degree is awarded in recognition of the recipient's qualifications as a general economist and of the ability to make scholarly contributions in fields of specialization. Below is an overview of the program requirements by year and other pertinent information.
Honorable Mentions for the 2018 ACM Doctoral Dissertation Award go to Ryan Beckett and Tengyu Ma, who both received Ph D degrees in Computer Science from Princeton University.
Ryan Beckett developed new, general and efficient algorithms for creating and validating network control plane configurations in his dissertation, “Network Control Plane Synthesis and Verification.” Computer networks connect key components of the world’s critical infrastructure.
Meta-learning algorithms “learn to learn” by using past data to learn how to adapt quickly to new tasks.
However, much of the initial work in meta-learning focused on designing increasingly complex neural network architectures.
New York, NY, May 15, 2019 – ACM, the Association for Computing Machinery, today announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.
Deep learning has transformed the artificial intelligence field and has led to significant advances in areas including speech recognition, computer vision and robotics.At a young age, Finn has become one of the most recognized experts in the field of robotic learning.She has developed some of the most effective methods to teach robots skills to control and manipulate objects.In the first half of his thesis, Beckett shows that it is unnecessary to simulate the distributed algorithms that traditional routers implement—a process that is simply too costly—and that instead, one can directly verify the stable states to which such algorithms will eventually converge.In the second half of his thesis, he shows how to generate correct configurations from surprisingly compact high-level specifications.When such networks are misconfigured, several systems people rely on are interrupted—airplanes are grounded, banks go offline, etc.Beckett’s dissertation describes new principles, algorithms and tools for substantially improving the reliability of modern networks.Welcome to the Department of Electrical Engineering and Computer Sciences at UC Berkeley.Our top-ranked programs attract stellar students and professors from around the world, who pioneer the frontiers of information science and technology with broad impact on society. With over 20 years of experience working in higher education as an advisor and administrator, I enjoy working with students as they pursue their academic and career goals. program at Berkeley is designed for students interested in pursuing advanced study and conducting original research in Economics. Now as the director, I oversee and lead a group of advising professionals for both the undergraduate and graduate programs.