Eecs dissertation berkeley

His research focuses on designing and building next generation high capacity wireless networks using techniques from information and coding theory. I arrived at MIT infresh off a boat as one would say, from India. But MIT blew me away with its intensity; the energy level of the place and the enthusiasm of the people there to engage intellectually were amazing. The first few months of fall were perhaps the most intellectually intimidating—as well as rewarding time I have ever experienced.

Eecs dissertation berkeley

LG] Adaptively modify the landmark points via online kmeans for kernel approximation and adjust the model accordingly via solving least square problem.

LG] Introduced two time-dependent event representations and two time-based regularization methods for RNN concerning continuous time.

Eecs dissertation berkeley

Conditionally accepted to CHI Presents a deep neural net to model and predict human performance in performing a sequence of UI tasks. Ken Pfeuffer, Yang Li. Devised a predictive model for human performance on 2D grids using both analytical and machine learning methods.

A variant of the marking menu allowing a constant and stationary space use. Generates video illustration of UI behavior for code snippet from execution. Low-overhead collection of performance data for mobile app designs using crowdsourcing. Harvesting a dataset for advancing data-driven design of mobile apps from over 9.

Compose cross-device input by examples based on DOF of target interaction behavior. Recognize motion gestures by combining offline learned representation and templated-based online learing.

Ramik Sadana, Yang Li. Enables prototyping and testing multi-touch interactions based on video recordings of target application behaviors, without any programming.

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Investigates techniques for using audio characteristics to provide feedback on the system interpretation of user motion gesture input. Provides a set of high-level APIs, based on JavaScript, and integrated tool support for developers to easily distribute UI output and combine user input and sensing events across devices for cross-device interaction.

Contributes a system that overrides the mobile platform kernel behavior to enable touchscreen gesture shortcuts in standby mode. A user can issue a gesture on the touchscreen before the screen is even turned on.

Integrated tool and inference support that allows developers to easily create touch behaviors in their apps. An on-device infrastructure that provides event prediction as a service to mobile applications.Broadband mm-Wave Transceivers for Sensing and Communication Andrew Townley [] Flexible Integrated Architectures for Frequency Division Duplex Communication.

Prior to joining the EECS faculty in he was a professor at MIT. () Berkeley. Her dissertation work in conjunction with the Laboratory for Manufacturing and Sustainability focused on the roles of product design, remanufacturing, and reverse logistics in enabling sustainable supply chain decisions.

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This page lists notable alumni and students of the University of California, caninariojana.com who also served as faculty are listed in bold font, with degree and year..

Notable faculty members are in the article List of UC Berkeley faculty. Networking, Communications, and DSP Seminar UC Berkeley and Center for Science of Information.

Cory, PM Mon, Nov. 2: Super-Resolution of Positive Sources Veniamin Morgenshtern. Dept.

Associate Professor of Statistics, University of California, Berkeley.

of EECS, UC Berkeley. Soda, 11AMPM *This is the speaker's dissertation talk. Undergraduate Programs. A Donald Bren School of ICS undergraduate education is a blend of scholarship, science, technology, and practical application that forms an excellent foundation for professional life.

Sachin Katti, MIT PhD ‘09 | MIT EECS