Phd, Università degli studi di Napolli Federico II, Italy
🌟 Alberto Moccardi is a dedicated researcher and Ph.D. candidate at the University of Naples Federico II in Naples, Italy, under the Department of Electrical Engineering and Information Technologies. His expertise spans Artificial Intelligence (AI) and Internet of Things (IoT) applications, particularly in predictive maintenance and smart road management systems. Alberto actively contributes to advancing human-centered AI methodologies to address pressing technological and societal challenges.
Publication Profile
ORCID
Education
🎓 Alberto Moccardi is pursuing his Ph.D. at the University of Naples Federico II. His academic journey is deeply rooted in electrical engineering and information technologies, emphasizing cutting-edge AI solutions in IoT ecosystems.
Experience
💼 With his role at the University of Naples Federico II, Alberto has developed a robust background in research and application-driven innovation. He has contributed to impactful projects in predictive maintenance and AI-driven road infrastructure management.
Research Interests
🔍 Alberto’s research interests focus on AI-driven methodologies, IoT applications, and human-centered systems. He is passionate about designing robust frameworks for adversarial attack detection in IoT systems and creating equitable solutions for smart city management.
Awards
🏆 Alberto’s innovative work has gained recognition through academic publications and conference presentations, reflecting his dedication to leveraging technology for societal benefit.
Publications
Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation
📜 Published: 2024-11-20 | Journal: Information
🔗 DOI: 10.3390/info15110740
AI Driven Potholes Detection for Equitable Repair Prioritization: Human-centred AI-driven methodology as support of road management system
📜 Published: 2023-12-14 | Conference: Proceedings of the 2023 Conference on Human-Centered Artificial Intelligence: Education and Practice
🔗 DOI: 10.1145/3633083.3633224