جست‌وجوی استاد و پژوهشگر

PABLO QUESADA BARRIUSOمشاهده پروفایل

استاد

• Remote Sensing
• Parallel Computing
• GPU Acceleration
• +۳ مورد دیگر

Pablo Quesada Barriuso is a Professor at the University of Santiago de Compostela's Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering. He holds a PhD in Information Technology (2015, Cum Laude) from the same institution, focusing on real-time spectral-spatial classification of n-dimensional images using GPUs. His research emphasizes parallel computing techniques for hyperspectral/multispectral remote sensing data processing, targeting low-cost devices to optimize real-time analysis and storage efficiency. Research interests include GPU-accelerated algorithms, wavelet-based denoising, mathematical morphology, and deep learning applications for environmental monitoring. He has been part of the Computer Architecture Group since 2010, contributing to projects like the Galician Rivers Multispectral Anomaly Detection Dataset and CGAN-based reconstruction models. His publications (2013-2025) highlight innovations in superpixel segmentation, watershed algorithms on GPUs, and ELM-based classification systems. While no awards are explicitly listed, his work demonstrates significant contributions to efficient GPU computing for remote sensing challenges. Advising and grants information is not detailed in the provided text. His work is closely tied to the ARQCOMP (Computer Architecture) research group, exploring hardware-software co-design for high-performance imaging solutions.

Gines Garcia Avilesمشاهده پروفایل

استاد پژوهشی

• Telematics Engineering
• 5G/6G Networks
• Network Slicing
• +۲ مورد دیگر

Gines Garcia Aviles is a Research Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, Universidad de Murcia. He obtained his doctorate from Universidad Carlos III de Madrid in 2021 with a thesis on network-slicing aware mobile protocols. Research Focus: Professor Aviles specializes in 5G/6G network architectures, O-RAN security, network virtualization, and intelligent networking systems. His work integrates cloud computing and AI into next-generation telecommunications infrastructure. Recent Work (2023-2024): Focuses on security vulnerabilities in Open RAN implementations, drone communication systems using 5G slicing, and architectural frameworks for natively intelligent 6G networks. His DAEMON project establishes a network intelligence plane for autonomous operations. Technical Contributions: Developed practical solutions like POSENS for end-to-end network slicing and Nuberu for virtualized RAN components, validated through experimental testbeds and EU collaborations.

• Rock Mechanics
• Geotechnical Engineering
• Wildfire Impact on Soils
• +۳ مورد دیگر

Ignacio Pérez Rey is a Postdoctoral Researcher at the University of Alicante's Department of Natural Resources and Environmental Engineering. His work focuses on rock mechanics, geotechnical stability analysis, and wildfire impacts on soil properties, combining experimental, numerical, and analytical methodologies. ORCID: 0000-0003-0883-7211 Scopus Author ID: 56178650200 University: University of Alicante Department: Natural Resources and Environmental Engineering Research interests include: Rock mechanics (frictional behavior, toppling stability, size effects) Geotechnical engineering (slope stability, tunneling in heterogeneous rocks) Wildfire-induced geotechnical changes in volcanic soils Machine learning applications for rock strength prediction Historical mining techniques and modern geomechanical analysis Interactive geological education methods Recent publications demonstrate a strong focus on: Failure mechanisms in dry masonry and rock structures Machine learning integration in geotechnical characterization Post-fire slope stability assessment Experimental validation of rock friction models 3D modeling of geological features Interactive teaching methodologies in civil engineering

Domingo S. Rodríguez Baenaمشاهده پروفایل

دانشیار

• Database Technologies
• Big Data
• Sensors Data Processing
• +۴ مورد دیگر

Domingo S. Rodríguez Baena is an Associate Professor at the Department of Computer Science (Information Systems) at Universidad Pablo de Olavide, Spain. His research focuses on database technologies, big data programming, and sensor data processing for knowledge extraction, with applications in bioinformatics and computational biology. Databases Design & Management Cloud Computing Final Degree Project Supervision External Internships Coordination His work integrates high-performance computing with bioinformatics to address challenges in gene co-expression networks , recommender systems , and biomedical data analysis . Publications highlight advancements in biclustering algorithms , GPU-accelerated computation , and biomedical informatics tools like CyEnGNet—App and BIGO. Recent collaborations focus on cancer biomarker analysis , coronavirus immune response modeling , and livestock behavior monitoring using sensor data. Research outputs emphasize parallel computing and ensemble methods to tackle data sparsity and scalability issues.

