جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• High Performance Computing
• Distributed Systems
• +۴ مورد دیگر

José Luis Vázquez-Poletti is an Associate Professor at the Universidad Complutense de Madrid's Faculty of Informatics, specializing in distributed systems and cloud computing. He holds a Ph.D. in Computer Architecture (2008) and an M.E. in Computer Science (2004), both from UCM. As head of the Open Source Software and Open Technologies Office, he promotes open-source adoption in academic and administrative contexts. Education: M.E. in Computer Science, Universidad Pontificia de Comillas (2004) Ph.D. in Computer Architecture (Doctor Europeus), Universidad Complutense de Madrid (2008) Research Interests: Cloud Computing and Serverless Architectures High-Performance Computing for Space Exploration (e.g., Mars missions) Cybersecurity and Distributed Systems Optical Data Storage (QR code encryption) Key Projects: Lead researcher in EU-funded projects like IN-TIME (Martian dating), EDGECLOUD (edge computing), and EYE (economy via spatial data) Developed NGScloud and TOA tools for genomic analysis using cloud computing Authored cloud-based frameworks for Mars aurora detection, Phobos eclipse analysis, and bioinformatics Other Roles: Editorial Board member of journals like International Journal of Grid and Distributed Computing and Parallel and Cloud Computing Research Advisor for over 30 academic theses and projects, including serverless architectures in healthcare, cybersecurity, and gaming

José Enrique García Ramosمشاهده پروفایل

استاد

• Nuclear Physics
• Quantum Phase Transitions
• Quantum Computing
• +۳ مورد دیگر

José Enrique García Ramos is a Full Professor at the University of Huelva, holding positions in the Department of Integrated Sciences and Faculty of Experimental Sciences. He currently serves as Director of Research at the University of Huelva since 2020 and is affiliated with the Center for Advanced Studies in Physics, Mathematics, and Computing. His academic journey includes a PhD in Nuclear Physics from the University of Seville (1994-1999) and postdoctoral research at the University of Delaware and Ghent University. His research focuses on quantum phase transitions, nuclear structure models (e.g., IBM-3/4), and interdisciplinary studies linking physics to sustainability. Notable contributions include studies on shape coexistence in isotopes, quantum computing applications in nuclear physics, and environmental efficiency analysis in the EU. He has organized major events like the La Rábida Summer School and serves on the executive committee of CPAN. With over 95 publications (WoS) and 167 peer reviews, his work bridges theoretical physics with experimental collaborations. His recent publications explore CO₂ emissions dynamics, quantum phase transitions in models like the Agassi and Lipkin systems, and applications of machine learning in quantum simulations.

Bruno Ebnerمشاهده پروفایل

پژوهشگر ارشد

• Statistical Methodologies
• Goodness-of-Fit Tests
• Multivariate Statistics
• +۶ مورد دیگر

Bruno Ebner is a Senior Research Fellow at the Karlsruhe Institute of Technology (KIT), specializing in statistical methodologies and their applications in applied mathematics and mathematical statistics. He obtained his PhD in Mathematics from KIT in 2010 and has been a permanent faculty member since 2012. His research focuses on developing statistical methods for uni-, multi-, and infinite-dimensional data, including non-Euclidean and metric spaces. Key research interests include goodness-of-fit testing, multivariate statistics, directional statistics, functional data analysis, and Stein's method. Notable contributions include the development of Sobolev tests on hyperspheres and the analysis of eigenvalues in covariance operators. Ebner has secured grants such as the STENED project, supporting PhD students like Paul Axmann and Vinícius Litvinoff. He has authored over 50 peer-reviewed articles in journals like TEST and the Journal of Nonparametric Statistics, with a focus on multivariate normality testing, exponentiality tests, and distributional characterization. His work emphasizes affine-invariant tests and neighborhood model validation. Ebner’s research bridges theoretical statistics with practical applications in data analysis and computational methods.

• Mechanical Engineering
• Manufacturing Engineering
• Biomedical Engineering
• +۵ مورد دیگر

