جست‌وجوی استاد و پژوهشگر

• Optoelectronics
• Liquid Crystal Technologies
• Visible Light Communication (VLC)
• +۴ مورد دیگر

Juan Carlos Torres Zafra is a Visiting Professor at Universidad Carlos III de Madrid. His research focuses on optoelectronics, liquid crystal technologies, visible light communication (VLC), and sensor systems. His work spans interdisciplinary areas including energy-harvesting IoT nodes, indoor positioning systems, and optical communication interfaces for high-definition media transmission. Torres Zafra has contributed to advancements in semiconductor materials (e.g., perovskites), low-cost sensor networks, and hybrid RF-VLC positioning systems. His research also extends to educational technology, exploring tools like Telegram and Google Workspace for improving student engagement in cybersecurity engineering programs. Notable projects include the GUTI group's work on optical vortices using liquid crystal devices and the development of tunable resonators based on liquid crystal capacitance. His publications from 2020–2025 highlight trends in VLC system optimization, AI-driven disinformation detection (SmartVote-AI initiative), and medical studies on amyloidosis therapy outcomes. Torres Zafra’s work often emphasizes practical applications in robotics, automotive systems, and sustainable energy solutions. While no formal awards are listed, his extensive publication record (over 80 entries from 2004–2025) reflects sustained contributions to photonics, sensor engineering, and liquid crystal device innovation. His research integrates hardware design, algorithm development, and material science to address challenges in modern communication systems and assistive technologies for visually impaired patients.

• Optoelectronics
• Visible Light Communication (VLC)
• Internet of Things (IoT)
• +۳ مورد دیگر

Carlos Iván Del Valle Morales is an Adjunct Professor at Carlos III University of Madrid. His research focuses on visible light communication (VLC), Li-Fi systems, and energy-harvesting technologies. He leads projects in the Grupo Universitario de Tecnologías de Identificación (GUTI), developing optical communication interfaces for IoT, high-power LED characterization, and indoor positioning systems using trilateration and angular diversity. Recent work emphasizes perovskite photovoltaic applications for self-powered IoT nodes and hybrid RF-VLC positioning systems. His publications span 2020–2024, addressing energy efficiency, bandwidth optimization, and hardware design for VLC systems in automotive and multimedia contexts.

Pere Millán Marcoمشاهده پروفایل

دانشیار

• Computer Communications
• Mobile and Sensor Networks
• Internet of Things
• +۳ مورد دیگر

Pere Millán Marco is an Associate Professor in the Department of Computer Engineering and Mathematics (DEIM) at Universitat Rovira i Virgili (URV), Tarragona, Spain. He serves as coordinator for Non-permanent lecturers. His research focuses on computer communications, mobile/sensor networks, and IoT, with emphasis on quality prediction and performance optimization in wireless environments. Education: M.Sc. in Computer Engineering (Polytechnic University of Catalonia, 1992); PhD in Computer Engineering (URV, 2018). Research Interests : Specializes in mobile and sensor network architectures, underwater acoustic networks, real-time communication protocols, and low-cost hardware solutions for educational and environmental applications. His work integrates time series analysis, predictive modeling, and social behavior patterns to enhance network efficiency. Publications Trends : Recent work emphasizes IoT applications in environmental monitoring (e.g., deep aquifer pumping systems), optimization of underwater acoustic networks, and low-cost multicomputer systems for teaching. Consistently explores predictive techniques for network topology and quality-of-service improvements in ad hoc and community networks. Awards & Recognition : Holds a granted US patent related to location-based information systems. Advising & Infrastructure : Involved in DEIM's teaching laboratory development. Active in organizing international conferences like UCAmI and VISIGRAPP. Member of the CloudLab research group, advancing cloud and distributed computing solutions.

• Cooperative Robotic Systems
• Multi-Robot Systems
• Human-Robot Collaboration
• +۷ مورد دیگر

Luis Merino is an Associate Professor at the School of Engineering, Universidad Pablo de Olavide (UPO), Seville, Spain. He founded and leads the Service Robotics Laboratory and contributed to establishing the Systems Engineering and Automation division at UPO. He served as Vice-Dean for five years and currently coordinates the Computer Science degree program. Education: Ph.D. in Robotics from the University of Seville (2007), supervised by Anibal Ollero. Research: Focuses on cooperative robotic systems, human-robot collaboration, localization/navigation techniques, and machine learning in social robotics. His work includes leading 2 H2020, 4 FP7, 3 National R&D, and 3 Andalusian regional projects. Notable projects: MBZIRC 2020 (PI), collaboration with Honda Research Institute Japan, and EU-funded initiatives. He advocates for open-source code/datasets and industry technology transfer. Scientific Awards: ABB Award to the Best Doctoral Dissertation on Robotics (2007) Best Paper Award at ROBOT2019 Professional Roles: Associate Editor for Image and Vision Computing and IEEE Robotics and Automation Letters . Serves on ICRA/IROS conference program committees. Grant reviewer for FONDECYT (Chile), SBIR (USA), and ERC.

