DAMIANI ANDREA
PHD Student in Information Technology
Andrea Damiani obtained his B.Sc. in Computer Science and Engineering at Politecnico di Milano in 2013. Subsequently, in 2016, he earned his M.Sc. cum laude in Computer Science and Engineering at the same university with the thesis work "A scalable framework for resource consumption modeling: the MARC approach,” carried out at the NECSTLab, a laboratory at the Department of Electronics, Information and Bioengineering.
To extend the validation of this work, he spent a period as Visiting Researcher at the SWARM Lab, University of California, Berkeley.
He has then undertaken the professional career as Frontend Software Engineer in the field of Big Data visualization of analytics on large containerized Cloud infrastructures in near realtime. He continued as Industrial IoT Specialist at the Bosch group within a national excellence team in charge of digital transformation in manufacturing and Industry 4.0. During this experience, he gained the university master “The Future of Engineering and Manufacturing: Industry 4.0” at CEFRIEL - Politecnico di Milano with a work on interaction and orchestration of services ingesting, transforming and monitoring data produced by manufacturing lines.
Presently, he is a Ph.D. student in Information Technology at NECSTLab.
His main interests concern resource consumption behavior modeling and hardware/software architectures for dynamic distribution of computation in Edge-Cloud infrastructures, with a focus on the Internet of Things.
To extend the validation of this work, he spent a period as Visiting Researcher at the SWARM Lab, University of California, Berkeley.
He has then undertaken the professional career as Frontend Software Engineer in the field of Big Data visualization of analytics on large containerized Cloud infrastructures in near realtime. He continued as Industrial IoT Specialist at the Bosch group within a national excellence team in charge of digital transformation in manufacturing and Industry 4.0. During this experience, he gained the university master “The Future of Engineering and Manufacturing: Industry 4.0” at CEFRIEL - Politecnico di Milano with a work on interaction and orchestration of services ingesting, transforming and monitoring data produced by manufacturing lines.
Presently, he is a Ph.D. student in Information Technology at NECSTLab.
His main interests concern resource consumption behavior modeling and hardware/software architectures for dynamic distribution of computation in Edge-Cloud infrastructures, with a focus on the Internet of Things.
