Find Academic Supervisors

• Biomedical Signal Processing
• Sleep Disorders
• Spinal Cord Injury
• +3 more

Yolanda Castillo Escario is a researcher at the Institute for Bioengineering of Catalonia , specializing in the Biomedical Signal Processing and Interpretation group. Her work focuses on leveraging smartphone sensors and machine learning to assess sleep disorders, trunk function in spinal cord injury patients, and respiratory diagnostics through cough acoustics. Key research areas: Sleep-disordered breathing, Spinal cord injury rehabilitation, Smartphone-based health monitoring Recent publications highlight her contributions to deep learning for apnea detection , accelerometry for sleep position analysis , and acoustic profiling of respiratory diseases . Her interdisciplinary approach bridges biomedical engineering, neuroscience, and mobile health technologies. As part of IBEC's collaborative initiatives, she works with hospitals and industry partners to translate research into practical applications. Her projects include clinical trials for spinal cord injury rehabilitation and epidemiological studies on respiratory disease patterns.

• Software Engineering
• Computer Languages and Systems
• Virtual Teaching Systems
• +3 more

Juan Jose Lopez Jimenez is a Substitute Professor at the Faculty of Informatics , Universidad de Murcia, affiliated with the Software Engineering research group and the Department of Computer Science and Systems Engineering. His work focuses on virtual teaching systems and knowledge-based intelligent feedback mechanisms. Education: Doctorate (PhD) in Computer Science from Universidad de Murcia (2023) Research Interests: Specializing in software engineering, computer languages, and systems with an emphasis on enhancing virtual education through intelligent feedback models. His doctoral research addressed the integration of common knowledge in virtual teaching environments. Collaborations: Supervised by Dr. José Luis Fernández Alemán and Dr. José Ambrosio Toval Álvarez, Lopez Jimenez contributes to the field of informatics and software systems.

• Quantum Information Processing
• Quantum Information Theory
• Entanglement
• +6 more

Géza Giedke is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) in Donostia-San Sebastián, Spain. His research focuses on the interface between quantum information theory and solid-state physics, with particular emphasis on implementing quantum information processing in physical systems and exploring fundamental aspects of quantum theory. Dr. Giedke's research interests span three main areas: quantum information theory (including entanglement and quantum channels), implementation of quantum information processing in solid-state and quantum optical systems, and the dynamics of open quantum systems . His work bridges theoretical quantum information with practical physical implementations, particularly using nanoscale structures like graphene nanoribbons and quantum dots. His recent publications reveal a strong trend toward quantum materials for quantum information applications , with increasing focus on graphene-based nanostructures, spin systems, and topological effects. The research shows a clear progression from fundamental quantum information theory toward concrete physical implementations, with significant contributions to understanding entanglement in solid-state systems, quantum transport phenomena, and the development of quantum devices. Dr. Giedke actively leads research projects including the recently granted GRAFIQ project ( "Harnessing quantum spin states, dynamics, and transport in graphene-based nanostructures" ) and the TENINT project ( "Tensor network methods for interacting electrons in quasi-1d graphene nanostructures" ). He has supervised numerous PhD students and postdoctoral researchers, building a strong research group focused on quantum information in condensed matter systems. He is actively involved in the quantum information community, having organized workshops including the "Nanotechnology meets Quantum Information" summerschool series and the "Basque Quantum Science and Technology Workshop" . Dr. Giedke also participated in the Benasque Quantum Information Workshop's "Future of Quantum Information" sessions as a moderator.

