جست‌وجوی استاد و پژوهشگر

• 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.

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.

• Biomedical Engineering
• Electronic Instrumentation
• Analog Electronics
• +۳ مورد دیگر

Romano Giannetti is a Professor at the Department of Electronics, Automation and Communications within the Higher Technical School of Engineering (ICAI) at Universidad Pontificia Comillas . Holding a PhD in Electronics and Computer Engineering from the University of Padua (1993), he has served at Universidad Pontificia Comillas since 1998 and currently acts as Head of Department since 2021. Previously, he held administrative roles including Vice-Rector for International Affairs (2009-2012). Research Interests focus on Measurement Instrumentation and Methodology Biomedical Instrumentation Noise Measurement Techniques Low-Noise Electronic Circuits Metamaterial-Based Sensors Non-Invasive Biomedical Systems His work spans portable measurement systems, microelectronic support instrumentation, and wireless neurophysiological monitoring. Recent publications emphasize machine learning integration with sensors, triboelectric nanogenerators, and microwave metamaterials for liquid characterization. Scientific Awards include Four certified Spanish Sexenio research periods (1990-2020) Asociación Nacional de Ingenieros del ICAI Prize for Best Final Year Project (2023-24) Cross4Health Hackathon Prize (2019) Academic Leadership involves supervising 4 Ph.D. theses and teaching courses like Electronics and Biomedical Instrumentation and Electronic Systems . He has participated in 16 funded projects, including the AgroMaster IoT agricultural system and Sepsis Detection devices.

• Wireless Sensor Networks
• Unmanned Aerial Vehicles (UAVs)
• Air Traffic Management
• +۷ مورد دیگر

Rafael Casado González is a Professor at the Department of Systems Informatics, School of Engineering, University of Castilla-La Mancha, Spain. He was previously an Associate Professor at the same institution and was promoted to Full Professor (Catedrático de Universidad) on May 23, 2023. His academic journey includes a Doctorate in Computer Engineering from UCLM (2001), a degree in Computer Engineering from Universidad de Murcia (1996), and a Technical Engineering in Systems Informatics from UCLM (1993). Doctor Ingeniero en Informática – University of Castilla-La Mancha (2001) Ingeniero Informático – Universidad de Murcia (1996) Ingeniero Técnico en Informática de Sistemas – University of Castilla-La Mancha (1993) His research spans Wireless Sensor Networks (WSNs) , Unmanned Aerial Vehicles (UAVs) , air traffic management , and high-performance network reconfiguration . He has made significant contributions to aviation safety, particularly in missed approach maneuvers , aircraft reinjection , and conflict resolution in U-Space . His work also extends to distributed forest fire monitoring and entrepreneurship education in engineering . The 15 most recent publications reflect a strong trend toward UAV traffic management , environmental sustainability in aviation , and intelligent systems for air navigation . His work combines simulation, machine learning, and real-time algorithms to improve safety and efficiency in complex airspace environments. Earlier works focus on network reconfiguration and localization in WSNs , indicating a long-standing interest in distributed and autonomic systems. Rafael Casado González has collaborated with prominent researchers such as Aurelio Bermúdez, Carlos T. Calafate, and Pablo Boronat across multiple publications. His affiliations are consistently with the University of Castilla-La Mancha, and he contributes to both technical and educational research domains. There are no listed scientific awards or honors in the provided text. He has advised or collaborated on various research projects, particularly in UAV systems and WSNs, though specific student names are not mentioned. His work has been supported through institutional affiliations and collaborative research, but no grants are explicitly listed. He is actively involved in developing simulation frameworks and real-time navigation systems for autonomous drones. While no specific lab or research group name is mentioned, his work on SensGrid , UAV navigation frameworks , and WSN-based fire monitoring systems suggests involvement in a research lab focused on intelligent distributed systems and aerospace applications.