Antonio Jose Sanchez Egea is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Politècnica Superior d'Enginyeria de Vilanova i la Geltrú (EPSEVG) and the Departament d'Enginyeria Mecànica. His professional category is 'Professor agregat,' and he is part of the research group GAECEQS (Grup d'Accionaments Electromecànics, Conversió de l'Energia i Qualitat del Subministrament). His expertise spans Mechanical Engineering, Manufacturing Engineering, and Biomedical Engineering, focusing on topics like electroplasticity-assisted manufacturing, biomechanical simulations, and medical device design. Education: PhD in Mechanical Engineering, Fluids, and Aeronautics, with a Master's in Biomedical Engineering. He has supervised multiple doctoral theses, including those on surgical simulation and tremor analysis. Research interests include advanced manufacturing processes, biomedical applications of finite element analysis, and optimization of machining techniques. His work integrates mechanical, biomedical, and computational approaches to solve challenges in surgery, material processing, and medical diagnostics. Key projects include developing a lung simulator for mechanical ventilation training, studying osteotomy effectiveness via in-silico models, and creating diagnostic tools for Parkinson’s disease using smartphone accelerometry. He has authored over 117 publications, including articles on needle-tissue interaction modeling, knee osteotomy biomechanics, and machining energy consumption analysis. Grants and collaborations: Involved in projects funded by the Spanish Ministry of Science and Innovation, including Xarxa R+D+I en Tecnologies de la Salut (Xartec Salut). His work bridges academia and industry, emphasizing practical applications of engineering principles in healthcare and manufacturing. Labs/Teams: Active member of GAECEQS, collaborating with groups like PROCOMAME (Metal Forming Processes) and InSup (Bioengineering Surfaces Interaction Group). He also contributes to the DigiFACT network for advanced manufacturing innovation.

• Burnishing
• Manufacturing Process Engineering
• 3D Printing
• +۲ مورد دیگر

José Antonio Travieso Rodríguez serves as a Professor in the Department of Mechanical Engineering at Universitat Politècnica de Catalunya · BarcelonaTech (UPC), where he maintains an active research profile with an h-index of 23.0. His work focuses on advancing manufacturing technologies through experimental and computational methodologies in high-precision industrial processes. Education: Industrial Engineer (Mechanical) Master in Manufacturing Processes and Part Reconditioning PhD in Industrial Engineering Research Interests: Professor Travieso Rodríguez specializes in surface integrity enhancement through burnishing techniques and vibration-assisted machining to reduce tool wear in difficult-to-cut materials. His work in additive manufacturing explores 3D printing of metallic components for aerospace applications, while his manufacturing process engineering research develops digital twins for sustainable production systems. Current projects emphasize Industry 4.0 integration in mechanical fabrication workflows. Research Groups: He leads the TECNOFAB Research Group (Technologies of Manufacturing) and co-directs DigiFACT (Advanced Digital Factory consortium) within the TECNIO network. These groups collaborate with industrial partners like SEAT and Airbus on vibration-based process optimization and digital reconditioning of critical components. Advising and Grants: While specific student names aren't listed in the source material, his research group supervises multiple doctoral candidates in manufacturing technologies. His grant portfolio includes competitive projects from the Spanish Ministry of Science (RTI2018-094506-B-C21) and EU Horizon 2020 initiatives focused on sustainable machining. Contact: Email: antonio.travieso@upc.edu

• Computer Architecture
• Compilers
• GPUs
• +۴ مورد دیگر

Antonio González Colás is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Department of Computer Architecture. He leads the ARCO research group (Microarchitecture and Compilers) and focuses on advanced computer architecture, including GPUs, compilers, and embedded systems. In 2024, he received the ICREA Acadèmia distinction for his research on future computer systems integrating cognitive tasks and autonomous decision-making. His work emphasizes energy-efficient architectures, memory optimization, and hardware acceleration for AI and real-time applications. He holds a Doctorate in Computer Science and has over 1000+ publications, including top-tier journals and conferences. His research spans topics like GPU microarchitecture, compiler-assisted caching, DNN acceleration, and autonomous driving hardware. Major awards include the HiPEAC 2024 Paper Award and EU-funded projects under Horizon 2020. He advises numerous PhD students on topics such as point cloud processing for autonomous systems, GPU rendering optimizations, and neural network efficiency. His contributions bridge theoretical computer architecture with practical hardware-software co-design, addressing challenges in modern computing systems.

Ernest Tenienteمشاهده پروفایل

استاد

• Software Engineering
• Database Systems
• Conceptual Modeling
• +۴ مورد دیگر

Ernest Teniente is a full professor at the Universitat Politècnica de Catalunya — BarcelonaTech and director of the inLab FIB . He specializes in software engineering, databases, and IoT systems, with a focus on conceptual modeling, data integration, and automated reasoning. His research spans 20 years, yielding over 60 peer-reviewed publications and leading roles in national/international projects like SUDOQU and DAGIA. He has supervised numerous students across BSc, MSc, and PhD levels, contributing to projects such as an AI-based police patrol tool and semantic IoT infrastructure monitoring. Teaching experience includes undergraduate/postgraduate courses on software analysis, requirements engineering, and advanced databases. He has collaborated with institutions like Mossos d’Esquadra and Barcelona City Council on projects like the Artificial Intelligence-assisted police patrol manager and LinDaFIX for social welfare data analysis. His work bridges academia and industry, emphasizing practical applications in transportation optimization (SORT project) and cybersecurity. Research Highlights : Conceptual modeling and automated reasoning for database schemas IoT semantic integration and critical infrastructure monitoring Artifact-centric business process modeling in UML Projects : SUDOQU (data quality via ontologies) DAGIA (threat detection in ICT infrastructures) REMEDiAL (ontology-based software development) He regularly serves on program committees for top conferences and has coordinated projects funded by Spain’s Ministry of Science. His labs and teams, notably inLab FIB, drive innovation in AI applications, DevOps benchmarking, and IoT ecosystems.

