جست‌وجوی استاد و پژوهشگر

• Behavioral Science
• Neuroscience
• Cognitive Psychology
• +۴ مورد دیگر

Javier Rodríguez Árbol is an Assistant Professor in the Department of Psychology at the University of Jaén. His research focuses on behavioral science methodology within the Complex Systems and Organisms research group, integrating neuroscience and psychophysiology with advanced computational analysis. Research Group: Complex Systems and Organisms Methodology: Behavioral and neural complexity analysis His work explores the intersection of neuroscience, behavioral science, and psychophysiology, with recent research examining EEG complexity in schizophrenia, misinformation processing, and pandemic-related psychological impacts. Earlier studies focus on autonomic nervous system dynamics in cardiac defense responses and virtual reality applications for emotion induction. Publications demonstrate his contributions to understanding sympathetic nervous system mediation (2017), stress response patterns (2013), and therapeutic interventions like cognitive behavior therapy (2015). Research spans from fundamental psychophysiological mechanisms to applied studies in mental health and digital education.

Luis Miguel Hernández Acostaمشاهده پروفایل

دانشیار

• Software Engineering
• Mobile Computing
• Computer Vision
• +۳ مورد دیگر

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

• Neuroscience
• Photopharmacology
• Optogenetics
• +۳ مورد دیگر

Silvia Pittolo is a Ramón y Cajal Senior Researcher at the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona, where she leads the Nanoprobes and Nanoswitches research group. Her work bridges neuroscience, pharmacology, and bioengineering to develop optical tools for studying brain function and developing neuropsychiatric therapies. Her educational background includes: Bachelor in Biotechnology from the University of Trieste, Italy Master in Neuroscience from the University of Trieste, Italy PhD in Photopharmacology of Metabotropic Glutamate Receptors at IBEC under Pau Gorostiza Dr. Pittolo's research focuses on all-optical tools for imaging brain activity ex vivo and in vivo, investigating how neurotransmitters, receptors, and cell types interact in normal and diseased states. Her work pioneers photopharmacology approaches for precise control of neuronal receptors, with applications in personalized therapeutic strategies for neuropsychiatric conditions. Key methodologies include two-photon pharmacology and covalent photoswitches for endogenous receptor modulation. Her publication record spans high-impact journals from 2014 to 2024, demonstrating consistent innovation in optical neuromodulation. Core themes include glutamate receptor photoswitching, astrocyte-neuron interactions, and in vivo synaptic control, with recent expansions into dopamine signaling and sight restoration technologies. Her scientific achievements have been recognized through: Ramón y Cajal Fellowship (Spanish Ministry of Science) Horizon 2020 Marie Skłodowska-Curie Actions Global Fellowship As a senior researcher, Dr. Pittolo mentors junior scientists while securing competitive funding through national and European programs. Her Horizon 2020 fellowship supported international research at UCSF and MDC, demonstrating strong grant acquisition capabilities for interdisciplinary neuroscience projects. She directs the Nanoprobes and Nanoswitches group at IBEC, which develops cutting-edge optical technologies for neuroscience research. The team specializes in photoswitchable ligands, two-photon excitation systems, and quantitative imaging approaches to study neural circuits and develop targeted interventions for brain disorders.

Moisés Díaz Cabreraمشاهده پروفایل

دانشیار

• Pattern Recognition
• Document Analysis
• Handwriting Recognition
• +۵ مورد دیگر

Moisés Díaz Cabrera is an Associate Professor in the Department of Physics at the University of Las Palmas de Gran Canaria. His research focuses on pattern recognition, handwriting analysis, biometrics, and robotics. He holds multiple advanced degrees from the same institution, including a PhD in Engineering (2016) and an M.Ed. in Secondary Education (2013). His work includes collaborations with institutions like the University of Hertfordshire (UK), University of Salerno (Italy), and Vislab (University of Parma). He has advised over 20 student theses and projects, emphasizing robotic control systems and biomedical applications. Key research areas include: robotics with IMUs, lameness detection in livestock, and biometric authentication via signatures. He serves as a reviewer for IEEE T-ITS, PRL, and CVIU, and is an active member of IEEE and IAPR. His contributions span academic publications, conference participation, and open-source databases like CowScreeningDB for livestock health monitoring. Education includes M.Tech (2010), M.Sc. (2011), and PhD (2016) in Engineering, alongside pedagogical training (M.Ed., 2013). His labs focus on interdisciplinary projects blending signal processing, computer vision, and robotic kinematics.

