Engineer Air Force

Professional Summary

James LaRue is a Senior Signal Engineer with over 20 years experience in real-time signal analysis and optimization spanning the analog, digital, and bit-level domains with attention to life-cycle analysis within the RDT&E and implementation loop. He has in-depth research experience in signal anomaly exploitation, matrix based multichannel analysis, associative memory derived neural networks, base-band and bit-level digital communications in the group theoretic domain. His expertise lies in working with software and hardware systems in need of repair and optimization.

* Multipath and Co-channel Interference

* Algorithm Execution Optimization

* Analysis of Special Sequences

* Real Time Software Development

* ISO 9001:2008 Quality Management System

* System Test and Evaluation to Component Level

Security Clearance

Top Secret, SCI

Education

Ph.D., Engineering and Applied Science, University of New Orleans, 2003, Bill J Good Physics Award

M.A., Mathematics, Tulane University, 1995

B.A., B.Ed., SUNY Potsdam, 1992, Summa Cum Laude

A.A.S, Instrumentation Electronics, Monroe Community College, 1979

Professional Experience

James LaRue dba Jadco Signals October 2011 – September 2013

Signal Engineer

Currently available for assignment

Lead investigator for Air Force Office of Scientific Research Computer Vision program to design a feed- forward/feed-back associative memory matrix system, modeled after the ventral pathways, to augment a feed-forward only neural network. Algorithm development using (MIT/CBCL) HMAX code and (LeCun et. al.) convolutional neural network code. Results published May 2013 by SPIE 2013. Patent Pending application submitted July 2013 for bidirectional neural network technique to compress multiple layer hierarchy into single layer to produce efficient training and execution processing.

Develop briefings, status reports, formal guidelines, and implementation plans for relevant follow-on projects in the area of Intelligence, Surveillance, and Reconnaissance (ISR) data gathering for the Air Force Research Laboratory Information Directorate.

One of six teams to participate in DARPA Innovation House. Team collaboration applying the principle of Associative Memory to Mind’s Eye Video clips for purpose of real time video tracking and identification in ‘Big Data’ setting.

Research for white paper development with Wave Sciences Corporation, Charleston, SC and the Applied Research Laboratory of Penn State University. Analysis of bandwidth efficiency for Legendre and maximal length linear recursive (MLRS) sequences applied to photoacoustic imaging. Research study for voxel based morphometry analysis of brain MRI in context of autism. Algorithm development of Cepstral based EEG tracking.

(MATLAB; Image Processing and Communications Toolbox & Simulink, C++)

Scientific Research Corporation, Charleston SC August 2008 – September 2011

Senior Scientist

Lead for alternative communication study for real-time modeling and simulation project for channel model parameterization for integration of range dependent propagation HF path loss calculations with network simulation software. Combined Qualnet network traffic tool and Navy’s Advanced Refractive Effects Prediction System (AREPS) to assess digital communication bandwidth requirements for beyond line of sight (BLOS) ocean based sensor array.

Integrated Cepstral based signal exploitation technique into real-time RF RADAR time difference of arrival (TDOA) demonstration. Developed real-time audio/visual tool for high-level assessment of streaming network traffic.

(EMACS, Python, Qualnet, AREPS Matlab Data Acquisition Toolbox, Wireshark)

CACI, Rome, NY October 2004 – August 2008

Senior Scientist

Lead or participant on various signal exploitation projects for Air Force Research Laboratory Information Directorate. Developed algorithms to augment Army Research Lab (RDECOM) SOMBRERO signal exploitation suite. Evaluated Tsallis entropy as information measurement alternative to Shannon entropy. Testing of digital communications schemes included PSK, FSK, QAM, CDMA, and OFDM. Conducted research into mitigating peak to average power ratio (PAPR). Extended multichannel Toeplitz matrix structure into nullspace to estimate multipath vector. Constructed cascaded algorithm to mitigate co-occurrence of co-channel and multipath corrupted signals. Developed with Naval Research Laboratory a technique for blind deconvolution of RF modulated error detection and correction (EDAC) codes.

(Matlab, Octave, R)

The National Academies, Washington, DC December 2003 – October 2004

Post-Doctorate

Projects included post-analysis of RF collection over various environments, FM Click-detection, and money laundering schemes.