• Wireless Networks
• Internet of Things (IoT)
• Fog Computing
• +۷ مورد دیگر

Luis Orozco-Barbosa is a full-time Professor in the Department of Systems Informatics at the Universidad de Castilla-La Mancha, Spain. He previously held academic positions at the University of Ottawa, Canada, progressing from Assistant to Full Professor in the School of Information Technology and Engineering and the Department of Electrical and Computer Engineering. His career spans over three decades, with a consistent focus on networking, wireless systems, and emerging technologies. Research Interests: His primary research areas include Wireless Networks, Internet of Things (IoT), Fog and Edge Computing, Indoor Localization, Smart Cities, and Energy-Efficient Communication Protocols. He has made significant contributions to MAC layer design, sensor networks, and the application of AI in network optimization. His work bridges theoretical modeling with practical implementation in real-world systems. Publication Trends: His recent publications (2022–2025) reflect a strong emphasis on next-generation wireless standards (e.g., IEEE 802.11ah), deep learning for localization, federated-fog architectures, and energy-aware algorithms for IoT. The interdisciplinary nature of his research is evident in journals spanning signal processing, computer-aided design, human-computer interaction, and mathematical modeling. Scientific Awards: Investigador RENACYT - Grupo Carlos Monge Medrano - Nivel I Grants and Funding: He has secured multiple competitive research grants from Spanish national and regional agencies, including the Ministry of Economy and Competitiveness and the Ministry of Education, Culture and Sport. His funded projects address high-performance server optimization, reliable data center architectures, UAV applications, and wireless sensor networks in viticulture (WISEVINE2). These grants highlight his leadership in applied research with societal and industrial impact. Labs and Research Teams: While specific lab names are not mentioned, his frequent collaborations with researchers such as Manuel Castillo-Cara, Javier Gómez, and Raúl García-Castro suggest active leadership in a research group focused on smart systems, IoT, and network protocols at Universidad de Castilla-La Mancha.

• Ray-Tracing Techniques
• Airport Security Systems
• Wireless Localization Algorithms
• +۳ مورد دیگر

Antonio del Corte Valiente is an Associate Professor at the Department of Automática, University of Alcalá. His research focuses on enhancing airport safety and precision localization through ray-tracing techniques, wireless networks, and artificial neural networks. He earned his PhD in 2011 with a thesis on improving airport security via efficient localization algorithms using WLAN networks and ray-tracing methods, supervised by Dr. Óscar Gutiérrez Blanco and Dr. José Manuel Gómez Pulido. His work integrates interdisciplinary approaches, combining electrical engineering with aerospace and civil engineering challenges. Key contributions include developing hybrid localization systems (ray-tracing + fingerprinting) for indoor-outdoor environments, neural network models for energy-efficient lighting, and non-cooperative aircraft surveillance systems using short-range radar. He is affiliated with the HCIS group (Health Computing and Intelligent Systems), though his primary research remains in transportation and airport infrastructure. No scientific awards are listed, but his publications span over a decade of consistent output in localization, aviation safety, and smart systems. His advising record is not explicitly detailed here, but his doctoral work indicates mentorship potential in advanced localization and safety engineering. Ongoing research likely explores further integration of AI and sensor networks in critical infrastructure systems.

Noelia Hernández Parraمشاهده پروفایل

دانشیار

• Systems Engineering
• Automation
• Intelligent Vehicles
• +۳ مورد دیگر

Noelia Hernández Parra is an Associate Professor at the University of Alcalá, affiliated with the Department of Automática. Her research focuses on intelligent vehicles, traffic technologies, and WiFi-based localization systems. She holds a PhD in Systems Engineering and Automation from the same university (2014), with a thesis titled Smart hierarchical WiFi localization system for indoors , supervised by Dr. Manuel Ocaña Miguel and Dr. José M. Alonso Moral. Her work integrates systems engineering, wireless communication, and machine learning to address challenges in autonomous systems, urban navigation, and customer activity analysis in retail environments. Key contributions include developing CNN-based localization systems (WiFiNet), vehicle trajectory prediction models, and fusion techniques for sensor data in autonomous vehicles. Research interests span WiFi localization, deep learning architectures for spatial analysis, and intelligent traffic management. She leads the INVETT research group (Intelligent Vehicles and Traffic Technologies), focusing on vehicular autonomy and smart infrastructure integration. Her recent publications emphasize urban localization, sensor fusion, and autonomous driving systems. No awards are explicitly mentioned in the provided text. Advising and grants details are not elaborated, though her PhD supervision and research group indicate active mentorship and potential grant involvement. She collaborates on projects combining localization technologies with automotive and retail applications.

