جست‌وجوی استاد و پژوهشگر

• Distributed Multimedia Applications
• eHealth
• Genomic Information
• +۴ مورد دیگر

Jaime Delgado Mercé is a Full Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Department of Computer Architecture and the Barcelona School of Telecommunications Engineering . His work focuses on Distributed Multimedia Applications , eHealth , Genomic Information , Metadata , Privacy , and Security , with a particular emphasis on standards development. Professional Category: Professor University: Universitat Politècnica de Catalunya Department: Computer Architecture Delgado's research explores the intersection of digital security , data privacy , and multimedia standards . He has contributed to frameworks for provenance in eHealth , privacy-enhancing annotations , and secure genomic information systems . His work aligns with FAIR principles and TRUST guidelines , ensuring data integrity and ethical compliance. Recent publications include standards for JPEG Systems (2024), privacy in genomic data (2023), and security-for-safety assurance for IoMT (2023). He collaborates extensively on international standards like ISO/IEC JTC 1/SC 29/WG1, focusing on provenance metadata and secure software .

Roberto Iglesias Rodríguezمشاهده پروفایل

دانشیار

• Machine Learning
• Robotics
• Continual Learning
• +۶ مورد دیگر

Roberto Iglesias Rodríguez is an Associate Professor at the University of Santiago de Compostela, Spain, with a focus on robotics and machine learning. He holds a B.S. and Ph.D. in Physics from the same institution (1996, 2003). His work addresses lifelong robot learning, federated learning, and deployment of intelligent systems in heterogeneous environments. Current affiliation: University of Santiago de Compostela Academic rank: Associate Professor Education: B.S. and Ph.D. in Physics (1996, 2003) His research spans robotics, machine learning, and sensor fusion , emphasizing adaptive algorithms for non-IID data, concept drift, and real-time environmental interaction. Projects include service robots learning from humans, distributed control architectures, and federated learning strategies. Recent publications analyze continual learning , scene recognition , and human-robot collaboration . Key themes: robust navigation, multi-sensor systems, and explainable AI.

• Computer Networks
• Software-Defined Networking (SDN)
• Telecommunications
• +۵ مورد دیگر

José Manuel Arco Rodríguez is an Associate Professor in the Department of Automation at the Universidad de Alcalá (Spain). He holds a Doctorate from the same institution for his thesis Propuesta de optimización de la interconexión de redes con calidad de servicio para aplicaciones multimedia (2000), supervised by Dr. Daniel Meziat Luna. His research focuses on intelligent networks, software-defined networking (SDN), edge computing, and telecommunication systems, with particular emphasis on network optimization, protocol design, and AI integration in network architectures. He leads the NetIS research group (Networks and Intelligent Systems), exploring cutting-edge solutions for scalable, reliable data center networks and industrial IoT ecosystems. Key research areas include in-band network control, hybrid SDN architectures, multi-hop edge computing with IoT devices, and low-latency bridging protocols. His work spans theoretical frameworks to hardware implementations (e.g., NetFPGA), with a strong emphasis on practical applications in data centers, campus networks, and industrial environments. Recent contributions address AI-driven network management, plug-and-play routing protocols, and zero-configuration network architectures. Publications highlight advancements in SDN topology discovery (TEDP), scalable addressing (GA3), and path exploration protocols (ARP-Path, All-Path Bridging). His research bridges theoretical networking principles with real-world deployment challenges, often emphasizing interoperability between legacy and modern systems. Arco Rodríguez has collaborated on EU-funded projects and contributed to international standards for network protocols. His lab (NetIS) actively develops open-source tools for network analysis and simulation. Current research trends include AI-enhanced softwarized networks and cloud-edge continuum architectures for IIoT.

• Teaching Methodologies
• Educational Software
• Cryptography
• +۳ مورد دیگر

Dr. José Vicente Aguirre is an Associate Professor at the University of Alicante since 2017, affiliated with the Department of Computer Science and Artificial Intelligence, Higher Polytechnic School III. He holds a PhD in Computer Science (2016) and a degree in Computer Engineering (2004), both from the University of Alicante. His research focuses on secure communication protocols, cryptography, and cybersecurity applications in computing. He has directed 6 undergraduate/master's theses in the last 5 years and actively contributes to educational software and teaching methodologies innovation. Key Research Trends Cybersecurity protocol development (P2P, mobile devices) Random generation algorithms for cryptographic applications ICT integration in higher education Statistics-to-machine-learning pedagogy Secure multimedia transmission He has participated in 5 public research projects (2009-2012, 2024) under the "Criptología y seguridad computacional" program, with collaboration in journals like International Journal of Applied Mathematics and Informatics and conferences in educational technology.

