Congratulations to fourth-year Ph.D. student Sharon Levy, who has been selected to receive an Amazon Fellowship in Natural Language Processing.
Four professors in UC Santa Barbara’s College of Engineering have been recognized by their peers as the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization, announced its major awards and recognitions for 2022.
A new collaboration between UC Santa Barbara researchers and Cisco Systems aims to push the boundaries of quantum technologies.
Two UC Santa Barbara scientists, Sujaya Maiyya and Shaimaa Azzam, are among the roughly 150 women nationwide who have been invited to the prestigious Rising Stars Workshop.
The Computer Science Department is pleased to announce that Shiyu Chang is joining UCSB as an Assistant Professor. His research centers on machine learning and its applications in natural language processing and computer vision.
Join us in welcoming Professor Eric Vigoda to the UCSB Computer Science Department! His main research interests include Markov chain Monte Carlo (MCMC) methods, Randomized algorithms, Phase transitions in Statistical Physics, and Markov chains in Evolutionary Biology.
A paper titled “Teaching testing with modern technology stacks in undergraduate software engineering courses” by Scott Chow, Tanay Komarlu and Prof. Phillip Conrad was awarded Honorable Mention for Best Paper at ITiCSE’21, the 26th Annual Conference on Innovation and Technology in Computer Science Education.
The Computer Science Department would like to officially welcome Lei Li to UCSB! He will be an Assistant Professor in the CS Department.
A paper titled “Optimal Dynamic Regret in Exp-Concave Online Learning” written by Assistant Professor Yu-Xiang Wang and PhD candidate Dheeraj Baby was selected as one of two best student papers at COLT 2021. The Conference on Learning Theory is widely regarded as the top conference for machine learning theory.
In the paper, the researchers show that the natural relationship between modern decision tree algorithms, new advances in race logic, and the underlying sensors themselves provides new opportunities for extremely efficient classification.
Prof. Xifeng Yan & Assistant Prof. William Wang are leading the UC Santa Barbara team that was selected to participate in the Alexa Prize TaskBot Challenge. Only ten teams out of 125 applicant teams were selected to compete in this unique artificial intelligence competition.
George Tzimpragos, a fifth year Ph.D. Candidate in the Department of Computer Science at UC Santa Barbara, co-authored an article titled “Temporal Computing With Superconductors” which was featured in the “Top Picks From the 2020 Computer Architecture Conferences” edition of IEEE Journals & Magazine.