News Archive

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”.
August 24, 2020
UCSB’s Assistant Professor Yu Feng received the ACM Special Interest Group On Software Engineering (SIGSOFT) Distinguished Paper Award at the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE'20).
August 24, 2020
UCSB Alumni Antonio Bianchi and his team at Purdue University have receives a grant from DARPA to aid a project called “Assured Micropatching.”
July 27, 2020
Saiph Savage, a UCSB Alumna, has been named as one of the 2020 keynote speakers at The Neural Information Processing Systems Foundation’s (NeurIPS) annual conference.
July 15, 2020

CS Ph.D students, Vaishali Surianarayanan & Peter Gartland, have papers accepted to FOCS2020, one of the two premier conferences in theory of computer science. 

July 9, 2020

The UCSB team, led by computer science professors Arpit Gupta, Elizabeth Belding, and Yu-Xiang Wang, will be developing a wireless network management system that leverages reinforcement learning to optimize the quality of experience (QoE) for end-users.

July 1, 2020

Professor William Wang appointed as Mellichamp Chair in Artificial Intelligence & Designs. 

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