Naval Research Laboratory, Stennis, MS September 2000 – December 2003

Graduate Student

Underwater acoustics and submarine detection in shallow water, live underwater biological communications analysis

Technical Skills

Mathematical Applications: Matlab (10 years)

Platforms: Windows

Languages: C++ (two years)

Development Tools: EMACS (one year)

Other: Foundation in group theoretic binary sequence analysis, RF Antenna test and calibration.

Publications

James P. LaRue (Jadco Signals) and Yuriy Luzanov (AFRL-RIGC), “Stabilizing bidirectional associative memory with principles in independent component analysis and null space”, SPIE Defense, Security, and Sensing, 29 April - 3 May 2013, Baltimore, Maryland.

James LaRue and Bill Copeland, ‘Computer Vision Tasks: Robust discrimination of objects in clutter enabled by a novel computational model to emulate human recognition’, DARPA Innovation House, Washington, D.C., November 9, 2012.

Robert Barsanti and James LaRue, ‘Peak to Average Power Ratio Reduction for Digital Video Broadcast T2’, IEEE Southeast Conference 2011, Nashville, TN.

James LaRue, ‘Co-Operative and Pro-active Sensors’, ITEA Annual Technology Review Conference, Charleston, SC, July, 2010.

Rick Tutwiler, Matthew S. Baran, and James LaRue, ‘Blind Source Separation for Digital Modulation Schemes’, Report to AFRL Information Directorate, 2008.

Adam Bojanczyk and James LaRue, ‘Singular Value Decomposition Analysis for Two Channel Signal Separation’, Report to AFRL Information Directorate, 2007.

Atindra Mitra, Lt. Sean Majo, James LaRue, Sean Young, L. Willemson, K. Sickles, ‘Distributed Architectures for Target Detection and Tracking’, MSS RADAR Symposium, May 2007.

James Larue, Edmond Rusjan, Alfredo Vega, Adam Bojanczyk, ‘Multipath Detection and Characterization’, Passive Covert Radar Conference, October 2006, Syracuse, New York.

James LaRue and Andrew Noga, ‘FM Click Detection and Repair, Stage Two’, Signal Processing, Sensor Fusion, and Target Recognition XIV conference, Orlando, Florida. March 30, 2005.

A.K. Mitra, T. Lewis, James LaRue, A. Shaw, ‘Ultra-wideband Radar Target Detection for Sloped and Diffuse Scattering Environments Technical’, technical report submitted to Wright-Patterson AFB, April, 2004.

Using Acoustic Buoys to Assess Ambient Noise and Sperm Whale Vocalizations, Joal Newcomb, Robert Fisher, Robert Field, George Ioup, Juliette Ioup, James Larue, Grayson Rayborn, Stan Kuczaj, Jerald Caruthers, Ralph Goodman, Chris Walker, Robin Paulos, Joana Ramos, Rachel Thames, Servey Vinogradov, Natalia Sidorovskaia, Ilya Udovydchenkov, Irina Rypina, and Mark Snyder, presented at the Information Transfer Meeting of the Minerals Management Service, 14-16 Jan 2003, published in the Proceedings, 269-276 and 578-588 (invited) (2004).

George E. Ioup, Juliette W. Ioup, James P. Larue, Natalia A. Sidorovskaia, Stan A. Kuczaj, Grayson H. Rayborn, and Christopher D. Walker, ‘Spectrogram analysis of low to mid frequency marine mammal clicks’, J. Acoust. Soc. Am. Volume 115, Issue 5, pp. 2556-2556, 2004.

Patents

U.S. PROVISIONAL PATENT APPLICATION, EFS ID 16351917 App No. 61847685 Confir No. 4039

Receipt Date 18-Jul-2013 13:41:35 Title: J. Patrick’s Ladder A Machine Learning Enhancement Tool :an Architecture for Combining Convolutional Neural Networks and Association Memory Matrices to Reduce Machine Learning Training, to Reduce Machine Execution Time, and to Produce Machine Intra-layer Connections

Additional Training

Two years VSWR RF Antenna and Coax test and repair for US NAVY Ships as a civilian.

315-***-**** *****@************.*** www.JPatricksLadder.com www.JadcoSignals.com

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