• Cryptography
• Cybersecurity
• Information Security
• +۳ مورد دیگر

Rafael Ignacio Álvarez Sánchez is a Full Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Polytechnic School. He has held this position since 2017 after progressing through academic ranks from Teaching Assistant (2005) to Associate Professor (2007-2008). He served as Department Director from 2016-2021, Deputy Director in multiple periods (2012, 2013, 2016), and Department Secretary from 2008-2012. His academic home is firmly within the University of Alicante where he completed all his formal education. Dr. Álvarez earned his Computer Engineering degree in 2001, Advanced Studies Diploma in 2003, and PhD in Computer Science in 2005, all from the University of Alicante. He received the Extraordinary Doctorate Award in 2009 and completed a postdoctoral research stay at the Claude Shannon Institute in Dublin under the José Castillejo program in 2008. His English proficiency is certified at C2 level (Cambridge Proficiency). His research focuses primarily on cryptography, cybersecurity, and information security with expanding applications in machine learning. Recent work examines adversarial attacks in neural networks and advanced malware detection using deep learning. He has directed 7 doctoral theses, including two defended in July 2024 on adversarial neural network attacks and malware detection. His publication record spans cryptographic techniques, security protocols, and machine learning security applications. His scholarly output shows consistent focus on cryptographic methods and security systems, with recent publications addressing modern challenges in machine learning security and password protection. The research trajectory demonstrates evolution from foundational cryptographic research toward contemporary security challenges in AI systems and advanced computing environments. Extraordinary Doctorate Award (2009) Predoctoral collaboration grant from the Ministry of Education Postdoctoral grant under the José Castillejo program C2 level English certification (Cambridge Proficiency) Professor Álvarez has directed or co-directed 29 undergraduate/master's theses in the last five years and 7 doctoral theses overall. He has participated in 5 public research projects over the last five years as both coordinator and collaborator, including projects funded by the Valencian Government and Ministry of Education. His research group affiliation is with Cybersecurity and Computing (CSC) at the Institute of Computer Research. Current work appears focused on the intersection of machine learning security and traditional cryptographic methods, particularly examining adversarial attacks and advanced malware detection techniques.

• Computer Science
• Collaborative Learning
• Human-Computer Interaction
• +۶ مورد دیگر

Manuel Ortega is a Full Professor at the Department of Information Technologies and Systems , Universidad de Castilla-La Mancha , Spain. His career spans over three decades, with a focus on Human-Computer Interaction (HCI) , Collaborative Learning , and Algorithmic Thinking . Education : Bachelor (1982), Master (1983), and Ph.D. (1990) in Physical Chemistry from the Autonomous University of Barcelona . Research Interests : CSCL (Computer-Supported Collaborative Learning) CSCW (Computer-Supported Cooperative Work) Eye Tracking for Usability Analysis Algorithm Visualization Groupware Systems Mobile and Immersive Learning Article Trends : His recent work explores collaborative mobile applications , AR for education , and microgrid energy systems , reflecting interdisciplinary interests bridging computer science , education , and sustainable energy . Teaching & Collaboration : He co-developed tools like COLLECE-2.0 (collaborative Eclipse programming), CodES (algorithmic visualization), and Excursiona (nature excursions). He has collaborated extensively with researchers like Ana Isabel Molina Díaz and César Collazos.

• Electronics
• Communications
• Industrial Internet of Things (IIoT)
• +۵ مورد دیگر

Nekane Ione Sainz Bedoya is a lecturer and researcher at the University of Deusto , College of Engineering , in the Computing, Electronics and Communication Technologies department. She received her M.S. in Telecommunications Engineering from the University of Deusto in 2001 and PhD in Engineering from the University of Navarra in 2005. Dr. Sainz's research focuses on Industrial Internet of Things (IIoT) Blockchain applications in industry and education Wireless sensor networks Intelligent transport systems Smart cities Renewable energy systems Her work spans over 20 years with significant contributions in vehicular communication systems and recent innovations in blockchain integration for Academic credential verification Food supply chain traceability Green hydrogen certification She has co-authored 10+ journal articles and 22+ conference papers, developing energy-efficient protocols for wireless networks and practical IoT-blockchain platforms. Dr. Sainz collaborates with industry leaders like Telefónica and Accenture on projects including Smart energy systems Industrial 4.0 Circular food systems Public lighting management She supervises research projects such as ACM2024_21 (AI Models for Early Dropout Prediction) Urban Adaptation Solutions (2024-2028) Green Hydrogen Blockchain Management (2024) European Circular Food Systems (2020-2024)

