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  1. 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.

  2. Prof. BRAMBILLA MARCO. Professore Ordinario. Sede: Edificio 20. Piano: 1°. Ufficio: 004. Tel.: 3651. Fax: 3411. Sede: Como-Anzani. Piano: 2°. Ufficio: 022. Tel.: 7621. marco.brambilla@polimi.it. Area di ricerca: Informatica. Linea di ricerca: Dati, web e società. Pagina Personale: https://marco-brambilla.com/

  3. 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 ...

  4. 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.

  5. 29 de ago. de 1976 · Email marco.brambilla@polimi.it Main Achievements Research focus: model driven software development methods, languages and tools. Special emphasis on modeling Web-based systems (UIs, Web services, BPM, search, crowdsourcing). Publication record: (see list at: http://dbgroup.como.polimi.it/brambilla/pubs)

  6. 86. 2013. Articles 1–20. ‪Politecnico di Milano‬ - ‪‪Cited by 8,531‬‬ - ‪Data Science‬ - ‪Big Data‬ - ‪Web Data Management‬ - ‪Model-driven Engineering‬ - ‪Knowledge Extraction‬.

  7. 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.