PIMPINELLA Andrea

Dr. Andrea Pimpinella received a bachelor’s degree cum laude in Electronics Engineering at University La Sapienza, Rome (Italy) in 2015. Afterwards, he joined the Master of Science in Telecommunications Engineering at Politecnico di Milano, where he received a degree cum laude in April 2018 with a thesis on heuristic approaches for load balancing in smart-meters networks. He then started a Ph.D. program in Information Technology, joining the Advanced Networking Technologies Laboratory (ANTLab) at Politecnico di Milano, where he received the title cum laude in February 2022. His PhD thesis focused on the design and evaluation of data-driven and Artificial Intelligence-based approaches to monitoring and management of communications networks. From February 2022 to November 2023, Dr. Pimpinella spent one year as post-Doc and 6 months as Junior Researcher at ANTLab, Politecnico di Milano. During this period, Dr. Pimpinella was a visiting scholar at the department of Urban Studies and Planning of MIT, Boston, from January to March 2023, where he used mobile phone data to study the variability of people's presence in Italian inland areas with specific focus on the effects of COVID-19 pandemic. Currently, Dr. Pimpinella is Junior Researcher at the Management, Information and Production Engineering of Università degli Studi di Bergamo, Italy.

The research activities of Dr. Pimpinella focus on the development of data-driven, Quality of Experience oriented, and Artificial Intelligence-based approaches to monitoring and management of communication networks. Dr. Pimpinella gained expertise in mining information from raw, in-network measurements, with the final goal of developing Machine Learning-based systems able to predict future outcomes of crucial Key Performance Indicators (including network traffic volumes, occupation of network resources, energetic load, propagation signal quality, etc.), perform Network Anomalies Detection and model the mapping of Quality of Service onto Quality of Experience.

Dr. Pimpinella authored journal articles including Computer Communications and Computer Networks, as well as several publications in conferences with topics broadly related to communications networks, e.g., IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM), wireless networks, e.g., IEEE Wireless Communications and Networking Conference (WCNC), and network management, e.g., IEEE Network Operations and Management Symposium (NOMS), Conference on Network and Service Management (CNSM). Dr. Pimpinella was a TPC member at the International Workshop on Green and Sustainable Networking and Publication Chair of IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN).

2024
Dr. Pimpinella is working on the design of a cellular traffic forecasting algorithm able to leverage information retrieved from domains external to the network itself which are known to have an impact on traffic’s dynamic (e.g., the occurrence of a mass event in a city). Also, Dr. Pimpinella is collaborating with Telco industrial partners to the development of i) statistical approaches able to detect congestion in cellular network’s access points with more-than-one year forecasting horizons and ii) unsupervised learning approaches able to detect energy consumption profiles of radio access point and predict future consumptions under variable traffic loads and network configurations. Dr. Pimpinella is also involved in the project “Towards the Smart Villages of Italy”, whose goal is to understand how the digitalization of extra-metropolitan territories could offer new development trajectories while enhancing existing heritage and sustaining local communities in small towns. In this context, Dr. Pimpinella is leveraging real-world mobile radio access data to investigate the impact of Covid-19 on the way citizens visit Italian small towns, with the final goal of finding the relationship between citizen visiting behaviors and the urban context characterizing the area under study.