• Autonomous Driving Systems
• Machine Learning
• Traffic Engineering
• +۳ مورد دیگر

Rubén Izquierdo Gonzalo is an Assistant Professor at the Department of Automation, University of Alcalá, Spain. He is affiliated with the INVETT research group (Intelligent Vehicles and Traffic Technologies), focusing on advancing autonomous driving systems. His doctoral work (2020) centered on predicting vehicle intentions for advanced autonomous driving, supervised by Dr. Miguel Angel Sotelo Vázquez and Dr. David Fernández Llorca. Research interests include autonomous driving, machine learning applications in traffic systems, human-vehicle interaction, and explainable AI for safety-critical systems. His work combines knowledge graphs, Bayesian inference, and deep learning techniques to address challenges like lane change prediction, pedestrian behavior analysis, and sensor failure modeling in real-world scenarios. Key contributions include developing real-world deployable prediction architectures, virtual reality-based human-vehicle interaction studies, and sensor fusion methods for autonomous systems. Notable projects involve the Prevention Dataset benchmark for intention prediction and the CAPformer model for pedestrian crossing action prediction. His publications emphasize predictive systems, safety validation, and human-centric autonomous driving solutions. Current efforts focus on bridging simulation and real-world testing gaps, digital twin technologies, and ethical considerations in autonomous vehicle decision-making.

• Cybersecurity
• Authentication Systems
• Machine Learning
• +۴ مورد دیگر

Javier Junquera Sánchez is an Associate Professor at the University of Alcalá's Department of Computer Science. He holds a PhD in Computer Science from the same institution, awarded in 2023 for his thesis on 'Deep Defense in Access Control Systems via Continuous Authentication.' His research focuses on cybersecurity, authentication systems, machine learning applications for security, IoT privacy, and cryptographic protocols for quantum-resistant systems. Education: PhD in Computer Science, University of Alcalá (2023) His work spans topics like GNSS security, port knocking systems (C-Lock), distributed e-voting frameworks (Diversec), and mobile continuous authentication using keystroke dynamics. Recent publications address quantum-resistant cryptography for Galileo OSNMA and vulnerabilities in data-over-sound IoT healthcare devices. No scientific awards or grants are explicitly mentioned. He has not listed any advisees or lab affiliations in the provided texts.

• Computer Vision
• Robotics
• Machine Learning
• +۵ مورد دیگر

Sergio Lafuente Arroyo is a Professor at the Department of Signal Theory and Communications at the University of Alcalá. He leads the GRAM (Multisensorial Recognition and Analysis Group), focusing on computer vision, robotics, and assistive technologies. His work integrates multisensory data for applications like traffic sign recognition, indoor navigation, and wearable health monitoring. He holds a Ph.D. from the University of Alcalá (2014) with a thesis on traffic sign detection using AI and image processing. Research interests include real-time vision systems, autonomous robotics, continual learning, and low-cost healthcare technologies. His recent work explores semantic navigation, fall detection systems, and stress/activity recognition via wearables. Over 50 publications span topics from LIDAR-based localization to pediatric assistive robotics. No scientific awards explicitly mentioned. Active in grants related to multisensory integration and assistive platforms. Supervised research on road sign inventory systems and pediatric mobility aids. Collaborates with engineering and biomedical teams. Laboratory affiliations include the GRAM Group, specializing in multisensory data fusion and real-world robotics applications.

• Autonomous Vehicles
• Intelligent Transportation Systems
• Sensor Fusion
• +۴ مورد دیگر

Ignacio Parra Alonso is a Professor at the Department of Automation in the University of Alcalá, Spain. He is affiliated with the INVETT research group (Intelligent vehicles and Traffic technologies), focusing on autonomous systems, sensor fusion, and intelligent transportation. His work emphasizes vehicle localization, trajectory prediction, and human-vehicle interaction in urban environments. He holds a PhD in Engineering from the University of Alcalá (2010), with a thesis on visual odometry for intelligent vehicles. His research interests span autonomous vehicle technologies, including sensor-based localization (e.g., WiFi, LiDAR, and vision systems), trajectory prediction using deep learning (e.g., Transformers and CNNs), and safety-critical systems for automotive applications. He has contributed to projects like DRIVERTIVE (2016 GCDC) and published extensively on topics like pedestrian intention recognition, lane change prediction, and fail-safe navigation systems. Recent publications (2021–2024) highlight advancements in transformer-based trajectory prediction, WiFi localization for autonomous driving, and bias evaluation in visual datasets. His work often bridges machine learning techniques with real-world automotive challenges, emphasizing fail-safe mechanisms and human-centric safety. No scientific awards are explicitly mentioned in the provided texts. His advising record is not detailed here, though he was supervised by Dr. Miguel Angel Sotelo Vázquez during his doctoral studies. He collaborates on projects involving multi-modal sensor integration and has developed tools for dataset labeling and performance analysis in autonomous systems. Led the INVETT group, which focuses on intelligent vehicles and traffic technologies, advancing interdisciplinary solutions for autonomous navigation challenges.

