جست‌وجوی استاد و پژوهشگر

Álvaro de la Llana Calvoمشاهده پروفایل

دانشیار

• Indoor Positioning Systems
• Optical Sensors
• Visible Light Communication
• +۴ مورد دیگر

Álvaro de la Llana Calvo is an Associate Professor in the Department of Electronics at the University of Alcalá. His research focuses on electronic engineering applied to intelligent spaces and transportation, particularly in indoor positioning systems using optical sensors and PSD detectors. He holds a PhD from the University of Alcalá (2020), with a thesis on positioning systems based on optical signals and PSD detectors. His research interests include visible light communication, vehicular VLC systems, remote laboratory frameworks, and human-centered lighting parameters. He contributes to the GEINTRA research group, which develops solutions for smart environments and transport systems. Recent work includes advancements in VLP (Visible Light Positioning) systems, sensor calibration techniques, and reconfigurable hardware platforms for STEM education. Publications highlight innovations in PSD sensor applications, multipath effect mitigation, and flexible strain sensors for biomedical monitoring. His work bridges theoretical advancements with practical implementations in both academic and vehicular contexts. He is actively involved in developing remote laboratory frameworks for digital electronics and control systems education, emphasizing accessibility and reconfigurable hardware. Collaborations focus on integrating lighting infrastructure for positioning and monitoring applications. Labs/Teams: Member of the GEINTRA group, specializing in Electronic Engineering applied to intelligent spaces and transport.

• Electronics Technology
• Biomedical Engineering
• Human-Machine Interfaces
• +۳ مورد دیگر

José Luis Martín Sánchez is an Associate Professor at the University of Alcalá's Department of Electronics. He holds a Doctorate from the same institution with a thesis on EEG-based human-machine interface design (2017). His research focuses on intelligent systems integration in healthcare, robotics, and accessibility technologies. He leads the GEINTRA research group specializing in electronic engineering applications for smart spaces and transport. His work spans biomedical signal processing, assistive technologies, and telemedicine solutions. Education PhD in Electronics, Universidad de Alcalá (2017) Research Interests His primary areas include human-machine interfaces using EEG signals, robotic mobility solutions (e.g., BCI-controlled wheelchairs), and smart infrastructure design. He develops text-based telephony systems for the deaf community and machine learning models for language prediction in Portuguese and Spanish. His work bridges signal processing with practical applications in healthcare and accessibility. Publications Trends His articles emphasize interdisciplinary approaches combining electronics engineering with healthcare applications. Recent work focuses on balance assessment technologies for ADL monitoring (2023), glaucoma diagnostics via ERG analysis (2015), and BCI improvements for robotic navigation (2010-2005). Earlier contributions address text prediction systems, accessibility services, and multi-object tracking algorithms. Labs/Teams He directs the GEINTRA group, which develops smart space technologies and transport solutions. Collaborations include telemedicine systems and assistive robotics projects.

• Renewable Energy Systems
• Electronics Engineering
• Sensor Technology
• +۴ مورد دیگر

Francisco Javier Meca Meca is an Associate Professor in the Department of Electronics at the Universidad de Alcalá. He holds a Ph.D. from the same institution (2001), with a thesis titled Medida de temperatura sin contacto con alta velocidad de respuesta supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Francisco Javier Rodríguez Sánchez. His research focuses on electronics engineering applied to renewable energy systems, sensor technology, and control systems, particularly in thermal measurement, infrared systems, and robotics localization. He is a member of the GEISER research group, dedicated to electronic engineering for renewable energy applications. Key research interests include developing sensor systems for industrial monitoring, thermal infrared sensing for aerospace applications (e.g., Mars 2020 mission), and FPGA-based control systems for power electronics. His work integrates signal processing techniques with hardware implementation, emphasizing real-time systems and embedded electronics. Notable contributions span thermal drift compensation in transimpedance amplifiers, phase-based positioning for mobile robots, and optimal anchor placement algorithms for wireless networks. Publications highlight advancements in infrared positioning systems, predictive current control for power converters, and stability analysis of active power filters. His research bridges theoretical modeling with practical applications in renewable energy, industrial automation, and space technology. Ongoing work likely explores sensor fusion, energy-efficient control systems, and smart environmental monitoring.

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.

