Professor Tao Yang and William Wang selected for Google Faculty Research Awards.

The Google Faculty Research Award is to identify and strengthen long-term collaborative relationships with faculty working on problems that will impact how future generations use technology. It is highly competitive - this round Google AI received 910 proposals covering 40 countries and over 320 universities. After expert reviews and committee discussions, Google AI decided to fund 158 projects. Our CS Department has two recipients of Google Faculty Research Awards this year: Prof. Tao Yang and Prof. William Wang.  Congratulations to them!

For more information about the Google Faculty Research Award, go here. 

News

April 3, 2019

Hosted by UCSB’s Department of Computer Science, the 2019 CS Summit event was held on Wednesday, March 13, 2019 at Corwin Pavilion and the Lagoon Plaza.

September 18, 2018

CS Professor Elizabeth Belding is the Principal Investigator of a recent $2 Million, three year NSF grant titled "PuebloConnect: Expanding Internet Access and Content Relevance in Tribal Communities".  The project is a collaboration with Marisa Duarte (Arizona State), Morgan Vigil-Hayes (Northern Arizona University), Ellen Zegura (Georgia Tech) and Jennifer Nevarez (Community Learning Network).  Prof. Vigil-Hayes is a 2017 Ph.D. graduate of UCSB, who worked in Prof. Belding’s research group.

November 2, 2020

2020 Rising Star, Deeksha Dangwal 

Story by Andrew Masuda, edited by Natalia Diaz Amabilis

For the original story go here.

 

Three UC Santa Barbara scientists are among the one hundred fifty women nationwide

who have been invited to the 2020 Rising Stars in Electrical Engineering and Computer

Science (EECS) Workshop. Esmat Farzana, a postdoctoral researcher in the Materials

September 25, 2020

Congratulations to Vivek Adarsh from the MOMENT lab for winning Best in Class for his project “SARAS: Intelligent Edge Acceleration Using SmartNICs” at the 2020 HPE Virtual Intern Project Fair!

September 7, 2020
Verizon has announced its partnership with the University of California, Santa Barbara, which aims to test the use of AI and machine learning to develop improved security around the flow of information and how it is interpreted and used.
August 25, 2020
Yu-Xiang Wang has received a new NSF Award to support his research in “Optimal and Adaptive Reinforcement Learning with Offline Data and Limited Adaptivity”.