• Signal Processing
• Machine Learning
• Acoustic Engineering
• +۵ مورد دیگر

Manuel Rosa Zurera is a Full Professor at the Universidad de Alcalá, specializing in Signal Theory and Communications. He leads the AES3 research group focused on Acoustic and Electromagnetic Smart Sensor Networks and Signal Processing. His research emphasizes machine learning applications in audio analysis, biomedical signal processing, and passive radar systems. Dr. Rosa holds a PhD from Universidad de Alcalá (1999), supervised by Francisco López Ferreras. Research Interests : Dr. Rosa’s work spans acoustic signal localization, UAV detection, emotion recognition via speech analysis, and evolutionary studies of hominin auditory systems. His innovations include robust detection algorithms for passive radar, energy-efficient anger detection systems, and age/gender classification from speech using neural networks. He has pioneered acoustic sensor networks for urban security and biomedical diagnostics. Key Contributions : Over 150 peer-reviewed articles since 1999 demonstrate his expertise in signal processing for aerospace flutter analysis, real-time violence detection in smart cities, and 3D reconstruction of Neanderthal auditory capacities. His work bridges theoretical signal processing with practical applications in healthcare, surveillance, and evolutionary anthropology. Labs/Teams : Directs the AES3 group and collaborates on EU-funded projects like DVB-T radar systems and acoustic drone detection initiatives. Active in designing microphone arrays for hearing aids and wireless sensor networks.

Paula López Martínezمشاهده پروفایل

استاد

• Computer Vision
• Electronic Design of Intelligent Devices
• Energy Harvesting
• +۴ مورد دیگر

Paula López Martínez is a Full Professor at the University of Santiago de Compostela (USC) and Deputy Director of the Singular Research Centre on Intelligent Technologies (CiTIUS) . Since June 2024, she has held the Televés Microelectronics Chair at USC. Her work bridges Computer Vision and Electronic Design of Intelligent Devices , with a focus on CMOS Image Sensors and Biomedical Applications . Her research spans Energy Harvesting , Device Modeling , and Low-Power Embedded Systems . Key projects include SEMIoTICS (low-power AI at the edge), MISEL (multispectral vision), and NANOEATERS (nanotechnology transfer). She has authored over 100 peer-reviewed papers and served in IEEE leadership roles, including Secretary of the Sensory Systems Technical Committee and Treasury of IEEE Women in Engineering Spain (2006–2008). Recent publications highlight Analog Computing-In-Memory , HDR CMOS Sensors , and Energy-Efficient DC-DC Converters . Her work integrates Photovoltaic Energy Harvesting with Biomedical Device Design , emphasizing Self-Powered Systems and Dynamic Vision Sensors . She employs Verilog-AMS and ATLAS Simulations for CMOS Photodiode Modeling , addressing Crosstalk and Shot Noise in pixel arrays. Notable collaborations include Victor M. Brea, Diego Cabello, and Miguel Heredia Conde. She contributes to IEEE Transactions and Q1-Ranked Journals , with a focus on Hardware Acceleration via FPGA and Custom IC Design . Her expertise spans Thermoelectric Generators , Smart Energy Systems , and Radiation-Hard Transistors .

Juan Jesús García Domínguezمشاهده پروفایل

استاد

• Electronics Engineering
• Sensor Technology
• Biomedical Engineering
• +۳ مورد دیگر

Juan Jesús García Domínguez is a Professor in the Department of Electronics at the Universidad de Alcalá. His primary research focuses on sensor systems, wearable technology, and their applications in healthcare and smart environments. He leads the GEINTRA research group, dedicated to Electronic Engineering Applied to Intelligent Spaces and Transport. Dr. García Domínguez holds a PhD from Universidad de Alcalá (2006) with a thesis on infrared obstacle detection in railway environments. His research interests include biomedical sensors, inertial measurement units (IMUs), indoor localization systems (BLE/UWB), and elderly care technology. He has pioneered work on non-invasive behavioral monitoring, gait analysis, and wearable devices for vulnerable populations. Recent projects involve developing systems for activity recognition, fall detection, and telemedicine applications. Key contributions include the FrailWear wearable IoT device, BLE-based behavioral analytics frameworks, and multi-sensory systems for long-term patient monitoring. His work bridges electronic engineering with healthcare, emphasizing practical solutions for aging-in-place and smart transportation safety. Teaching includes digital electronics and active learning methodologies in engineering education. Dr. García Domínguez has published extensively on topics like acoustic positioning systems, IMU calibration algorithms, and NILM techniques for energy management. His lab focuses on translating sensor data into actionable insights for medical and environmental applications.