• Robotics
• Autonomous Systems
• Computer Vision
• +۳ مورد دیگر

Pedro Alfonso Revenga de Toro is an Associate Professor at the Department of Electronics of the Universidad de Alcalá. His research focuses on robotics, autonomous systems, computer vision, and real-time embedded systems. He holds a Ph.D. from Universidad de Alcalá with a thesis on real-time image processing architectures (2017), supervised by Dr. José Luis Lázaro Galilea and Dr. Alfredo Gardel Vicente. His work integrates advanced AI techniques like deep learning and reinforcement learning into autonomous vehicle systems, emphasizing safety and efficiency. He leads the Robesafe research group, dedicated to service robotics and road safety technologies. Key research areas include autonomous driving decision-making, 3D object detection in dynamic environments, and energy-efficient embedded systems. His contributions span both theoretical advancements (e.g., GAN-based driver attention models) and practical implementations (e.g., ROS-based autonomous vehicles). He has developed educational robotics workshops (Depecabot) to enhance student engagement in electronics and robotics. His publications address challenges in sensor fusion, path planning, and real-time positioning systems for autonomous applications. No scientific awards or grants are explicitly listed, but his extensive publication record reflects sustained contributions to robotics and transportation engineering since the 1990s. His work bridges academic research and real-world applications, particularly in improving road safety and vehicle automation.

Javier Macías Guarasaمشاهده پروفایل

دانشیار

• Intelligent Spaces
• Pipeline Integrity Surveillance
• Distributed Acoustic Sensing
• +۳ مورد دیگر

Javier Macías Guarasa is an Associate Professor in the Department of Electronics at the University of Alcalá. His primary research focuses on intelligent systems for infrastructure monitoring, human activity analysis, and acoustic/sensor-based surveillance. He leads the GEINTRA research group dedicated to applications in smart spaces and transportation. He earned his PhD from the Universidad Politécnica de Madrid with a thesis on speech recognition architectures. His work integrates machine learning, fiber optics, and sensor networks to address challenges in pipeline integrity, environmental sustainability education, and assistive technologies. Key research areas include distributed acoustic sensing in optical fibers, automated evaluation of human functional limitations, and hybrid models for threat detection. His recent projects emphasize real-world deployments of smart surveillance systems and educational analytics. Publications highlight advancements in fiber optic-based pipeline surveillance, multimodal activity recognition, and acoustic localization techniques. He collaborates on EU initiatives like the PIT-STOP project for infrastructure protection.

• Robotics
• Renewable Energy Systems
• Microgrids
• +۴ مورد دیگر

Enrique Santiso Gómez is a Professor in the Department of Electronics at the University of Alcalá, specializing in electronic engineering applications for intelligent transport and renewable energy systems. His work bridges theoretical control strategies with real-world implementations in robotics and energy infrastructure. He earned his PhD from the University of Alcalá in 2003 with the thesis Absolute positioning of a mobile robot from brand recognition , supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Jesús Ureña Ureña. His educational background established the foundation for his current research trajectory in mobile robotics and sensor systems. His research focuses on event-triggered and aperiodic control systems applied to diverse domains. Key areas include Robotics: Trajectory tracking, indoor positioning, and multi-robot coordination Renewable Energy: Blockchain-based microgrid management and photovoltaic integration Transport Systems: Railway safety with virtual balises and vehicle platooning Sensor Innovation: Laser scanning for state estimation and pressure monitoring in industrial processes Analysis of his 15 most recent publications (2022-2013) reveals a consistent evolution toward resource-efficient control architectures . Early work emphasized robot localization and event-based sensing (2013-2017), transitioning to energy-focused applications (2020-2022) where blockchain strategies now optimize community microgrids. The interdisciplinary nature spans electrical engineering, computer science, and transportation engineering with recurring themes of delay tolerance and measurement error reduction. He actively contributes to two major research groups: GEINTRA : Electronic Engineering Applied to Intelligent Spaces and Transport GEISER : Electronic Engineering Applied to Renewable Energy Systems These groups drive his collaborative projects in smart infrastructure and sustainable energy solutions.