• Information Security
• Applied Cryptography
• Vehicular Networks (VANETs)
• +۴ مورد دیگر

Isabel Victoria Martin-Faus is a Researcher at the Polytechnic University of Catalonia (UPC) in the Department of Telematics Engineering , with a focus on the Information Security Group (ISG-MAK) . Her work spans cybersecurity, applied cryptography, vehicular networks, and quality of service (QoS) in heterogeneous communication environments. Research Interests: Specializing in Behavior-based intrusion detection systems for IoMT Markov-reward modeling for VANETs QoS frameworks for adaptive video streaming Security in public blockchain applications Performability analysis of network protocols Project Involvement: Key contributor to national and regional R&D initiatives including Cátedra CARISMATICA (cybersecurity chair) and SECONNET (secure multimedia commerce on heterogeneous networks). Collaborator in journals like IEEE Transactions on Vehicular Technology and Computer Communications. Contact: ORCID 0000-0001-9975-8791 | WoS Researcher ID K-8187-2015 | Scopus ID 35619876000

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.

• Information systems
• Database design and management
• Text indexing and retrieval algorithms
• +۵ مورد دیگر

Dr. María de los Ángeles Saavedra is a researcher at the University of A Coruña (UDC) , affiliated with the Faculty of Computer Science in the Department of Computer Science and Information Technology . She has completed 4 five-year teaching merit evaluations and 4 six-year research merit evaluations. Her research focuses on information systems , text indexing algorithms , and digital content management . Key trends in her recent work include housing market analysis databases , cultural heritage GIS applications , and business intelligence systems . She has participated in software patent projects and developed systems for digital libraries, perfumery inventory management, and multi-device educational platforms. Her research has been funded by entities including the European Union , Ministry of Science and Innovation , and Galician Innovation Agency .

Antoni Martínez Ballestéمشاهده پروفایل

دانشیار

• Internet of Things
• Multimedia Data Networks
• Security and Privacy
• +۶ مورد دیگر

Antoni Martínez Ballesté is an Associate Professor at the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV) since 2003. He holds a PhD in Telematics Engineering from Universitat Politècnica de Catalunya (2004) and a postgraduate specialization in the European Higher Education Area (2006). He is a Senior Member of IEEE and leads the Smart Technologies research group (formerly Smart Health URV) since 2014. His research focuses on applying Information and Communication Technologies (ICT) to healthcare and quality of life improvement, with expertise in IoT, cybersecurity, and privacy-preserving systems. He has served as a visiting professor at Shanghai Maritime University (China) and LAAS-CNRS (France) and has contributed to projects like SIMPATIC and ACTUA. Education: PhD in Telematics Engineering (UPC 2004), Postgraduate Specialist in European Higher Education (URV 2006). Research interests include smart health, context-aware systems, and ethical implications of technology. He collaborates with institutions like the Crises group and the Smart Health initiative. Key contributions include privacy-aware video surveillance platforms, smart classroom infrastructure using IoT/AI, and systematic reviews in railway security and cognitive cities. His work spans 119 publications across journals, books, and conferences, with notable contributions in IEEE Access, Sensors, and Expert Systems with Applications. He advises PhD students on topics like trajectory analysis and statistical disclosure control. Teaching roles include courses on programming, data networks, and research methodology at undergraduate and master's levels. He actively organizes workshops on scientific writing and cybersecurity for PhD students, emphasizing interdisciplinary innovation in computer science and healthcare.

Ivan Vidalمشاهده پروفایل

دانشیار

• Network Functions Virtualization (NFV)
• 5G networks
• Unmanned Aerial Systems (UAS)
• +۳ مورد دیگر

Ivan Vidal is an Associate Professor at Universidad Carlos III de Madrid, affiliated with the Department of Telematics Engineering at Escuela Politécnica Superior. He holds a Telecommunication Engineering degree from the University of Vigo (2001) and a Ph.D. in Telematics Engineering from Universidad Carlos III de Madrid (2008). His career includes roles as Teaching Assistant (2002–2008) and Visiting Professor (2008–2022) before his current position. Research focuses on Network Functions Virtualization (NFV), 5G networks, unmanned aerial systems, network security, Information-Centric Networking (ICN), and multimedia networking. He leads projects like H2020 FISHY (cyber resilient supply chains) and H2020 LABYRINTH (drone traffic management), and co-leads the national project TRUE5G (self-managed 5G networks). His work involves collaborations with institutions like Telefónica I+D and the Instituto de Telecomunicações (Portugal). Teaching includes courses on Audiovisual Services across three undergraduate programs. He contributes to the NETCOM research group, managing projects like the L2S-M open-source Kubernetes networking solution. Ongoing initiatives emphasize multi-site NFV testbeds and 5G vertical services integration.