José Luis Lázaro Galileaمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Systems
• Positioning Systems
• +۳ مورد دیگر

José Luis Lázaro Galilea is a Professor in the Department of Electronics at the University of Alcalá. He is affiliated with the GEINTRA research group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (1998) explored infrared modeling for mobile robot guidance. Key research areas include visible light positioning systems, FPGA-based hardware architectures, and remote laboratory development. He has contributed to vehicular VLC systems, indoor navigation algorithms, and biomedical applications like closed-loop insulin delivery systems. Notable projects include the ALCOR initiative for optimizing robot guidance in smart environments and the Helpresponder system for emergency intervention safety. Education: PhD in Electronics from University of Alcalá (1998). Supervised by Dr. Manuel Ramón Mazo Quintas. Academic focus spans digital electronics, embedded systems, and sensor networks. Active in educational innovation, including adapting digital electronics practices for blended learning models. Research emphasizes practical applications of electronic systems in smart spaces, with over 70 publications since 1998. Recent work addresses multipath effects in optical positioning, reconfigurable hardware platforms, and human-centered lighting systems. His interdisciplinary approach integrates robotics, telecommunications, and biomedical engineering. Notable contributions include: Development of high-precision indoor positioning systems using PSD sensors Optimization of sensor deployment via evolutionary algorithms Design of FPGA-based real-time processing architectures Innovative remote laboratory frameworks for STEM education Current projects explore vehicular visible light communication, wearable medical devices, and intelligent transportation systems. His work bridges theoretical advancements with practical implementations in both academic and industrial contexts.

Manuel Ocaña Miguelمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Autonomous Systems
• +۶ مورد دیگر

Manuel Ocaña Miguel is a Professor at the Department of Electronics, University of Alcalá. He leads the Robesafe research group (Service Robotics and e-Safety) focusing on robotics applications for road safety and autonomous systems. His doctoral thesis addressed WiFi-based localization for semi-autonomous robots, supervised by Dr. Luis Miguel Bergasa Pascual. Key research interests include autonomous driving technologies, computer vision, sensor fusion, and energy-efficient systems. His work spans robotics navigation, traffic management systems, and AI-driven safety solutions. Recent publications emphasize autonomous vehicle decision-making, energy optimization in EV charging, and human-robot interaction in healthcare. Notable contributions include real-time obstacle detection algorithms, gaze-based driver monitoring, and green machine learning implementations on embedded hardware. Prof. Ocaña's research integrates multi-disciplinary approaches: combining vision-based SLAM with GPS data, developing explainable AI for driver attention estimation, and optimizing solar module efficiency through thermal engineering. His projects often bridge theoretical advancements with real-world applications in automotive safety and smart energy systems. Publications highlight trends in fusion of sensor data (LiDAR/camera), transfer learning for autonomous systems, and simulation-based validation (CARLA). While no specific grants or awards are listed, his prolific output reflects sustained innovation in robotics and intelligent systems. The Robesafe lab serves as a hub for collaborative R&D in service robotics and e-safety technologies.

