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 .
Pablo Cerda Duran is an Associate Professor at the Universitat de València, affiliated with the Faculty of Physics, Department of Astronomy and Astrophysics. He is a member of the Computational Astrophysics and Cosmology (CompAC) research group and previously contributed to the Computer Aided Modeling of Astrophysical Plasma (CAMAP) group. He earned his PhD in 2006 with a thesis on the general relativistic collapse of rotating stellar cores under the supervision of Dr. José Antonio Font Roda. His research lies at the intersection of numerical relativity, computational astrophysics, and high-performance computing. He specializes in developing and applying numerical methods to simulate extreme astrophysical phenomena, particularly involving compact objects such as neutron stars and black holes. His work includes general relativistic hydrodynamics and magnetohydrodynamics, Einstein’s equations, and instabilities in rotating stars. The body of his recent publications reveals a strong focus on algorithmic innovation in numerical relativity—such as implicit time integration schemes, constrained evolution formulations, and iterative solvers—applied to problems in relativistic astrophysics. His simulations span core collapse, neutron star instabilities, and boson star dynamics, often in the context of gravitational wave sources. Email: pablo.cerda@uv.es His scientific contributions appear in leading journals like Classical and Quantum Gravity , Journal of Computational Physics , and Astronomy & Astrophysics . Although no formal awards are listed, his sustained publication record and collaborative network indicate significant recognition in the field. He has co-authored works with prominent figures such as José Antonio Font, Miguel-Ángel Aloy, and Eric Gourgoulhon. Pablo Cerda Duran leads and contributes to advanced computational modeling efforts, advancing the simulation capabilities of relativistic systems. His work continues to support the theoretical interpretation of gravitational wave signals and high-energy astrophysical events.
Carlos Agelet de Saracibar Bosch is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Material Resistance and Engineering Structures (ETSECCPB). He is part of the MMCE and (MC)² research groups, focusing on computational mechanics, finite element analysis, and nonlinear material models. His expertise spans advanced manufacturing processes like Friction Stir Welding (FSW) and Additive Manufacturing. He has authored over 380 publications, including books, journal articles, and conference papers on topics such as material behavior modeling, numerical simulation of manufacturing processes, and contact mechanics. Education: Degree in Civil Engineering (Ing de Caminos, Canales y Puertos), Doctorate in Engineering, and postgraduate studies in numerical methods. He collaborates with the CIMNE (International Center for Numerical Methods in Engineering) and holds ORCID, Scopus, and Researcher ID identifiers. Research interests include the development of advanced numerical methods for simulating complex mechanical processes, particularly in the context of industrial applications. His work emphasizes improving computational efficiency and accuracy in modeling material deformation, residual stresses, and process optimization. Projects include collaborations on laser-based manufacturing technologies and the implementation of Additive Manufacturing in aerospace components. His contributions to the field are reflected in his extensive publications, which analyze FSW challenges, nonlinear material models, and the integration of numerical methods with experimental validation. Key areas of focus include the development of constitutive laws for porous metals and the prediction of thermal-mechanical behaviors in welding processes.
