biocidal activity of transition metal complexes.

PABLO VAZQUEZ REGUEIROView profile

Professor

• Particle Physics
• High Energy Physics
• Atomic, Molecular and Nuclear Physics
• +5 more

Pablo Vazquez Regueiro is a Professor at the Faculty of Physics, Department of Particle Physics, University of Santiago de Compostela. He is affiliated with the Galician Institute of High Energy Physics (IGFAE) and the GAES High Energy Physics Group. Education: Ph.D. from University of Santiago de Compostela (2000) - Thesis: Development and construction of electronics for microstrip detector readout Research Interests: His work focuses on experimental particle physics, including detector technology, microstrip electronics, and high-energy collision analysis. Key contributions involve CP violation studies, baryon spectroscopy, and trigger system development. Scientific Contributions: His publications highlight expertise in LHCb collaborations, detector simulation, and data analysis techniques. Research spans Higgs boson properties, dark matter searches, and hadronization mechanisms. Labs & Teams: Actively participates in IGFAE and GAES High Energy Physics Group activities, contributing to international collaborations like LHCb.

Anna De Mier VinueView profile

Associate Professor

• Combinatorics
• Graph Theory
• Matroid Theory
• +3 more

Anna De Mier Vinue is an Associate Professor at the Department of Mathematics, Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB). She leads research in combinatorics, graph theory, and matroid theory as part of the UPC's GAPCOMB research group (Geometric, Algebraic and Probabilistic Combinatorics). Her work focuses on structural combinatorics, polynomial invariants, and discrete geometry. Education: Holds a PhD in Applied Mathematics from UPC. Research Interests: Combinatorial enumeration, graph polynomials (Tutte, U-polynomials), matroid representations, non-crossing structures, and algorithmic combinatorics. Her contributions bridge algebraic methods with geometric and probabilistic approaches. Publications: Over 77 works including articles in Discrete Mathematics, European Journal of Combinatorics, and SIAM Journal on Discrete Mathematics. Recent research explores marked graphs, Tutte polynomial evaluations, and lattice approximations in clutter theory. Active in international projects like COCOA and R+D+I initiatives. Grants & Collaborations: Co-leads projects on extremal combinatorics, geometric algorithms, and mathematical education. Collaborates with researchers from BarcelonaTech and international institutions. Involved in initiatives addressing gender equality in STEM education through statistical analysis. Labs/Teams: Core member of the UPC's GAPCOMB group, contributing to interdisciplinary projects at the Institut de Matemàtiques de la UPC-BarcelonaTech. Supervises research in combinatorial geometry and algebraic structures.

• Theoretical Physics
• Mathematical Physics
• General Relativity
• +4 more

Eduardo Jesús Sánchez Villaseñor is an Associate Professor in the Department of Mathematics at Universidad Carlos III de Madrid since 2009. He holds a PhD in Theoretical Physics from Universidad Complutense de Madrid (2001). His research focuses on mathematical and theoretical physics, with emphasis on classical and quantum aspects of general relativity, field theory, statistical mechanics, and combinatorics. He has contributed extensively to topics like gravitational theories with boundaries, loop quantum gravity formulations, and geometric approaches to spacetime symmetries. Education: PhD in Theoretical Physics, Universidad Complutense de Madrid (2001) Bachelor's degree in Computer Science with courses in Calculus and Discrete Mathematics (UC3M) Research Interests: His work bridges theoretical physics and mathematics, addressing foundational questions in general relativity (e.g., Palatini formalism, nonmetricity, torsion), quantum gravity (loop quantization, black hole entropy), and combinatorial structures (permutations, recurrence relations). Recent efforts explore edge observables in gauge theories and geometric diffusion phenomena. Publications: His 15 most recent articles (2021–2025) reflect a focus on gravitational theories with boundaries, geometric constraint formulations, and topological field theories. Key themes include equivalence of phase space approaches, self-dual gravity formulations, and Dirac’s algorithm in boundary contexts. Teaching: He teaches courses including Perturbation Methods (Master’s level), Calculus , and Discrete Mathematics at UC3M. His pedagogical materials emphasize applications of advanced mathematical techniques to physics problems. Labs/Teams: Collaborates actively with researchers like F. Barbero, J. Margalef-Bentabol, and V. Varo, focusing on gravitational and mathematical physics projects. His work is supported by institutional research portals at UC3M.

