Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.
David Lopez Vilariño is a **Professor** at the **University of Santiago de Compostela**, affiliated with the **Department of Electronics and Computing** within the **Faculty of Physics**. He earned his PhD in 2001 with a thesis titled *"Active contours at the pixel level: design and implementation on cellular network architectures,"* advised by Dr. Diego Cabello Ferrer. His research focuses on **Computer Architecture**, **FPGA Acceleration**, **LiDAR Data Analysis**, and **Embedded Systems**, with notable contributions to LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He is part of the **ARQCOMP (Computer Architecture)** and **Artificial Vision** research groups. His work spans topics such as high-performance computing, parallel processing, and hardware optimization for vision-capable systems. Key projects include developing FPGA-based solutions for real-time video surveillance, retinal vessel analysis, and autonomous navigation systems. Publications emphasize **LiDAR data processing**, including algorithms for road detection, power line characterization, and 3D point cloud analysis. He also pioneered tools like the *Open Lidar Visualizer and Analyser* for 3D stereoscopic visualization. His expertise bridges hardware design and software development, particularly in leveraging FPGAs for embedded vision systems. No scientific awards or grants are explicitly listed, but his prolific publication record highlights sustained innovation in computer vision and geospatial technologies. His research team collaborates on projects involving manycore systems, GPU acceleration, and reconfigurable computing architectures.
Adrián García Gutiérrez is a Professor in the Department of Aerospace Engineering at the University of León's College of Engineering. His research focuses on aerospace systems, uncertainty quantification in CFD, atmospheric boundary layer modeling, and airship technology. Recent publications highlight his work in parallel orbital propagation algorithms, stochastic optimization of high-altitude platforms, and neural network applications for wind profiling. Key trends include aerodynamic modeling under uncertainty and interdisciplinary approaches combining turbulence analysis with LiDAR measurements. He contributes to educational innovation in aerospace engineering through simulation-based learning tools and leads the GITA Tecnología Aeroespacial research group.
Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life
Dionisio Rodríguez-Esparragón is a Professor at the University of Las Palmas of Gran Canaria (ULPGC), affiliated with the Institute of Oceanography and Global Change (IOCAG). He holds B.S., M.S., and Ph.D. degrees from ULPGC and the University of Granada. His research focuses on remote sensing applications for environmental monitoring, image processing, and oceanography. Notable collaborations include work with the Image Analysis Group at the University Politécnica de Madrid and a 2022–2024 requalification stay at the University of Pavia. Education: B.S. in Engineering (1990) – ULPGC M.S. in Physics (2010) – University of Granada Ph.D. in Remote Sensing (2016) – ULPGC Research interests include multispectral satellite image analysis, ecosystem monitoring, and climate change impacts. His work bridges environmental science with technological advancements like LiDAR and UAV-based imaging. Recent projects address volcanic activity tracking, wildfire damage assessment, and African development challenges via remote sensing. Grants and funding have supported initiatives like fusion of multisensor data for coastal ecosystems and analysis of atmospheric-oceanic parameters. His contributions extend to academic collaboration and peer review in global institutions. Labs/Teams: Active in the Medical Data Analytics group at the Center for Biomedical Research (UPM) and leads the IOCAG's remote sensing operational products research.
Francisco Manuel Fernández Rivera is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Faculty of Physics. His research focuses on high-performance computing, parallel algorithms, and LiDAR data analysis. He leads the ARQCOMP research group and is part of the Center for Research in Intelligent Technologies (CITIUS). His work addresses challenges in NUMA systems optimization, sparse matrix computations, and geospatial data processing. He holds a PhD from the University of Santiago de Compostela (1988), with a thesis on algorithm partitioning in hypercube computers. His research spans parallel computing frameworks, LiDAR-based infrastructure analysis, and performance modeling of distributed systems. Recent projects include developing thread migration strategies for NUMA architectures and creating tools for LiDAR data visualization and simulation. Key contributions include advancements in LiDAR-based pathfinding, energy-efficient NUMA system management, and parallelization techniques for irregular codes. His work bridges theoretical computer architecture with practical applications in urban planning and environmental monitoring.
