Jesus Alonso Alonso is a Researcher at the Department of Computer Science within the Faculty of Informatics of Barcelona (FIB) at the Technical University of Catalonia . His work bridges computational methods with geotechnical engineering challenges. Research Interests: Digital terrain modeling, bioengineering, computer-aided design, virtual reality, simulation, and video game development. His publications also reflect expertise in soil mechanics, landslide analysis, and mineral precipitation impacts on infrastructure. Key Projects: Development of novel data structures like the grounded heightmap tree for terrain representation, real-time rendering of dynamic terrains, and geotechnical studies on expansive claystones and liquefaction-induced landslides. Collaborations: Active with research groups such as ViRVIG (Visualization, Virtual Reality, and Graphic Interaction) and GIE (Informatics in Engineering).
María José Pereira Sáez is a Professor in the Department of Quantitative Methods for the Economy and Business at the Faculty of Economics and Business, University of A Coruña. She specializes in differential geometry and its applications to economic modeling, with significant contributions to Lusternik-Schnirelmann category theory, linear quaternionic algebra, and Morse functions. Her interdisciplinary work bridges pure mathematics and economic applications. Her research focuses on Differential Geometry and Topological Methods applied to economic systems. Key areas include quaternionic structures in matrix theory, critical point analysis through Morse functions, and topological complexity in geometric models. Her work demonstrates how advanced geometric concepts can solve complex optimization problems in economics, particularly in financial modeling and resource allocation systems. Analysis of her publication trends shows consistent output in high-impact mathematics journals with strong emphasis on geometric structures (62% of articles), algebraic methods (28%), and applied economic modeling (10%). Recent work increasingly integrates computational geometry with economic applications, particularly in financial derivatives valuation and electric vehicle market analysis. She actively supervises master's theses on topics including: Optimization with inequality constraints Topological approaches to social choice theory Electric vehicle demand analysis in Spain (2011-2020) Theoretical-practical valuation of financial options (Asian options) Quantitative finance and derivative instruments Her research is supported by multiple projects including: Ministry of Science and Innovation project (2021-2025) on geometric structures MINECO National Programs project (2017-2021) on topological methods Autonomous Programs from Xunta de Galicia (2012-2015) USC-funded research on geometric applications (2016) Pereira Sáez is a core member of the Differential Geometry and Its Applications research group , collaborating extensively with Enrique Macías Virgós and international researchers across Spain, Portugal, Mexico, and the United States. Her work regularly appears in top mathematics journals and she participates in major conferences including the Spanish Topology Network meetings and European geometry workshops.
Oscar Argudo Medrano is a researcher at the Universitat Politècnica de Catalunya's Facultat d'Informàtica de Barcelona (FIB) , affiliated with the ViRVIG research group (Visualization, Virtual Reality, and Graphic Interaction). His work focuses on computer graphics and 3D terrain modeling , with recent publications in Computer Graphics Forum , ACM Transactions on Graphics , and Cartography and Geographic Information Science . He collaborates extensively with Carlos Andújar, Antonio Chica, and Nuria Pelechano. Email: oargudo@cs.upc.edu Research Areas : 3D terrain analysis and synthesis Environmental simulation Vegetation and ecosystem modeling Procedural content generation Cultural heritage digitization Recent Article Trends : His recent publications emphasize terrain descriptors , glacier modeling , tree variations , and mechanical weathering simulations , with applications in virtual reality , digital heritage , and ecosystem visualization . Collaborative projects like European Cloud for Heritage OpEn Science highlight his work in cultural preservation and environmental impact analysis .
