جست‌وجوی استاد و پژوهشگر

Carlos Lopezosa Garcíaمشاهده پروفایل

دانشیار

• Digital Journalism
• Search Engine Optimization
• Web Visibility
• +۵ مورد دیگر

Carlos Lopezosa García is an Associate Professor at the Communication Department of Pompeu Fabra University in Barcelona, Spain. He is an active researcher in the DigiDoc Group, focusing on digital communication and web visibility. His academic journey includes a Degree in Journalism from CEU Cardenal Herrera, a Master in Journalism and Dissemination from Complutense University of Madrid, and a Doctorate in Communication from Pompeu Fabra University. His research interests center around digital journalism, web visibility and cybermedia, new journalistic formats, SEO, YouTube optimization, and the intersection of artificial intelligence with media practices. Lopezosa has developed expertise in Search Experience Optimization (SXO), which combines SEO with user experience considerations to improve content visibility. His research output shows a clear evolution from traditional SEO studies toward the integration of AI in journalism and communication research. The most recent publications demonstrate his growing focus on AI applications in media, including the use of ChatGPT for qualitative research, analysis of AI-generated content, and the impact of generative AI on information ecosystems. His work bridges technical SEO expertise with critical analysis of media practices in the digital age. Project "Narración interactiva y visibilidad digital en el documental interactivo y periodismo estructurado" (RTI2018-095714-B-C21) funded by the Ministry of Economy and Competitiveness Project "MIRONINS – Redesign of the cultural experience of visiting a museum through transmedia narrative, gamification and new technologies" (COMRDI18-1-0009) funded by ACCIÓ program, Generalitat de Catalunya Project "Parámetros y estrategias para incrementar la relevancia de los medios y la comunicación digital en la sociedad: curación, visualización y visibilidad (CUVICOM)" (PID2021-123579OB-I00) funded by MICINN, Ministry of Science and Innovation (Spain) Lopezosa maintains an active presence in academic circles with profiles on ORCID, Google Scholar, ResearchGate, and Academia.edu. His work has practical applications for media organizations seeking to improve their digital visibility while maintaining journalistic integrity in an era of algorithmic content distribution and AI-generated information.

• Civil Engineering
• Structural Engineering
• Renewable Energy Systems
• +۴ مورد دیگر

Juan José Aznárez González is a Professor at the Department of Civil Engineering, University of Las Palmas de Gran Canaria. He is affiliated with the research groups GIR SIANI (Mechanics of Continuum Media and Structures) and IU Intelligent Systems and Numerical Applications. His academic career focuses on structural engineering, renewable energy integration, seismic analysis, and urban infrastructure development. He has advised numerous master’s and bachelor’s theses, demonstrating expertise in civil and mechanical engineering projects. Research Interests: Structural design, renewable energy systems, noise mitigation, offshore wind turbines, geotechnical engineering, and energy-efficient building systems. His work bridges theoretical mechanics with practical engineering solutions, addressing challenges in transportation, industrial facilities, and sustainable urban development. Advising: Over 50 students have completed theses under his guidance, covering topics from automated manufacturing systems to seismic response analysis of offshore structures. His contributions are reflected in projects like the 'Metroguagua' renewable integration proposal and acoustic screen designs for traffic noise reduction. Labs/Teams: Active in interdisciplinary teams focused on smart systems and numerical applications, contributing to both academic and applied engineering research.

Juan Carlos Pichel Camposمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Computing
• Big Data Technologies
• +۶ مورد دیگر

Juan Carlos Pichel is an Associate Professor at the Center for Research in Intelligent Technologies (CITIUS) within the University of Santiago de Compostela (Spain). He holds a B.Sc. in Physics and a Ph.D. in Computer Science from the same university (2006). His research focuses on parallel and distributed computing, Big Data technologies, quantum computing, and optimization for emerging architectures. He has held visiting positions at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked at the Galicia Supercomputing Center. Education: B.Sc. Physics (USC, Spain), Ph.D. Computer Science (USC, 2006). Research interests include: HPC frameworks (IgnisHPC), quantum computing tools (NetQIR), bioinformatics software (BigSeqKit/VeryFastTree), and misinformation detection systems. His work emphasizes interdisciplinary applications of parallel computing in genomics, health informatics, and social media analysis. Notable contributions: MPI4All (universal MPI bindings), IgnisHPC (HPC-Big Data framework), and VeryFastTree (phylogeny tool). Active in projects like C3HS (health search systems) and HYBRIDS (AI for democratic practices). Labs/Teams: Leads the ARQCOMP research group in Computer Architecture. Collaborates with multidisciplinary teams in bioinformatics, quantum computing, and social media analytics.