Carlos Molina Clemente is an Associate Professor of Computer Architecture at Rovira i Virgili University in Tarragona, Spain. He holds a M.Sc. in Computer Engineering (Universitat Politècnica de Catalunya, 1996) and a Ph.D. in Computer Science (UPC, 2005). His research focuses on Computer Architecture, Mobile/Sensor Networks, and Cloud Computing. He leads the Cloudlab research group and coordinates initiatives like GTDAWIN and BIOGEI. Key research areas include multicore scheduling, LoRaWAN protocols, LIDAR data analysis, and serverless computing. He has published over 50 articles in top-tier conferences/journals and supervised three doctoral theses. His work spans projects on cache architectures, real-time systems, and educational multicomputing solutions. Affiliations include the Department of Computer Engineering and Mathematics (DEIM) at URV, with offices at Campus Sescelades (Avinguda Països Catalans 26, Tarragona). Research highlights include contributions to non-uniform cache policies, predictive mobile network algorithms, and energy-efficient sensor networks.
Roberto Javier López Sastre is an Associate Professor of Signal Theory and Communications at the University of Alcalá. He holds a Ph.D. from the same institution (2010), focusing on 'Visual vocabularies for category-level object recognition' under Dr. Saturnino Maldonado Bascón's supervision. His research spans machine learning, computer vision, robotics, and astrophysics. Key areas include Bayesian neural networks for stellar dating, semantic navigation in robotics, and AI-driven medical assistive technologies. Affiliation: Department of Signal Theory and Communications, University of Alcalá Research Group: GRAM (Multisensorial Recognition and Analysis Group) His work interfaces computational methods with real-world applications, such as assistive robotics for neurodevelopmental disorder patients and deep learning models for astrophysical parameter estimation. Recent contributions include semantic segmentation-driven navigation systems and Bayesian approaches to black hole solutions. Publications emphasize interdisciplinary applications of AI, including live video processing, continual learning frameworks, and physics-informed neural networks. Ongoing research explores the intersection of robotics, healthcare, and astrophysics through collaborative projects. López Sastre's GRAM group focuses on multisensory data analysis for recognition and navigation challenges. His technical expertise spans signal processing, probabilistic modeling, and embedded AI systems.
José Antonio Huesca Tortosa is an Assistant Professor Doctor in the Department of Architectural Constructions at the University of Alicante , Spain. Since 2004 (with a brief interruption from 2019–2020), he has taught over 2,500 hours of official courses in Architectural Technology, Construction Materials, Quality Control, Heritage Management, and Seismic Risk Prevention. He is a member of the Architectural Restoration Research Group (GIRAUA-CICOP) and co-founder of the spin-offs Arquinversa (heritage digitization) and Sismo Edificación (seismic research and outreach). Education PhD in Materials, Structures & Soil Engineering: Sustainable Construction, University of Alicante, 2021 Master’s in Secondary Education Teaching (specialty Civil Construction & Drawing), University of Alicante, 2020 Post-graduate specialization in Digital Heritage Documentation, CSIC-Incipit, 2019 Graduate in Architectural Technology & Technical Architecture, University of Alicante, 1994–2011 Master in Building Management (Heritage Management track), University of Alicante, 2008 Research Interests His core research revolves around sustainable construction , seismic vulnerability assessment , heritage restoration , and the digitalization of built heritage through advanced surveying technologies (LiDAR, UAV photogrammetry, HBIM). He integrates geomatics, materials science, and structural engineering to develop methodologies for preventive conservation, emergency intervention, and risk mitigation in historic and contemporary buildings. Current projects focus on earthquake early-warning systems, rapid