Enrique De Miguel AmbiteView profile

Professor

• Artificial Intelligence
• Cybersecurity
• Blockchain
• +3 more

Enrique De Miguel Ambite is a Professor at Camilo José Cela University teaching Computer Engineering, Management and Technology programs, and serves as Digital Research Director at FUNDITEC specializing in Artificial Intelligence, Cybersecurity, and Blockchain. With over 20 years of academic experience, he directs bachelor's and master's theses while leading European research initiatives. Educational background includes Telecommunications Engineering and Informatics Master's degrees from University of Alcalá, plus ongoing PhD studies in Applied Artificial Intelligence. He also holds a Master's in Business Administration and Technology. Research focuses on: Behavioural AI for cybersecurity frameworks and Trustworthy AI systems Enhanced UEBA (User Entity Behavioural Analysis) and Zero-Trust architectures Human-AI interaction models analyzing cognitive biases in decision environments Current research integrates AI with Industrial 4.0 for SME cybersecurity, emphasizing predictive maintenance through non-intrusive methodologies and human-AI collaborative problem-solving in complex industrial systems. Advising & Funding: Thesis director for bachelor's/master's programs Coordinator of EU H2020 VOJEXT project (ID:952197) on human-robot cognition Participant in IRON-IA, PATAFEST, Cybersec, ESPADIN, and AGRISOL initiatives Professional leadership includes Chairing Castilla-La Mancha's AI Commission for Telecommunications Engineers and representing Spain at international forums like Mobile World Congress after 22 years at Telefónica in Big Data/Cybersecurity innovation.

Antonio García LoureiroView profile

Professor

• High performance computing
• Electronic design of intelligent devices
• Semiconductor device simulation
• +3 more

Antonio García Loureiro is a Full Professor in the Department of Electronics at the University of Santiago de Compostela (USC), Spain. His research focuses on high-performance computing applications in semiconductor device simulation, photovoltaics, and wireless power transmission. He leads multiple research projects including rePowerSiC and HiPerHC2DA, and has extensive collaborations with international institutions. Dr. García Loureiro received his MSc in Electronic Physics and PhD in Electronics and Computer Science from the University of Santiago de Compostela in 1994 and 1999, respectively. He has been a visiting researcher at the Edinburgh Parallel Computing Centre (UK) and the Device Modeling Group at the University of Glasgow (UK). His primary research interests span high-performance computing for semiconductor device simulation, photovoltaic systems, and wireless power transmission technologies. He specializes in parallelization and optimization of numerical simulators for semiconductor devices, transistors, and solar cells. His work bridges the gap between computational methods and practical electronic device design, with applications in energy harvesting and conversion systems. Recent publications reveal a strong trend toward machine learning applications in semiconductor device modeling and optimization of laser power converters. His research group has made significant contributions to III-V nitride-based optical photovoltaic converters, silicon carbide systems for space applications, and high-efficiency photovoltaic technologies. The work spans from fundamental semiconductor physics to practical engineering applications in wireless power transmission. Dr. García Loureiro has received support for numerous research projects including: rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) HiPerHC2DA: High Performance, Heterogeneous and Cloud Computing for Demanding Applications (2023-2026) Ultra-Efficient Micro-Scale New Generation Hybrid Concentrator Photovoltaic Systems (2020-2023) Network on variability in Nanoelectronics (2014-2016) He leads a research team focused on semiconductor device simulation and photovoltaic technologies, with strong connections to international research groups working on high-performance computing applications in electronics. His laboratory utilizes advanced computational resources for semiconductor device modeling and optimization.

Patricia Sánchez HolgadoView profile

Researcher

• Science Communication
• Social Media Analysis
• Hate Speech Detection
• +3 more

Patricia Sánchez Holgado is a Researcher at the University of Salamanca within the Faculty of Communication , specifically the Department of Sociology and Communication . She earned her PhD in 2021 with a thesis on La comunicación de la ciencia de datos en España (Data Science Communication in Spain), supervised by Dr. Carlos Arcila Calderón. Research Interests: Science communication mechanisms Social media dynamics in academic contexts Hate speech detection and analysis Big data and AI public perception Recent Publications demonstrate expertise in longitudinal analysis of climate change communication on Twitter (2019-2022), AI adoption factors in Spain using UTAUT models, and hate speech detection methodologies. Her work bridges computational techniques with social science perspectives, particularly through sentiment analysis and automated classification of online discourse. Collaborations include significant projects with the Observatorio de la Comunicación Mediática del Cambio Climático and the DataScienceSpain initiative. She contributes to the academic community through editorial roles in journals like Disertaciones and participates in international conferences such as TEEM. Her research methodology combines machine learning approaches with traditional social science frameworks, focusing on intersections between technology, ethics, and public discourse.