Alberto Ros Bardisaمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Hardware Optimization
• +۶ مورد دیگر

Alberto Ros Bardisa is a Professor at the Department of Computer Engineering and Technology within the Faculty of Informatics at the University of Murcia. He holds a Doctorate from the same university, completing his thesis on Efficient and Scalable Cache Coherence for Many-Core Chip Multiprocessors in 2009. His research focuses on computer architecture , with particular emphasis on cache coherence protocols , hardware transactional memory , speculative execution , and many-core systems . He has contributed to optimizing memory subsystems, concurrency management, and scalability in parallel computing environments. His work often bridges hardware-software co-design to enhance performance and security in modern architectures. Dr. Ros Bardisa is affiliated with the Computer Architecture and Parallel Systems research group and previously contributed to the Architecture and Parallel Computing group. His publications (over 130+ listed) reflect a sustained focus on advancing cache efficiency, transactional memory systems, and speculative execution techniques. His current work explores innovative solutions for fine-grain coherence , secure prefetching , and atomic operation optimization , with recent contributions in 2025 addressing novel protocols like WoperTM and MASCOT.

Jesus Joaquin Garcia Molinaمشاهده پروفایل

استاد

• Computer Science
• Database Systems
• Model-Driven Engineering
• +۵ مورد دیگر

Jesus Joaquin Garcia Molina is a Professor in the Department of Computer Science and Systems Engineering at the Universidad de Murcia's Faculty of Informatics. He holds a Doctorate from the same university with a thesis on the conformational and dynamic study of flexible macromolecules (1988). His research focuses on database systems, model-driven engineering, NoSQL technologies, and software modernization. He is actively involved in projects related to schema evolution, user interface generation from wireframes, and AI applications in healthcare and education. Key research areas include database schema management, cross-platform data migration, and the development of unified query languages like Skiql. He has contributed to frameworks such as Guizmo for automated UI generation and tools for reverse-engineering legacy systems. His work bridges theoretical computer science with practical applications in software development and education technology. Recent publications emphasize NoSQL schema evolution, AI-driven radiology support systems, and the integration of interactive educational content in social robots. His interdisciplinary approach spans computer science, medicine, and pedagogy, with notable contributions to both academic and applied domains.

• Microgrids
• Energy Management Systems
• IoT Integration in SmartGrid
• +۵ مورد دیگر

Juan C. Vasquez is a Professor and Co-Director of the Center for Research on Microgrids (CROM) at Aalborg University, Denmark. He holds a B.S. in Electronics Engineering from the Autonomous University of Manizales (2004) and a Ph.D. in Automatic Control, Robotics, and Computer Vision from the Technical University of Catalonia (2009). His academic career includes roles as Assistant Professor (2011–2014) and Associate Professor (2014–2019) before becoming a full Professor. He has held visiting positions at Virginia Tech’s CPES and Ritsumeikan University, Japan. His research focuses on microgrid operation, advanced control strategies, energy management systems, IoT integration in smart grids, and maritime microgrids. He has authored over 649 publications and secured significant grants, including the EU-funded projects EU-DREAM (2024–2027) and NEST (2024–2026). He is an IEEE Senior Member and serves as an Associate Editor for journals like IET Power Electronics and IEEE Access. Research Highlights: Microgrid control, distributed energy resources, and digital twins for energy systems. Awards: Young Investigator Award (2019), Clarivate Highly Cited Researcher (since 2017). Grants: Led 49 projects, including EU-DREAM (€ funding) and NEST (national infrastructure roadmap). Prof. Vasquez contributes to UN Sustainable Development Goals, particularly in affordable and clean energy (SDG 7). His work bridges academia and industry through collaborations on resilient energy systems and smart grid innovations.

• Machine Learning
• Data Science
• Artificial Intelligence
• +۴ مورد دیگر

Manuel Pegalajar Cuéllar is a Full Professor at the University of Granada, affiliated with the Department of Computer Science and Artificial Intelligence within the School of Computer Science and Telecommunications Engineering. His teaching responsibilities include courses such as Machine Learning (Specialization in Computing and Intelligent Systems) and Information and Coding Theory. He also contributes to Master's programs in Business Process Management and Technologies, focusing on databases and advanced data science models, including Time Series and Data Stream Mining. His research interests span machine learning, data science, and artificial intelligence, with applications in business process optimization and intelligent systems. No specific grants, awards, or notable articles are listed in the provided information. He is currently active in academic roles and has no indication of retirement or former status.