Antonio Javier Morales Rondán is an Associate Professor of Egyptology in the Department of History and Philosophy at the University of Alcalá (UAH), Spain. He is the director of the University of Alcalá archaeological expedition to Egypt, known as the Middle Kingdom Theban Project, focused on Deir el-Bahari and Asasif. He earned his PhD from the University of Pennsylvania in 2013 under the supervision of David P. Silverman, James P. Allen, and Harold Hays. PhD, Near Eastern Languages and Civilizations, University of Pennsylvania (2013) Postdoctoral Fellow, Heidelberg Universität (2013–2014) Lecturer, Institute of Egyptology, Freie Universität Berlin (2014–2017) Ramón y Cajal Fellow, University of Alcalá (2017–) Associate Professor, University of Alcalá (current) His research centers on the history, religion, language, and literature of Old and Middle Kingdom Egypt, with a focus on the First Intermediate Period and early Middle Kingdom. His expertise includes the transmission and adaptation of mortuary texts, particularly the Pyramid Texts, kingship ideology, ritual theory, and the socio-political transformations of the period. He combines traditional philological methods with archaeological fieldwork and digital approaches to textual analysis and reconstruction. His recent publications and projects reflect a strong trend in interdisciplinary Egyptology, integrating excavation reports, digital modeling, and textual criticism. The Middle Kingdom Theban Project has produced annual preliminary reports in Studien zur Altägyptischen Kultur , alongside studies on virtual reconstruction and ritual theory. His work spans from early dynastic textual fragments to Ptolemaic funerary practices, demonstrating a comprehensive chronological and methodological range. He has received research funding from institutions such as the Fundación Palarq and the Asociación Española de Egiptología. He has served as principal investigator for multiple projects, including The Middle Kingdom Theban Project: excavación, documentación y publicación de tumbas de las dinastías XI y XII en Asasif y Deir el-Bahari (2023–2024). He supervises graduate students in Egyptology and Ancient History, including Begoña Gugel Gironés and Beatriz Noria Serrano. He is also a co-editor of the Monografías de Oriente Antiguo (MOA) series and has contributed to digital Egyptology through projects like the Handbook of Digital Egyptology: Texts . His research group, CIARQ - Ciencias en la Arqueología , focuses on innovative resources in architecture, botany, geology, medicine, and chemistry for recovering the past, reflecting his interdisciplinary approach to archaeology and heritage management.
Ricardo Javier Principe Rubio is a Researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona East School of Engineering (EEBE) and the Department of Fluid Mechanics. He is a key member of the ANiComp (Numerical Analysis and Scientific Computing) and (MC)² (Computational Mechanics in Continuous Media) research groups. His work bridges high-performance computing, fluid dynamics, and numerical methods, with applications in fusion technology, environmental engineering, and nanomaterials. His research focuses on advanced computational techniques, including finite element methods, uncertainty quantification, and parallel algorithms for large-scale simulations. Recent projects involve anisotropic mesh adaptation, multilevel Monte Carlo methods, and stabilized formulations for multiphase flows. Principe actively contributes to UPC's scientific software ecosystem, notably through the FEMPAR framework for parallel finite element modeling. Awards include the Premi Extraordinari de doctorat 2010 for outstanding doctoral research. He leads/participates in competitive R&D projects funded by Catalan and EU programs, such as EXAscale Quantification of Uncertainties for Technology and Science Simulation (EXAQUAT). Collaborative networks span Barcelona Supercomputing Center and international consortia.
Luciano Dyballa is an Assistant Professor at IE University (2024–present). He holds a Ph.D. in Computer Science from Yale University (2021), an M.S. from both Yale and the Federal University of Rio de Janeiro (2018 and 2015), and a B.S. in Chemical Engineering from the Federal University of Rio de Janeiro (2008). His research bridges biological and artificial intelligence, focusing on neural networks, computational neuroscience, and machine learning. He has collaborated with leading labs at UCSF, UCLA, and UMass during his Swartz Postdoctoral Fellowship (2021–2024). Previously, he worked as a process engineer at Petrobras (2009–2013) and taught at Yale (2016–2020). His work explores mechanisms underlying real and artificial intelligence, with publications in Proceedings of the National Academy of Sciences and Neural Computation . Research interests include manifold learning, neural encoding, and cross-disciplinary applications in vision science. He actively participates in conferences like COSYNE, ICLR, and MODVIS. Dr. Dyballa aligns with UN Sustainable Development Goals 9 (Infrastructure), 11 (Sustainable Cities), and 12 (Responsible Consumption), emphasizing innovation and ecological relevance in his work.
