Giuseppe Durisi
Full Professor at the Communication System Group
Chalmers University of Technology
Gothenburg, Sweden
Directions to my office
About
My research area is information theory, a mathematical discipline that deals with optimal methods for representing, communicating and storing digital information. I’m currently interested in a broad range of topics:
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the characterization of the trade-off between latency, reliability and throughput in the transmission of digital information over both wireless and optical fiber channels
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the design of next-generation broadband cellular systems operating on the millimeter-wave part of the wireless spectrum and relying on advanced massive multi-antenna solutions
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the development of low-latency ultra-reliable communication systems.
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the development of a theory able to explain the astounding performance of deep neural networks.
Vision
I strive to find mathematically elegant solutions to practically relevant engineering problems in the field of information transmission and processing. Aiming for clarity and precision as well as making my research reproducible are among my top priorities.
My blog: short packets
News
2024-Q3: team updates
2 papers accepted, new members in the team
2024-Q2: team updates
7 papers (accepted + submitted), post-doc vacancy
2024-Q1: team updates
4 papers (URLLC, implementation of distributed MIMO, privacy), updated monograph, master program, vacancies
2023-Q4: team updates
A new 6G connectivity paper
2023-Q3: team updates
3 papers (massive random access, age of information, energy harvesting), monograph on information-theoretic generalization bounds in ML, 2 new team members
2023-Q2: team updates
1 paper (quantized massive MIMO), 1 new team member, invited talk at LSIT
Invited talk at LSIT 2023
Invited talk on short packets over massive random-access channels at the 2023 London Symposium on Information Theory
2023-Q1: team updates
6 papers (URLLC, massive random access, age of information), PhD defense, 1 new team member, vacancies, invited talk
Fredrik Hellström’s PhD defense
My PhD student Fredrik Hellström successfully defended his PhD thesis
Two papers at NeurIPS 2022
Two papers from our team at NeurIPS 2022 on information-theoretic generalization bounds
SSF project approved
The Swedish Foundation for Strategic Research has granted a new project to our group
Information-theoretic generalization bounds for learning and metalearning
Our funding proposal on information-theoretic generalization bounds for learning and metalearning has been approved