Dr. Giuseppe Durisi’s research area is information theory, a mathematical discipline that deals with optimal methods for representing, communicating and storing digital information. His research activity covers a broad range of topics, both theoretic and applied, which include: i) the characterization of the trade-off between latency, reliability and throughput in the transmission of digital information over both wireless and optical fiber channels; ii) the design of 5G broadband cellular systems operating on the millimeter-wave part of the wireless spectrum, and relying on advanced massive multi-antenna solutions; iii) the development of next-generation low-latency ultra-reliable communication systems.
Dr. Durisi received the Laurea degree summa cum laude and the Doctor degree both from Politecnico di Torino, Italy, in 2001 and 2006, respectively. From 2002 to 2006, he was with Istituto Superiore Mario Boella, Torino, Italy. From 2006 to 2010 he was a postdoctoral researcher at ETH Zurich, Zurich, Switzerland. Since 2010, he has been with Chalmers University of Technology, Gothenburg, Sweden, where is now professor. He is also guest researcher at Ericsson, Sweden, and co-director of Chalmers ICT Area of Advance.
Dr. Durisi is a senior member of the IEEE. He is the recipient of the 2013 IEEE ComSoc Best Young Researcher Award for the Europe, Middle East, and Africa Region, and is co-author of a paper that won a “student paper award” at the 2012 International Symposium on Information Theory, and of a paper that won the 2013 IEEE Sweden VT-COM-IT joint chapter best student conference paper award. He served as TPC member in several IEEE conferences. In 2015, he joined the editorial board of the IEEE Transactions on Communications as associate editor. From 2011 to 2014, he served as publications editor for the IEEE Transactions on Information Theory. His research interests are in the areas of communication and information theory.
Dr. Durisi is a contributor and a maintainer of SPECTRE—short packet communication toolbox, a collection of numerical routines for finite-blocklength analyses in information theory (http://tinyurl.com/cth-spectre).