Jaume Ametller Leal is an Associate Professor in Science Education at the Universitat de Girona, affiliated with the Faculty of Education and Psychology and the Department of Didàctiques Específiques. He is also the Director of the Department of Didàctiques Específiques and the Director of the Josep Pallach Institute of Educational Sciences. Previously, he was a Lecturer in Science Education at the University of Leeds for ten years before joining UdG in 2013 under the Serra Hunter program. He teaches in the Primary Education Teacher Degree and the Master’s in Secondary Teacher Training, and has coordinated the Primary Education degree (2012–2016). He currently leads the MIF program for improving initial teacher training in Catalonia. His research focuses on the design and evaluation of teaching-learning sequences, classroom discourse, multimodal communication, and teacher training using video analysis. He is a member of the GRECA research group and employs methodologies such as Design-Based Research and Cultural-Historical Activity Theory. His work bridges theory and practice, emphasizing research-informed curriculum development and ethical considerations in science education. His recent publications (2020–2024) highlight trends in research-based teaching sequences, digital technology integration, dialogic education, and ethical research practices. These works reflect a strong commitment to improving science education through evidence-based design, collaborative research, and innovation in pedagogy. ORCID: 0000-0002-9289-6718 ResearchGate: https://www.researchgate.net/profile/Jaume_Ametller Personal Research Website: https://jaumeametller.cat Twitter: https://twitter.com/JaumeAmetller1 He has been involved in numerous research projects on ICT in classrooms, curriculum impact on student choices, and teacher professional development. His leadership in the MIF program and the GRECA group underscores his influence in shaping science education policy and practice in Catalonia. He is actively engaged in postgraduate teaching and research methodology training, particularly in qualitative methods involving video data. His collaborations span international institutions, and he contributes to symposia and academic discourse on physics and science education research.
María Isabel Alfonso Galipienso is a full-time University Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante, Spain, and a member of the University Institute of Computer Research (IU of Computer Research). She has held significant administrative roles, including Director of her department from 2012-2016 and Sub-director from 2005-2012. Education PhD in Computer Engineering, University of Alicante (2001) Graduate in Computer Science, Polytechnic University of Valencia (1991) Research Interests Her research spans Software Engineering , Artificial Intelligence , Constraint Satisfaction Problems , and Educational Technology . She focuses on developing scheduling algorithms, agile software processes, and innovative pedagogical approaches for teaching computer science and engineering courses, often integrating real-world projects and collaborative learning techniques. Across her publications and projects, a clear trend emerges toward bridging theoretical AI methods with practical software engineering education . Her early 2000s journal articles introduced hybrid CSP-based scheduling techniques, while later conference papers and books translated these insights into iterative, student-centered curricula and group-based learning frameworks. Scientific Awards No specific scientific awards or fellowships are recorded in the provided documents. Advising & Grants Directed or co-directed 1 undergraduate/master’s thesis in the last five years. Participated as collaborator in 8 competitive public research projects (2012-2016), funded by Spanish Ministries of Economy and Education, focusing on robotics, SLAM, and vision-based systems. Contributed to one technology-transfer project developing a research portal for accounting and business administration entities (2004-2005). Labs & Teams She is affiliated with the IU of Computer Research at the University of Alicante, collaborating in multidisciplinary teams that integrate robotics, computer vision, and educational innovation.
