Keynote Speakers

Abstract: Networks with in-block memory (iBM) are a class of models that capture effects such as block fading, delay, and feedback. We review information theory for such networks. Particular attention will be paid to Gaussian models and relaying. Several capacity results for wireless relay models are derived, e.g., quantize-forward network coding is shown to achieve rates within a bounded gap of capacity for additive Gaussian noise channels and a multicast session.

Gerhard Kramer is Alexander von Humboldt Professor and Head of the Institute for Communications Engineering at the Technische Universität München (TUM). He received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Manitoba, Winnipeg, MB, Canada in 1991 and 1992, respectively, and the Dr. sc. techn. (Doktor der technischen Wissenschaften) degree from the ETH Zürich, Switzerland, in 1998. From 1998 to 2000, he was with Endora Tech AG, Basel, Switzerland, as a communications engineering consultant. From 2000 to 2008 he was with the Math Center, Bell Labs, Alcatel-Lucent, Murray Hill, NJ, as a Member of Technical Staff. He joined the University of Southern California (USC), Los Angeles, CA, as a Professor of Electrical Engineering in 2009. He joined TUM in 2010.

Awards and Recognition

Thomas Alva Edison Patent Award, 2012

Vodafone Innovations Prize, 2011

Alexander von Humboldt Professorship, 2010

IEEE Fellow, 2010

IEEE Communications Society Stephen O. Rice Prize Paper Award, 2005

Bell Labs President's Gold Award, 2003

ETH Medal, 1999

Service Highlights

President, IEEE Information Theory Society, 2013

Board of Governors, IEEE Information Theory Society, 2009

Founding Co-chair, 1st-3rd Annual Schools of Information Theory, 2008-2010