Risultati di ricerca
Marco Brambilla è professore ordinario presso il Politecnico di Milano e si occupa di progetti di ricerca e innovazione relativamente a data science, big data, crowdsourcing, social media analytics e model-driven engineering.
Marco Brambilla is associate professor at Politecnico di Milano. His research interests include model-driven software engineering, data science, crowdsourcing, social media monitoring, behaviour analytics, knowledge extraction and engineering, and big data methods.
Marco Brambilla is full professor at Politecnico di Milano. He is active in research and innovation, both at industrial and academic level. His research interests include data science, software modeling languages and design patterns, crowdsourcing, social media monitoring, and big data analysis.
Marco Brambilla is Full Professor at Politecnico di Milano. His two main research tracks are (1) data science, computational social science, and big data analytics; and (2) model-driven...
- 2.2K
- Milano, Lombardia, Italia
- Politecnico di Milano
Scheda Docente. Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage. Contacts. Research activities. Timetable and detail. Innovative teaching.
- Brambilla Marco
- ING-INF/05-Information Processing Systems
- Full professor full time
I’m a professor of computer science at Politecnico di Milano, Italy. I lead the Data Science Lab at Politecnico di Milano, DEIB. My current research interests are on Web Science, Big Data Analysis, Social Media Analytics, and Model-driven Development. I currently teach courses on Systems and Methods and Models for Big and Unstructured Data ...
Marco Brambilla is full professor at Politecnico di Milano. He is active in research and innovation, both at industrial and academic level. His research interests include data science, software modeling languages and design patterns, crowdsourcing, social media monitoring, and big data analysis.
