Programming and Optimization of Cyber-Physical Eco-Systems

The researches generally concern the sector of digital processing systems with particular regard to the optimization of metrics such as performance, energy and thermal consumption through techniques at the level of programming models, operating system, runtime and firmware. The purpose of the research, both at a theoretical and application level, is the optimized management of the various levels of a cyber-physical ecosystem (IoT sensor / actuator node, edge computer, high-performance computing system - HPC) also using artificial intelligence tools. The activity is carried on using real and simulated cyber-physical systems in a real-time environment. Part of the activities are also aimed at the study of brain-inspired neuromorphic computation models for embedded applications. Overall, three main lines of research can therefore be identified: i) Programming and optimization models of (eco) cyber-physical systems; ii) HiL (Hardware-in-the-loop) simulation and co-simulation techniques of complex cyber-physical systems; iii) Embedded neuromorphic systems. 

ERC Fields 

  • PE6_1 - Architettura dei calcolatori, informatica pervasiva, informatica diffusa (ubiquitous) 
  • PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber physical system 
  • PE6_3 Ingegneria del software, sistemi operativi, linguaggi di programmazione 
  • PE7_3 Ingegneria della simulazione e della modellazione 

Scientific coordinator: Prof. Andrea Acquaviva 


Andrea Acquaviva

Full Professor

Andrea Bartolini

Associate Professor

PhD Students and Research Fellows

Francesco Barchi

Junior assistant professor (fixed-term)

Emanuele Parisi

PhD Student

Research fellow

Luca Zanatta

Research fellow

PhD Student