جست‌وجوی استاد و پژوهشگر

• RFID Technology
• Anticollision Protocols
• Algorithm Analysis and Optimization
• +۳ مورد دیگر

Hugo Landaluce Simon is a Lecturer at the University of Deusto , affiliated with the School of Engineering and the Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Informatics and Telecommunications (2014) and an M.Sc. in Advanced Electronics Systems (2010) from the same institution. Research Focus : RFID technology, anticollision protocols, algorithm optimization, and wireless systems. His work bridges theoretical and experimental RFID studies, including hardware platforms, sensor networks, and applications in smart mobility. Supervised Theses : Guided Ph.D. research on passive computational RFID platforms (2021) and dynamic protocol strategies (2018, 2018). Notable Projects : Collaborator in Deusto Smart Mobility (2022–2025), Cognitive Computing for Resilient Cities (2022–2025), and Enhanced Data Processing for Multimodal Traffic (2021–2025). Email : hlandaluce@deusto.es His publications span RFID hardware design, anticollision protocols, and IoT applications, with recent work on polarization-diversity rotation sensing (2023) and fully customizable RFID platforms (2021). Articles emphasize algorithm analysis, energy efficiency, and sensor network integration.

José Lominchar Jiménezمشاهده پروفایل

استاد

• Business Strategy
• Cyber Intelligence
• Human Resources and Talent Management
• +۷ مورد دیگر

José Lominchar Jiménez is a Full Professor at Camilo José Cela University (UCJC) with 25+ years of experience in academic leadership, consulting, and research . He teaches in the Degree in Entrepreneurship and Business Management and Master's Degree in Protocol Management programs. His career spans senior management roles , entrepreneurship , and international consulting projects across 11 countries. PhD in Law (UCJC, 2015) Doctor Honoris Causa (University Center for Legal Studies in Mexico, 2018) MBA (European School of Business Management, 2010) Law Degree (Complutense University of Madrid, 1993) Research interests include business strategy , cyber intelligence , HR/talent management , and climate change-international trade intersections . His 2020-2024 publications explore digital transformation of labor relations , green economic recovery , and AI's impact on professional skills , emphasizing interdisciplinary approaches. Scientific recognition includes a Doctor Honoris Causa and ANECA accreditation as Contract/Full Professor. His work bridges academic rigor and real-world applications , with 30+ publications and 40 consulting projects. He co-founded CIAR Consulting , focusing on high-performance organizational solutions.

Enrica Valeria Zolaمشاهده پروفایل

استاد

• 5G
• Green Networking
• IEEE 802.11
• +۸ مورد دیگر

Enrica Valeria Zola is a Professor Agregat at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Telecommunications Engineering within the School of Telecommunications and Aerospace Engineering of Castelldefels (EETAC). She is an active member of two research groups: GRXCA (Group for Research in Cellular and Ad-hoc Communication Networks) and ISG-MAK (Information Security Group - Mathematics Applied to Cryptography). Her research focuses on wireless networking technologies, with particular expertise in Wi-Fi positioning systems (especially IEEE 802.11mc/RTT), 5G, ad-hoc networks, and mobile networking. With over 100 publications spanning from 2001 to 2025, her work demonstrates consistent contributions to the field. Recent publications (2021-2025) show a strong focus on Wi-Fi positioning technologies, particularly addressing challenges in accuracy, scalability, security, and implementation of the IEEE 802.11mc standard and RTT (Round Trip Time) positioning. Analysis of her 15 most recent publications reveals a cohesive research trajectory centered on improving wireless positioning systems. Her work spans theoretical analysis, practical implementation, security considerations, and performance optimization of Wi-Fi-based positioning technologies. She frequently addresses real-world challenges including NLOS (Non-Line-of-Sight) environments, hardware limitations, scalability issues in dense networks, and the integration of multiple positioning techniques for improved accuracy. Best Short Paper Award - International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2023 Best paper award - ICNS 2012 Professor Zola has served on scientific committees for numerous international conferences including the International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, IEEE PE-WASUN, and IEEE International Conference on Wireless and Mobile Computing. Her extensive collaboration network includes researchers such as Israel Martin-Escalona, Francisco Barcelo, and Andreas Kassler, reflecting her integration within the international wireless communications research community.