David Mera Perezمشاهده پروفایل

استاد

• Machine Learning
• Environmental Data Systems
• Oceanography
• +۳ مورد دیگر

David Mera Perez is a Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He holds a PhD in Computer Science from the same institution, completed in 2013 with a thesis on virtual oceanographic laboratories leveraging Grid computing. His research focuses on machine learning applications in environmental monitoring, geospatial data systems, and smart infrastructure. He leads the COGRADE research group (Computer Graphics and Data Engineering). Key areas include oil spill detection via SAR imagery, inverse problem solutions in medical imaging, and smart building temperature forecasting. He has contributed to frameworks like GeoHbbTV for interactive geographic TV content and Retelab, a geospatial Grid laboratory for oceanographic research. His work bridges computational methods with real-world challenges in environmental science and engineering.

• 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.

Antonio Martinez Sanchezمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Bioinformatics
• Image Processing
• +۵ مورد دیگر

Antonio Martinez Sanchez is a Ramón y Cajal Researcher at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on computational methods for cryo-electron tomography, artificial intelligence, and bioimaging. He holds a PhD from the University of Almería (2013), specializing in differential geometry-based computational techniques for electron tomography. Education : PhD in Computer Science, Universidad de Almería (2013) His research interests include deep learning applications in microscopy, membrane protein analysis, and high-performance computing for 3D imaging. Recent work emphasizes template matching, orientation estimation, and automated pipelines for cryo-electron tomography. He leads the AIKE (Artificial Intelligence and Knowledge Engineering) research group and contributes to tools like ScipionTomo and MemBrain. Articles highlight advancements in computational methods for structural biology, such as fast cross-correlation algorithms and deep learning-driven orientation estimation. These techniques address challenges in analyzing cellular architecture and viral interactions. His work bridges computer science and biology, advancing tools for subcellular imaging and data reproducibility. Labs/Teams : AIKE: Artificial Intelligence and Knowledge Engineering research group.

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.

• 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.

• Electronics Engineering
• Intelligent Systems
• Assistive Technologies
• +۴ مورد دیگر

Sira Elena Palazuelos Cagigas is a Professor in the Department of Electronics at the University of Alcalá, specializing in Electronics Technology. She is affiliated with the GEINTRA research group, focusing on Electronic Engineering Applied to Intelligent Spaces and Transport. PhD in Electronics Engineering from Universidad Politécnica de Madrid (2001) Research interests: Intelligent environments, assistive technologies, machine learning, signal processing Her recent work explores stress detection via wearable sensors, automatic functional assessment systems (EYEFUL project), and distributed acoustic sensing in optical fibers. She has contributed to robotics localization in intelligent spaces, time-of-flight camera calibration, and word prediction systems for Spanish and Portuguese languages. Key article trends show interdisciplinary research combining electronics engineering with healthcare applications, AI-driven solutions for physical disability support, and advanced computer vision techniques. Her publications span from 2025 (submarine fiber sensing) to foundational work in 2001 on Spanish word prediction systems. As part of GEINTRA, she develops multisensory systems for analyzing human activity in intelligent spaces and transportation systems. While no specific awards or grants are mentioned in the provided texts, her extensive publication record demonstrates sustained contributions to her fields.

• Computer Vision
• Deep Learning
• Biomedical Signal Processing
• +۴ مورد دیگر

David Fuentes Jiménez is a Researcher at the Department of Electronics, Universidad de Alcalá, Spain. He is affiliated with the GEINTRA research group focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (2021) explored deformable object reconstruction using deep learning techniques, supervised by Dr. Daniel Pizarro Pérez. His research spans computer vision, biomedical signal processing, and smart environments. Key research interests include neural radiance fields in surgery, photoplethysmographic signal dynamics for physiological assessment, and real-time action recognition using depth data. He has contributed to EU projects like GEMS through sensory module development (Ruby). His work integrates deep learning with 3D reconstruction, wearable sensors, and overhead camera systems. Publications highlight innovation in medical imaging, stress detection via PPG signals, and robust people detection algorithms. His work frequently appears in top venues, showcasing interdisciplinary approaches between computer science, biomedical engineering, and robotics. Active in open datasets like GOTPD1, he bridges theory and practical applications in smart spaces and healthcare technology. Education: PhD in Electronics Engineering (2021), Universidad de Alcalá Labs/Teams: GEINTRA Group

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.

