جست‌وجوی استاد و پژوهشگر

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

José Antonio Jiménez Calvo is an Associate Professor at the University of Alcalá, affiliated with the Department of Electronics. He leads the GEISER research group focused on Electronic Engineering Applied to Renewable Energy Systems. His academic background includes a Doctorate from the University of Alcalá (2004), where his thesis explored ultrasonic classification and localization techniques supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Jesús Ureña Ureña. Jiménez Calvo's research spans advanced sensor systems, signal processing, and infrastructure monitoring. Key areas include railway safety (e.g., rail breakage detection via PCA), renewable energy systems, and ultrasonic applications for 3D object recognition. His work integrates artificial neural networks, adaptive sonar technologies, and algorithmic improvements for precision in manufacturing and environmental monitoring. Publications highlight contributions to sensor fusion for obstacle detection, short-circuit impedance characterization, and quality control in pharmaceutical glass production. Though no formal awards are listed, his prolific output (over 20 publications from 2003–2018) demonstrates sustained academic impact. No advisory roles or grants are explicitly mentioned, but his involvement in projects like SIAMO (assisted mobility) underscores applied engineering applications. Labs/Teams: Primary affiliation with the GEISER group, collaborating on interdisciplinary projects blending electronics with renewable energy and transportation safety systems.

• Robotics
• Autonomous Vehicles
• Sensor Fusion
• +۶ مورد دیگر

Ángel Llamazares Llamazares is a Researcher at the Department of Electronics, University of Alcalá. His work focuses on robotics, autonomous systems, and sensor fusion technologies. He is affiliated with the Robesafe (Service Robotics and e-Safety) and former INVETT (Intelligent Vehicles and Traffic Technologies) research groups. He earned his PhD in 2017 with the thesis Laser-based detection and tracking of moving obstacles to improve perception of unmanned ground vehicles , supervised by Dr. Manuel Ocaña. His research spans topics like SLAM algorithms, obstacle detection, autonomous vehicle perception, and human-robot interaction. Key research areas include autonomous driving systems, multimodal sensor fusion (LiDAR/camera/RADAR), driver activity recognition, and robotics education through competitions. He has explored applications in traffic management, elderly care via voice assistants, and explainable AI for decision-making. Notable contributions include game-theoretic models for electric vehicle charging, modular autonomous driving software architectures, and fusion techniques for HD map validation. His work bridges theoretical advancements with real-world applications in safety-critical systems. Awards: None explicitly listed. Grants: Focus on robotics competitions and university-driven projects. Labs/Teams: Active in Robesafe and INVETT groups, collaborating on robotics competitions like Eurobot Spain to foster skill development among students.

• Image Processing
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Saturnino Maldonado Bascón is a full Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. His research focuses on advanced signal processing techniques, machine learning applications, and computer vision systems. He earned his doctorate from Universidad de Alcalá in 1999 with a thesis on multiresolution analysis for image compression. Key research interests include traffic sign recognition, video surveillance algorithms, 3D object recognition, and noise reduction in digital images. His work frequently employs support vector machines (SVM), spatial pyramids, and clustering methods to address challenges in robotics, autonomous systems, and sensor data analysis. Publications highlight contributions to vehicle tracking, odometry correction in differential robots, and efficient video annotation techniques. His research group (GRAM) develops multisensorial analysis solutions for intelligent infrastructure systems like the WHISNU platform. Maldonado has explored diverse applications from biomedical signal processing to traffic management systems through grants and collaborative projects. No scientific awards are explicitly mentioned, but his extensive publication record reflects sustained academic impact. He leads a research team focused on real-time systems, sensor fusion, and computer vision applications in both academic and industrial contexts.

Alonso Hernández, Héctor Eulogioمشاهده پروفایل

استاد

• Environmental Physics
• Radiochemistry
• Sedimentology
• +۳ مورد دیگر

Héctor Eulogio Alonso Hernández is a Professor at the Department of Physics within the Institute of Environmental Studies and Natural Resources at the University of Las Palmas de Gran Canaria . His research focuses on environmental radioactivity, sediment dynamics, and radiation safety in volcanic island ecosystems. Research Interests: Environmental radioactivity tracing, radon risk assessment, coastal sedimentology, and computational modeling of radiation detection systems. His work bridges physics, environmental science, and geophysics, particularly in marine and volcanic island contexts. Article Trends: Recent publications emphasize radon mapping in volcanic regions, sediment tracing with natural radionuclides, and radiation safety in coastal environments. Methodologies include Monte Carlo simulations, gamma spectrometry, and multi-objective evolutionary algorithms. Collaborations: Active in the GIR IUNAT research group for radiation-matter interactions, with affiliations across multiple university institutes including oceanography and intelligent systems. Contact: hector.alonso@ulpgc.es

