University of Maryland
Joint Space-Sciences Institute Fellow
Uc Berkeley Aug 2009 - May 2016
Graduate Student Researcher
Lawrence Berkeley National Laboratory Aug 2009 - May 2016
Postdoctoral Research Staff Member
Education:
University of California, Berkeley 2009 - 2014
Yale University 2005 - 2009
Bachelors, Bachelor of Science, Physics
University of California
Skills:
Programming Teaching Python C++ Mathematica Radiative Transfer Latex Monte Carlo Simulation Scientific Computing High Performance Computing Parallel Computing Computational Physics Mathematical Modeling Scientfic Writing Technical Writing Problem Solving Public Speaking Physics Research Matlab Data Analysis Fortran Science
- Redmond WA, US Nathaniel Gunther ROTH - San Francisco CA, US Qian LIU - Redwood City CA, US Pnina ELIYAHU - Walnut Creek CA, US Syed Farhan RAZA - Fremont CA, US Timothy Edward BELLAY - Oakland CA, US Rahul Anantha Padmanabha UDIPI - Cupertino CA, US
International Classification:
G06N 3/02 G07C 3/02
Abstract:
A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.