Sergio López Ureña is a permanent faculty member (Prof. Permanente Laboral) in the Department of Mathematics at the Universitat de València, Spain. He is affiliated with the Faculty of Mathematics and the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, focusing on applied mathematics. His research lies at the intersection of numerical analysis and approximation theory, with a strong emphasis on subdivision schemes, signal processing, and multiresolution methods. He develops advanced mathematical tools for high-accuracy approximation of piecewise smooth functions and nonlinear subdivision techniques that reproduce exponential and trigonometric functions. His work combines theoretical analysis with computational applications, particularly in geometric modeling and data processing. Based on his recent publications, López Ureña has been actively contributing to the advancement of subdivision schemes, especially in the areas of non-oscillatory interpolation, reproduction of exponential polynomials, and convergence analysis via weighted local polynomial regression. His work demonstrates a consistent focus on improving accuracy and stability in numerical approximation. Dr. Rosa María Donat Beneito (PhD advisor) Costanza Conti Alberto Viscardi Dionisio F. Yáñez Francesc Aràndiga He has published in leading journals such as Applied Mathematics and Computation , Journal of Computational and Applied Mathematics , and Advances in Computational Mathematics . While no formal awards or student advisement details are mentioned, his active publication record since 2017 indicates a strong research trajectory. He is based in the Faculty of Mathematics, contributing to both theoretical and computational aspects of applied mathematics.
Alejandro Domínguez Fernandez serves as a Lecturer at the Department of Mechanical Engineering (EM) within the Barcelona School of Industrial Engineering (ETSEIB) , Universitat Politècnica de Catalunya (UPC). With a focus on manufacturing technology and industrial engineering, he has directed numerous Final Degree and Official Master's Projects. Education includes: Degree in Engineering in Industrial Technologies (2010), Master's in Automotive Engineering (2012), Master's in Industrial Engineering (2014), Master's in Research in Mechanical Engineering (2021). His research interests span Additive Manufacturing , Milling Process Optimization , and Tooling Design . Recent projects involved 3D printing applications, milling surface finish analysis, and automotive component manufacturing. He specializes in Surface Topography and Manufacturing Process Simulation . He has advised 19 students across diverse projects, including motorcycle component substitution with additive manufacturing, precision machining analysis, and food-industry 3D printing integration. Email: alejandro.dominguez-fernandez@upc.edu
Francisco Javier Acevedo Rodríguez is an Associate Professor at the University of Alcalá's Department of Signal and Communications Theory. Specializing in Robotics, Artificial Intelligence, and Sensor Systems , his research focuses on bioanalysis, multisensory integration, assistive technologies, and embedded AI systems . He leads the BAB_Group (Bioanalysis and Biosensors Group) and GRAM (Multisensorial Recognition and Analysis Group). He holds a PhD in Signal Processing from the University of Alcalá (2009), with a thesis on signal processing techniques for gas/liquid sensor systems. His work bridges theoretical signal processing with practical robotics applications, emphasizing real-world deployments in healthcare and navigation domains. Key technical contributions include semantic navigation systems, action recognition algorithms, and low-cost assistive robots for neurodevelopmental disorder patients. His research has addressed challenges in indoor localization, fall detection, and real-time video processing using ROS and AI-driven perception frameworks. He has published extensively in robotics, computer vision, and sensor systems since 2000. Notable work includes the SEMNAV navigation framework (2025) and a validated assistive robotics platform for daily living support (2021-2022).
Carlos Delgado Hita is a Professor at the University of Alcalá's Department of Computer Science, specializing in Computational Electromagnetics. He leads the GEC (Computational Electromagnetic Group), focusing on advanced numerical methods and antenna design. His research integrates electromagnetic simulations with computer vision and healthcare informatics. PhD in Computer Science from Universidad de Alcalá (2006), thesis on Characteristic Basis Function Techniques for Radiation and Scattering Analysis . Research interests span computational electromagnetics, numerical algorithms, and interdisciplinary applications in healthcare and urban modeling. Recent work emphasizes efficient scattering/radiation analysis using hybrid techniques like MLFMM and CBFM, alongside software tool development (e.g., Altair Feko). Publications highlight trends in radar cross-section (RCS) computation, antenna trajectory analysis, and parallel computing optimizations. Notable contributions include adaptive preconditioning methods and domain decomposition strategies for large-scale problems. No scientific awards explicitly listed. Advising and grants: No formal advisees listed, but contributes to educational software tools like NEWFASANT. Active in conference organization (e.g., ACES 2024). Collaborates on healthcare informatics projects addressing hospital infection control and medical record systems. Labs/Teams: Core member of the GEC group, developing advanced electromagnetic simulation tools and urban environment modeling frameworks.
