Find Academic Supervisors

• Earth Physics
• Climate Science
• Remote Sensing
• +3 more

Francisco J. Tapiador is a Professor at the Universidad de Castilla-La Mancha , affiliated with the Department of Environmental Sciences. His research spans Earth Physics, Climate Science, and Remote Sensing, with a focus on precipitation modeling, climate classification systems, and data fusion techniques. He leads the Earth Physics research group at UCLM and collaborates extensively with international institutions. Key Research Areas : Earth Physics Climate Modeling Satellite Meteorology Data Fusion Algorithms Environmental Uncertainty Quantification Publication Trends : Dr. Tapiador's recent work emphasizes high-resolution precipitation merging via radar corrections, machine learning for storm detection, and uncertainty quantification in climate models. His articles integrate Remote Sensing , Machine Learning , and Climate Informatics to address extreme weather and hydrometeorological hazards. Peer Review Leadership : Atmospheric Research Chaos, Solitons and Fractals Chemosphere Heliyon Journal of Computational Science Meteorology and Atmospheric Physics Water Resources Research Collaborative Networks : Andrés Navarro Eduardo García-Ortega Gyuwon Lee Kyo-Sun Sunny Lim Ziad S. Haddad Technological Impact : His work bridges fluid dynamics , entropy-based algorithms , and neural networks to advance satellite precipitation estimation and climate model validation. Current projects include multi-satellite data correction and climate-human system couplings.

DAVID LOPEZ VILARIÑOView profile

Professor

• Computer Architecture
• Computer Vision
• FPGA Acceleration
• +3 more

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.

Dionisio Rodríguez-EsparragónView profile

Professor

• Remote Sensing
• Image Processing
• Data Analysis
• +5 more

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.

Álvaro Hernández AlonsoView profile

Professor

• Mobile Robotics
• Multisensor Integration
• Ultrasonic Sensory Systems
• +5 more

Álvaro Hernández Alonso is a Full Professor in the Department of Electronics at the University of Alcalá (UAH). He previously served as Secretary of the Electronics Department and coordinated the GEINTRA research group (2021–2023), which includes 24 researchers and over 25 active projects. His research focuses on mobile robotics, multisensor integration, ultrasonic systems, NILM techniques, FPGA implementations, and electronic technologies for transport. Education: PhD in Electronics and Systems (University Blaise Pascal & UAH) Electronics Engineering Degree (UAH) Research interests include positioning systems (infrared, ultrasonic, visible light), energy monitoring for assisted living, and embedded hardware architectures. He has secured €1.9M in funding (public and private) over the past decade, leading 4 projects as Principal Investigator. His work has produced 41 indexed journal papers (25 Q1), 6 patents, and 65 conference contributions. Awards: Best Thesis Awards at UAH for two doctoral students under his supervision. He has advised 30+ student theses and 9 doctoral dissertations, many in international co-supervision programs. Funding highlights: 19 public projects (€900k total) and 10 private projects (€1.1M total). His research has achieved 4 consecutive positive evaluations (1997–2020) from Spain's National Research Evaluation Commission.

Mercè Vall-llosseraView profile

Associate Professor

• Remote Sensing
• Environmental Monitoring
• Electromagnetics
• +3 more

Mercè Vall-llossera is an Associate Professor at the Polytechnic University of Catalonia (UPC), specifically in the Department of Signal Theory and Communications since 1997. She holds a Telecommunication Engineering degree (1990) and a Doctorate in Telecommunication Engineering (1994) from UPC. Her career includes a sabbatical at Concordia University (Montreal, 1996–97), where she applied FDTD methods to study mobile telephone effects on human bodies. Her research focuses on remote sensing, initially in electromagnetics and antenna design, later transitioning to geophysical parameter retrieval (soil moisture/ocean salinity) and satellite data applications. She contributed significantly to the ESA's Soil Moisture and Ocean Salinity (SMOS) mission, launched in 2009. Current work emphasizes environmental monitoring using satellite data for drought/flood prediction, crop yield analysis, forest fire detection, and Arctic ice clustering to address climate change impacts. Her technical expertise spans microwave radiometry, data fusion techniques, and algorithm development for high-resolution mapping. She collaborates on projects like the Remote Sensing Laboratory's SMOS validation efforts and CubeSat technology (UPCSAT-1). Her contributions bridge theoretical electromagnetics with applied environmental science, emphasizing interdisciplinary solutions for global environmental challenges.

