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  1. www4.ceda.polimi.it › manifesti › manifestiMarco Brambilla - CV, research and teaching statements

    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.

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      Marco Brambilla is full professor at Politecnico di Milano....

  2. marco-brambilla.comMarco Brambilla – Data Science and Model-Driven Engineering.

    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 ...

  3. www.deib.polimi.it › ita › personaleDEIB - Personale - polimi.it

    Prof. BRAMBILLA MARCO. 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.

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  5. marco-brambilla.com › wp-content › uploadsMarco Brambilla - CV, research and teaching statements

    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. scholar.google.com › citations‪Marco Brambilla‬ - ‪Google Scholar‬

    86. 2013. Articles 1–20. ‪Politecnico di Milano‬ - ‪‪Cited by 8,581‬‬ - ‪Data Science‬ - ‪Big Data‬ - ‪Web Data Management‬ - ‪Model-driven Engineering‬ - ‪Knowledge Extraction‬.

  7. orcid.org › 0000/0002/8753-2434Marco Brambilla (0000-0002-8753-2434) - ORCID

    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.