Marco Brambilla

a49a9-ifml-logoI’m associate professor of Web Science and Software Engineering 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’m the inventor of the Interaction Flow Modeling Language (IFML) standard by the OMG, and of 2 patents on crowdsourcing and multi-domain search.

I started-up Fluxedo and WebRatio.

I currently teach:

  • Web Science (see course materials here)
  • Software Engineering
  • Advanced Software Engineering (Model-driven Engineering, see book here)

My most recent books:


Model Driven Engineering in Practice

(second edition)

Web Information Retrieval

Model-Driven UI Engineering
of Web and Mobile Apps with IFML

Recent Posts

Generation of Realistic Navigation Paths for Web Site Testing using RNNs and GANs

we propose a method that focuses on the generation of REALISTIC NAVIGATIONAL PATHS, i.e., web logs. Our approach is extremely relevant because it can at the same time tackle the problem of lack of publicly available data about web navigation logs, and also be adopted in industry for AUTOMATIC GENERATION OF REALISTIC TEST SETTINGS of Web sites yet to be deployed.

Coronavirus stories and data

Coronavirus COVID-19 is an extreme challenge for our society, economy, and individual life. However, governments should have learnt from each other. The impact has been spreading slowly across countries. There has been plenty of time to take action. But apparently people and government can’t grasp the risk until it’s onto them. And the way European … Continue reading Coronavirus stories and data

Data Science for Business Innovation. Live courses for executives and managers in Italy and The Netherlands

Starting October 2019, we open a new opportunity for companies: a 2-day hands-on course on Data-driven innovation for executive and managers. The course is specially developed for executives, managers, and decision-makers that need to handle the foundations of data analysis for taking informed decisions on data-driven business, innovation path and strategies within the enterprise. It … Continue reading Data Science for Business Innovation. Live courses for executives and managers in Italy and The Netherlands

Are open source projects governed by rich clubs?

we analyze open source projects to determine whether they exhibit a rich-club behavior, that is a phenomenon where contributors with a high number of collaborations are likely to cooperate with other well-connected individuals. The presence or absence of a rich-club has an impact on the sustainability and robustness of the project. We build and study a dataset with the 100 most popular projects in GitHub.

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