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Dr. José Daniel Muñoz Frías is an Associate Professor at the Department of Electronics and Automation, Higher Technical School of Engineering (ICAI), Universidad Pontificia Comillas, and a member of the Institute for Research in Technology (IIT). He earned his Electrical Engineering degree (1991) and PhD (2002) from the same institution. His expertise spans digital systems design, computer architecture, motor drives control, and embedded systems for control applications. Dr. Muñoz Frías has been actively involved in research and development projects since 2002, focusing on bioengineering, smart grids, and medical devices. Education: B.Sc. in Electrical Engineering (1991), Ph.D. in Industrial Engineering (2002), both from Universidad Pontificia Comillas. His research emphasizes practical applications, such as regenerative peripheral nerve interfaces, quasi-wireless neurophysiological monitoring systems, and smart home grid management. Key publications include studies on embedded systems for railway communication, RFID technology, and high-frequency magnetic field generation. He has received awards, including the ICAI Best Final Degree Project (2023-24) and the Cross4Health Hackathon Award (2019). Dr. Muñoz Frías has led or collaborated on over 35 projects, including Myoelectric Orthoses with Implantable Electrodes and AgroMaster IoT-based farm systems. His work integrates interdisciplinary approaches, combining embedded systems, control theory, and biomedical engineering. He has also contributed to academic publications, conference presentations, and textbook authoring in digital electronics and programming.

• Digital systems design
• Computer architecture
• Motor drives control
• +3 more

Javier Hernández Aceituno is an Assistant Professor at the Department of Computer Science and Systems Engineering, Universidad de La Laguna, Spain. He is affiliated with the GIC Ingeniería de Control y Sistemas Inteligentes research group. His research focuses on computer vision, robotics, and intelligent systems, with applications in autonomous navigation, medical imaging, and educational technology. He earned his PhD from the Universidad de La Laguna in 2016 with a thesis titled *'Aplicación de técnicas de detección visual para la navegación en entornos con peatones'*, supervised by Dr. José Demetrio Piñeiro Vera and Dr. Leopoldo Acosta Sánchez. His expertise spans autonomous systems, sensor fusion, and machine learning for healthcare and environmental applications. Research interests include: Computer Vision for Medical Imaging (e.g., retinal analysis) Autonomous Vehicle Navigation Human-Computer Interaction via Natural Interfaces Deep Learning Applications in Soil Science Virtual Reality in Education Recent Research Trends : His work bridges robotics and healthcare (e.g., operating room supervision), energy systems forecasting, and educational innovations through 3D modeling and interactive simulations. He has pioneered fusion of laser and optical sensors for obstacle detection in assistive robotics. Grants & Labs : Active in multidisciplinary collaborations involving the Faculty of Engineering and Architecture. Core member of the GIC lab advancing intelligent systems research. Currently exploring energy forecasting models and VR-based neuroscience education platforms.

• Computer Vision
• Robotics
• Intelligent Systems
• +7 more

Jonay Tomás Toledo Carrillo is a Full Professor at the University of La Laguna, affiliated with the Department of Computer Science and Systems Engineering within the School of Computer Science and Systems Engineering. He leads the GRULL (Robotics Group of the University of La Laguna), focusing on robotics, control systems, and autonomous systems. He earned his PhD in 2008 with a thesis on nonlinear control strategies for quadrotor helicopters, advised by Dr. Leopoldo Acosta Sánchez. His research interests span robotics, autonomous navigation, sensor fusion, and assistive technologies. Key projects include developing mobility aids for visually impaired individuals and enhancing localization systems through adaptive algorithms. Recent work emphasizes real-time sensor processing (e.g., LSTM networks for odometry), magnetic field control for accessibility, and Kalman filter variants for multi-sensor integration. Publications highlight contributions to robotics applications, including autonomous vehicles, wheelchair navigation, and BCI systems. His work bridges theoretical control methods with practical implementations in unstructured environments. Collaborations include interdisciplinary efforts in computer vision, ontology-based navigation, and educational simulators like MNEME for memory hierarchy teaching. Dr. Toledo Carrillo’s research aligns with the university’s engineering and automation priorities, with a focus on real-world impact through low-cost, high-precision solutions. His team’s innovations address challenges in both robotics engineering and accessibility technologies.

