Presented By Dr Yana Shkel, Electrical Engineering

Channel Coding with Unequal Message Protection

Information theory is a branch of applied mathematics which studies fundamental laws of data transmission and compression. The field was started by Claude Shannon in his celebrated 1948 paper, *``A mathematical Theory of Communication''* a work which is widely regarded as a marker of the beginning of digital revolution. In this talk we survey the key information theoretic results with focus on data compression, transmission, and the ``separation principle''. To place our own work in context, we explore implications of channel coding with unequal message protection on the separation principle and design of error correcting codes.

Bio

Yana Shkel is a Postdoctoral Researcher in the department of Electrical Engineering at Princeton University. She received PhD and MS degrees in Electrical and Computer Engineering from University of Wisconsin - Madison in August 2014 and December 2010, respectively. She received a BS in Mathematics and a BS in Computer Science from University of Wisconsin - Madison in May 2005. Yana has spent time as a visiting graduate student at University of Toronto and as an intern with the Computational Intelligence group at 3M Corporate Research (St. Paul, MN). Prior to starting graduate school she worked as a database developer at Morningstar Inc. (Chicago, IL).

Dialogue & Discussion