ALVARO ORDOÑEZ IGLESIASمشاهده پروفایل

استادیار

• Computer Vision
• Remote Sensing
• High-Performance Computing
• +۳ مورد دیگر

Alvaro Ordoñez Iglesias is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Higher Technical School of Engineering and the Department of Electronics and Computing. He is a member of the ARQCOMP research group (Computer Architecture) and the CiTIUS research center. His research focuses on high-performance computing techniques for processing multi/hyperspectral remote sensing images, leveraging GPUs, multi-core CPUs, and cluster systems. He holds a PhD in 'Research in Information Technologies' (2021) from the University of Santiago de Compostela, with a thesis titled Efficient Registration of Multi and Hyperspectral Remote Sensing Images on GPU , supervised by Dra. Dora Blanco Heras and Dr. Francisco Argüello Pedreira. Prior to his current role, he was a Juan de la Cierva postdoctoral researcher at the University of A Coruña. His work emphasizes developing accurate image registration algorithms through spectral information exploitation and parallel/distributed computing. Key contributions include the HSI-MSER and HSI-KAZE algorithms, GPU-accelerated registration frameworks, and open-source tools like HypeRvieW for hyperspectral data processing. His publications span topics such as real-time registration on heterogeneous platforms, feature-based vs. area-based methods, and anomaly detection in river basins. Research collaborations involve multi-device algorithm implementations and benchmarking across diverse hardware architectures.

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.

Alec F. Dialloمشاهده پروفایل

پژوهشگر ارشد

• Computational Intelligence
• Adversarial Robustness
• Explainable AI
• +۴ مورد دیگر

Alec F. Diallo is a Postdoctoral Research Associate at the University of Edinburgh's School of Informatics, affiliated with the Mobile Intelligence Lab and Institute for Computing Systems Architecture. He concurrently serves as a Machine Learning Engineer at Net AI, bridging academic research with industry applications in secure networked systems. His educational background includes a joint Computer Science and Electrical Engineering degree from École Supérieure d'Ingénieurs en Électronique et Électrotechnique (ESIEE Paris) and Mundiapolis University, followed by a PhD in Computer Science at the University of Edinburgh under Dr. Paul Patras. Dr. Diallo's research centers on computational intelligence with emphasis on adversarial robustness , explainable AI , and optimization algorithms applied to network security. His work develops novel frameworks like Amoeba for censorship circumvention and Sabre for neural network defense, addressing critical vulnerabilities in edge intelligence and secure communications through advanced machine learning techniques. His publication trajectory reveals consistent innovation in applying clustering methods and spectral analysis to cybersecurity challenges, with increasing focus on real-world deployment at network edges. Recent work demonstrates exceptional performance in malicious traffic classification (100% accuracy) and robust adversarial defense across diverse domains including image recognition and network intrusion detection. Notable recognitions include: SICSA 2024 Best Dissertation Award for "Active Intelligence for Secure Systems" Brendan Murphy Memorial Prize at the 33rd Next Generation Networking workshop (2021) He actively contributes to the academic community as reviewer for AISTATS and IEEE journals, Program Committee Member for IEEE S&P 2024, and frequent invited speaker at institutions including Cambridge, Imperial College London, and Glasgow. His research is supported by Arm funding and features strong industry collaboration through Net AI. As core member of Edinburgh's Mobile Intelligence Lab, he advances edge computing security through projects spanning network traffic analysis, censorship resistance, and robust neural architectures, with ongoing work focusing on scalable clustering validation and causal explainability frameworks.

• Computer Architecture
• Parallel Computing
• Cache Coherence
• +۵ مورد دیگر

Manuel Eugenio Acacio Sanchez is a Professor in the Department of Computer Engineering and Technology at the University of Murcia's Faculty of Informatics. His research focuses on computer architecture, parallel systems, cache coherence, and hardware transactional memory. He earned his Ph.D. from the University of Murcia in 2003 with a thesis on directory-based coherence protocols for distributed-shared memory multiprocessors. Doctorate: Universidad de Murcia (2003) Academic Rank: Professor Research Interests include Hardware transactional memory Cache coherence protocols GPU and DNN accelerators Energy-efficient computing Parallel architectures Recent Article Trends emphasize cycle-level simulation tools (e.g., STONNE), hardware transactional memory optimizations, and neural network accelerator design. His work bridges microarchitectural improvements and application-specific efficiency in multicore systems. Labs & Teams : Affiliated with the Computer Architecture and Parallel Systems research group, previously part of the Architecture and Parallel Computing group.