• Signal Processing
• Digital Communications
• Machine Learning Applications
• +۳ مورد دیگر

Rafael Boloix Tortosa is an Associate Professor in the Department of Signal Theory and Communications at the University of Seville's School of Engineering, where he leads significant research in complex-valued signal processing and its applications. His academic career spans over two decades with continuous involvement in national and international research projects. His research focuses on advancing complex-valued signal processing methodologies, particularly complex Gaussian processes, kernel methods, and widely linear estimation techniques. These theoretical advances are applied to diverse domains including medical imaging (especially burn wound analysis), wireless communications (UWB positioning, OFDM systems), and art conservation. His work bridges fundamental signal processing theory with practical engineering solutions. Professor Boloix Tortosa maintains an active publication record with significant contributions in top IEEE journals, particularly in signal processing and machine learning. His recent work (2025-2019) demonstrates continued innovation in complex-valued machine learning methods, while his earlier publications established foundational work in blind source separation and multiuser detection. He actively participates in multiple research projects including EU-funded initiatives like COURAGEOUS (counter-UAS solutions) and ARIADNE (agricultural drones), alongside national projects in medical imaging and communications. His research group has received consistent funding through the TIC-155 consolidation incentives. His laboratory work centers around the Signal Processing and Communications Research Group, where he develops both theoretical frameworks and practical implementations for signal processing challenges. The group maintains strong connections between theoretical advances and real-world applications across multiple engineering domains.

Antonio G. Marquesمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Nonlinear Optimization
• +۶ مورد دیگر

Antonio G. Marques is a Full Professor at the Department of Signal Theory and Communications , King Juan Carlos University , Madrid, Spain. With a doctorate from Carlos III University of Madrid (2007), his career spans over 15 years at URJC with extended visiting roles at the University of Minnesota (2005-2015), University of Pennsylvania (2015-2017), and Rice University. PhD in Telecommunications Engineering (Carlos III University of Madrid, 2007) Telecommunications Engineering degree (Carlos III University of Madrid, 2002) His research focuses on stochastic signal processing , machine learning , and nonlinear optimization applied to graph/network theory . Key application domains include: Wireless communications Smart grids Social networks Transportation systems Biomedical signal analysis Dynamic resource allocation The DSSP research group he leads has produced over 200 JCR publications and 500+ conference contributions, with special emphasis on graph signal processing and stochastic optimization in interconnected systems. Scientific Recognition : 2020 EURASIP Early Career Award IEEE Signal Processing Society Young Author Best Paper Award IEEE SSP 2016 Best Paper Award IEEE SAM 2016 Best Paper Award As an educator, he supervises 4 active PhD students and has developed advanced signal processing curricula for multiple engineering programs. His interdisciplinary collaborations span institutions across USA, UK, Netherlands, and Sweden.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +۳ مورد دیگر

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).

• Distributed Systems
• Fault-Tolerant Computing
• Robotics
• +۳ مورد دیگر

Sébastien Tixeuil is a Professor at Sorbonne Université in the Computer Science Department , part of the Faculty of Science and Engineering . He holds the title of Senior Member of Institut Universitaire de France . His research focuses on distributed systems, fault-tolerant computing, robotics, and IoT . Current projects include GRIFIN (ANR) , TURFU-NET (ANR) , and EU-funded initiatives like CyberNemo and NEMO . Recent publications span game theory, IoT security, and fault-tolerant algorithms. He has supervised multiple PhD students including Alice Di Carlo (blockchains for healthcare) and Anthony Honorat (robot networks). Key Awards: Senior Member of Institut Universitaire de France Roles: Head of the Networks and Systems Department Research emphasizes self-stabilizing systems, mobile agent coordination, and algorithmic solutions for partial information scenarios.