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Machine-Intelligence for Networks and Distributed Systems

We develop cutting-edge network systems that combine innovative algorithms, programmability, and AI-based techniques to enable unparalleled efficiency, scalability, security, and automation to modern infrastructures

The Machine-Intelligence for Networks and Distributed Systems Group (MINDS) aims at developing cutting-edge network systems with a focus on high performance, resilience, and sustainability. By uniquely integrating hardware and software programming, algorithmic theory, and AI-based techniques, we aim to build the infrastructure and the software required to sustain next-generation applications.

For the latest news and updates about the group, please visit our page: External group page

People

Group Leader

Marco Chiesa
Marco Chiesa associate professor

Group Members

Jonatan Langlet
Jonatan Langlet postdoc
Alexandra Udrescu
Alexandra Udrescu industry doctoral student
Changjie Wang
Changjie Wang doctoral student
Mohammad Siavashi
Mohammad Siavashi doctoral student