Flexible and Efficient Spectrum Usage Preeminent Team

Event Date: August 15, 2019
Hosted By: ECE CNSIP
Time: 11:00 am
Location: MSEE 239
Priority: No
School or Program: Electrical and Computer Engineering
College Calendar: Show

Siriam Sundararajan
Wireless Systems Engineer
Google

Abstract
The answer is not 5G!  The main theme of this talk is to pose this question and discuss possible answers, exchanging views between what we see in industry and your insights in academia.  We'll start by reviewing where we are and how we got here: Communications and computation have seen an exponential growth over the past several decades resulting in near ubiquitous connectivity at relatively high bandwidths and low latencies, and computation available at our fingertips unimaginable even a few years ago.  This has largely been fueled by Moore's law; now that the famous law has mostly played out, and communications technologies have nearly closed the gap to Shannon, what's left to be done? Where’s the next innovation to be had? Is it ambient and/or wearable computing? Disintegration of the smartphone into distributed, wearable, components?  Human-in-the-loop with the entire stack from display to network optimized and customized to the habits of the user via Machine Learning? In summary: What’s next??The answer is not 5G!  The main theme of this talk is to pose this question and discuss possible answers, exchanging views between what we see in industry and your insights in academia.  We'll start by reviewing where we are and how we got here: Communications and computation have seen an exponential growth over the past several decades resulting in near ubiquitous connectivity at relatively high bandwidths and low latencies, and computation available at our fingertips unimaginable even a few years ago.  This has largely been fueled by Moore's law; now that the famous law has mostly played out, and communications technologies have nearly closed the gap to Shannon, what's left to be done? Where’s the next innovation to be had? Is it ambient and/or wearable computing? Disintegration of the smartphone into distributed, wearable, components?  Human-in-the-loop with the entire stack from display to network optimized and customized to the habits of the user via Machine Learning? In summary: What’s next??

Bio
Sriram Sundararajan is currently at Google, working on wireless connectivity for Android/Pixel phones.  Previously he was with Project Loon at Google X, working on backhaul mmWave links between stratospheric balloons, which was fun.  Prior to Google Sriram worked in the semiconductor industry, designing cellular base station DSPs at Texas Instruments and low power wireless connectivity SOCs at Broadcom, and was the modem design lead at a Silicon Valley wireless chip startup.  He has made original contributions to the 3GPP WCDMA standard. He holds a Bachelor's (EE) from the Indian Institute of Technology, Kanpur, and a Ph. D. (EECS) from the University of California at Berkeley.

Host
Professor David J. Love, djlove@purdue.edu, 49-66797

 

 

 

2019-08-15 12:00:00 2019-08-15 13:00:00 America/New_York Flexible and Efficient Spectrum Usage Preeminent Team MSEE 239