• Robotics
• Autonomous Systems
• Control Systems
• +5 more

Esteban Egea López is an Associate Professor in the Department of Information Technologies and Communications at the Universidad Politécnica de Cartagena (UPCT), Spain. He holds a Telecommunications Engineering degree from the Polytechnic University of Valencia (2000), a Master's in Electronics from the University of Gävle (2001), and a Ph.D. in Telecommunications from UPCT (2006). His research focuses on vehicular networks, wireless sensor networks, RFID, and biomedical applications of machine learning. Key areas of expertise include vehicular communication protocols, reinforcement learning for diabetes management, electromagnetic field analysis, and distributed computing. He leads projects like VENERIS (3D vehicular network simulator) and ORIENTATE (clinical machine learning tool). His work has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and IEEE Access. He has secured funding from European Commission projects such as BREATHE and ASSIST-IoT, and collaborates on national initiatives like ONOFRE-4 for connected mobility. His contributions span 80+ peer-reviewed articles and multiple software frameworks including PRAIOS and MINOS for network optimization.

• Vehicular Networks
• Ad-hoc Networks
• Wireless Sensor Networks
• +7 more

Laura Arjona Aguilera is an Assistant Professor at the Faculty of Engineering of the University of Deusto since late 2022, combining teaching and research. She holds a PhD in RFID technology from the University of Deusto and has held roles including Research Associate and Lecturer at the University of Washington, Seattle (supported by the Washington Research Foundation fellowship), and a Juan de la Cierva scholar at the University of Deusto. Her research focuses on passive sensor communications, embedded systems, biomedical signal processing, and mobile systems. Education: PhD in RFID Technology, University of Deusto Research Interests: Laura's work spans RFID systems integration, biomedical engineering applications, and embedded system development. She explores signal processing techniques for healthcare monitoring and mobile system optimization. Awards: Washington Research Foundation Innovation Postdoctoral Fellow in Neuroengineering Juan de la Cierva scholarship Teaching: She has taught computer architecture and embedded systems courses at the University of Washington and University of Deusto. Office hours are held in Aula Tutoría 1 on Mondays (14:00-15:00), Wednesdays (14:00-15:00), and Fridays (8:00-9:00).

• RFID Technology
• Biomedical Engineering
• Embedded Systems
• +3 more

Dr. Diego López-de-Ipiña is a Full Professor and Principal Researcher at the DEUSTEK/MORElab – ICT for Good group (University of Deusto, Spain). His roles include leading the Faculty of Engineering’s PhD program (2013–2018) and teaching modules in software engineering, web development, and internet technologies. His research focuses on pervasive computing, IoT, semantic middleware, smart cities, and sustainable computing, emphasizing ICT’s role in addressing societal challenges. He has supervised 17 PhD theses and directed over 100 final-year projects. Education: PhD in Computer Science from the University of Cambridge (2002). Research Interests: Pervasive computing and IoT for smart communities Knowledge graphs and semantic web technologies Human-AI collaboration and ethical computing Sustainable computing and environmental citizen science Projects: Principal investigator in EU projects like SOCIO-BEE, AURORAL, and CITY4AGE, focusing on smart cities, citizen engagement, and environmental sustainability. He has led over 20 research projects, blending IoT, blockchain, and AI for real-world applications. Awards: ATLAS Elsevier Research Prize (social impact of scientific papers) Corresponding Member of JAKIUNDE – Basque Science and Arts Academy Advising & Grants: Supervisor of 17 PhD students and mentor for over 100 theses. Secured funding through European and Spanish grants, emphasizing collaborative, community-driven research. Labs & Teams: Founder of DEUSTEK/MORElab, a hub for ICT innovations in sustainability, smart environments, and human-centric technologies.

• Pervasive Computing
• Internet of Things (IoT)
• Semantic Web
• +5 more

Iñaki Vazquez Gomez holds the position of Associate Professor at the University of Deusto, Spain, and is affiliated with the Deusto Institute of Technology (DeustoTech). He previously served as Director of DeustoTech from 2020 to 2023 and led the Smart Objects unit there. His research focuses on Reinforcement Learning, IoT, and Cognitive Robotics, with applications in human-robot interaction and smart environments. He earned a PhD in Computer Science and Artificial Intelligence from the University of Deusto and Lancaster University, UK. He is a member of the European IoT Council and the editorial board of the International Journal of Ambient Computing and Intelligence . He has organized and participated in conferences such as IoT, WoT, and IE, and has founded multiple technology startups. His work spans IoT protocols (e.g., WebTag, RFIDGlove), robotics software architectures, and adaptive systems. Recent research emphasizes federated learning, dynamic trajectory adjustment in robotics, and EEG-driven collaborative robotics. His publications reflect a long-term engagement with IoT challenges, context-aware systems, and embedded technologies. No scientific awards are explicitly listed. His advising record remains unspecified, though he has contributed to academic leadership roles. His office hours are 12:00–13:00 on Monday, Thursday, and Friday in Room 589-D (email required for scheduling).

