On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, we are delighted to forward the invitation and welcome you to an ACCESS Distinguished Lecture Series event by Prof. Geoffrey Li, Georgia Institute of Technology, USA.
Time: Thu April 11, 2019, at 15:00
Location: Lecture room V35, floor 5, Teknikringen 76, (Väg och vatten),
KTH main campus, 114 28 Stockholm, Sweden. (Link to map)
Local host site: https://www.kth.se/en/aktuellt/kalender/forelasningar-seminarier/access-distinguished-lecture-series-1.892868
Title: The Deep Learning in Physical Layer Communications
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of communication systems. In this talk, we introduce our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures.
For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems. At the end of the talk, we provide some potential research topics in the area.
For any further questions, please go to the local host site to find contact information.
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications.
In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 35,000 times and Thomson Reuters almost every year since 2001 have listed him as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher. He has been an IEEE Fellow since 2006.