Marco Brambilla

I’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

IEEE Big Data Conference 2017: take home messages from the keynote speakers

December 13, 2017December 13, 2017 by Marco Brambilla, posted in big data, data science, event

I collected here the list of my write-ups of the first three keynote speeches of the conference: Human in the Loop Machine Learning (Carla E. Brodley, Northeastern Univ.) Enhancing Human Perception via Text Mining and IR (Cheng Zhai, Univ. Illinois) Graph Representation Learning (Jure Leskovec, Stanford and Pinterest)

Driving Style and Behavior Analysis based on Trip Segmentation over GPS Information through Unsupervised Learning

December 12, 2017 by Marco Brambilla, posted in big data, data science, event, IoT

Over one billion cars interact with each other on the road every day. Each driver has his own driving style, which could impact safety, fuel economy and road congestion. Knowledge about the driving style of the driver could be used to encourage “better” driving behaviour through immediate feedback while driving, or by scaling auto insurance … Continue reading Driving Style and Behavior Analysis based on Trip Segmentation over GPS Information through Unsupervised Learning

How Fashionable is Digital Data-Driven Fashion?

November 24, 2017November 24, 2017 by Marco Brambilla, posted in big data, data science, social network, social network analysis

FaST – Fashion Sensing Technology – is a project meant to design, experiment with, and implement an ICT tool that could monitor and analyze the activity of Italian emerging Fashion brands on social media.

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