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +3 more

Maria del Rocío Sánchez de Armas is a Full Professor in the Department of Physical Chemistry at the University of Seville, Spain. She leads the Advanced Materials Science research group, focusing on electronic structure, magnetic properties, and optical/electrical characteristics of materials. Her work spans spin-crossover complexes, molecular devices, and catalytic processes. She has secured multiple grants, including projects on magnetic sensors based on porous solids and molecular devices from a quantum chemistry perspective. Her research also explores energy harvesting in solar cells and surface interactions of molecules. Key projects include: Magnetic sensors based on porous solids (US-1380922) Molecular Devices from the Point of View of Quantum Chemistry (PGC2018-101689-B-I00) Her research interests emphasize theoretical and computational approaches to materials science, with a focus on spin transitions, surface chemistry, and energy-related applications. Over the past decade, her team has published extensively in journals like Materials Today Chemistry , Nanoscale , and Nature Communications . Her contributions include advancements in spin-crossover materials for molecular electronics and the design of efficient separation systems using aluminosilicates and metal-organic frameworks. She has collaborated internationally on projects involving catalysis, X-ray spectroscopy, and solar cell interfaces.

• Advanced Materials Science
• Electronic Structure
• Magnetic Properties
• +6 more

Sergio López García is a Professor at the College of Education , Universidad Pontificia de Salamanca , specializing in Physical Education and Sport . He leads research in the GIADES group, focusing on physical activity, health, and inclusive sports practices.

• Physical Education
• Adapted Physical Activity
• Sports Science
• +3 more

Lidia Martínez Orellana is a Tenured Scientist at the Materials Science Institute of Madrid (ICMM-CSIC). Her research focuses on low-dimensional advanced materials, with emphasis on nanoparticle synthesis via gas aggregation sources and their applications in nanomedicine, energy, catalysis, sensors, and cosmic dust analogues. She holds a Doctorate in Chemistry (2005) and a European Doctorate in Material Science from Universidad Complutense de Madrid. Education: PhD in Chemistry (2005), European Doctorate in Material Science and Technology (UCM). Her work bridges fundamental and applied research, emphasizing technology transfer. Key contributions include three licensed patents: the Multiple Ion Cluster Source (MICS) device, foundational to her spin-off Next-Tip S.L. , and advancements in stable nanoparticle manufacturing licensed to Nanostine S.L. . She participated in the ERC Synergy Grant project NANOCOSMOS , developing scaled-up MICS technology. She has authored over 60 articles and four book chapters, with patents in commercial use. Her research integrates fabrication techniques like XPS and AFM to study magnetic nanostructures and their applications. Current efforts span material innovation for energy, health, and space science. Labs/Teams: Head of the Low Dimensional Advanced Materials Group at ICMM-CSIC.

• Low-Dimensional Materials
• Nanoparticle Synthesis and Characterization
• Nanomedicine
• +5 more

Ángela Troncoso García is an Assistant Professor in the Computer Science Division of the School of Engineering at Universidad Pablo de Olavide (UPO), Seville, Spain, and concurrently a PhD candidate in Computer Science within the Data Science and Big Data Lab at UPO. Her profile spans biomedical engineering, data science and explainable AI, with applied work in agriculture, environment and healthcare. Education: B.Sc. in Biomedical Engineering, University of Seville, 2020 M.Sc. in Biomedical Engineering and Digital Health, University of Seville, 2021 PhD in Computer Science (ongoing), Universidad Pablo de Olavide Research Interests: Dr. Troncoso García focuses on explainable artificial intelligence for time-series forecasting, biomedical signal analysis, bioinformatics, and IoT-based health monitoring. She develops interpretable machine-learning models that fuse deep learning with association-rule mining and evolutionary optimization, targeting real-world problems such as pest prediction in olive groves, ozone-level forecasting, sleep-apnea detection and evapotranspiration estimation. Publication Trends: Since 2021 she has authored 15+ peer-reviewed contributions. Her recent work (2023-2025) emphasises explainability in specialised domains—agriculture, energy, environment, genomics and sleep medicine—demonstrating a clear trajectory toward transparent, trustworthy AI systems that support expert decision making. Awards & Recognition: No specific scientific awards or fellowships are listed in the available material. Advising & Grants: No supervised students or personal grant references are provided in the source text. Labs & Teams: She carries out her research within the Data Science and Big Data Lab at Universidad Pablo de Olavide, collaborating on interdisciplinary projects such as Big Time, Aware Data, EasyM2M and IA²GIP.