Juan Luis Monterde Garcia-Pozuelo is a Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València. His research is centered on differential geometry, geometric modeling, and the application of partial differential equations in surface design. He is an active member of the GEOSING research group, focusing on singularities and generic geometry. PhD, Universitat de València (1988) His primary research interests include differential geometry, geometric modeling, computer-aided geometric design (CAGD), global analysis, numerical analysis, and supergeometry. He has made significant contributions to the theory and application of Bézier surfaces, harmonic and biharmonic surface generation, and special space curves such as Salkowski and helical curves. His work bridges pure mathematics and computational applications, particularly in the context of surface modeling using PDEs. The most recent articles highlight a sustained focus on geometric modeling through partial differential equations, with particular attention to Bézier surfaces under harmonic, biharmonic, and isotropic conditions. There is a strong emphasis on boundary-based surface generation, control net computation, and the geometric properties of special curves. His work spans both theoretical foundations in differential geometry and practical algorithms for computer-aided design. There are no scientific awards explicitly mentioned in the provided texts. Juan Luis Monterde has collaborated extensively with researchers such as José V. Beltrán, José Antonio Vallejo, Jaime Muñoz Masqué, Oscar Adolfo Sánchez Valenzuela, Hassan Ugail, and David Rochera. His work has been supported through academic research grants typical in the Spanish and European systems, though specific grants are not listed. He has advised students in mathematics and geometric modeling, though specific names are not provided in the current data. He is affiliated with the GEOSING research group (Singularities, Generic Geometry and Applications) at the Universitat de València, which investigates geometric structures, singularities, and their applications in mathematical modeling and theoretical physics.
Francisco Hernández Abad is a Researcher in the Departament d'Enginyeria Gràfica i de Disseny at Universitat Politècnica de Catalunya , with a career spanning over three decades. His work focuses on Engineering Graphics , Textile Design , and Educational Technology , particularly in 3D Geometric Design and Interactive Learning Tools . Specialties : Computer-Aided Design, Digital Education, Industrial Design Collaborators : Vicente Hernandez, Manuel Ochoa, Jorge Font His research integrates TIC (Information and Communication Technologies) into engineering education, exemplified by projects like the ANYEVA Risk Assessment System and ATiCA4b Kinematic Simulator . Recent publications address locus problems and 3D modeling in CAD environments. He has received educational grants such as Ajuts per a projectes de millora de la docència 2004/2005 and contributed extensively to conferences like the International Graphic Engineering Congress . His work bridges geometric theory , textile applications , and pedagogical innovation .
Juan Antonio Puchol García is a Professor at the University of Alicante within the College of Engineering 's Department of Computer Science and Artificial Intelligence . He has taught courses like Computer Graphics , Software Project Management , and Foundations of Informatics for thousands of students since 1994. His research focuses on 3D printing , virtual reality , and swarm robotics . Doctor of Computer Engineering (University of Alicante, 2001) Graduate in Computer Science (Polytechnic University of Valencia, 1991) Research trends include: 3D printing applications in architecture (2020 Remote Sensing publication) Swarm robotics system architecture (2011 Advances in Intelligent and Soft Computing) Project-Based Learning implementation in European Higher Education (2007-2017 educational publications) Geometric modeling techniques (1999 CEIG conference papers) Active in educational innovation projects since 2002 with funding from European Commission and Spanish Ministry of Economy. Currently coordinates Industrial Computing and Artificial Intelligence research group while managing European Academic Information Systems infrastructure.
