Andrea Vinci

Andrea Vinci is a Researcher at the Italian National Research Council (CNR) under the Institute for High-Performance Computing and Networking (ICAR-CNR). His work bridges Machine Learning, Internet of Things (IoT), and Smart City technologies, focusing on scalable solutions for urban data analysis, energy optimization, and cognitive building systems.

Research Interests include:

• Developing multi-density clustering algorithms for urban hotspot detection
• Designing platform-agnostic IoT applications across edge-cloud architectures
• Applying quantum computing to energy management and cloud resource allocation
• Creating deep reinforcement learning models for human-driven smart environments
• Leveraging LSTM networks and federated learning for occupancy prediction
• Exploring blockchain-empowered swarm robotics for distributed control

Key Scientific Contributions:

• Best Paper Award at ACM Computing Frontiers 2023 for spatio-temporal crime prediction
• Pioneering the COGITO platform for cognitive building automation
• Advancing 32 Gb/s passive optical networks for high-loss environments