• Mathematics
• Complex Analysis
• Functional Analysis
• +3 more

Joan Josep Carmona Domenech is an Associate Professor in the Department of Mathematics at the Universitat Autònoma de Barcelona (UAB). He holds a Ph.D. in Mathematics from the Universitat de Barcelona (1982) and has held academic positions including Profesor Titular at UAB (1985-1992). His research focuses on complex analysis, functional analysis, and harmonic analysis with applications to signal processing. Key contributions include studies on polynomial modules, gamma functions, and geometric properties of plane curves. Research interests span rectifiable curves, polynomial approximation theories, and integral formulas. He has led or participated in multiple research projects funded by Spanish ministries, including 'Diversos aspectos de la teoría de funciones y aplicaciones' (2009-2012) and earlier projects on function theory and signal analysis. His work bridges pure mathematics with applied domains like signal digitization.

Carlos Paredes BartolomeView profile

Associate Professor

• Fractal Geometry in Earth Sciences
• Coastal Cliff Recession Modeling
• Volcanic and Seismic Hazard Analysis
• +4 more

Carlos Paredes Bartolome is a Spanish Associate Professor at the Department of Geological and Mining Engineering within the Technical University of Madrid's School of Mining Engineering . His research integrates fractal geometry with structural geology to analyze complex earth systems. Active since 1999 (Titular Universidad) Member of Ingeniería de Georrecursos y Modelización research group since 2008 Key research areas include: Fractal analysis of fault distributions Volcano-tectonic interactions Coastal cliff recession modeling Rockfall susceptibility mapping CO2 geological storage characterization Historical photogrammetry applications His most recent work focuses on: Tsunami impact simulations Ground deformation monitoring Morphometric analysis of karst depressions Stress field reconstruction Caldera collapse dynamics Three-dimensional fracture network modeling Contact: carlos.paredes@upm.es

Jesús Martínez FrutosView profile

Professor

• Computational Mechanics
• Soft Robotics
• Topology Optimization
• +5 more

Jesús Martínez Frutos is a Professor specializing in computational mechanics and soft robotics, with a strong focus on integrating machine learning with multiphysics simulations. His research bridges constitutive modeling, topology optimization, and electroactive polymers to advance soft robotic systems and smart material design. His primary research domains include: Computational Mechanics (finite strain electromechanics, hyperelasticity) Physics-Informed Machine Learning (neural networks, Gaussian processes) Topology Optimization (lattice structures, band gap engineering) Soft Robotics (shape-morphing actuators, dielectric elastomers) Multiphysics Simulation (thermo-electro-mechanics, flexoelectricity) He pioneers methods for embedding physical constraints into data-driven models, particularly for nonlinear material behavior under large deformations. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trends: (1) Physics-augmented neural networks for constitutive modeling that enforce thermodynamic consistency; (2) Multi-material topology optimization for programmable electroactive structures; (3) Gradient-enhanced machine learning frameworks that capture material uncertainties. His work consistently targets real-world applications in soft robotics and energy-efficient actuation systems. Professor Martínez Frutos actively supervises graduate theses as indicated by his profile's dedicated section, though specific student names aren't listed. His research is supported by institutional funding referenced in the profile's funding section, with emphasis on computational methods for next-generation soft robotic systems. Current projects focus on 3D-printed dielectric elastomer actuators and probability-based optimization for safety-critical applications.

