Unit

Laboratory for Information in Networked Systems

Laboratory

Summary

The Information Laboratory in Recall Systems (LINX) at EPFL focuses on research in Algebraic Network Information Theory, particularly on the development of algebraically structured codes for network information theory. Their work has led to significant advancements in interference alignment, compute-and-forward techniques, and capacity problems in cognitive radio networks. LINX explores the computational potential of interference in networks, emphasizing the integration of cooperative communication strategies and the exploitation of interference as a form of computation. Their research has practical applications in sensor networks and physical-layer network coding, demonstrating improved performance in data transmission networks.

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Summary

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Related people (3)

Marco Bondaschi

Yunzhen Yao

Michael Christoph Gastpar

Michael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.

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Related publications (32)

Laboratory for Information in Networked Systems

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Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Spectral Estimators for High-Dimensional Matrix Inference