• Data Mining
• Artificial Intelligence
• Machine Learning
• +3 more

Hugo Lopez Fernandez is an Assistant Professor in the Department of Computer Science at the University of Vigo. His research focuses on data mining and artificial intelligence techniques applied to mass spectrometry data for knowledge discovery. He is affiliated with the research group SI4 'Next Generation Computer Systems' and works at the Ourense campus under the ES Computer Engineering center. Education: Doctorate in Computer Science (2016) from the University of Vigo His research interests span computational methods for biomedical data analysis, machine learning, and advanced data engineering systems. Area of expertise: Languages and Computer Systems

• Educational Technology
• Learning Analytics
• MOOCs
• +7 more

Carlos Delgado Kloos is a Full Professor and Director of the Telematics Engineering Department at Universidad Carlos III de Madrid (UC3M), Spain. He is affiliated with the Escuela Politécnica Superior and leads research and innovation in educational technology, learning analytics, and AI-enhanced education. Education: Specific degree details are not provided in the text. Research Interests: His research spans educational technology , learning analytics , MOOCs , and AI applications in education . He explores how data-driven insights can enhance learning outcomes, student engagement, and instructional design. His work also includes smart learning environments , hybrid classrooms , and the use of generative AI in curriculum development and student support. Research Trends: His recent publications (2020–2025) reflect a strong focus on leveraging AI and machine learning to support education. Topics include predictive modeling for academic dropout, AI chatbots for programming education, micro-credentials, and the impact of telepresence technologies in hybrid classrooms. His work is highly interdisciplinary, combining computer science, education, and data science. Scientific Contributions: Director of the Telematics Engineering Department at UC3M Active researcher in learning analytics and AI in education Leads national and international R&D projects Advising & Grants: While specific student names and grants are not listed, his role as department director and prolific publication record indicate active supervision of graduate students and leadership in funded research initiatives. Labs & Teams: He is associated with two official research groups at UC3M: the Telematic Applications and Services Group (GAST) and the Network Technologies Group (NETTEC), both recognized by the university for their contributions to telematics and educational innovation.

• Educational Technology
• Artificial Intelligence in Education
• Learning Analytics
• +3 more

Carlos Alario Hoyos is an Associate Professor in the Department of Telematic Engineering at Carlos III University of Madrid, affiliated with the School of Engineering. His work bridges telematics and educational technology, focusing on learning analytics, generative AI, and digital learning environments. Current role: Associate Professor Research groups: GAST (Telematic Applications and Services), NETTEC (Network Technologies) Research interests include: AI-driven educational tools MOOC analytics and quality assessment Chatbot-based programming assistance Behavioral modeling in online learning Automated literature review systems Recent publications (2025-2024) analyze: Student performance prediction models Generative AI integration in education Micro-credentials and digital recognition Hybrid learning environments Telepresence classroom impacts Real-time educational analytics

• Online Advertising
• Data Privacy
• Social Network Analysis
• +6 more

Rubén Cuevas Rumin is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid. He serves as Deputy Director of Human Resources for his department and co-leads the Joint Institute of Big Data in Finance UC3M-Banco Santander , focusing on interdisciplinary applications of network and data science. Academic Affiliation: Carlos III University of Madrid Department: Telematics Engineering Department Institute: UC3M-Banco Santander Big Data in Finance His research bridges network performance analysis and digital advertising , with emphasis on user privacy and anonymity in web applications. He explores time-series classification , browser fingerprinting , and geolocation accuracy in adTech ecosystems. Recent work includes quantifying carbon footprints of online ads and designing zero-knowledge advertising frameworks. Scientific awards include I-COM Datascience Hackathon Winner (2016) . His publications reveal expertise in large-scale behavioral analytics , ad fraud detection , and energy-efficient networking . He actively investigates filter bubbles , contact tracing , and gender inequality through Facebook advertisement data.