Daniel Garijoمشاهده پروفایل

دانشیار

• e-Science
• Semantic Web
• Research Software
• +۳ مورد دیگر

Daniel Garijo is an Associate Professor at the Artificial Intelligence Department of the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM). He is a researcher at the Ontology Engineering Group and collaborates with the Information Sciences Institute at the University of Southern California. His research focuses on e-Science and the Semantic Web, emphasizing the understandability of research software and computational workflows through provenance tracking and Linked Data exposure . Key areas include FAIR principles, ontology engineering, and automated metadata extraction. Recent publications analyze FAIR software assessment metrics LLM applications for ontology engineering semantic artefact lifecycle optimization carbon emissions transparency RDF-star data integration His work bridges open science with practical standardization efforts in research software. He contributes to the Ontology Engineering Group at UPM, develops open-source tools (RO-Crate, SoMEF), and maintains semantic repositories via Github and ORCID .

• Optical Fiber Sensing
• Photonics Engineering
• Distributed Acoustic Sensing (DAS)
• +۳ مورد دیگر

Miguel González Herráez is a Professor in the Department of Electronics at the Universidad de Alcalá, affiliated with the GRIFO Grupo de Ingeniería Fotónica (Photonics Engineering Group). His research focuses on advanced optical fiber sensing technologies, including distributed acoustic sensing (DAS), phase-sensitive OTDR, and dual-comb spectroscopy. He holds a Ph.D. from the Universidad Politécnica de Madrid (2004) with a thesis on nonlinear techniques for measuring chromatic dispersion in optical fibers. His work emphasizes applications in environmental monitoring (e.g., climate change via submarine cables), seismology, and structural health assessment. Recent projects include high-resolution strain sensing, seismic wave analysis using dark fibers, and improving fiber-optic sensor performance through novel coding and signal processing techniques. He has pioneered time-expanded sensing methodologies to enhance spatial and temporal resolution in distributed systems. Key collaborations involve optimizing fiber-optic networks for geophysical studies and developing plugins like UniDam for composite material analysis. His contributions bridge fundamental photonics research with real-world applications in infrastructure monitoring and oceanography.

Juan José Arranz Santosمشاهده پروفایل

استاد

• Animal Genetics
• Genomics
• Dairy Sheep Production
• +۳ مورد دیگر

Juan José Arranz Santos is a Professor at the University of León, affiliated with the Faculty of Veterinary Science and Department of Animal Production. His research focuses on animal genetics , genomics , and feed efficiency in dairy sheep, with significant contributions through the MEGA MEJORA GENÉTICA ANIMAL research group. He is actively involved in genomic selection programs and uses machine learning and transcriptomic analysis to improve dairy sheep productivity and resilience. Education : Ph.D. in Animal Production from the University of León (1994) His research synthesizes genomic , transcriptomic , and microbiome data to identify biomarkers for feed efficiency, milk quality, and disease resistance. Recent work includes developing the SMARTER-database for integrating sheep/goat genomic data and analyzing epigenetic impacts of early nutrition on lactation performance. Key sub-fields include selective sweeps , long non-coding RNAs , and circular transcriptomes in ruminants. The 15 most recent publications (2025-2023) reveal trends in machine learning applications for feed efficiency prediction, SNP array integration , lncRNA annotation , and milk metabolite biomarkers . His work spans functional genomics, microbiota analysis, and innovative educational tools like gamification for teaching quantitative genetics . Research Groups : MEGA MEJORA GENÉTICA ANIMAL

• Cryptography
• Cloud Security
• Interactive Cryptographic Protocols
• +۵ مورد دیگر

Françoise Levy-dit-Vehel is a Lecturer-Researcher at ENSTA Paris, part of Institut Polytechnique de Paris, affiliated with the Computer Science and Systems Engineering Unit. She is also an Associate Researcher in the GRACE team at INRIA Saclay and a member of the LIX computer science laboratory at École Polytechnique. She obtained her Habilitation (HDR) from Paris 6 University in 2010. Her research spans: Cryptography & Security : Focus on cloud data protection, interactive cryptographic protocols, and algebraic foundations of encryption. Public-Key Systems : Analysis of MinRank, rank-metric decoding, and word-based cryptosystems. Efficient Storage Solutions : Designs for proofs of retrievability and private information retrieval using coding theory. She teaches courses in cryptography, discrete mathematics, and algorithms at ENSTA Paris and contributes to curriculum development for IP-Paris's cybersecurity master's program. She holds multiple patents in cryptographic systems and has authored research reports for INRIA.