• Complex Photonics
• Nonlinear Dynamics
• Optical Communications
• +۴ مورد دیگر

Dr. Apostolos Argyris is an Associate Professor at the Department of Physics, University of the Balearic Islands (UIB), and a member of the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), a joint UIB-CSIC institute. He holds the Spanish I3 certification with three research merits (sexenios), four teaching merits (quinquenios), and seven trienios of academic experience. His academic background includes: B.Sc. in Physics from Aristotle University of Thessaloniki (1999) M.Sc. in Physics (Microelectronics & Optoelectronics) from University of Crete (2001) Ph.D. in Informatics & Telecommunications from National and Kapodistrian University of Athens (2006) His research focuses on complex photonic systems and nonlinear dynamics, with specific interests in coupled laser networks, chaotic oscillators, neuromorphic information processing, unconventional optical communications, photonic computing, optical chaos applications, and physical random number generation. His work combines theoretical models with experimental photonics to develop next-generation computing and communication technologies. Publication analysis reveals a dominant focus on photonic neuromorphic computing, optical reservoir systems, high-speed fiber communications, and interdisciplinary physics frameworks. Recent works demonstrate increasing emphasis on hardware implementations of machine learning concepts using photonic substrates and silicon devices. Awards and recognitions include: TR35 Young Innovators Award 2006 from MIT Technology Review ERICSSON Award of Excellence in Telecommunications (2006) He leads research projects including: INFOLANET (National Project 2023-2026): Information processing with coupled laser networks POST-DIGITAL Plus (EU Commission 2025-2029): Post-digital computing training network As principal investigator of the consolidated research group 'Fotónica Compleja y Sistemas Neuroinspirados' (FoCo-SiNeu), he directs laboratory activities in neuromorphic photonics and complex systems. He currently supervises doctoral candidates in the Physics PhD program and teaches undergraduate/graduate courses including Medical Physics, Complex Photonics, and General Physics Laboratory.

• 3D Modeling
• Real-Time Animation
• Computer Graphics
• +۴ مورد دیگر

Damien Rohmer is a Professor of Computer Science at École polytechnique , Institut Polytechnique de Paris. He leads the VISTA research team at LIX (CNRS UMR 7161) and serves as Deputy Director of LIX since 2024. Current PhD supervisions with ANR/CIFRE funding Open-source tool development for computer graphics education Editorial roles in SCA, MIG, SIGGRAPH conferences His research spans 3D modeling , real-time animation , and user-interactive simulation , with applications in entertainment, medical sciences, and design. Key sub-areas include: Character motion retargeting Multi-scale natural phenomenon simulation Field-based implicit modeling Wearable technology visualization Gesture-controlled animation systems Recent publications in SIGGRAPH , Eurographics , and SCA earned multiple Best Paper/Poster awards in 2024-2025. He co-develops the CGP library for educational 3D programming and maintains community resources for French computer graphics institutions.

• Computer Architecture
• High-Performance Computing
• Hardware Transactional Memory
• +۷ مورد دیگر

Adria Armejach Sanosa is a Senior Lecturer in the Department of Computer Architecture at the Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing in Europe. His research spans computer architecture, high-performance computing, memory systems, and hardware acceleration for genomics and machine learning. PhD from UPC His research interests focus on optimizing computer systems for performance and efficiency, particularly in the areas of hardware transactional memory, cache optimization, RISC-V architectures, and acceleration of bioinformatics workloads. He investigates how to improve data movement, prefetching, and parallelism in large-scale heterogeneous systems. His work combines architectural innovations with practical implementations on real-world HPC platforms. The most recent articles reflect a strong trend towards high-performance computing for genomics, sparse data handling, and efficient hardware/software co-design. Topics include genomics benchmarking on ARM processors, tensor marshaling, RTL simulation scalability, and low-precision training for deep neural networks. These works demonstrate a consistent focus on bridging architectural research with real-world applications in science and AI. HiPEAC Paper Award 2024 HiPEAC Paper Award Armejach has advised several doctoral students, including J. Pavón, G. López, and J. Osorio. He has been involved in numerous competitive R&D+i projects such as Digital Autonomy for RISC-V in Europe, Laboratorio Zettaescala de Barcelona, and Genome Analysis Acceleration on HPC Architectures. These projects are often funded by national and European programs, indicating strong recognition and support for his research. He collaborates extensively within the CAP (High-Performance Computing) research group and with key figures like Miquel Moreto, Mateo Valero, and Osman Unsal. He is a member of the CAP research group and contributes to initiatives like the Laboratory for Open Computer Architecture and systems (RISC-V Chip Development) and the Barcelona Zettascale Lab. These labs focus on open hardware, European technology sovereignty, and next-generation supercomputing. His work on Metro-MPI for RTL simulation and hardware accelerators for databases highlights his contributions to both design automation and data-intensive computing.

