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Bryan L Westcott

from Austin, TX
Age ~43
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Also known as:
Brian Westcott, Ryan Westcott
Phone and address:
6309 Colina Ln, Austin, TX 78759
(214) 522-9884
Related to:
Ashley N Oesch, 30Michael R Mellinger, 49Anna J Prisbylla, 44Kathryn R Prisbylla, 42Jill M Westcott, 41John W PrisbyllaSharon L Prisbylla, 71Ryan Westcott, 43Sally J Westcott, 71Betsy R Oesch, 64Melvin L Westcott, 76
Connected to:
Adam J Westcott, 37Alison S Westcott, 38Andrea K Westcot, 48Andrew R Westcott, 43Anthony M Westcott, 31Carla J Westcott, 60Chart H Westcott, 39Colin C Westcot, 37Danielle R Westcott, 47Duane A Westcott, 60

Bryan Westcott Phones & Addresses

  • 6309 Colina Ln, Austin, TX 78759 (214) 522-9884
  • Dallas, TX
  • Mineral Wells, TX
  • 664 Stafford Cir, Rockwall, TX 75087
  • Fort Worth, TX

Resumes

Resumes

Bryan Westcott Photo 1

Senior Data Science Manager

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Location:
6309 Colina Ln, Austin, TX 78759
Industry:
Defense & Space
Work:
Intific Sep 2017 - Nov 2019
Principal Data Scientist
L-3 Communications Aug 2005 - Sep 2017
Principal Electrical Engineer
Stochastic Strategies Aug 2005 - Sep 2017
Founder
Spark Lab Nov 2004 - Sep 2006
Founding Partner
The University of Texas at Austin Jan 2004 - May 2005
Teaching Assistant
Education:
The University of Texas at Austin 2003 - 2005
Master of Science, Masters, Electrical Engineering The University of Texas at Austin 1999 - 2003
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Signal Processing
Algorithms
Matlab
Electrical Engineering
Linux
Embedded Systems
Digital Signal Processing
Simulations
C++
Embedded Software
Optimization
Sensors
Systems Engineering
Latex
Geolocation
Wireless Communications Systems
System Design
Algorithm Development
Algorithm Design
Linear Algebra
Compressive Sensing
Robust Optimization
Array Processing
Time Frequency Analysis
Mkl
Bayesian Inference
Nonlinear Optimization
Statistical Data Analysis
Data Mining
Statistical Signal Processing
Lapack
Object Oriented Software
Data Science
Technical Writing
Data Clustering
Uwb
Applied Research
Technical Presentations
Electromagnetics
Inverse Problems
Machine Learning
Statistics
R
Python
Sql
Data Fusion
Tensorflow
Apache Spark
Pandas
Cloud Computing
Interests:
Science and Technology
Languages:
French
Certifications:
R Programming
The Data Scientist’s Toolbox
Machine Learning
Johns Hopkins University (Coursera)
Stanford University (Coursera)
Bryan Westcott Photo 2

Bryan Westcott

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Publications

Us Patents

Mobile Communication Device And Communication Method

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US Patent:
8255011, Aug 28, 2012
Filed:
May 1, 2009
Appl. No.:
12/434192
Inventors:
Bryan Lloyd Westcott - Rockwall TX, US
Scott Burkart - Royse City TX, US
Assignee:
L3 Communications Integrated Systems, L.P. - Greenville TX
International Classification:
H04B 1/38
US Classification:
455574, 455458
Abstract:
A mobile communication device includes a processor; a data acquisition device for acquiring data and providing it to the processor; a transceiver for transmitting at least some of the acquired data to an external device; and a low-power clock. The low-power clock counts down a random delay time period and temporarily shifts the processor and the transceiver from low-power sleep modes to active wake modes so that the processor and transceiver can transmit at least some of the acquired data to the external device while in their active wake modes.

Pulse-Level Interleaving For Uwb Systems

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US Patent:
20100278214, Nov 4, 2010
Filed:
May 1, 2009
Appl. No.:
12/387425
Inventors:
Bryan L. Westcott - Rockwall TX, US
Gerald L. Fudge - Rockwall TX, US
Mark A. Chivers - McKinney TX, US
Sujit Ravindran - Dallas TX, US
Scott Burkart - , US
International Classification:
H04B 1/69
US Classification:
375130, 375E01001
Abstract:
Systems and methods are disclosed that provide pulse-level interleaving for multi-pulse-per-bit ultra wideband (UWB) transmit and receive processing techniques to provide significantly improved multi-access for UWB systems and, more particularly, for long range UWB systems. A bit stream is processed such that each bit in a bit stream is represented by a plurality of bits in a bit frame and then transmitted using a plurality of UWB pulses for each bit frame. Where on-off-keying (OOK) modulation is used, each logic “1” is sent out as a plurality of pulses, and each logic “0” is sent out as a plurality of non-pulses. Pulse-level interleaving (PLI) of the pulses across multiple bit frames prior to transmission is provided to allow for improved multi-access (MA) by a plurality of UWB transmitters operating at the same time. Rather than attempt to detect each pulse as it arrives at the receiver, the receiver instead first de-interleaves the pulses and then aggregates the energy from the multiple pulses within each bit frame. The aggregated pulse energy is then processed by a pulse detector to detect a pulse. Where OOK modulation is used, this pulse detection detects the existence of a pulse or the lack of a pulse within the bit frame.

Globally-Convergent Geo-Location Algorithm

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US Patent:
8188919, May 29, 2012
Filed:
Jun 16, 2009
Appl. No.:
12/485409
Inventors:
Michael T. Grabbe - Columbia MD, US
Bryan Lloyd Westcott - Rockwall TX, US
Assignee:
L3 Communications Integrated Systems, L.P. - Greenville TX
International Classification:
G01S 3/02
G01S 1/08
G01S 5/04
US Classification:
342450, 342386, 342442
Abstract:
A system and method for estimating a geolocation of a non-cooperative target using any reasonable target location estimate. Collectors may acquire actual signal measurements including a direction of arrival (DOA), a target range, a time difference of arrival (TDOA), a range rate, a range sum, and/or a frequency difference of arrival (FDOA). A processing device may receive the actual signal measurements and navigational data regarding the collectors. Then, the processing device may calculate an estimated target location as a solution to a nonlinear optimization problem where an objective function to be minimized is a weighted sum-of-squares of differences between the actual signal measurements and calculated values corresponding to signal measurements that theoretically should be produced for a particular target location. The algorithm used to solve this problem may be a globally convergent algorithm, such as a Levenberg-Marquardt algorithm.
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Bryan L Westcott from Austin, TX, age ~43 Get Report