Our graduate program offers a Master of Science and a PhD in Computer Science. The research interests of our students, and faculty, span a broad cross-section of computer science ranging from bioinformatics, cloud computing, computer architecture, computational science and engineering, database and information systems, foundations and algorithms, intelligent and interactive systems, networks and wireless networks, operating systems and distributed systems, programming languages, quantum computing, software engineering and security. We continue to attract top-quality students from all over the world.
Graduate Spotlight
The Institute for Energy Efficiency announced this year’s Peter J. Frenkel Foundation fellows. This award is made possible through the generous support of The Peter J. Frenkel Foundation and is granted to two advanced doctoral candidates in recognition of their outstanding research contributions to the field of energy efficiency.
Memory systems are often the largest dollar cost as well as the largest consumer of energy in the datacenter. Moreover, many of the problems we see in the memory system are cross-disciplinary in nature and their solution would likely require work at all levels, from applications to circuits. In their recent award winning paper in MEMSYS, recent UCSB Computer Science graduates Heba Saadeldeen and Zhaoxia (Summer) Deng, along with Professor Tim Sherwood and Univ.
Graduating PhD student Kevin Deweese and advisor John Gilbert received the Best Paper Award from the 2018 SIAM Workshop on Combinatorial Scientific Computing for their paper "Evolving Difficult Graphs for Laplacian Solvers," which Kevin presented at the workshop in Bergen, Norway on June 6.
Kevin has accepted a postdoctoral position at the University of Washington. Congratulations, Kevin!
IBM created the Ph.D. Fellowship program in the 1950's to recognize and support outstanding graduate students. The IBM PhD Fellowship Awards Program is an intensely competitive worldwide program, which honors exceptional Ph.D. students who have an interest in solving problems that are important to IBM and fundamental to innovation in many academic disciplines and areas of study.
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