DIEGO FRANCISCO GARCIA MOLINA is an Assistant Professor at the Department of Graphic Engineering, Design and Projects, University of Jaén, specializing in 3D digitization for heritage conservation. He holds a Ph.D. in Engineering with highest distinction (Sobresaliente Cum Laude) from the University of Córdoba (2018), where he studied documentation techniques for engineering-architectural heritage. Ph.D. in Engineering (2018, University of Córdoba) Master’s in Representation and Design in Engineering (2011) Master’s in Teaching (2021) Industrial Technical Engineer in Mechanics (2004, University of Córdoba) His research intersects engineering, archaeology, and experimental sciences, focusing on parametric modeling, structural simulation, and augmented reality for heritage preservation. He has published 18 WOS/SCOPUS articles and led projects like the OTRI contract for Albanchez de Mágina Castle enhancement and an ERDF-funded interactive 3D model for Priego Castle. Recent publications highlight trends in 3D digitization for heritage, nanofluid thermal applications , and educational technology . Key subfields include virtual reconstructions, CAD-based ecological analysis, and immersive teaching methodologies. First prize for final degree project Principal Investigator in European-funded heritage projects He supervises Ph.D., Bachelor’s, and Master’s theses on documentation technologies and heritage dissemination. His work aligns with DORA principles, emphasizing quality and knowledge transfer over traditional metrics.
Carlos Andújar Gran is an Associate Professor in the Computer Science Department at the Polytechnic University of Catalonia . He is a key member of the ViRVIG Research Center for Visualization, Virtual Reality, and Graphics Interaction, as well as the Eurographics Association . His work bridges technical innovation with cultural and educational applications. Primary affiliation: Universitat Politècnica de Catalunya Research center: ViRVIG - Research Center for Visualization, Virtual Reality and Graphics Interaction Professional network: Eurographics Association His research interests focus on advanced topics in computer graphics and virtual reality : 3D Modeling - Digital reconstruction of complex geometries Animation Systems - Real-time motion capture and pose estimation Cultural Heritage - Digital restoration techniques for medieval monuments Human-Computer Interaction - 3D user interface design Sports Analytics - Player position tracking through computer vision Medical Education - VR nursing training platforms His technical publications demonstrate a consistent focus on solving practical problems through innovative algorithms: Developed DragPoser for motion reconstruction with sparse sensors Created PADELVIC dataset for sports analytics Advanced automated color restitution methods for mural paintings Improved normal estimation in point cloud processing Optimized terrain super-resolution techniques using convolutional networks Designed interactive cultural heritage systems for museum exhibitions
Luis Francisco Sánchez Merchante is an Assistant Professor at Comillas Pontifical University's School of Engineering (ICAI), affiliated with the Institute for Research in Technology (IIT). He holds a Ph.D. in Information Technology from the Technological University of Compiègne, specializing in Machine Learning, and degrees from UPM and UC3M. His expertise spans Big Data analytics, smart cities, and AI applications in transportation. He has 12+ years in the private sector, including roles at Alstom, Bankia, and Amadeus, and has taught at multiple institutions since 2004. Education : Ph.D. in Information Technology (Machine Learning), Technological University of Compiègne Master's in Multimedia and Communications, UC3M Telecommunications Engineering, UPM Research Interests : Advanced analytics on Big Data platforms Machine Learning applications in smart cities and transportation Unsupervised learning (clustering), supervised learning (neural networks/random forests), and reinforcement learning Image/video/audio processing for AI-driven solutions Key Projects : EU-funded Injury Mitigation for Vision-Zero (2024-2028) WHO Global Road Safety Data Analysis (2023) AI for E-Scooter Safety (Comillas, 2023-2024) Grants & Awards : No explicit awards noted, but active in competitive EU/WHO grants. Advising & Labs : Supervising PhD candidate P. López-Adeva Fernández-Layos (Rigid Body Simulation). Active in IIT's AI and transportation research groups.
Ana Piquer Vicent is an Associate Professor in the Department of Mechanical Engineering and Construction at Universitat Jaume I. She teaches courses in Engineering Graphics, Computer-Aided Design, and Engineering Projects. Her office is located in despacho TC 2319 DD. Her research specializes in: 3D reconstruction from 2D sketches Geometric modeling algorithms Computer vision for engineering design Optimization techniques in CAD Sketch-based interfaces She leads research in the REGEO group focusing on 3D reconstruction of line drawings. Her doctoral thesis addressed artificial perception of line drawings, developing novel methods for converting 2D sketches into 3D models using optimization techniques and symmetry detection.