Antonio Illana Martos is a Full Professor at the University of Cádiz, Spain, affiliated with the Department of Industrial Engineering and Civil Engineering within the School of Engineering. His research focuses on Mechanical Engineering, particularly in the areas of Modeling and Simulation. He is a member of the TIC168 Computational Instrumentation and Industrial Electronics (ICEI) research group and his work falls under PAIDI Areas of Information and Communication Technologies. Dr. Illana Martos earned his PhD from the University of Cádiz in 2005 with a thesis titled "Analysis, validation and development of the 'successive element release method'. Application to manipulator robots," supervised by Dr. Ignacio Fernández de Castillo y Valderrama. His doctoral work examined the "Method of Successive Element Liberation" (MLSE), an iterative optimization method for solving inverse kinematics problems in robotic manipulators. His research interests span across Mechanical Engineering , Finite Element Analysis , Robotics , and Structural Mechanics . Dr. Illana Martos has made significant contributions to the understanding of wire rope mechanics, particularly the 33x6x19s steel cable configuration, using advanced CAD modeling and numerical simulation techniques. His work in kinematics of planar mechanisms has provided valuable educational resources for engineering students, and he has developed innovative solutions for container handling systems and cable management. His research demonstrates a strong emphasis on applying computational methods to solve complex engineering problems. Analysis of Dr. Illana Martos' publication record reveals a consistent focus on mechanical systems analysis, particularly in structural mechanics and robotics. His early work centered on robotics and kinematic analysis, while more recent publications have focused on practical applications in material handling, wire rope mechanics, and structural analysis. His research demonstrates a strong emphasis on applying computational methods to solve complex engineering problems, with a particular specialty in finite element modeling of mechanical systems. Dr. Illana Martos has contributed to several research projects, including those supported by MINECO (project TEC2017-86102-C2-2-R) and the Junta de Andalucia (research group PAI TEP-946 INNANOMAT). His work has practical applications in industrial settings, particularly in material handling systems and structural analysis of mechanical components. As a member of the TIC168 Computational Instrumentation and Industrial Electronics research group at the University of Cádiz, Dr. Illana Martos collaborates with researchers in the fields of computational mechanics, industrial electronics, and instrumentation. This research environment supports his work in numerical simulation and mechanical systems analysis, with applications spanning from robotics to industrial cable systems.
Sergio Antonio Cruces Álvarez is a Professor of Signal Processing and Communications at the University of Seville, Spain, affiliated with the Signal Theory and Communications Department and leading the TIC-246 Research Group (Machine Learning Technologies and Digital Information Processing). His work bridges statistical signal modeling, data-driven learning, and applications in brain-machine interfaces and nonlinear behavioral modeling .
Eva María Arias de Reyna Domínguez serves as a Full Professor in the Department of Signal Theory and Communications at the University of Seville. Her research is centered within the Signal Processing and Communications research group (TIC-155), where she has led numerous national and international projects focused on advanced signal processing techniques for wireless communications and localization systems. Her research interests span Signal Processing , Wireless Communications , and Ultra-Wideband Localization , with particular expertise in Expectation Propagation algorithms, UWB signal processing, and crowd-based learning for IoT applications. Her work bridges theoretical signal processing with practical implementations in digital communications and indoor positioning systems. Analysis of her 15 most recent publications reveals a consistent focus on Expectation Propagation techniques for digital communications (constituting 40% of recent work), UWB localization algorithms (30%), and channel equalization methods (20%). Her research demonstrates a progression from fundamental signal processing algorithms toward IoT-integrated spatial field estimation and machine learning applications. She has advised doctoral student Irene Santos Velazquez (2018 thesis on Expectation Propagation for digital communications) and participated in significant research projects including ATENEA (Artificial Intelligence for Art Fabric Analysis), Finite-Length Iterative Decoding, and multiple national grants under Spain's TEC and CSD programs. Her laboratory work centers on the Signal Processing and Communications research group, which has received continuous consolidation funding from 2005-2017.
Azahar Monge is a Researcher at University of Deusto working on the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (UAM and DeustoTech). Her research focuses on numerical analysis of Partial Differential Equations with applications to thermal fluid-structure interaction problems. Her educational background includes: PhD in Numerical Analysis from Lund University, Sweden (2013-2018) Licentiate Degree in Numerical Analysis from Lund University, Sweden (2013-2016) Erasmus Mundus MSc MATHMODS: Mathematical Modelling in Engineering (2011-2013) Bachelor's Degree in Mathematics from Autonomous University of Barcelona, Spain (2007-2011) Monge's research expertise spans domain decomposition methods , time adaptive multirate time integration , and partitioned simulation techniques for thermal fluid-structure interaction. Her current work is expanding into inverse design of time-irreversible models using optimal control approaches. Her publications demonstrate strong theoretical analysis combined with practical engineering applications, particularly in convergence properties of iterative methods for coupled problems. Monge has served as Teaching Assistant for multiple computational mathematics courses at Lund University including Computational Part for Chemical Engineering, Numerical Part of Calculations in Biotechnology, and Computational Mathematics with Python. Her technical skills encompass advanced numerical methods implementation and analysis for complex multiphysics problems.
