1125 Nottingham St, Lafayette, CO 80026 • 720-890-1252
Boulder, CO
Rochester, NY
Bradenville, PA
Work
Company:
Raytheon company
Jun 2013
Position:
Senior software engineer i
Education
School / High School:
University of Colorado- Boulder, CO
1998
Specialities:
Doctor of Philosophy in Physics
Skills
Ability to detail the components of a new • unsolved problem • research the appropriate literature and/... • and define a work effort to ultimately s... • signal processing • and simulation Over 15 years program... • Perl • MATLAB • C/C++ • and FORTRAN. Programming of client s... • CSS • JavaScript • JQuery • XML • and XSLT. Multiprocessor programming... • heterogeneous Unix and Linux environment... • Interferometric SAR (InSAR) • and Polarimetric SAR (PolSAR) Profic... • Multiple Output (MIMO) Radar. Skille... • subsidence • imaging • topography • and classification. Proficient in de... • engineering • and mathematical software packages.
Wolfgang Kober - Aurora CO, US Robert Kent Krumvieda - Westminster CO, US Lewis Reynolds - Denver CO, US Steven Alan Kadlec - Lafayette CO, US
Assignee:
Data Fusion Corporation - Northglenn CO
International Classification:
H04B 1/00 G01S 13/00
US Classification:
375148, 342194
Abstract:
A method and receiver are disclosed for mitigating or substantially canceling signal interference between signals detected at the receiver. Once a presumed interfering signal(s) is acquired, parameters are determined that allow the interferer(s) to be modeled. The phase invariance of the process eliminates the need to acquire the interferer's phase. An orthogonal projection (for projecting onto a detection subspace which is orthogonal to a subspace spanned by the interferer(s)) is applied to the composite of all signals (y) for thereby projecting y onto the detection subspace. The interference subspace is non-orthogonal to a representation of desired (but interfered) signal of the composite signals. With the receiver properly equipped to perform this projection operation, interfering signals, multipath, multipath-like, and structured jamming signals can be effectively diminished.
Neva Ridge Technologies
Senior Software Engineer
Raytheon Jun 2013 - Apr 2015
Senior Software Engineer I
Neva Ridge Technologies Jan 2008 - Aug 2012
Research Scientist and Software Engineer
Data Fusion Corporation Aug 2004 - Jan 2008
Research Engineer and Software Engineer
National Institute of Standards and Technology Aug 2000 - Jun 2004
Research Assistant and Software Developer
Education:
University of Colorado Boulder 1998 - 2004
Doctorates, Doctor of Philosophy, Physics
Rochester Institute of Technology 1993 - 1998
Bachelors, Bachelor of Science, Physics
Skills:
Physics Algorithms C++ Software Engineering C Simulations Linux Research Problem Solving Mathematical Modeling Radar Image Processing Python Matlab Fortran Statistical Modeling Synthetic Aperture Radar Signal Processing Analytic Thinking Parallel Computing Distributed Systems Unix Sensors Numerical Simulation Scientific Computing Project Management Research Funding Agile Methodologies Technical Leadership High Performance Computing Goal Setting Coordinating Tasks Multiprocessing Windows Mac Os Remote Sensing Detectors Waveforms Monte Carlo Simulation Scientific Writing Condensed Matter Physics Liquid Crystals Object Oriented Software Polarization Interferometry Asterisk R&D Openvpn
Jun 2013 to 2000 Senior Software Engineer INeva Ridge Technologies Boulder, CO Jan 2008 to Aug 2012 Research Scientist and Software EngineerData Fusion Corporation Northglenn, CO Jun 2004 to Jan 2008 Research Engineer and Software DeveloperNational Institute of Standards and Technology (NIST) Boulder, CO Sep 2000 to Mar 2004 Research Assistant at NISTUniversity of Colorado Physics Department
Sep 1998 to Sep 2000 Teacher's AssistantEastman Kodak Co Rochester, NY Dec 1996 to Jul 1998 Software Developer and ResearcherUniversity of Tennessee's Institute for Rare Isotope Measurement
Jun 1997 to Sep 1997 Aerospace ResearcherUniversity of Virginia and CEBAF Newport News, VA Jun 1996 to Aug 1996 Nuclear Physics ResearcherCVC Products Rochester, NY Dec 1995 to Feb 1996 Technician in R&DSUNY at Stony Brook Stony Brook, NY Jun 1995 to Aug 1995 Research Assistant
Education:
University of Colorado Boulder, CO 1998 to 2004 Doctor of Philosophy in PhysicsUniversity of Colorado Boulder, CO 1998 to 2002 Master of Science in PhysicsRochester Institute of Technology Rochester, NY 1993 to 1998 Bachelor of Science in Physics
Skills:
Ability to detail the components of a new, unsolved problem, research the appropriate literature and/or question knowledgeable personnel, and define a work effort to ultimately solve the problem. Ability to define tasks for team members that are within their skill set to achieve project goals. Ability to communicate complex topics and results both verbally and in writing to non-technical customers and potential research funders. Experience in the development of Software Integration Test (SWIT) plans for a complex ground control station and space vehicle controller. Experience in iterative/regression testing of complex ground control station software. Experience with Agile methodologies of iterative software development and unit testing. Ability to design/derive and implement new signal processing algorithms. Experience designing novel waveforms for radar systems. Superb quantitative and analytical abilities. Capable of mathematically modeling complex systems. Scientific programming, signal processing, and simulation Over 15 years programming experience Programming in Python, Perl, MATLAB, C/C++, and FORTRAN. Programming of client side web pages in HTML, CSS, JavaScript, JQuery, XML, and XSLT. Multiprocessor programming in clustered, heterogeneous Unix and Linux environments using MPI libraries. Multithreading in shared memory environments using openMP libraries. Proficient in Synthetic Aperture Radar (SAR), Interferometric SAR (InSAR), and Polarimetric SAR (PolSAR) Proficient in Multiple Input, Multiple Output (MIMO) Radar. Skilled at remote sensing functions including change detection, subsidence, imaging, topography, and classification. Proficient in detection algorithms including change detection via Constant False Alarm Rate (CFAR) detectors and likelihood ratio detectors Deep understanding of height estimation techniques for point cloud generation and subsidence calculations Proficient in maximal likelihood estimators and least squares estimation. Skilled at molecular dynamics and Monte Carlo simulation methods. Well versed in Critical Phenomena including the theory of entropically driven freezing/ordering. Use of many scientific, engineering, and mathematical software packages.