Gregorio Bernabe Garciaمشاهده پروفایل

دانشیار

• Computer Architecture
• Parallel Computing
• Medical Video Compression
• +۳ مورد دیگر

Gregorio Bernabe Garcia is an Associate Professor in the Department of Computer Engineering and Technology at the University of Murcia's Faculty of Informatics. His research focuses on computer architecture, parallel systems, and medical video encoding optimization. He holds a PhD from the University of Murcia, awarded in 2004 for his thesis on Wavelet Transform optimization for medical video compression in single-processor architectures. Education: PhD in Computer Science (2004), Universidad de Murcia Research Interests: Specializes in computer architecture design, parallel computing systems, and signal processing techniques for multimedia applications. His work emphasizes efficient implementation of Wavelet Transform algorithms in constrained computational environments. Contact: gbernabe@um.es

Jorge Gallego Madridمشاهده پروفایل

پژوهشگر ارشد

• 5G networks
• Artificial intelligence
• Network programmability
• +۳ مورد دیگر

Jorge Gallego Madrid is a Research Fellow at Universidad de Murcia's Faculty of Informatics in the Department of Information and Communication Engineering, affiliated with the Intelligent Systems and Telematics group. His research focuses on AI-driven network programmability for 5G/B5G infrastructures, IoT systems, and zero-touch management. Recent publications explore eBPF/XDP technologies, ML-powered traffic processing, and vehicular network architectures. He earned his PhD in 2024 with the dissertation 'Towards AI-based Network Programmability as an enabler for Zero-touch management and orchestration in B5G infrastructures'.

• Grid federation
• Utility and Cloud Computing
• Distributed Virtualization Management
• +۳ مورد دیگر

Constantino Vázquez Blanco is a Researcher in Grid & Virtualization Technology at the Distributed Systems Architecture Group, affiliated with the Department of Computer Architecture and Automatic Control at Universidad Complutense de Madrid. He holds a PhD in Distributed Computing Architecture and has extensive experience in Grid computing, cloud infrastructure, and open-source projects like OpenNebula and GridWay. His work focuses on distributed systems, virtualization, and resource management. He has contributed to major EU projects such as RESERVOIR and BEinGRID, advancing cloud and grid technologies. Education: M.E. in Computer Science (2002, UCM), MSc in Computing & Internet Systems (2003, King's College London), PhD in Distributed Computing Architecture (2012, UCM). Professional experience includes roles at Altien Solutions, British Telecom, and leadership in academic research projects. Research interests include Grid federation, cloud computing, utility computing, and distributed virtualization management. He has published on grid benchmarking, workflow execution, and middleware integration. His work emphasizes scalable resource provisioning and interoperability in distributed systems. Grants and Projects: Involved in EU-funded initiatives like RESERVOIR (cloud computing), BEinGRID (Grid experiments), and OpenNebula development. His contributions span academic-industry collaborations and open-source tool development. Contact: Located at the Facultad de Informática in Madrid, reachable via email tinova@fdi.ucm.es.

Alberto Ortizمشاهده پروفایل

پژوهشگر

• Embedded Systems
• Reconfigurable Computing
• High-Performance Computing
• +۳ مورد دیگر

Alberto Ortiz is a Ph.D. Candidate and full-time researcher at the Industrial Electronics Center (CEI) within the School of Industrial Engineering at the Polytechnic University of Madrid (UPM). His research focuses on digital embedded systems, reconfigurable computing, and distributed computing. He holds a BSc (2016) and MSc (2018) in Industrial Engineering from UPM, and is currently pursuing an MSc(Res) and Ph.D. in Industrial Electronics. Educations: BSc/MSc Industrial Engineering (UPM, 2016–2018) His work emphasizes high-performance embedded systems and their applications in distributed computing frameworks. He is affiliated with the CEI laboratory located at José Gutiérrez Abascal, 2 in Madrid.