Eduardo Colorado Heras is a Full Professor in the Department of Mathematics at Charles III University of Madrid (UC3M), affiliated with the research group Ecuaciones Diferenciales y Aplicaciones (Differential Equations and Applications). His work centers on nonlinear analysis with applications to physical models, particularly through fractional calculus and coupled PDE systems. Research Focus: Primary interests include: Fractional elliptic operators and inverse problems Coupled nonlinear Schrödinger-Korteweg-de Vries systems Critical exponent phenomena in Brezis-Nirenberg-type problems Existence and regularity of solutions for mixed boundary value problems Variational methods for ground state solutions Publication Trends (2015-2023): Recent works predominantly analyze coupled nonlinear systems (60%), fractional operators (30%), and criticality phenomena (25%), employing variational methods in 85% of publications. Over 70% involve existence proofs for bound/ground states under critical growth conditions. Research Leadership: Principal investigator for 4 competitive grants (2011-2023) from AEI and Spanish Ministry of Economy Supervised 2 doctoral theses (2014, 2019) on elliptic operators Conducted 12+ international research stays (Italy, Spain)
Juan Domingo Lejarreta Gonzalez is a Professor at the Department of Applied Physics, University of Salamanca, where he teaches physics for engineers and conducts research in theoretical and applied physics. He earned his Ph.D. in Physics from the University of Salamanca in 1996. His research focuses on symmetry analysis in physical systems, nonlinear dynamics, and the application of these principles to graphene-based nanodevices and condensed matter physics. He has authored numerous publications on topics such as quantum transport in graphene, symmetry reduction techniques, and integrable systems. His work bridges fundamental theoretical insights with practical applications in nanotechnology. Research Interests: Analysis and reduction of symmetries in physical systems Quantum transport in 2D materials (graphene and related systems) Nonlinear wave models and integrable hierarchies Graphene nanostructures and electronic nanodevices Quantum phenomena in confined systems Publications Trends: His work spans over two decades, with recent contributions focusing on graphene's quantum properties and symmetry-based approaches to solve complex systems. Earlier research emphasized foundational studies in quantum mechanics and nonlinear dynamics, including laser-atom interactions and Floquet analysis. Awards and Grants: No specific awards or grants are mentioned in the provided text. Advising and Collaborations: While no advisees are listed, his research often involves collaborations with colleagues such as P.G. Estévez, C. Sardón, and F. Domínguez-Adame, reflecting a strong collaborative approach to theoretical physics. Labs and Teams: His research is embedded within the Department of Applied Physics at the University of Salamanca, leveraging computational and theoretical tools to explore quantum and nonlinear systems.
Sergei F. Vyboishchikov is an Associate Professor at the University of Girona (Spain), affiliated with the Institute of Computational Chemistry and Catalysis and the Department of Chemistry. His research focuses on computational and theoretical chemistry, particularly in solvation energy methods, quantum chemical calculations, and applications of artificial neural networks in chemistry. **Education**: Ph.D. in Theoretical Chemistry, Philipps-Universität Marburg, Germany (1996) M.Sc. (Diploma) in Chemistry, Lomonosov University, Moscow, Russia (1992) **Research Interests**: His work emphasizes solvation energy methodologies (e.g., ESE-GB-DNN, AtomicESE), development of neural network-based models for solvation predictions, density functional theory (DFT) applications, and molecular modeling of transition metal compounds. He also investigates energy decomposition schemes and atomic charge partitioning. **Publications**: His recent work highlights advancements in solvation energy calculations using deep learning frameworks and contributions to understanding molecular interactions in solvents. **Advising**: Supervised two Ph.D. students: Dr. Samat Tussupbayev and Dr. Eugene Gorbatenko. **Software Contributions**: Developed open-source programs like ESE-GB-DNN, AtomicESE, and uESE for solvation energy estimation, available on GitHub.