Froilan Cesar Martinez Dopicoمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Matrix Theory
• Structured Matrices
• +۵ مورد دیگر

Froilan Cesar Martinez Dopico is a Full Professor of Applied Mathematics in the Department of Mathematics at Charles III University of Madrid, where he has been a faculty member since 1991. He served as Department Chair from 2020-2022 and currently serves as Editor-in-Chief of Linear Algebra and its Applications. His extensive service includes Vice-President of the International Linear Algebra Society and membership on the prestigious Householder Committee. Education: BSc in Theoretical Physics, Universidad Complutense de Madrid (1987) PhD in Atomic, Molecular, and Nuclear Physics, Universidad Complutense de Madrid (1992) Professor Dopico's research focuses on Numerical Linear Algebra and Matrix Theory, with particular emphasis on structured matrices, matrix perturbation theory, and polynomial/rational eigenvalue problems. His work bridges theoretical developments with practical computational algorithms, contributing significantly to understanding accuracy and stability in numerical computations. He has developed novel approaches for matrix pencils, linearizations, and structured matrix polynomials that have advanced the field. His scientific contributions have been recognized through his election as SIAM Fellow in 2019. This prestigious honor acknowledges his outstanding contributions to applied mathematics and computational science, particularly in advancing the theoretical foundations and practical applications of numerical linear algebra. Professor Dopico has secured continuous research funding since 2000 as Principal Investigator on multiple grants from Spanish government agencies. He has led research teams of 8-11 members on projects related to structured numerical linear algebra, matrix polynomials, and matrix equations. His editorial leadership includes serving as Editor-in-Chief for two major journals in the field and associate editor for several others, shaping the direction of research in numerical linear algebra worldwide.

• Applied Mathematics
• Computational Physics
• Reduced Order Modeling
• +۳ مورد دیگر

Filippo Terragni is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His interdisciplinary research spans applied mathematics, computational physics, and biomathematics, with focus areas in reduced order modeling, plasma dynamics, and angiogenesis. Dr. Terragni develops advanced numerical methods including LUPOD-based collocation techniques and adaptive POD frameworks for efficient simulation of complex systems. Applications range from space propulsion technologies to tumor-induced angiogenesis models and epidemic spread prediction. His recent work includes statistical theory of angiogenesis equations, soliton-driven biological processes, and plasma instabilities in magnetic nozzles.

• Algorithms
• Medical Diagnosis
• Artificial Intelligence
• +۵ مورد دیگر

Alfredo Vellido Alcacena is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Terrassa School of Industrial, Aerospace and Audiovisual Engineering and the Department of Computer Science . He leads research in Artificial Intelligence , Machine Learning , and their applications in Medical Diagnostics and Data Mining . His work bridges computational methods with healthcare challenges, focusing on interpretable AI models for personalized medicine, neuro-oncology, and biomedical imaging analysis. Key affiliations include the IDEAI-UPC (Intelligent Data Science and AI Research Group) and SOCO (Soft Computing Group) . He has coordinated multiple competitive R+D projects, including initiatives on integrating magnetic resonance spectroscopy with multimodal imaging for medical education and personalized hemodialysis therapy design. Vellido collaborates with institutions like the Barcelona Supercomputing Center and Siemens on AI-driven healthcare solutions. His research emphasizes explainable machine learning, drug profile prediction, and G protein-coupled receptor analysis. Over 374 documented activities span journal articles, conference presentations, and funded projects. Notable contributions include advancements in MRI-based tumor analysis, OCTA imaging for diabetic retinopathy, and computational intelligence in bioinformatics.

• Mathematical Physics
• Geometric Mechanics
• Optimal Control
• +۴ مورد دیگر

Alexandre Anahory is an Assistant Professor of Mathematics at IE University, Spain. He holds a Ph.D. in Mathematics from the Autonomous University of Madrid (2021) and previously completed a B.Sc. in Physics (2014) and M.Sc. in Mathematics (2016) at the University of Lisbon. His research bridges mathematics, physics, and engineering, focusing on geometric mechanics, optimal control, and nonholonomic systems. He has contributed to top-tier journals like Proceedings of the Royal Society A and Numerische Mathematik , and organized conferences such as the XXX International Fall Workshop on Geometry and Physics. Key research interests include: Nonholonomic systems and virtual constraints Geometric control theory and robotics applications Numerical simulation of mechanical systems Optimal control with obstacle avoidance His recent publications (2023–2025) emphasize geometric approaches to control systems, with notable work on Hamiltonization of mechanical systems, contact geometry in dissipative systems, and numerical methods for Riemannian manifolds. He actively participates in STEM outreach activities like the European Researchers’ Night.