damage assessment protocols, and eco-compatible consolidation treatments for calcareous stones. Recent Publications & Trends Over the last five years he has authored 12 journal papers and 4 book chapters. The works exhibit a clear trajectory from technological innovation (LiDAR, UAV photogrammetry) to applied heritage engineering (structural health monitoring, restoration of Gothic and Renaissance buildings) and multi-hazard assessment (seismic–radon correlations). Interdisciplinary collaboration is a hallmark, with studies spanning from archaeological sites in Italy and Spain to real-time seismic monitoring networks in southeastern Spain. Scientific Awards & Recognition One six-year research period (sexenio) accredited by ANECA Two five-year teaching periods (quinquenios) recognized by University of Alicante Coordinator or collaborator in 15 competitive research projects funded by Spanish Ministries and regional governments Grants, Projects & Advising He has participated in 15 publicly funded R&D projects (PID, CGL, ARQ, GV programs) and 36 private contracts, coordinating 4 technology-transfer actions since 2023. Notable projects include the European Seismological Commission studies on radon-seismicity correlations and the development of an earthquake early-warning system for Alicante province. He has supervised or co-supervised 27 bachelor’s and master’s theses in the last five years, fostering student involvement in heritage digitization and seismic risk scenarios. Labs & Teams He operates within the Architectural Restoration Research Group (GIRAUA-CICOP) , leveraging the University of Alicante’s Geomatics & Heritage Conservation Laboratory . The group maintains high-precision terrestrial and aerial laser scanners, UAV platforms, and advanced materials testing equipment, enabling integrated workflows from field data capture to structural modeling and conservation treatment design.
Dr. Lucheng Peng is a Research Fellow at the Institute of Photonic Sciences (ICFO) , working within the Functional Optoelectronic Nanomaterials department. His research focuses on advanced nanomaterials for optoelectronic applications. PhD in Chemistry from Jilin University (CN) Research spans nanomaterials , quantum dots , and solar cells , with a strong emphasis on infrared detection and semiconductor engineering . Recent work highlights heavy-metal-free quantum dots and AgBiS2 nanocrystals for sustainable optoelectronics. Key publication trends include core-shell heterostructures , vacancy-driven material optimization , and anisotropic growth techniques for nanocrystals. His work bridges materials science and applied photonics .
Josefa Gómez Pérez is a Professor in the Department of Computer Science at Universidad de Alcalá. She holds a PhD in Computer Science from the same institution (2011), focusing on CAD tools for electromagnetic analysis of complex structures under supervision of Dr. Manuel Felipe Cátedra Pérez and Dr. Iván González Diego. Her research spans multiple areas including antenna design optimization, numerical methods for engineering problems, gamification in education, medical image analysis, and computer vision applications. She is affiliated with research groups such as the Climate Physics Group (CPG), Group of Advanced Numerical Techniques (GTNA), and TIFyC (Information Technologies for Training and Knowledge). Her work frequently integrates bio-inspired algorithms and web-based tools for solving engineering challenges. Key areas of contribution include developing simulation tools for radio propagation using OpenStreetMap data, optimizing antenna positioning with genetic algorithms, and enhancing educational engagement through gamified platforms. She has also explored interdisciplinary topics like class imbalance mitigation in medical AI and gender perspectives in engineering career choices. Josefa has authored numerous publications in top venues, with recent focus on AI-human interaction, 3D reconstruction techniques, and educational technology innovations. Notable tools she has developed include the NewFasant Suite, DSEXAMS automated questionnaire system, and LearningRlab educational package.