• Autonomous Vehicles
• Computer Vision
• Intelligent Transportation Systems
• +۵ مورد دیگر

Jose Maria Armingol Moreno is a Full Professor at the University Carlos III of Madrid, affiliated with the Department of Systems Engineering and Automation. He serves as Director of the Master's Degree in Internet of Things: Applied Technologies and leads the Intelligent Systems Laboratory research group within the Duque de Santomauro Institute of Motor Vehicle Safety. His expertise spans autonomous systems, computer vision, robotics, and intelligent transportation infrastructure. Key research interests include vehicle safety, sensor fusion, and deep learning applications in traffic monitoring and autonomous navigation. He has authored over 100 peer-reviewed articles, with recent work focusing on 3D vehicle detection, UAV battery systems, and intelligent infrastructure for smart cities. Dr. Armingol has also led numerous projects on autonomous vehicle development, cooperative driving systems, and traffic safety technologies. His contributions include patented innovations in vehicle inspection and collision avoidance systems.

• Robotics
• Control Systems
• Humanoid Robots
• +۶ مورد دیگر

Santiago Martinez de la Casa Diaz is an Associate Professor in the Systems Engineering and Automation Department at the University Carlos III of Madrid , affiliated with the Robotics Lab . He specializes in robotics, with a focus on humanoid robots, control systems, and sensor integration. His work spans areas like soft robotics, reinforcement learning, and autonomous systems for tunnel inspection and service applications. His research interests include the design and control of humanoid robots (e.g., TEO and BADGER), sensor fusion, and applications in healthcare and industrial automation. He has published extensively on topics like actuator control, bimanual manipulation, and fractional-order systems. He leads projects such as SIROCO (robotic orthosis) and ROBOSUB (subsurface robotics), and collaborates on initiatives like iRoboCity2030 for smart city robotics. His work integrates AI, mechatronics, and biomechanics to advance humanoid robotics capabilities and real-world applications.

Luis Miguel Bergasa Pascualمشاهده پروفایل

استاد

• Autonomous Driving
• Reinforcement Learning
• Vehicle Motion Prediction
• +۴ مورد دیگر

Luis Miguel Bergasa Pascual is a Professor specializing in autonomous driving, robotics, and artificial intelligence. His work focuses on bridging simulation-to-reality gaps for autonomous systems, with particular emphasis on control algorithms, motion prediction, and V2X communication integration. His research spans Reinforcement Learning , Semantic Segmentation , and Hybrid Decision-Making Systems to enhance autonomous navigation in complex urban scenarios. Recent projects explore ROS-based modular architectures and social behavior modeling for vehicle motion prediction. Publications reveal a strong focus on Computer Vision , Intelligent Transportation Systems , and Simulation Testing , particularly using the CARLA simulator. Key trends include multimodal sensor fusion, synthetic data training, and safety validation protocols. While specific awards and students are not listed, his contributions to point cloud segmentation , deep learning control systems , and collaborative planning highlight his role in advancing autonomous vehicle technologies.

• 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.

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.

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.

Alberto Ortiz Rodríguezمشاهده پروفایل

استاد

• Computer Vision
• Mobile Robotics
• Pattern Recognition
• +۶ مورد دیگر

Dr. Alberto Ortiz Rodríguez is a Full Professor at the Department of Mathematics and Computer Science, University of the Balearic Islands (UIB), where he has been a faculty member since 1992. His research focuses on Computer Vision , Mobile Robotics , Pattern Recognition , and Machine Learning . PhD in Computer Science (UIB, 2005) Member of INTER research group (Intelligent Embedded Systems and Robotics) Member of Artificial Intelligence Research Institute of UIB (IAIB) His work addresses applications in Micro-Aerial Vehicles (MAVs) , defect detection for visual inspection , object recognition , and target tracking . He leads European and national R&D projects like FUSIGEMAP (PID2022-139248NB-I00) and BUGWRIGHT2 (H2020 GA 871260). Recent publications demonstrate expertise in radial basis function neural networks , modular indistinguishability operators , and UWB-based localization . Research spans robotics, industrial inspection, healthcare quality control, and multi-robot coordination. Best Paper Award at ESTYLF 2021 Active reviewer for robotics and AI journals Member of IEEE Robotics and Automation Society (RAS) Member of International Association for Pattern Recognition (IAPR) He contributes to autonomous robotic inspection systems for ships, storage tanks, and hospital environments, with over 170 publications in robotics, computer vision, and AI.