Carlos Molina Clementeمشاهده پروفایل

دانشیار

• Computer Architecture
• Mobile and Sensor Networks
• Cloud Computing
• +۸ مورد دیگر

Carlos Molina Clemente is an Associate Professor of Computer Architecture at Rovira i Virgili University in Tarragona, Spain. He holds a M.Sc. in Computer Engineering (Universitat Politècnica de Catalunya, 1996) and a Ph.D. in Computer Science (UPC, 2005). His research focuses on Computer Architecture, Mobile/Sensor Networks, and Cloud Computing. He leads the Cloudlab research group and coordinates initiatives like GTDAWIN and BIOGEI. Key research areas include multicore scheduling, LoRaWAN protocols, LIDAR data analysis, and serverless computing. He has published over 50 articles in top-tier conferences/journals and supervised three doctoral theses. His work spans projects on cache architectures, real-time systems, and educational multicomputing solutions. Affiliations include the Department of Computer Engineering and Mathematics (DEIM) at URV, with offices at Campus Sescelades (Avinguda Països Catalans 26, Tarragona). Research highlights include contributions to non-uniform cache policies, predictive mobile network algorithms, and energy-efficient sensor networks.

Antonio de la Olivaمشاهده پروفایل

استاد

• 5G Networks
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +۴ مورد دیگر

Antonio de la Oliva is a Professor at the University Carlos III de Madrid, affiliated with the School of Engineering. His primary research focuses on advanced networking technologies, including 5G/6G, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and mobile edge computing. He leads and contributes to major EU-funded projects such as 5G-CORAL, 5G-Transformer, and 5G-Crosshaul, which aim to integrate and optimize transport networks for industry verticals. He has supervised PhD students like Maria Isabel Sanchez Bueno (awarded UC3M's Special PhD Award) and Sergio Gonzalez Diaz. His work spans experimental evaluations of SDN-based service provisioning, network slicing, and deterministic communications for Industry 4.0. He actively engages in standardization efforts (e.g., IEEE 802.21, IETF) and collaborates with industry partners like Ericsson, Nokia, and Telecom Italia. His research also explores edge robotics, digital twins, and AI integration in networked systems. Key projects include developing the 5G-Crosshaul architecture for integrated fronthaul/backhaul networks and the SLICES-Madrid multi-domain TSN framework. He emphasizes practical applications in healthcare, emergency response, and industrial automation, leveraging edge-fog-cloud architectures.

• RFID Technology
• Anticollision Protocols
• Algorithm Analysis and Optimization
• +۳ مورد دیگر

Hugo Landaluce Simon is a Lecturer at the University of Deusto , affiliated with the School of Engineering and the Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Informatics and Telecommunications (2014) and an M.Sc. in Advanced Electronics Systems (2010) from the same institution. Research Focus : RFID technology, anticollision protocols, algorithm optimization, and wireless systems. His work bridges theoretical and experimental RFID studies, including hardware platforms, sensor networks, and applications in smart mobility. Supervised Theses : Guided Ph.D. research on passive computational RFID platforms (2021) and dynamic protocol strategies (2018, 2018). Notable Projects : Collaborator in Deusto Smart Mobility (2022–2025), Cognitive Computing for Resilient Cities (2022–2025), and Enhanced Data Processing for Multimodal Traffic (2021–2025). Email : hlandaluce@deusto.es His publications span RFID hardware design, anticollision protocols, and IoT applications, with recent work on polarization-diversity rotation sensing (2023) and fully customizable RFID platforms (2021). Articles emphasize algorithm analysis, energy efficiency, and sensor network integration.

