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empowering-users-for-environmentally-sustainable-digital-practices-with-carbon-tracking-in-web-and-ai-interactions

Empowering Users for Environmentally Sustainable Digital Practices with Carbon Tracking in Web and AI Interactions

Marco Brambilla

a-graphrag-approach-for-energy-efficiency-q-a

A GraphRAG approach for Energy Efficiency Q&A

essential-concepts-of-data-architectures

Essential concepts of data architectures

msc-thesis-topics-and-proposals-polimi-data-science-lab-2024-prof-brambilla-marco

M.Sc. Thesis Topics and Proposals @ Polimi Data Science Lab - 2024 - prof. Brambilla Marco

thesis-topics-and-proposals-polimi-data-science-lab-2023-prof-brambilla-marco

Thesis Topics and Proposals @ Polimi Data Science Lab - 2023 - prof. Brambilla Marco

hierarchical-transformersfor-user-semantic-similarity-icwe-2023

Hierarchical Transformers for User Semantic Similarity - ICWE 2023

exploring-the-biversea-trip-across-the-digital-and-physical-ecospheres

Exploring the Bi-verse.A trip across the digital and physical ecospheres

conversation-graphs-in-online-social-media

Conversation graphs in Online Social Media

triggereu-cocteau-game-for-policy-making-introduction-and-demo

Trigger.eu: Cocteau game for policy making - introduction and demo

generation-of-realistic-navigation-paths-for-web-site-testing-using-rnns-and-gans

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

analyzing-rich-club-behavior-in-open-source-projects

Analyzing rich club behavior in open source projects

analysis-of-online-debate-on-longrunning-political-phenomenathe-brexit-case

Analysis of On-line Debate on Long-Running Political Phenomena.The Brexit Case 

community-analysis-using-graph-representation-learning-on-social-networks

Community analysis using graph representation learning on social networks

available-data-science-msc-thesis-proposals

Available Data Science M.Sc. Thesis Proposals 

data-cleaning-for-social-media-knowledge-extraction

Data Cleaning for social media knowledge extraction

Marco Brambilla is a full professor at Politecnico di Milano. 

His two main research tracks are: (1) data science and big data analytics; (2) AI explainability; and (3) model driven engineering. 
On big data analytics, he is running research projects on large-scale data management and data fusion in multiple contexts, spanning social media, smart city, utility and mobility, commercial events, and cultural/art initiatives.

On model-driven engineering, he works on MDD, domain-specific languages (DSL), web application design, big data analytics, data science and computational intelligence for social networks, IoT, crowdsourcing, and search engines. 
He authored the OMG standard IFML.