
Antonio Fernando Skarmeta Gómez
Professor in Telematics and Intelligent Systems, with a long track record in cybersecurity, trust, and distributed security research.
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Professor in Telematics and Intelligent Systems, with a long track record in cybersecurity, trust, and distributed security research.
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Associate Professor working on cybersecurity, trust, and privacy in distributed systems and secure IoT infrastructures.
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Associate Professor leading work on network softwarization and distributed AI orchestration, with applications in IoT, vehicular networks and B5G.
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Assistant Professor and researcher in IoT cybersecurity and certification, with major contributions to secure lifecycle and supply-chain trust work.
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Researcher in network access authentication and key management, with applied security outcomes in wireless/mobile systems and IETF-standardized SDN work.
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Associate Professor in cybersecurity and privacy, with strong work in decentralized AI for cyberattack detection and European standardization efforts.
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Associate Professor focused on network security, SDN/NFV security management, IoT authentication and practical contributions to IETF standards.
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Associate Professor in security, privacy and educational technology, with major involvement in national and international projects and conferences.
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Associate Professor collaborating with IETF groups (I2NSF, ACE, LAKE), researching authentication, key management and security for SDN/IoT/mobile infrastructures.
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Associate Professor in telematics with extensive national and European project direction and over one hundred publications.
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UMU researcher and engineer developing AI-assisted intrusion detection with emphasis on next-generation networking, federated learning and LLM-based threat analysis.
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Postdoctoral researcher in applied cryptography and privacy-preserving identity, with work spanning p-ABC, secure IoT ecosystems and decentralized attack detection.
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Postdoctoral researcher in mobile networking and IoT security, including secure communications, embedded systems and connected-mobility deployments.
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AI researcher in safety and LLM security, focused on robustness, distributed systems and privacy-preserving machine learning methods.
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Researcher/PhD student applying AI to phishing detection, human behavior analysis, and federated learning for cybersecurity defenses.
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PhD researcher using LLM-based software testing and fuzzing to improve robustness and automated vulnerability discovery.
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PhD student in cybersecurity with recognized academic performance, focused on large language models and applied security methods.
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Postdoctoral researcher in FL cybersecurity, with focus on robust machine-learning security for IoT against malicious and heterogeneous settings.
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Researcher and software engineer on cyber situational awareness, real-time threat detection and software architectures for 6G systems.
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Researcher in privacy-preserving CTI, AI planning and threat mitigation, with methods for obfuscation and response-driven security workflows.
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Researcher in secure onboarding and intrusion detection, with expertise in MUD/FDO standards and telecom/IoT threat mitigation.
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Researcher in AI-assisted intrusion detection and agentic AI, with work on collaborative multi-agent cyber systems.
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Researcher in 5/6G security, secure elements and trusted execution environments, with emphasis on eSIM and mobile infrastructure resilience.
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Researcher/PhD student in 5G/6G security and cyber infrastructure, focused on orchestration frameworks and virtualized security services.
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Postdoctoral researcher in active IoT/edge deployment and secure networking, with interests in orchestration and machine-learning-driven optimisation.
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Researcher in network planning and orchestration for secure connected mobility, including IoT authentication and secure radio deployments.
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Researcher/PhD student in cybersecurity with exceptional academic results, focused on network access authentication and SDN-centric security.
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Researcher and cybersecurity educator leading initiatives in blockchain and advanced penetration testing at University level.
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Researcher on privacy-preserving identity and EUDI wallet ecosystems, with experience teaching offensive security through microcredentials.
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Researcher in AI and federated learning with ongoing work on cyber-resilient intrusion detection in operational environments.
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Research engineer in behavioral cybersecurity, using multimodal AI and federated methods to model human-system interaction risks.
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Cybersecurity researcher focused on UEBA systems, applying AI and machine learning to model user behaviour and detect anomalies and potential threats.
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Researcher in secure networking and SDN orchestration, with practical experience in P4-based policy enforcement and industrial security projects.
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