Alejandro Gómez Pazo is a Lecturer in the Department of Geography and Geology at the University of León, Spain. He is affiliated with the College of Philosophy and Letters and the research group GEOPAT (Geomorphology, Landscape, and Territory). His work integrates UAVs, RFID sensors, and open-source tools to study coastal and mountain geomorphological processes in the context of global change. PhD in Geography and Management Planning, University of Santiago de Compostela (2022) MSc in GIS and Remote Sensing, Universidad de Alcalá (UAH) Experience at CSIC, British Geological Survey, and University of Glasgow His research focuses on coastal dynamics in Galicia, Azores, and Antarctica using cutting-edge technologies. He has pioneered RFID sensor applications to track boulder displacements and developed open-source tools like ODSAS for coastal analysis. His work addresses climate change impacts on shore platforms, glacial landforms, and wildfire ignition risk modeling. Recent publications highlight his expertise in geomorphological mapping, structural control analysis, and semi-automated erosion rate quantification. He has participated in 10+ months of international research stays and led fieldwork in Antarctica (2024) and Azores (2022-2023). Scientific Awards: Jesús García Fernández Award (AGE), María Jesús Ibañez Award (AQUA/SEG) Grants: FPU (Spanish government), Galician government contract, Fulbright research stay He actively engages in science communication through YouTube, monologue contests, and mass media, while serving on organizing committees for national conferences and co-guiding IAG field trips.
Martín Bayón Gutiérrez is an Assistant Professor at the Department of Electrical Engineering and Systems and Automation, within the School of Industrial, Computer Science and Aerospace Engineering at the University of León. His research focuses on Systems Engineering and Automation, with a strong emphasis on robotics, IoT security, and machine learning applications. Thesis: Percepción y optimización en plataformas robóticas autónomas (2025) Advisors: Dr. Maite García-Ordás, Dr. José Alberto Benítez Andrades His work spans multiple domains including autonomous robotics, cybersecurity for IoT environments, and biomedical applications. Recent publications demonstrate expertise in SLAM algorithms, network security, and multi-sensor fusion techniques. Research projects include: CAD2SLAM adaptive mapping systems IoT-based smart office QoS optimization CoAP attack detection in IoT networks ASD detection through social media text analysis LiDAR and camera sensor fusion for road detection
Victor Manuel Brea Sánchez is a Professor at the University of Santiago de Compostela , affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering . He holds a PhD from the same university, completing his thesis on Design of a mixed-signal CMOS integrated circuit for pixel-level snakes in 2003 under the guidance of Dr. Diego Cabello Ferrer and Dr. David López Vilariño. His research focuses on Computer Vision , CMOS Sensors , and Embedded Systems , with particular emphasis on real-time vision systems , time-of-flight imaging , and deep learning . He leads the Artificial Vision research group and contributes to the Center for Research in Intelligent Technologies (CITIUS) . His recent work includes advancements in high dynamic range vision sensors , event-based cameras , and analog computing-in-memory architectures . He has pioneered energy-efficient algorithms for multi-object tracking and small object detection in videos, often implemented on low-power embedded systems. Key contributions include the HOPBAS10K CMOS vision sensor for background subtraction and the STDnet convolutional neural network for small target detection. His research bridges hardware design (e.g., CMOS sensor architectures) with software (e.g., deep learning algorithms), emphasizing algorithm-hardware co-design for real-world applications like traffic monitoring and biomedical systems. Notable projects include the iCaveats initiative integrating vision architectures for embedded systems and a low-power voltage reference circuit for implantable devices. He has also developed a capacitance-based wireless sensor network for agricultural pest monitoring.
Ulises Diéguez Aranda is a researcher at the University of Santiago de Compostela , Department of Agroforestry Engineering. His work focuses on forest growth modeling, biomass estimation, and remote sensing applications in forestry. Key affiliations: University of Santiago de Compostela Education: PhD thesis on dynamic growth models for Pinus sylvestris (2004, University of Santiago de Compostela) His research interests include: Development of silvicultural models for Galician forests Integration of LiDAR technology in forest inventory Parameter estimation for tree growth and yield Competition dynamics in forest stands Publication trends (2000-2024) show expertise in: Coniferous and hardwood species modeling Climate adaptation strategies Forest fire prevention through canopy variable analysis Multi-objective optimization in forest planning Thesis direction highlights: Supervised 8 theses on topics like LiDAR applications, biomass modeling, and forest management optimization Collaborations with institutions in Spain, Mexico, and Turkey