• Nonlinear Functional Analysis
• Calculus of Variations
• Partial Differential Equations
• +5 more

Dr. Joan Duran Grimalt is an Associate Professor at the University of the Balearic Islands (UIB) , affiliated with the Department of Mathematical Sciences and Computer Science . He is a member of the Mathematical Image Analysis (TAMI) research group and Institute for Community Code Computing Applications (IAC3) . His work bridges nonlinear functional analysis , calculus of variations , and deep learning for applications in image processing and computer vision . PhD in Mathematics (2016) from UIB MSc in Advanced Mathematics and Mathematical Engineering (2011) from UPC BSc in Mathematics (2010) from UIB His research integrates partial differential equations , convex optimization , and deep unfolding architectures to solve problems in satellite imaging , hypersharpening , and low-light image enhancement . Recent work focuses on nonlocal regularization, multi-head attention mechanisms, and model-guided neural networks. He has led two research projects and collaborated with institutions such as the French National Centre for Space Studies (CNES) and the Balearic Islands Oceanographic Centre . Key contributions include: State-of-the-art methods for pansharpening and hypersharpening using nonlocal modules Unfolding frameworks combining variational models with deep learning Retinex-based enhancement techniques for low-light imaging He has supervised PhD students Daniel Torres and Francesc Alcover and taught courses like Partial Differential Equations , Fundamentals of Mathematics , and Mathematical Models for Image Restoration across multiple degrees including Mathematics, Computer Engineering, and Chemistry. His personal website provides further details.

• Robotics
• Artificial Intelligence
• Sensor Systems
• +4 more

Francisco Javier Acevedo Rodríguez is an Associate Professor at the University of Alcalá's Department of Signal and Communications Theory. Specializing in Robotics, Artificial Intelligence, and Sensor Systems , his research focuses on bioanalysis, multisensory integration, assistive technologies, and embedded AI systems . He leads the BAB_Group (Bioanalysis and Biosensors Group) and GRAM (Multisensorial Recognition and Analysis Group). He holds a PhD in Signal Processing from the University of Alcalá (2009), with a thesis on signal processing techniques for gas/liquid sensor systems. His work bridges theoretical signal processing with practical robotics applications, emphasizing real-world deployments in healthcare and navigation domains. Key technical contributions include semantic navigation systems, action recognition algorithms, and low-cost assistive robots for neurodevelopmental disorder patients. His research has addressed challenges in indoor localization, fall detection, and real-time video processing using ROS and AI-driven perception frameworks. He has published extensively in robotics, computer vision, and sensor systems since 2000. Notable work includes the SEMNAV navigation framework (2025) and a validated assistive robotics platform for daily living support (2021-2022).

Alfonso de Hoyos Fernández de CórdovaView profile

Researcher

• Transport Engineering
• Automotive Engineering
• Neuroscience
• +7 more

Alfonso de Hoyos Fernández de Córdova is affiliated with the Higher Polytechnic School at Antonio de Nebrija University , specializing in Transport Engineering and Infrastructure within the GREEN Research Group on Automotive Engineering . He holds dual PhDs: one in Neuroscience (2011, Complutense University of Madrid) for work on Synchronization and coherence in brain activity , and another in Automotive Engineering (2025, Universidad Antonio de Nebrija) for research on Non-invasive methodology for vehicle suspension parameter identification . Education: PhD in Neuroscience, Complutense University of Madrid (2011) PhD in Automotive Engineering, Universidad Antonio de Nebrija (2025) His research spans Transport Engineering , Automotive Systems , Cardiology , and Biomedical Imaging , focusing on hemodynamic assessment of coronary circulation , non-destructive testing of magnetic materials , computational fluid dynamics , and magnetoencephalography . He has pioneered methodologies for intracoronary pressure and flow velocity analysis and microvascular conductance evaluation , integrating CFD simulations with clinical diagnostics to improve cardiovascular interventions. Email: ahoyos@nebrija.es