Jose Ángel Ramos Gargantillaمشاهده پروفایل

پژوهشگر

• Ontology Merging
• Semantic Integration
• Geospatial Information Systems
• +۳ مورد دیگر

Jose Ángel Ramos Gargantilla is a Researcher at the Universidad Politécnica de Madrid (UPM), affiliated with the Ontological Engineering Group (OEG) within the Faculty of Informatics. He holds a Computer Science degree from UPM (2001) and is currently a PhD student in the Artificial Intelligence Department. His research focuses on ontology merging, semantic integration, and geospatial information systems. He has contributed to projects like OntoWeb, GeoBuddies, and Knowledge Web, and participated in organizing events such as EKAW02, TKE2012, and multiple SSSW summerschools. Education: Bachelor's in Computer Science, UPM (2001) PhD candidate in Artificial Intelligence, UPM His research interests emphasize semantic web technologies, ontology alignment, and geospatial data management. He has published extensively on ontology merging algorithms, semantic conflation, and real-world applications of semantic integration. Key contributions include work on mapping discovery and aggregation techniques. He has actively participated in managing the Ontological Engineering Group (OEG) and contributed to interdisciplinary projects bridging AI with geospatial technologies.

• Social Simulation
• Behavioral Dynamics
• Agent-Based Modeling
• +۴ مورد دیگر

Dr. Wander Jager is an Associate Professor and Managing Director of the Groningen Center for Social Complexity Studies (GCSCS) at University College Groningen, University of Groningen. His work focuses on social complexity, agent-based modeling, and sustainable behavior, with a particular emphasis on understanding micro-macro interactions in social systems. He holds a PhD in Social Sciences (2000) from the University of Groningen, where he also served as Assistant Professor of Marketing before moving to his current role in Liberal Arts and Sciences. His research interests include social simulation, behavioral dynamics, and the application of computational models to environmental and societal challenges. Key projects involve EU-funded initiatives like ACTISS (computational social science education), INCITE-DEM (citizenship in global transformation), and MOBI-TWIN (spatial mobility transitions). He has contributed to over 113 publications, with recent work exploring topics like task allocation dynamics, cultural impacts on vaccination attitudes, and norm-driven social innovation. Jager has received awards including the Snijders-Kouwer-award (2000) and best paper awards for his work on consumer behavior models. Beyond research, he leads educational programs such as the Honours Bachelor in Social Complexity and teaches modules on sustainable markets and behavioral dynamics. His affiliations include editorial roles at Journal of Artificial Societies and Social Simulation and memberships in the European Social Simulation Association. He also manages the GCSCS, fostering interdisciplinary research on complex societal challenges.

• Computer Science
• Medical Imaging
• Nuclear Medicine
• +۳ مورد دیگر

Mario Cañadas Castro is an Adjunct Professor at the University Carlos III of Madrid, with a multidisciplinary research portfolio spanning serious games, medical imaging technologies, and computational physics. His work includes the EU-funded RAYUELA project addressing cybercrime through gamification, development of the GAMOS simulation framework for nuclear medicine applications, and advancements in PET scanner technology using CdTe detectors. His research also intersects psychosocial studies in healthcare, analyzing nurse well-being in critical care settings and sleep patterns in university populations. Key contributions include pioneering frameworks for Geant4 simulations and optimizing PET imaging systems under NEMA standards. He has authored over 50 publications on topics ranging from ion-beam surface patterning to AI-driven serious games for social challenges. His interdisciplinary approach bridges computer science, biomedical engineering, and materials science. Notable projects include the H2020 RAYUELA initiative (2021) and foundational work on pixelated CdTe detectors for brain PET scanners (2013). His research trends emphasize computational tools for healthcare innovation and leveraging serious games for societal issues like cyberbullying prevention. No scientific awards are listed, but his extensive publication record reflects significant contributions to multiple fields. Advising and grant details are not specified in available records. His work has implications for both academic and applied domains, including EU policy initiatives and clinical healthcare technology advancements.

