Hunter Laux is a student in the UCSB Department of Computer Science's BS/MS program. He will receive his BS at the end of Fall 2014 and plans to complete his MS by the end of Fall 2015. Originally from Los Gatos, CA, Hunter graduated high school in 2004 before going to work at WISchip and later Broadcom Corporation. He then decided to attend De Anza Community College before transferring to UCSB in the Fall of 2012. We asked him a few questions about his UCSB experience.
Heather Zheng, a UC Santa Barbara Computer Science professor, has been named an Institute of Electrical and Electronics Engineers (IEEE) Fellow. IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation.
Read more about Professor Zheng’s IEEE Fellowship here.
March 24, 2015
By Rich Kildare
UC Santa Barbara Computer Science Professor Tim Sherwood has been named an ACM Distinguished Scientist. ACM (Association for Computing Machinery) is the world’s largest educational and scientific computing society, delivering resources that advance computing as a science and a profession.
Tim Robinson explains how the NSF IGERT program funds Network Science and Big Data research for Computer Science grad students.
Learn about Linda Petzold, one of Computer Science's most distinguished faculty members as she shares her views on various professional and personal topics.
Budak is an alumnus of the UCSB Computer Science department who graduated with a PhD in 2012. She is currently a postdoctoral researcher at Microsoft Research New York where she studies computational social science, a field in the intersection of social sciences, computer science, and statistics. We asked her a few questions about her UCSB experience and beyond.
Computer Science Professor Chandra Krintz recently gave a TEDx talk entitled Transforming us into a society of food producers. In her talk, which can be found here, she discusses how the same data analysis and prediction techniques used by tech companies such as Amazon and Google for targeted advertisement and marketing could be used to make farmers and ranchers more productive.