• Internet of Things (IoT)
• Network Security
• Post-Quantum Cryptography
• +6 more

Daniel Díaz Sánchez is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , where he serves as Deputy Director of Laboratories . His research focuses on IoT security , Post-Quantum Cryptography , and network protocols . Email: daniel.diaz@uc3m.es Office: 4.0.F04 - Quevedo Towers (Leganés) His recent work explores DNSSEC soft delegation for microservices, quantum random number generators , and machine learning applications in cybersecurity. Key publication themes include IoT credential management , secure communication protocols , and control system optimization .

• Computer Science
• Geovisualization
• Heritage Conservation
• +3 more

Dr. Juan Luis Martin Romero is a researcher at the Universidad Politécnica de Madrid (UPM), affiliated with the research group focused on Geovisualization, Unique Spaces, and Heritage since November 2010. His work spans interdisciplinary domains at the intersection of computer science and cultural heritage preservation. Primary Affiliation: Universidad Politécnica de Madrid Research Group: Geovisualization, Unique Spaces and Heritage His professional activities emphasize: Computer Science applications in spatial analysis Innovative approaches to heritage conservation Digital humanities methodologies Advanced data visualization techniques

• Earth and Planetary Sciences
• Geosciences
• Earth-Surface Processes
• +3 more

Francisco Jose Navarro Valero is a Professor in the Department of Mathematics Applied to Information and Communication Technologies at the Technical University of Madrid (UPM), holding this position since 1994 with continued activity as of 2017. He serves as Principal Investigator of the Numerical Simulation Group in Science and Engineering, a role he has maintained since 2005. His research bridges applied mathematics with geoscientific applications, focusing on numerical simulation of earth-system phenomena. Key interests include Earth and Planetary Sciences, multidisciplinary Geosciences, Earth-Surface Processes, Physical Geography, and Environmental Sciences, where he develops computational models for complex geophysical systems. The Numerical Simulation Group in Science and Engineering, under his leadership, specializes in translating advanced mathematical techniques into practical solutions for environmental and earth-science challenges, emphasizing the application of information and communication technologies to model natural processes.

• Agronomy
• Soil Science
• Agronomy and Crop Science
• +2 more

Juan Bautista Grau Olive is a researcher at the Technical University of Madrid affiliated with the Signal Automation and Communications Group (GASC) since November 22, 2011. His research interests demonstrate significant interdisciplinary integration across domains: Agronomy and Crop Science Soil Science Computer Networks and Communications Civil and Structural Engineering This unique confluence of agricultural sciences and engineering disciplines reflects innovative applications of signal processing and automation technologies in agricultural monitoring systems and civil infrastructure. His work bridges theoretical communications frameworks with practical field implementations in agronomic contexts.

UNAI LOPEZ DE HEREDIA LARREAView profile

Lecturer

• Forest Genetics
• Bioinformatics
• Molecular Ecology
• +5 more

Dr. Unai Lopez de Heredia Larrea is a Lecturer at the Universidad Politécnica de Madrid , specifically within the Department of Natural Systems and Resources . His career spans over two decades at UPM, where he has held roles including Profesor Titular de Universidad since 2014. He actively contributes to both teaching and research, focusing on forest tree species' environmental adaptation through multidisciplinary approaches. Education : PhD in Forestry (specialization in Forest Genetics) from Universidad Politécnica de Madrid, Master's in Bioinformatics and Computational Biology from ENS-ISCIII. Dr. Lopez de Heredia's research integrates plant anatomy , physiology , and genetics to study forest tree adaptability, particularly Mediterranean pines and oaks. His work develops bioinformatic pipelines for NGS data analysis, addressing challenges in non-model species genomic resources. His recent publications emphasize computational approaches in population genetics, hybridization analysis in Quercus species, and environmental stress responses in conifers. The SimHyb2 and gymnotoa-db software tools he co-developed demonstrate his commitment to computational solutions in plant genomics. As a member of the Development of Woody Species and Communities (WooSp) Research Group since 2023, he contributes to understanding evolutionary forces in forest populations. His teaching responsibilities include Plant Anatomy , Biology , and Forest Genetics courses.