• High-performance computing
• Parallel programming
• Computer architecture
• +۷ مورد دیگر

Enrique Morancho Llena is a Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia (UPC). He is an active member of the UPC PM - Programming Models research group and has been affiliated with the CAP - Grup de Computació d'Altes Prestacions (High-Performance Computing Group), one of UPC's most productive research teams with over 120 publications. His academic career spans more than 30 years, with continuous research output from 1994 to the present. Dr. Morancho Llena's research spans multiple areas in computer systems, with particular expertise in high-performance computing, parallel programming models, computer architecture, operating systems, and compiler optimization. His work has evolved from early research in instruction scheduling and memory access optimization to current work on heterogeneous computing, RISC-V architecture, hardware security, and malware detection. He has made significant contributions to OpenMP programming models, GPU acceleration, and virtualization technologies, with publications in top-tier venues including IEEE Transactions on Parallel and Distributed Systems and the Journal of Parallel and Distributed Computing. His recent publications (2021-2024) show a clear trend toward heterogeneous computing architectures, security aspects of computer systems, and RISC-V based technologies. He has published extensively on OpenMP extensions for heterogeneous systems, hypervisor implementations for RISC-V, and security applications including malware detection using opcode analysis. His work bridges theoretical computer architecture concepts with practical implementations for scientific computing and security applications. Dr. Morancho Llena has supervised PhD students, with R. Gran's thesis on "Non-speculative enhancements for the scheduling logic" being one documented example. He has participated in numerous competitive research projects funded by Spanish and Catalan governments, including multiple iterations of the "Computació d'Altes Prestacions" (High-Performance Computing) projects and RISC-V related initiatives under the RIS3CAT program. His collaborations extend across UPC departments and include partnerships with the Barcelona Supercomputing Center. He is an active member of the CAP research group and the PM - Programming Models group, focusing on advanced programming techniques for high-performance systems. His work on the UPC-Computación de Altas Prestaciones series demonstrates long-term leadership in establishing UPC as a center of excellence in high-performance computing research. Current projects include work on RISC-V based accelerators, security in the computing continuum, and trustworthy development environments for cloud services.

Marine Reynaudمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Storage
• Inorganic Materials Synthesis
• Materials Characterization
• +۴ مورد دیگر

Dr. Marine Reynaud is a Research Team Leader at CIC energiGUNE , specializing in electrochemical energy storage materials. She holds a Diplôme d'Ingénieur from Chimie ParisTech and a Master's degree in Chemistry from UPMC-ENSCP, followed by a cum laude Ph.D. in Materials Science from UPJV under Prof. Jean-Marie Tarascon. Scientific Focus : Development of polyanionic electrode materials for Li/Na-ion batteries Expertise : X-ray/neutron diffraction, electron microscopy, solid-state NMR, Mössbauer spectroscopy Contributions : Co-developer of the FAULTS software for microstructural defect analysis Her research explores structure-(micro)structure-electrochemistry correlations, reaction mechanisms, and accelerated materials discovery. She has secured prestigious grants including the Juan de la Cierva fellowship and supervised 12+ students. Scientific Recognition : Prix de thèse 2014 (UPJV) Finalist Premio Jóvenes Investigadores IUMA (2017) Prix du Centenaire Chimie ParisTech (2010)

• Fluid Mechanics
• Computational Fluid Dynamics
• Turbulence Modeling
• +۴ مورد دیگر