• Human-Computer Interaction
• Biomedical Signal Processing
• Computer Science
• +۴ مورد دیگر

Bartomeu Estrany Bonnín is a Full Professor in the College of Mathematical Sciences and Computer Science at the University of the Balearic Islands. He holds appointments in both the Computer Science and Artificial Intelligence department and has been affiliated with the institution since 1989. His academic background includes a degree in Computational Science (1987) from Autonomous University of Barcelona and a PhD in Computational Engineering (2002) from University of the Balearic Islands. Member of NEW USER INTERFACES research group Collaborator with LTIM group Participant in Graphics and Computer Vision with Artificial Intelligence unit (UGIVIA) Research focuses on BIOSignals, user interfaces, EOG, BCI, and geolocation technologies, with applications spanning signal acquisition and human-computer interaction. Teaching responsibilities include Programming II, Operating Systems, Databases, and Graphical User Interfaces across multiple campuses (Mallorca, Ibiza, Menorca) and degree programs including Computer Engineering, Mathematics, and Telematic Engineering.

José Alberto Benítez Andradesمشاهده پروفایل

دانشیار

• Biomedical Analytics
• Machine Learning
• Social Network Analysis
• +۴ مورد دیگر

José Alberto Benítez Andrades is an Associate Professor at the University of León's School of Industrial, Computer and Aerospace Engineering, affiliated with the Department of Electrical, Systems and Automation Engineering. He holds leadership roles as Deputy Director of the School and coordinates multiple academic programs including the 3rd year of Computer Engineering and Erasmus mobility initiatives. His research focuses on: Biomedical analytics using semantic technologies and machine learning Social network analysis in health contexts AI applications for clinical diagnostics and predictive modeling Robotics and sensor data processing Recent publications demonstrate strong interdisciplinary work combining computer science with healthcare, particularly in: Medical NLP for psychiatric and neurological disorders Robust machine learning models for surgical outcome prediction Multi-sensor fusion for autonomous systems Public health informatics through systematic reviews Awards include Outstanding Cum Laude for his 2017 doctoral thesis on semantic technologies in health-focused social network analysis. He leads the ALBA research group and previously contributed to SALBIS.

• Computational Robotics
• Robot Kinematics
• Robotic Manipulation
• +۶ مورد دیگر

Alba Perez Gracia is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Institute for Robotics and Intelligent Systems (IRI), a joint center with CSIC. She works in the Department of Robotics within the School of Engineering, focusing on computational robotics, kinematics, and mechanism design. Research Interests: Her research lies at the intersection of robotics, geometry, and mechanical design. She specializes in computational kinematics , geometric algebra (particularly Clifford algebras), robotic manipulation , and rehabilitation robotics . Her work often involves mathematical modeling of spatial mechanisms, grasping strategies, and the design of robotic hands and exoskeletons. Publication Trends: Over the period 2010–2019, her publications show a consistent focus on geometric methods in robotics, with increasing emphasis on grasping in unstructured environments and the use of algebraic tools for rotation and motion analysis. Key themes include screw theory, Cayley factorizations, superquadric modeling, and the synthesis of closed-loop linkages. Scientific Contributions: Developed geometric methods for orthonormalization of rotation matrices using Cayley factorization. Advanced grasping strategies for cluttered scenes using superquadric object representations. Contributed to the kinematic synthesis of multi-fingered and non-anthropomorphic robotic hands. Designed low-DOF mechanisms for finger rehabilitation exoskeletons. Advising and Grants: While specific advisees and funding sources are not mentioned in the text, her collaborative work with researchers such as F. Thomas, E. Simo-Serra, and D. Wolbrecht suggests active participation in research teams and potential supervision of students. Her publications in rehabilitation robotics suggest interdisciplinary collaboration with biomedical engineers. Labs and Teams: She is affiliated with the Institute for Robotics and Intelligent Systems (IRI), UPC-CSIC, a leading robotics research center in Spain, where she contributes to research in computational robotics and mechanism design.