• Digital Privacy
• Data Protection Law
• Right to be Forgotten
• +۱۲ مورد دیگر

Marina Sancho López is a Professor in the Department of Civil Law at the Faculty of Law, Universitat de València. She is an active legal scholar with a focus on digital rights, data protection, and civil law, contributing to interdisciplinary research through her involvement in the GIN Neurodret and GEDPED research groups. PhD, Universitat de València (2018) Her research centers on the intersection of law and technology, particularly the right to be forgotten, algorithmic transparency, genetic data privacy, and digital consent. She explores how traditional civil law frameworks adapt to big data, AI, and digital society, with a strong emphasis on fundamental rights and European regulation. Her recent publications reveal a consistent trend in digital privacy law, with increasing attention to algorithmic accountability, genetic data, and pedagogical strategies in legal education. She also engages with public policy issues, such as port expansion and gender-based violence directives. Scientific Awards: No awards listed in the provided text. She supervises academic work, as evidenced by her role as thesis advisor, and contributes to institutional reports and legal analyses. Her research is supported through institutional affiliations and collaborative projects, though specific grants are not mentioned. She is part of active research teams focusing on neuro-law and European digital private law. The GIN Neurodret and GEDPED groups provide platforms for interdisciplinary collaboration on emerging legal challenges in the digital age, particularly in privacy, AI, and genetic data regulation.

Oier Lakuntza Irigoienمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Storage
• Computational Chemistry
• Materials Science
• +۳ مورد دیگر

Dr. Oier Lakuntza Irigoien is a Senior Researcher at CIC energiGUNE, specializing in computational modeling of electrochemical energy storage materials. He is affiliated with the Modelling and Computational Simulation research group and focuses on predicting atomic/electronic structures of novel battery materials using density functional theory (DFT) and data-mining tools. Education: PhD in Theoretical and Computational Chemistry (cum laude), University of Basque Country (2012) BSc in Chemistry, University of Basque Country (2007) Research Interests: Dr. Lakuntza’s work centers on Li-ion and Na-ion battery materials , particularly layered oxides and olivines. His methods include supercell modeling, pymatgen automation, and Python/Fortran code development for analyzing ion substitution effects. Key contributions involve stability analysis of cathodes and polymer electrolytes. Scientific Awards: Spanish Ministry Juan de la Cierva grant (2017) Cum laude PhD distinction (2012) Labs & Collaborations: Previously worked with Feliu Maseras at ICIQ (2014-2017). Currently collaborates with interdisciplinary teams at CIC energiGUNE, including experimentalists like Teófilo Rojo and computational experts like Javier Carrasco. His work bridges theoretical predictions with practical battery material development.

• Educational Technology
• Artificial Intelligence in Education
• Learning Analytics
• +۳ مورد دیگر

Carlos Alario Hoyos is an Associate Professor in the Department of Telematic Engineering at Carlos III University of Madrid, affiliated with the School of Engineering. His work bridges telematics and educational technology, focusing on learning analytics, generative AI, and digital learning environments. Current role: Associate Professor Research groups: GAST (Telematic Applications and Services), NETTEC (Network Technologies) Research interests include: AI-driven educational tools MOOC analytics and quality assessment Chatbot-based programming assistance Behavioral modeling in online learning Automated literature review systems Recent publications (2025-2024) analyze: Student performance prediction models Generative AI integration in education Micro-credentials and digital recognition Hybrid learning environments Telepresence classroom impacts Real-time educational analytics

• Internet of Things (IoT)
• Network Security
• Post-Quantum Cryptography
• +۶ مورد دیگر

Daniel Díaz Sánchez is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where he serves as Deputy Director of Laboratories . His research focuses on IoT security , Post-Quantum Cryptography , and network protocols . Email: daniel.diaz@uc3m.es Office: 4.0.F04 - Quevedo Towers (Leganés) His recent work explores DNSSEC soft delegation for microservices, quantum random number generators , and machine learning applications in cybersecurity. Key publication themes include IoT credential management , secure communication protocols , and control system optimization .