Juan Grau Barcelo is a Professor in the Department of Fluid Mechanics at the Escola d'Enginyeria de Barcelona Est (EEBE) of the Universitat Politécnica de Catalunya (UPC). He is actively involved in multiple research groups including GReCEF (Research Group in Fluid Science and Engineering) and CER-H2 (UPC Hydrogen Research Center). His research focuses on fluid mechanics, computational fluid dynamics, turbulence modeling, and environmental fluid dynamics with particular emphasis on microplastics in ocean environments. His work spans both fundamental fluid dynamics research and practical engineering applications, including hydrogen technology and computational methods for fluid flow simulation. Analysis of his recent publications shows a strong trend toward interdisciplinary research combining computational fluid dynamics with environmental science, particularly in the area of microplastic transport and aggregation in ocean turbulence. His work increasingly incorporates machine learning techniques for data reconstruction and virtual interaction with engineering systems, showing adaptation to emerging computational methodologies. His research has been supported by various competitive R&D projects including European Horizon 2020 initiatives and Spanish National Research Programs focused on ecological transition and digital transformation. Grau Barcelo has demonstrated significant contributions to both research and teaching innovation, with recent projects focused on active learning methods in thermofluid mechanics education through flipped lectures and problem-based learning activities. He maintains active collaborations with researchers across multiple institutions, with notable long-term collaborations with Ricardo Torres Camara, Lluís Jofre Cruanyes, and Francesco Capuano, among others.

Albert Banchsمشاهده پروفایل

استاد

• Network Slicing
• 5G/6G Networks
• Mobile Networks
• +۴ مورد دیگر

Dr. Albert Banchs is a Full Professor at Universidad Carlos III de Madrid, affiliated with the Escuela Politécnica Superior. He also serves as Director of IMDEA Networks and has held visiting positions at ETHZ, EPFL, and the University of Texas at Austin. His expertise lies in network slicing, 5G/6G architectures, and AI-driven network management. He holds an M.Sc. and Ph.D. in Telecommunications Engineering from UPC BarcelonaTech (2002). Education: Ph.D. in Telecommunications Engineering, UPC BarcelonaTech (2002) M.Sc. in Telecommunications Engineering, UPC BarcelonaTech (1997) Research Interests: Focuses on next-generation mobile networks, including network slicing, resource allocation, and AI integration. His work emphasizes optimizing 5G/6G architectures for efficiency and scalability. He has pioneered solutions like POSENS and AZTEC, leveraging deep learning and reinforcement learning. Awards: 2023-2024 World's Top 2% Scientists (Stanford/Elsevier) 2016-2017 IEEE Distinguished Lecturer National award for best PhD thesis (2003) Grants & Projects: Led major EU initiatives like 5G-MoNArch (H2020) and coordinated projects such as CARMEN (FP7). Currently manages SUSTAIN-6G (Horizon Europe) and coordinates multi-million euro grants focusing on 6G and network slicing. Labs/Teams: Directs IMDEA Networks and collaborates with industry partners (e.g., Nokia Bell Labs, Google) through joint research and standardization efforts at IETF/IEEE.

• Aerospace Engineering
• Space Debris
• Orbital Mechanics
• +۴ مورد دیگر

Manuel Sanjurjo Rivo is an Associate Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid , affiliated with the Gregorio Millán Barbany University Institute . His work focuses on space debris mitigation, orbital mechanics, and autonomous navigation systems. Research Areas : Collision probability estimation, low-thrust trajectory optimization, space situational awareness, autonomous GNC systems, machine learning for space applications Recent Publications highlight advancements in collision risk quantification , deep learning navigation , and multi-objective space mission design . Projects include monitoring orbital debris , optimal propulsion strategies , and AI-driven hazard avoidance . Key Collaborations : European Space Agency (ESA), GMV Aerospace, SENER, Boeing He supervises theses on topics like space maneuver detection , micro-propulsion systems , and space catalog maintenance . Contact: msanjurj@ing.uc3m.es

Jesús Ureña Ureñaمشاهده پروفایل

استاد

• Electronic Engineering
• Positioning Systems
• Infrared Sensors
• +۳ مورد دیگر

Jesús Ureña Ureña is Full Professor of Electronics at the University of Alcalá, heading the GEINTRA research group in electronic engineering applied to intelligent spaces. His research develops positioning systems using ultrasonic/infrared technologies with applications in assisted living. Research focuses on: Infrared/ultrasonic positioning architectures Sensor fusion for 3D localization FPGA-based signal processing Industrial IoT and edge computing Non-intrusive load monitoring Developed systems include LOCATE-US ultrasonic positioning and QUAPOS visible light positioning. Leads projects on high-frequency signal acquisition and adaptive federated learning. Awarded UAH Social Council Award for 'Ambient intelligence for independent living' (2019).