Resume

• 1989

  Southwest Research Institute

  Oklahoma State University

  Foxtail Communications

  Texas A&M Commerce

  Raytheon

  US Air Force

  Home

  Senior Research Engineer

  San Antonio

  Texas Area

  Southwest Research Institute

  Plano

  Texas

  I ran a consulting business primarily supporting a major customer at the Johnsons Controls Headquarters office in Milwaukee. For Johnson Controls

  my duties were to support their Information Systems Technology staff in completing their daily activities of interconnecting and maintaining communication to the many plants and installations that were distributed nationally and world wide.

  Business Owner

  Foxtail Communications

  Greenville Tx

  Upon employment

  I was added to a project to be the Datalink IPT lead for a surveillance aircraft project called Peace Pioneer. It was a project for the military of the country of South Korea. I was later transferred to be the Lead Systems Engineer on another surveillance aircraft project called SIVAM

  which stands for Surveillance of the Amazon. This project was for the country of Brazil. I was on the team that won a command and control aircraft project with the United Kingdom called ASTOR. ASTOR was a standoff radar system which relayed data and information to combat aircraft and combat ground stations. I was the Data Link Integrated Product Team Lead (IPT) for ASTOR which had two datalink systems to the ground and support aircraft.

  Senior Prinipal Systems Engineer

  Raytheon

  Moore

  Oklahoma

  I provided online college instruction in Computer Architecture to graduate Computer Science students from my office in Oklahoma

  Adjunct Staff

  Texas A&M Commerce

  Dallas

  Texas

  IT Network

  US Air Force

  World Wide Responsibilities

  Communications Officer

  Computer Systems Officer

  Information Systems Officer

  LT. Colonel (Retired)

  Moore

  Oklahoma

  Home

  L-3 Communications Integrated Systems

  Greeenville

  Texas

  I was the Data Link IPT lead on the L-3 Communications ASTOR surveillance aircraft project for United Kingdom. The ASTOR project was an Airborne Standoff Radar system that had two datalinks to communicate the collected radar data o ground the ASTOR ground stations and other support aircraft. I was later assigned to be the ASTOR ground station test acceptance authority after the datalink work was completed. My last position was involved with L-3 Communications Research and Development activity primarily supporting the development of a receiver and maintaining a cluster processor for HPC solutions including supporting aircraft modifications using a computation fluid dynamics program to predict airflow for external aircraft modifications.

  Senior Principal Systems Engineer

  Stillwater

  Oklahoma

  As a full time Assistant Professor I had teaching responsibilities for the Electrical Engineering Technology (EET) group in the Oklahoma State University College of Engineering

  Architecture and Technolgy (CEAT). I was the instructor and director of the two semester senior Capstone Program for the EET degree. I also had responsibility for the undergraduate courses on Digital Design and Modern Telecommunications. I supported committees on the accreditation review of the EET program

  development of graduate level programs in the Technology division and counseling of students in the EET program. \n\nI collaborate with research and teaching responsibilities associated with the OSU Electrical and Computer Engineering Department as an Adjunct Faculty member. I am assigned in this role in support of the Computer Engineering degree offering. My support to the ECEN department is connected to my OSU research responsibilities and my support of the electrical engineering graduate students.

  Assistant Professor

  Oklahoma State University

• 1987

  Ph.D.

  Electrical Engineering

• 1980

  MSEE

  Electrical Engineering

• 1971

  MSEE/BSEE

  Electrical Engineering

• 1964

  BA

  Math

• 949

  A system for a conjugate gradient iterative linear solver that calculates the solution to a matrix equation comprises a plurality of gamma processing elements

  a plurality of direction vector processing elements

  a plurality of x-vector processing elements

  an alpha processing element

  and a beta processing element. The gamma processing elements may receive an A-matrix and a direction vector

  and may calculate a q-vector and a gamma scalar. The direction vector processing elements may receive a beta scalar and a residual vector

  and may calculate the direction vector. The x-vector processing elements may receive an alpha scalar

  the direction vector

  and the q-vector

  and may calculate an x-vector and the residual vector. The alpha processing element may receive the gamma scalar and a delta scalar

  and may calculate the alpha scalar. The beta processing element may receive the residual vector

  and may calculate the delta scalar and the beta scalar.

  System for conjugate gradient linear iterative solvers

  et al.

• 720

  A method for using a system to compute a solution to a partial differential equation (PDE) broadly comprises the steps of determining the true accuracy required (TAR) to solve the PDE

  determining an architecture according to the TAR that performs a plurality of calculations to solve the PDE

  determining a time allowed (TA) and a time required (TR) based on the architecture to solve the PDE

  rejecting the PDE if the TR is less than or equal to the TA

  configuring a plurality of programmable devices with the architecture

  initiating the calculations

  and ceasing the calculations when an accuracy criteria is met or when the TA expires. The system broadly comprises a plurality of programmable devices

  a plurality of storage elements

  a device bus

  a plurality of printed circuit (PC) boards

  and a board to board bus.

  Reconfigurable networked processing elements partial differential equations system

  et al.

• 130

  Systems and methods for interference cancellation in which a first signal having a first frequency may be cancelled with a second frequency having a second and different (e.g.

  lower) frequency by employing sampling to cancel the first signal with the separate signal at the sample instances. \n

  Systems and methods for interference cancellation

  et al.

  Senior Member of IEEE

  IEEE

• 090

  A system for solving linear equations comprises a first circuit including a first multiplication module for multiplying a first row of a matrix by a first instance of a vector variable to generate a first product

  and a first linear solver module for calculating an updated first element of the vector variable using the first product. A second circuit includes a second multiplication module for multiplying a second row of the matrix by a second instance of the vector variable to generate a second product

  and a second linear solver module for calculating an updated second element of the vector variable using the second product. An interface module updates the second instance of the vector variable with the first updated element

  and updates the first instance of the vector variable with the second updated element.

  Tiled architecture for stationary-method iterative linear solvers

  et al.

• 054

  Problem solution speed may be increased by dynamically changing processing device computational hardware configuration in concert with respective mathematical phases of an algorithm to match accuracy demands at various phases of computation. Smaller but faster hardware structures may be increased in size using real-time partial or full reconfiguration of a processing device to apply the smallest and fastest possible computational structure for the needed accuracy during each of multiple computational phases.

  Multi-phased computational reconfiguration

  et al.

• 050

  RF sampling receivers are disclosed that employ multiple sampling clocks to produce multiple projections. In operation

  a Nyquist folded receiver (NYFR) may be implemented that utilizes at least one modulated sampling clock in combination with one or more other modulated or non-modulated sampling clocks to identify received signals. In such an embodiment

  one or more clock modulations may be used to induce frequency modulations that are Nyquist zone dependent

  and multiple Nyquist zones may be aliased together while still allowing for signals from different Nyquist zones to be separated and identified.

  Multiple projection sampling for RF sampling receivers

  et al.

• Integration

  Electrical Engineering

  Parallel Processing

  Systems Engineering

  Software Engineering

  Aerospace

  Simulations

  Digital Signal Processors

  Signal Processing

  Matlab

  Engineering Management

  Embedded Software

  Embedded Systems

  Testing

  System Architecture

  Sensors

  Earned Value Management

  System Design

  Systems Design

  Requirements Management

  Kusmanoff

  Antone

  Kusmanoff

  L-3 Communications Integrated Systems

  IT Network