• Single Cell Genomics
• Spatial Genomics
• Immunology
• +۳ مورد دیگر

Holger Heyn is an ICREA Professor at the National Center for Genomic Analysis (CNAG), part of the Life & Medical Sciences. He leads the Single Cell Genomics department, specializing in advanced single-cell and spatial sequencing technologies and computational biology toolkits. His group integrates genomic data from immune cells to chart cellular identities and their roles in diseases, combining expertise in genomics, computational biology, and immunology. Dr. Heyn has published over 120 articles (20,119 citations, H-index of 64) and is a member of the Human Cell Atlas project, where he co-chairs the Standards and Technology Working Group and the Spatial Program. As Scientific Co-founder of Omniscope, he develops high-resolution profiling technologies for clinical diagnostics and therapeutics. His research focuses on applying genomic and spatial technologies to understand immune cell roles in diseases, particularly cancer. The Single Cell Genomics group also collaborates on computational tool development, bridging research and clinical applications.

• Identification Technologies
• Computer Science
• Engineering
• +۳ مورد دیگر

IVÁN SÁNCHEZ PÉREZ holds the rank of Professor at Carlos III University of Madrid. His affiliation includes roles such as Full Professor, Associate Professor, and Visiting Professor, reflecting a multifaceted academic career. He is associated with the Grupo Universitario de Tecnologías de Identificación (GUTI) , focusing on advanced identification technologies and related engineering disciplines. He contributes to academic administration through Master's Study Grants and Services Staff roles, demonstrating leadership in educational and institutional support. His research interests revolve around identification systems, computer science applications, and technological innovation, as evidenced by his involvement in the GUTI group. No specific awards or recent publications are listed in the provided data, though his involvement in teaching and research administration highlights his institutional contributions. He oversees Bachelor's, Master's, and Ph.D. programs, emphasizing a commitment to education and academic development.

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +۵ مورد دیگر

Eduardo Colera Sala is an Associate Professor in the Department of Physics at Universidad Carlos III de Madrid (UC3M), where he also serves as Secretary of the Physics Department. His research focuses on advanced materials characterization using techniques such as X-ray absorption spectroscopy (XAS), small-angle neutron scattering (SANS), and computational modeling. Key areas include energy materials (e.g., solid oxide fuel cells, solar cells), nanomaterials (e.g., thin films, nanoparticles), and functional oxides with applications in magnetism and electronics. Recent work emphasizes optimizing thin film properties for energy systems, studying structural changes in high-performance steels under thermal aging, and investigating surface chemistry effects in environmental and heritage materials. He collaborates extensively on interdisciplinary projects involving materials synthesis, device fabrication, and in situ characterization under controlled environmental conditions. Publications reflect a strong emphasis on structure-property relationships in materials, with contributions to understanding phase transitions, defect engineering, and interfacial phenomena. His work bridges fundamental materials science with applied technologies in energy, electronics, and cultural heritage preservation.

Cristina Losada Gutiérrezمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Deep Learning
• +۳ مورد دیگر

Cristina Losada Gutiérrez is a Professor at the Department of Electronics, Universidad de Alcalá, Spain. She leads research in the GEINTRA group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. Her work integrates computer vision, robotics, and deep learning for applications in smart surveillance, human activity analysis, and assistive technologies. She earned a PhD in 2010 with a thesis on 3D robot localization using static camera networks. Her research spans real-time action recognition, anomaly detection, and sensor fusion for healthcare and transportation systems. Notable projects include the GEMS Erasmus+ initiative (Ruby sensory module) and EU-funded EYEFUL systems for functional evaluation. Her recent publications emphasize edge computing frameworks for video analysis, weakly-supervised learning models, and robust object detection in dynamic environments. She actively contributes to educational robotics projects like Eurobot Spain and explores portable architectures for intelligent wheelchairs. Her lab develops multisensory systems for applications such as crowd safety (stampede detection) and railway obstacle detection, leveraging time-of-flight cameras and deep learning pipelines. She collaborates internationally on projects blending academic research with industrial and societal challenges.

• Complex Systems
• Game Theory
• Social Networks
• +۳ مورد دیگر

Alberto Antonioni is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on complex systems, game theory, and behavioral science, with applications to social cooperation, climate policy acceptance, and network dynamics. His work integrates theoretical modeling with experimental approaches to study how individual behaviors aggregate into collective phenomena. Key research areas include the evolution of cooperation in social dilemmas, public acceptance of environmental policies, and AI-mediated social interactions. Dr. Antonioni's publications demonstrate methodological diversity, employing agent-based models, network science, and behavioral experiments to address societally relevant challenges like pandemic responses and ecological transitions.