• Data Science
• Explainable Artificial Intelligence
• Time-Series Forecasting
• +4 more

Joaquim Blesa Izquierdo is a Professor at the Department of Automatic Control, Universitat Politècnica de Catalunya. His research focuses on automatic control systems with emphasis on fault detection, water distribution networks, and data-driven methodologies. He leads the MASHED project on energy system management and has advised two PhD students in fault diagnosis and leak localization. His work integrates artificial intelligence techniques like LSTM neural networks with traditional control engineering approaches. Research interests include: Fault diagnosis/prognosis in complex systems Smart infrastructure monitoring (water networks, energy grids) Data-driven approaches for system analysis Hybrid energy storage systems Publications demonstrate strong focus on: Leak localization techniques for water distribution networks Fault detection mechanisms using LPV observers and ANFIS networks Multi-layer optimization for smart grid control Current supervision includes Xin Fang (fault prognosis) and Leonardo Gómez Coronel (deep learning for leak localization). The MASHED project (2022- ) develops digitalization strategies for hybrid energy storage systems.

• Automatic Control
• Fault Detection
• Water Distribution Networks
• +3 more

Carme Torras Genís is a Research Professor at the Spanish Scientific Research Council (CSIC) within the Institute of Robotics and Industrial Informatics (IRI, CSIC-UPC), where she leads the RobIRI research group. She holds M.Sc. degrees in Mathematics (Universitat de Barcelona) and Computer Science (University of Massachusetts) and a Ph.D. in Computer Science (UPC). Her work focuses on robotics, artificial intelligence, neurocomputing, and assistive robotics, particularly in cloth manipulation and ethical implications of AI. Research Projects: ERC Advanced Grant CLOTHILDE (2018-2023) Horizon Europe project SoftEnable (2022-2026) European projects RAMON LLULL, ALLIES, MOMENTUM, and others. Key Achievements: Supervised 23 PhD theses, with notable alumni in academia and industry. Recipient of prestigious awards: ERC grant, Spanish National Research Award, IEEE Fellow, and Royal Academy of Engineering membership (2024). Leader in interdisciplinary research, merging robotics with ethics via science fiction novels like The Vestigial Heart . Grants & Collaborations: Coordinates AIHub-CSIC and chairs ethics committees in Catalonia and Spain. Active in policy-making for AI and robotics, including roles in the Catalan Government’s AI advisory board and the Spanish AI Council. Labs & Teams: Leads the RobIRI group at IRI, focusing on robotic perception and manipulation, with projects on cloth handling, assistive robotics, and ethical AI.

• Robotics
• Artificial Intelligence
• Neurocomputing
• +3 more

Pablo Fernández Arias is a faculty member at the Universidad Católica de Ávila , serving as a Researcher in the Faculty of Sciences and Arts since 2019. He holds a Doctorate from the Universidad de Salamanca (2017), focusing on nuclear reactor analysis. His professional background includes roles as an Engineer in the aerospace sector and leader in technological innovation at Tecnatom. Currently, he serves as Vice Dean of his faculty and actively contributes to the TiDEE.rg Research Group (Technology, Instruction, and Design in Engineering and Education). Education: PhD in Nuclear Engineering (2017), Universidad de Salamanca Ingeniería Industrial (Industrial Engineering), with early career roles in quality assurance and safety systems. Research Interests: Integration of AI/VR in education and high-risk training Sustainable energy systems (hydrogen, nuclear waste management) Educational technology adoption in depopulated regions STEAM career promotion in rural Spain Publications Trends: Over 30 articles since 2020, focusing on VR in education, hydrogen energy, and nuclear strategies Strong emphasis on bibliometric analysis and interdisciplinary collaboration Awards: None explicitly listed, though his work aligns with EU sustainability initiatives. Advising & Grants: Supervised thesis: His own doctoral work (2017) Active in curriculum design for engineering and energy programs Labs & Teams: Leads the TiDEE.rg group, exploring digital tools for engineering education and safety training.

• Nuclear Engineering
• Energy Systems
• Educational Technology
• +6 more

Inocencio Rafael Martín Benenzuela is a Full Professor at the Department of Physics, University of La Laguna, Spain. He holds a Ph.D. from the same institution (1996). His research focuses on optical characterization of materials such as glasses, crystals, nanocrystalline glass-ceramics, and nanoparticles doped with rare-earth ions, with applications in optical sensors. He is affiliated with the research groups GESLAP (Laser Spectroscopy and High Pressure) and GMDP (Optical Materials and Devices Group). Dr. Martín has an extensive publication record (268 papers), with over 6,000 citations and an H-index of 44 (Web of Science). He has supervised 5 doctoral theses, 3 of which received prizes. He actively participates in conferences (over 180 communications) and serves as a referee for high-impact journals like ACS Applied Materials & Interfaces , Advanced Optical Materials , and Nature Communications . His research emphasizes the optical properties of materials under extreme conditions and their technological applications. He has been recognized through four periods of research excellence (sexenios) spanning from 1993 to 2017. His work intersects applied physics, materials science, and nanotechnology.

• Optical Characterization
• Materials Science
• Laser Spectroscopy
• +4 more