• Technology-Enhanced Learning
• Social Emotional Learning
• Music and Education
• +۳ مورد دیگر

Emily Theophilou is a postdoctoral researcher at the Department of Information and Communication Technologies at Universitat Pompeu Fabra (UPF), Barcelona. She is affiliated with the Interactive and Distributed Technologies for Education (TIDE) Group. Her academic journey includes a BSc in Multimedia Computing (First Class) from Coventry University (UK) and a Master’s in Cognitive Systems and Interactive Media from UPF, followed by a PhD from UPF. Her research focuses on Technology-Enhanced Learning, Social Emotional Learning, Music and Education, and leveraging social media for educational purposes. Her work explores innovative educational methodologies, such as AI-driven assessment tools, empathy training in cyberbullying prevention, and narrative scripts embedded in social media platforms. She investigates how technology can address challenges like algorithmic transparency, digital literacy, and collaborative learning dynamics. Her recent publications highlight trends in AI ethics, chatbot interactions, and gender dynamics in digital learning environments. She also examines the impact of nudging principles on user safety and the role of social media in adolescent behavior development. Emily’s contributions include developing tools like Soéle for evaluating social awareness in learning designs and exploring distributed learning models. She emphasizes educational narratives and collaborative scripts to enhance critical thinking and self-protection skills among students.

• Artificial Intelligence
• Optimization Algorithms
• Software Engineering
• +۳ مورد دیگر

Antonio Moratilla Ocaña is a Professor at the Department of Computer Science (Ciencias de la Computación) at Universidad de Alcalá. He is affiliated with the AUDITAI research group focused on Research, Development and Analysis of Complex and AI Software. His doctoral thesis (2017) explored 'Intelligent Management of Road Distribution of Hydrocarbons'. Education: PhD in Computer Science from Universidad de Alcalá (2017), supervised by Dr. Eugenio José Fernández Vicente. Research Interests: His work bridges AI and optimization techniques with real-world applications. Key areas include: Genetic Algorithms for logistics optimization (e.g., VRP problems) AI-driven narrative text generation from data Integration of multimedia and ERP systems IT governance frameworks (ITIL, COBIT, EFQM) Application of machine learning in tourism and healthcare sectors Publications Trends: His work spans 25 years (1996-2018), with recent emphasis on AI applications in logistics, healthcare informatics, and software engineering. Early work focused on tourism information systems and XML-based educational tools. Advising & Grants: No specific grants or student advisees listed, though his research group likely engages in collaborative projects. His thesis supervision record is not detailed here. Labs/Teams: Active member of the AUDITAI group, dedicated to advanced software development for AI applications.

Carlos Jesús Bernardos Canoمشاهده پروفایل

استاد

• IP Mobility Management
• Network Virtualization
• Cloud Computing
• +۷ مورد دیگر

Carlos Jesús Bernardos Cano is a Professor at the Telematics Engineering Department of University Carlos III of Madrid, part of the School of Engineering. He holds a Telecommunication Engineering degree (2003) and a PhD in Telematics (2006), both from the same university. Teaching: Courses on Advanced Communications Networks, Mobile Networks, NFV/SDN, and Software Networks. Research: Focuses on IP mobility management, network virtualization, 5G networks, vehicular communications, and experimental evaluation of mobile wireless networks. Projects: Led EU-funded initiatives like 5G-TRANSFORMER, 5Growth, and MEDIEVAL as Project Coordinator or Technical Manager. Standardization: Active IETF contributor with co-authored RFCs (e.g., RFC 6276, RFC 7028, RFC 7148) and co-chair roles in multiple working groups. His recent publications emphasize 5G network slicing, NFV/MEC integration, and distributed ledger applications, reflecting his leadership in evolving mobile and cloud-based architectures. Scientific contributions include a Best Paper Award at IEEE INFOCOM 2011 and over 100 peer-reviewed articles. Advising: Mentored numerous PhD and Master’s students (e.g., Fabio Giust, Marco Gramaglia). Collaborations: Works closely with IMDEA Networks Institute and international institutions like University of Cambridge and University of Coimbra.