Rate My Professor Alex Chiumento

Alessandro Chiumento, known as Alex Chiumento, is an Assistant Professor in the Pervasive Systems group within the Faculty of Electrical Engineering, Mathematics and Computer Science at the University of Twente. His research centers on distributed intelligence over networked systems, mobile computing, autonomous multi-agent systems, and socially responsible engineering. Chiumento focuses on building extremely flexible, self-configurable, and adaptable wireless networks capable of addressing stringent and conflicting objectives related to user satisfaction, configurability, and durability. His expertise includes Computer Science, Internet of Things, Quality of Service, Throughput, Deep Reinforcement Learning, Sensors, and Energy Efficient systems. As part of the Pervasive Systems group, which specializes in networked smart sensing systems, pervasive computing, wireless systems, and sensor data analytics, his work contributes to applications in smart urban environments, smart life, and smart industry domains such as environmental monitoring, ambient assisted living, agriculture, transport, and predictive maintenance.

Chiumento serves as Programme Director for the Embedded Systems Master's programme (EMSYS) and is a member of examination boards including EB-CreaTe & I-Tech and EB-EE & EmSys. Since May 2022, he has been appointed Visiting Lector at Saxion University's Ambient Intelligence lectoraat. He supervises master's theses and PhD projects on topics like multi-agent systems for telecom networks, LLM-driven FPGA design, safe multi-agent reinforcement learning for UAV swarms, federated learning with intelligent agents, and context-aware multi-agent systems. Key publications include "Where Do We Go from Here?: Charting the Future of Unmanned Vehicles" (2025, WMNC), "Variable Packet Arrival Rates and Activity Durations in Human Activity Recognition with Wi-Fi Channel State Information" (2025, IntelliSys), "Optimizing Spectrum and Energy Efficiency in a Wifi-Based Industrial IoT Network" (2025, DCOSS-IoT), "Capacity and delay analysis of multi-hop wireless networks" (2025, Ad Hoc Networks), "RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar" (2024, ICICT), and supervised PhD theses such as "WIFI empowerment: Towards Flexible, Adaptable and Reliable QoS in IoT Networks" (2025), "Waves of well-being: An exploration of remote health monitoring across species using FMCW radar" (2025), and "SPECTRUM: Towards Self-aware Industrial IoT Systems" (2024). Chiumento is affiliated with the Digital Society Institute and listed as an AI expert.