Sapienza University of Rome, Network Control Lab

I am member of the Network Control Laboratory at the Department of Computer, Control and Management Engineering “Antonio Ruberti”, of Sapienza University of Rome, Italy. We are expert in the design and development of automatic control systems for optimizing networks (particularly, energy, transport and telecommunication networks), using advanced control techniques such as classic and data-driven model predictive control (MPC), optimal control, and (deep) reinforcement learning (RL), both considering centralized and decentralized versions. The Network Control Laboratory has a vast experience in project proposal writing and execution, having contributed to more than 50 international projects. We contribute to requirements and technical specification, design and implementation of control solutions, simulation and pilot support. We strongly contribute to scientific dissemination. We are interested in joining consortia working in the energy sector, in topics such as network optimization, storage and RES integration, demand side management, PEV smart charging, balancing and trading algorithms, building district control, control for cyberphysical energy systems, etc. The Department of Computer, Control, and Management Engineering Antonio Ruberti is a center for research and education at the undergraduate and graduate levels. It counts more than 100 faculty members (full, associate and assistant professors), around 200 between PhD students and post-docs and 19 administrative and staff units. The DIAG research groups are internationally renowned and carry out their activities in the areas of Computer Science, Control Engineering, Management Engineering, Bioengineering, and Operations Research. Over the years they have received numerous national and international awards, European funding, including those of the European Research Council, as well as prizes conferred by the most important scientific associations and substantial competitive funding to innovative start-ups. DIAG main research objective focuses on fundamental research, with strong emphasis on interdisciplinary research, on applications stimulating fundamental research, as well as on technology transfer, dissemination and exploitation of the obtained results. DIAG members collaborate actively with researchers of other universities, research institutions and companies, in Italy and abroad. The department has been identified by MUR (Ministry of Universities and Research) as Department of Excellence for the five-years period 2018-2022. Every year DIAG gets research funds for an average of 2 millions from competitive calls in National and European research programs (including ERC programs) and from contracts with public and private entities.