Enrique Macias Virgosمشاهده پروفایل

استاد

• Geometry and Topology
• Algebraic Topology
• Differential Geometry
• +۵ مورد دیگر

Enrique Macias Virgos is a Professor at the Department of Mathematics, Faculty of Mathematics, University of Santiago de Compostela. He is affiliated with the Galician Mathematical Research and Technology Center (CITMAga) and has been active in research since 1978. Research Areas: Geometry and Topology, with focus on Algebraic Topology (55-XX), Manifolds and Cell Complexes (57-XX), Differential Geometry (53-XX), Global Analysis (58-XX), and Linear/Multilinear Algebra (15-XX). Collaborations: Notable co-authors include María José Pereira-Sáez, David Mosquera-Lois, Jose Antonio Vilches, and Daniel Tanré. Research Trends: His work spans the Lusternik-Schnirelmann category in simplicial complexes and foliations Cayley transforms and symplectic matrices Homotopic distance theory and motion planning Topological invariants in diffeological spaces and posets Applications to quaternions and Lie groups

• Operator Theory
• Fixed Point Theory
• Nonlinear Functional Analysis
• +۷ مورد دیگر

David Ariza Ruiz is an Assistant Professor in the Department of Mathematical Analysis at the University of Seville. He earned his PhD in 2013 with a thesis on fixed point theorems for weakly contractive and firmly nonexpansive mappings. His research is centered on nonlinear functional analysis, operator theory, and metric fixed point theory, particularly in geodesic and Banach spaces. PhD, University of Seville, 2013 His research interests include Operator Theory , Fixed Point Theory , Nonlinear Functional Analysis , Geodesic Spaces , Variational Inequalities , and Nonexpansive Mappings . He has made significant contributions to the study of firmly nonexpansive mappings, Chebyshev sets, and contractive-type conditions in abstract spaces. His work often bridges pure analysis with applications in optimization and differential equations. His 15 most recent publications reveal a consistent focus on fixed point theory, nonexpansive mappings, and variational problems in metric and Banach spaces. Key themes include the asymptotic behavior of iterative processes, existence principles in infinite dimensions, and geometric properties in geodesic spaces. These works are published in specialized journals such as Fixed Point Theory , Journal of Nonlinear and Convex Analysis , and Transactions of the American Mathematical Society , indicating strong recognition in the mathematical community. He has not received any scientific awards mentioned in the provided texts. David Ariza Ruiz has collaborated with several leading mathematicians, including Genaro López Acedo, Jesús Garcia-Falset, and Antonio Jiménez-Melado. His work has been cited over 200 times, reflecting its impact in the field. He has not published any grants or funding details in the provided sources. He is involved in research on geodesic spaces, fixed point algorithms, and nonlinear operators, often working within theoretical frameworks that extend classical results to more abstract metric settings.

• Information systems
• Database design and management
• Text indexing and retrieval algorithms
• +۵ مورد دیگر

Dr. María de los Ángeles Saavedra is a researcher at the University of A Coruña (UDC) , affiliated with the Faculty of Computer Science in the Department of Computer Science and Information Technology . She has completed 4 five-year teaching merit evaluations and 4 six-year research merit evaluations. Her research focuses on information systems , text indexing algorithms , and digital content management . Key trends in her recent work include housing market analysis databases , cultural heritage GIS applications , and business intelligence systems . She has participated in software patent projects and developed systems for digital libraries, perfumery inventory management, and multi-device educational platforms. Her research has been funded by entities including the European Union , Ministry of Science and Innovation , and Galician Innovation Agency .

Gabriel Cardona Juanalsمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Phylogenetic Networks
• +۳ مورد دیگر

Gabriel Cardona Juanals (b. 1972) is a Full Professor at the Department of Mathematical and Computer Sciences, University of the Balearic Islands, currently serving as Director of the Higher Polytechnic School since 2021. Holding dual degrees in Mathematics (1996) and Telecommunications Engineering (1997) from UPC, he obtained his PhD in Mathematics (2002) from the same institution. His academic journey includes a Researcher Training grant at UPC's Applied Mathematics II department (1996-2000) before joining UIB in 2000. Mathematics degree (1996) - UPC Telecommunications Engineering degree (1997) - UPC PhD in Mathematics (2002) - UPC His research spans two major domains: Algebraic Number Theory (initial focus on genus 2 curves and automorphism groups) and Bioinformatics/Computational Biology (phylogenetic network analysis, tree-child networks, and evolutionary metrics). He has published over 75 works, including 30+ in indexed journals, with recent emphasis on solar energy applications through the OTSun ray-tracing software suite. Key research areas include: Phylogenetic network comparison metrics Algebraic structure of evolutionary trees Optical analysis of solar collectors Automorphism groups in algebraic geometry He coordinates multiple projects with national and European funding, and leads the Bioinformatics and Computational Biology research group (BIOCOM). His teaching focuses on abstract algebra, discrete mathematics, and computational methods across mathematics, telematics, and computer engineering programs.