• 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.

Iñaki Úcarمشاهده پروفایل

استادیار

• Machine Learning
• Computational Social Science
• High-Performance Computing
• +۳ مورد دیگر

Iñaki Úcar is an Assistant Professor at the Department of Statistics, University Carlos III de Madrid, and a Research Fellow at the university's Big Data Institute. He directs the Master in Computational Social Science program and is an advocate for open-source software, particularly contributing to R packages like simmer , units , and quantities . His expertise spans statistical software, high-performance computing, simulation, data visualization, and network analysis. He holds an MEng in Telecommunications Engineering and an MScEng in Communications from Universidad Pública de Navarra (2011-2013), followed by an MScEng and PhD in Telematic Engineering from University Carlos III de Madrid (2014-2018). His research focuses on ML interpretability, computational social science applications (e.g., misinformation, inequality), and network dynamics. Recent work includes analyzing gender gaps in academic productivity during the pandemic and developing polynomial-based neural network frameworks. His articles highlight interdisciplinary contributions to R tooling, neural network theory, and socio-technical systems analysis. He actively organizes the Statistics Reading Club and NICDA workshops. Despite no listed formal advisees, his open-source contributions and collaborative projects reflect strong academic engagement.

• Artificial Intelligence
• Open Innovation
• Innovation Management
• +۷ مورد دیگر

Xavier Ferrás Hernández is a Professor at the Department of Operations, Innovation and Data Sciences within the Esade School of Business Administration and Management, part of Ramon Llull University. He is actively affiliated with the Institute for Innovation and Knowledge Management (IIK), where he contributes to research on digital transformation, artificial intelligence, and sustainable innovation. His research focuses on the convergence of Artificial Intelligence , Open Innovation , and Organizational Change . He explores how AI transforms decision-making and corporate structures, how open innovation drives value creation, and how deep tech startups can accelerate sustainable transitions. His work spans sectors including energy, education, and public governance. The most recent articles highlight a strong trend toward understanding AI's organizational implications , trust in AI-generated knowledge , and innovation methodologies for startups . His publications frequently appear in high-quality venues such as the Oxford Handbook of Open Innovation and Research Technology Management , and cover interdisciplinary themes at the intersection of technology, management, and strategy. He is actively involved in externally funded research projects, including: CyLH2Valley : Developing a clean hydrogen economy in Castilla y León. Good4Business : Implementing sustainable business models in large corporations. IIK Research Group : Advancing innovation management practices. Methodology for accelerating deep tech startups in the energy sector, where he serves as Principal Investigator. His advising activities are not explicitly detailed, but his leadership in research projects suggests mentorship of junior researchers and collaboration across multidisciplinary teams. He has secured grants from national agencies such as the Agencia Estatal de Investigación and AGAUR, indicating strong research funding capacity. Xavier Ferrás Hernández is embedded in a vibrant research ecosystem, working with international collaborators from institutions like Oxford University and Aarhus University, and contributing to both theoretical and applied dimensions of innovation and digital transformation.

• Computer Science
• Artificial Intelligence
• Numerical Analysis
• +۱ مورد دیگر

Jose Enrique Adsuara Fuster is a Researcher at the Department of Computer Science and Artificial Intelligence within the School of Engineering at Universitat de Valencia. He earned his PhD in 2017 with the thesis 'Improved numerical methods for elliptic problems in astrophysics' supervised by Dr. Miguel-Ángel Aloy Toras and Dr. Pablo Cerdá-Durán. He belongs to the ERI Image Processing Laboratory (IPL) and focuses on numerical methods for astrophysical simulations. His research bridges computational mathematics and astrophysics, specializing in iterative solvers like the Scheduled Relaxation Jacobi method and their equivalence to classical algorithms. His work emphasizes improving convergence rates for elliptic PDEs relevant to astrophysical phenomena. No scientific awards or student supervision details are listed in available sources. The three articles since 2016 show a consistent focus on numerical analysis for astrophysical applications, particularly elliptic PDEs and iterative methods. His publications appear in computational physics journals, with collaborations within the IPL group.