Giuseppe Durisi

Giuseppe Durisi is a Professor at Chalmers University of Technology in Gothenburg, Sweden, specializing in information theory and communication systems. His research bridges mathematically rigorous solutions with practical engineering applications in wireless and optical communication.

• Primary affiliation: Communication Systems Group, Chalmers University.
• Research focus: Optimal information transmission, 6G network design, and theoretical foundations of deep learning.

Research Interests: Durisi investigates the interplay between latency, reliability, and throughput in digital communication, particularly in millimeter-wave and optical fiber channels. He develops finite-blocklength theory for efficient coding and explores how information theory can explain deep learning performance.

Recent Article Trends: His 2025–2024 work emphasizes 6G distributed MIMO networks, energy-harvesting protocols, and machine learning integration into communication theory. Key themes include random access protocols, privacy in wireless aggregation, and hardware-constrained massive MIMO.

Scientific Recognition: An IEEE Senior Member, Durisi has published extensively in top journals like IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

• Notable Collaborations: Work with teams on radio-over-fiber fronthaul, unsourced multiple access, and time-synchronized URLLC links.