Alessandro Chiumento

Alessandro Chiumento is an Assistant Professor at the Department of Pervasive Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente. His research focuses on artificial intelligence, edge AI, wireless communication, and sensor systems for industrial and health applications.

• Key Research Areas: Reinforcement Learning, Deep Learning, 5G/6G Networks, Human Activity Recognition

Recent publications highlight his work in mmWave radar systems for vital sign monitoring, UAV-based communication networks, and AI-driven resource management for IoT. He has contributed to 5G-RedCap optimization, WiFi network performance analysis, and biomedical sensor development.

In 2024-2025, his team released comprehensive datasets for mmWave radar applications, explored non-invasive animal health monitoring, and advanced cross-layer QoS optimization frameworks. Earlier works (2016-2023) addressed Bluetooth mesh networking, LTE interference management, and multi-antenna systems for UAVs.

• Technical Themes: Spectrum Efficiency, Network Topology, Channel Quality Prediction, Autonomous Agents