• 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

• Power Electronics
• Renewable Energy Systems
• Control Systems
• +۴ مورد دیگر

Daniel Santamargarita Mayor is a Researcher at the Department of Electronics, University of Alcalá. His research focuses on power electronics applied to renewable energy systems, particularly in the design and optimization of Dual Active Bridge (DAB) converters, thermal modeling using artificial neural networks, and control strategies such as H-infinity control. He also contributes to educational initiatives, including project-based learning in renewable energy courses and hardware-in-the-loop techniques for teaching power electronics. He holds a Doctorate from the University of Alcalá, where he completed his thesis titled Contribuciones al diseño de un 'Dual Active Bridge' usando técnicas de optimización in 2023, supervised by Dr. Emilio José Bueno Peña and Dr. Miroslav Vasic. His research interests span power electronics, renewable energy systems, control systems, thermal modeling, and educational methodologies in engineering. He specializes in optimizing power converter designs, such as DAB converters, and employs advanced techniques like artificial neural networks and deep reinforcement learning to enhance system efficiency and thermal management. Additionally, he integrates innovative approaches like hardware-in-the-loop simulations to improve practical training in renewable energy technologies. Recent publications highlight his work on thermal modeling for heat sinks, H-infinity control for DAB systems, and the integration of project-based learning in energy education. His research bridges theoretical advancements with practical educational tools, emphasizing both technical innovation and pedagogical excellence. No scientific awards have been listed for Daniel Santamargarita Mayor. Advising information is not provided in the text. No grants details are mentioned. He is a core member of the GEISER research group (Electronic Engineering Applied to Renewable Energy Systems), which focuses on advancing renewable energy technologies through applied electronic engineering solutions.

• Computer Vision
• Robotics
• Sensor Fusion
• +۴ مورد دیگر

Miguel Ángel García Garrido is an Associate Professor at the University of Alcalá's Electronics Department, specializing in robotics, computer vision, and sensor fusion. He leads the Robesafe research group (Service Robotics and e-Safety Technologies) and has expertise in traffic systems, autonomous navigation, and indoor positioning. His work integrates multi-sensor technologies with AI-driven data analysis. He earned his Ph.D. in 2010 with a thesis on vision-based traffic sign recognition systems. His research spans applications from automotive safety to retail analytics, combining traditional signal processing with modern machine learning techniques. Key contributions include fusion-based indoor positioning systems, real-time traffic sign detection algorithms, and automated infrastructure inspection tools. Recent work focuses on customer activity analysis in open malls using linguistic reporting and process mining. No scientific awards are explicitly mentioned. His research group collaborates on projects involving V2I communication, sensor calibration, and autonomous vehicle systems. No grants or advising details are provided in the source text.

• Computer Vision
• Robotics
• Image Processing
• +۳ مورد دیگر

Pedro Gil Jiménez is a Professor at the University of Alcalá, affiliated with the Signal and Communication Theory Department within the Electrical Engineering field. He leads the GRAM Group (Multisensorial Recognition and Analysis Group), focusing on advanced computer vision and robotics applications. His doctoral research (2009) centered on optimizing artificial vision techniques for surveillance systems under Dr. Saturnino Maldonado Bascón's supervision. His research emphasizes interdisciplinary approaches, integrating machine learning, robotics, and sensor technologies. Key areas include traffic sign recognition systems, mobile robotics design (e.g., stair-climbing wheelchairs), and medical rehabilitation applications. He has pioneered work in video surveillance, noise reduction algorithms, and object detection systems using SVMs and clustering methods. Over 20 years of publications (2002–2025) reflect his contributions to image processing, autonomous systems, and educational strategies in engineering curricula. His work bridges theoretical advancements with practical applications in security, healthcare, and transportation sectors. No notable awards are listed, though his extensive publication record highlights sustained academic impact.