• Biomedical Signal Processing
• Respiratory Analysis
• Cardiovascular Monitoring
• +2 more

Daniel Romero Pérez is a Lecturer at the Department of Systems Engineering, Automation and Industrial Informatics within the Barcelona East School of Engineering (EEBE) at Universitat Politècnica de Catalunya (UPC). He maintains a research affiliation with the Institute for Bioengineering of Catalonia (IBEC) and leads projects in the BIOSPIN group focused on Biomedical Signal Processing and Interpretation. His research centers on biomedical signal processing with applications in respiratory/cardiac monitoring and disease diagnostics. Key interests include: Developing machine learning models for obstructive sleep apnea detection using ECG and respiratory signals Analyzing heart rate variability in cardiovascular disorders like Brugada syndrome Creating non-invasive respiratory monitoring systems for COPD patients Investigating hypoxia effects on cardiac electrophysiology Publication analysis (29 conference papers, 18 journal articles) reveals consistent focus on: Algorithm development for physiological signal interpretation Clinical validation of wearable sensors Multivariate modeling of cardiorespiratory pathologies Translational research bridging engineering and clinical medicine He collaborates extensively with European institutions on competitive R&D projects including 'Smart Health Ecosystem for Breathing Illnesses' and 'Unintrusive Remote Health Assessment'. Research outputs demonstrate strong emphasis on practical healthcare solutions with 16 open-access publications.

• 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.

Titouan CaretteView profile

Assistant Professor

• Quantum Computing
• Theoretical Computer Science
• Category Theory
• +3 more

Titouan Carette is an Assistant Professor at École Polytechnique, affiliated with the LIX computer science laboratory and a core member of the PhiQus project—a joint Inria initiative bridging LIX (Computer Science) and CPHT (Theoretical Physics). He also contributes to the BRCP research collective, focusing on theoretical quantum computing through category-theoretic frameworks. His research centers on diagrammatic reasoning for quantum systems, specializing in string diagrams and equational theories to model quantum processes. Key contributions include advancing the ZX-calculus for quantum circuit optimization and developing graphical languages for Gaussian quantum optics, symplectic structures, and fermionic systems. Current work unifies condensed matter physics with symbolic dynamics while formalizing relational interpretations of quantum mechanics through fact-nets . Analysis of his 15 most recent publications reveals a dominant focus on scalable diagrammatic methods for quantum computing, with 70% addressing ZX-calculus extensions and quantum information foundations. His work bridges abstract category theory with practical quantum engineering, emphasizing completeness proofs and graphical simplification techniques applicable to quantum hardware design. Carette operates within École Polytechnique's Alan Turing building in Palaiseau, collaborating through PhiQus to integrate computer science and theoretical physics. His outreach efforts actively promote diagrammatic methods in quantum computing education and research communities.

• Building Information Modeling (BIM)
• Computational Design
• Algorithmic Design
• +9 more

Alessandro Mattoccia is currently serving as an Adjunct Professor at IE School of Architecture and Design , where he teaches courses in Architectural Geometry and Applied Mathematics in Architecture . He also holds the position of Co-Director at Structuralia for the Master program in BIM and Smart Buildings , and serves as Professor for Programming applied to BIM at various institutions. Educational Background: Master degree in Building Engineering and Architecture - University of Pisa (2015, cum laude) International Master BIM Manager - Zigurat Global Institute of Technology (2016) Exchange programs at Technical University of Riga and Institute of Advanced Architecture of Catalonia (IAAC) Research Focus: Alessandro's primary research interests revolve around the intersection of computational design and Building Information Modeling (BIM) . He specializes in advanced modeling techniques , process automation , and data-informed geometry , combining programming expertise with architectural drafting to push the digital boundaries of design. His work particularly emphasizes sustainable strategies and energy modeling at both building and urban scales. His research extends to exploring vernacular architecture through information technology lenses, and he has contributed to urban-scale projects at IAAC, focusing on sustainable architectural prototypes through energy modeling approaches. Teaching Experience: Beyond his current roles, Alessandro has delivered educational content through: Lectures, workshops, and corporate training programs Teaching at ETSAM (Universidad Politécnica de Madrid) in Masters in Advanced Infographics Online courses on various educational and professional platforms Short courses including "Digital Autumn" at University of Pisa, "Geometrical Public Playground" at ETSAM, and "Computational Design and Fabrication Summer School" at University of Pisa Professional Roles: In addition to his academic positions, Alessandro is the Co-Founder of 50SuperReal studio (established 2016), where he serves as BIM Manager and computational expert , focusing on the automation of design and technical processes in architectural practice.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning
• +3 more

Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.