• Wireless Communication
• Indoor Positioning
• Cellular Networks
• +۲ مورد دیگر

Martin Escalona is a researcher at the Department of Telematics Engineering, School of Telecommunications Engineering at Polytechnic University of Catalonia . He is affiliated with the GRXCA research group focusing on wireless communication networks and the ISG-MAK group specializing in Information Security and Applied Cryptography. Researcher in Wi-Fi positioning systems and cellular network optimization Primary focus on IEEE 802.11mc (Wi-Fi RTT) and its applications Active contributor to accessibility tools and assistive technologies His recent publications (2021-2025) reveal expertise in RTT-based positioning, ranging error analysis, and protocol implementation for wireless networks. He received the Best Short Paper Award at the 2023 International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Scientific committee memberships include: International Conference on Control, Automation & Information Sciences International Conference on Computer Sciences, Networking and Information Security IEEE Wireless Communications and Networking Conference

Enrica Valeria Zolaمشاهده پروفایل

استاد

• 5G
• Green Networking
• IEEE 802.11
• +۸ مورد دیگر

Enrica Valeria Zola is a Professor Agregat at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Telecommunications Engineering within the School of Telecommunications and Aerospace Engineering of Castelldefels (EETAC). She is an active member of two research groups: GRXCA (Group for Research in Cellular and Ad-hoc Communication Networks) and ISG-MAK (Information Security Group - Mathematics Applied to Cryptography). Her research focuses on wireless networking technologies, with particular expertise in Wi-Fi positioning systems (especially IEEE 802.11mc/RTT), 5G, ad-hoc networks, and mobile networking. With over 100 publications spanning from 2001 to 2025, her work demonstrates consistent contributions to the field. Recent publications (2021-2025) show a strong focus on Wi-Fi positioning technologies, particularly addressing challenges in accuracy, scalability, security, and implementation of the IEEE 802.11mc standard and RTT (Round Trip Time) positioning. Analysis of her 15 most recent publications reveals a cohesive research trajectory centered on improving wireless positioning systems. Her work spans theoretical analysis, practical implementation, security considerations, and performance optimization of Wi-Fi-based positioning technologies. She frequently addresses real-world challenges including NLOS (Non-Line-of-Sight) environments, hardware limitations, scalability issues in dense networks, and the integration of multiple positioning techniques for improved accuracy. Best Short Paper Award - International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2023 Best paper award - ICNS 2012 Professor Zola has served on scientific committees for numerous international conferences including the International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, IEEE PE-WASUN, and IEEE International Conference on Wireless and Mobile Computing. Her extensive collaboration network includes researchers such as Israel Martin-Escalona, Francisco Barcelo, and Andreas Kassler, reflecting her integration within the international wireless communications research community.

Nina Skorin-Kapovمشاهده پروفایل

دانشیار

• Optimization of Communication Networks
• Wide-Area Optical Networks
• Operations Research
• +۳ مورد دیگر

Dr. Nina Skorin-Kapov is an Associate Professor at the Technical University of Cartagena, associated with the Centro Universitario de la Defensa de San Javier. She holds a PhD in Telecommunications and Informatics from the University of Zagreb and completed a postdoctoral fellowship at Telecom ParisTech. Her research focuses on optimization of communication networks, wide-area optical networks, operations research, and heuristic algorithms. She leads the Computational and Telecommunications Engineering Group (GICOT) and serves on the editorial board of the IEEE/OSA Journal of Optical Communications and Networking. Her academic roles include teaching undergraduate courses on Electromagnetic Exploration Systems and graduate courses on Metaheuristics and Graph Theory. Key research contributions include work on network security, routing algorithms, and capacity planning in optical networks. Notable projects include the Movilidad Ecoeficiente y Conectada para Ciudadanos initiative (2020–2022), funded by IDAE. Her publications span topics like wildfire resource scheduling, drone control systems, and secure optical network design. Dr. Skorin-Kapov’s articles emphasize practical applications of optimization techniques, such as scheduling aerial resources for wildfire management and improving QoE in drone teleoperation. Her work bridges theoretical research with real-world network challenges, particularly in telecommunications and disaster response scenarios.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning
• +۳ مورد دیگر

Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.

• Circular Economy Entrepreneurship
• Social Entrepreneurship
• Agrifood Cooperatives
• +۴ مورد دیگر

Juan Diego Borrero Sanchez is a University Professor at the Higher Technical School of Engineering, University of Huelva, specializing in Business Management and Marketing. His research focuses on circular economy entrepreneurship, agrifood cooperatives, and machine learning applications in agricultural forecasting. Education: PhD in Agricultural Economics from University of Huelva (2002) His research spans interdisciplinary boundaries, combining business strategy with environmental sustainability and advanced data analytics. Key themes include: Circular economy ecosystems Social media's role in civic engagement Wireless irrigation monitoring systems Strawberry production time series analysis The articles demonstrate a strong focus on hybrid machine learning models (SVR, Kalman Filter) for agricultural yield prediction and sustainability analysis. His work with Twitter data analysis has produced multiple publications evaluating: Hashtag networks in social movements User-generated content for marketing Collective identity formation in digital spaces His applied research includes: LoRaWAN technology in agriculture Blockchain supply chain systems STEM education initiatives