Performs analysis of RF, digital, analog electronic circuit and algorithm architectures for determination of device theory of operations, functionality, and technical characteristics.

Analysis, synthesis, prototype design and custom algorithm development of AI based aerial subsystems on the edge. Developed a multi-hypothesis mission plan rerouting algorithm in C# for minimization of consumptive cost functions and threats in the battle field. Prototype was successfully integrated in a NYX navigation subsystem.

AI/ML architecture and specialized signal processing algorithm development for modernization of mission critical technologies that equip the Warfighter. Developed the core DSP feature set generation in C# NET 7 for the IEP AI/ML team. Developed and enhanced an ensemble of custom Bayesian correlation classifiers used for block characterization and classification of GPS jammer signals in concurrent buffer processing modes.

Low-SNR demodulation R&D for customer and general wide-band signal models. Research in advanced communications theory for enhanced algorithm architecture design and digital signal processing. Proposed a candidate wide-band LPD demodulator architecture for IR&D that was selected November 2021 among the top 5% of novel ideas submitted. IR&D proposals for 2022 have included multi-sensor navigation architecture design.

Mathematics and biomedical phenomenon driven algorithm development for industry critical quantitative sub-systems. Successfully delivered non-contact sensor real-time C# algorithm quantitative solutions for the target company product demo and pending production design.

Exclusively focused on algorithm based projects including Bayesian Neural Net solutions, multi-sensor DSP algorithms, stochastic data forecasting, statistical decision theory, theoretical physics, biometric algorithm prototype development, radar signal processing, RF demodulation algorithms, pattern recognition, image processing, lasers/optics, scheduling algorithms, anomaly detection, security and fraud detection, equity forecasting, AI legal analytics, voice recognition, target detection, multi-hypotheis target tracking, extended and unscented Kalman filtering, mine detection, data mining / scraping, fuzzy logic, finite mathematics, 3D geometric projections, nuclear isotope (gamma ray) identification, IR detection security, synchronization, back propagation regression, and general mathematical solutions.

MATLAB and embedded DSP algorithm development for wireless communication.

Developed and validated RF signal processing radar simulation models with Visual Studio and MATLAB. Developed functional flow diagrams for the algorithm portion of the weather radar product subsystems.

Developed Rhapsody and C++ radar pulse processing radar algorithms for anti-jam subsystems.

Validated baseline Kalman Filter tracking algorithm for customer. Tested and converted MATLAB baseline model to VB.NET. Added and verified enlarged state vector and associated covariance in Visual Studio. Developed DSP enhancements for improved accuracy. Created test plans for end-state validation. Derived the mathematics and redesigned C++ deployment code for a dedicated non-linear EKF tracking application

Developed multi-path mitigation algorithms for “Through Wall” radar signal processing. Tested and debugged ATR anomaly based mine detection algorithms in MATLAB. Developed regression ranking algorithms for identification of explosive materials from IR imaging. Devised fiber filter enhancement algorithms that drastically reduced false-positives. Enhancements enabled mid-year performance customer objectives to be met. Converted baseline image processing code developed in MATLAB code to VB.NET and C++. Designed and implemented enhancements in VB.NET for accelerated parameter optimization. Performed quick deployment code conversion and validation to C++ with firmware engineer.

Technical lead engineer in development of adaptive sensor signal processing techniques. Created and verified DSP based algorithms for RF/radar surveillance systems in VB.NET and later converted the code to C++ for system deployment in Iraq. Applied physics and prior DSP experience to enhancement of X-ray tomography and gamma ray detection systems. Developed and tested a MATLAB field clutter estimation tool. Constructed sonar, IR, optical and acoustic based statistical detection and fusion systems. Directed and communicated algorithms to software engineering. Designed sensor fusion, tracking, and clutter rejection algorithms for processing of disparate data. Wrote and tested a DF algorithm using azimuth from separated mid-range radars. Developed multi-hypothesis maximum likelihood tracking algorithms, modified Kalman state estimators, and Markov based walking algorithms. Performed pre- and post- filter pulse detection simulations to determine lower bounds in coherent and noncoherent detection performance. Verified from field testing clutter performance enhancements using Doppler based DSP processing of raw detection data. Coordinated radar test plans for performance verification. Developed VB.NET GIS multi-sensor coverage applications that generate polygon vertex collections. Developed autocorrelation based voice recognition algorithms used for human authentication detection methods and exploited modalities used in micro-Doppler gait technologies. Wrote white papers and technical proposals for business development. Principal investigator for novel spatial-temporal anomalous detection solutions. Provided company-wide expertise in mathematics and algorithm development. Performed down selection of pulse radar subsystems for port security contract. Procured and configured a LINUX based radar tracking system for shore based radars. Performed field testing of two noncoherent radars and developed a spatial clutter rejection algorithm.

Independently designed robust algorithms and software used for real-time identification of sensitive nuclear material, diagnostic radiation sources and other radioactive isotopes. Method used an integrated cross-correlation metric applied to gamma ray induced energy spectrums. Results lead to high selectivity of the data set covariance matrix. Wrote paper explaining the theoretical basis of the algorithm. Technique was successfully demonstrated in Vienna and verified empirically as part of an SMDC Army contract. Applied and implemented those algorithms to an integrated data acquisition system. Developed a scalable graphical version of the software with instrument control and data acquisition services. Debugged histogram integration C code that was embedded on an FPGA. Supported adaptation of interface to instrument firmware upgrades including concurrent use of wireless Ethernet, serial RS-232, parallel and PCMCIA devices. Developed numerically intensive software for characterization of gamma ray induced charge collection of HgI2. Contributed expertise in mathematical methods.

. Performed RF pulse detection performance analysis, synthesis of synchronization techniques, modeling and simulation of post-detection telemetry signal processing algorithms and analysis of error detection correction coding techniques. Designed and implemented digital signal processing algorithms for SIGINT demodulation, robust pattern recognition and deterministic signal parameter characterization. Promoted four times. Product development of high performance modems (signal demodulation and symbol synchronization sub-systems) through theoretical modeling, simulation and tape processing applications. Focused on extremely low SNR processing techniques including convolutional spectral processing and interference cancellation of narrow band interference. Conducted analysis study contracts, incorporated signal processing algorithms in FORTRAN VAX software processing packages and made recommendations for hardware development. Developed a patent applied log-likelihood weighting technique applied to modulo-2 synchronization systems. Presented research papers including "PSK Carrier Recovery through an Auto-Convergent Gradient Search" and "Integration Methods and Analysis for Cyclic Pattern Recognition". Extensive analysis software development in FORTRAN in VAX/VMS and SUN workstations.

Primary areas included antennas, propagation, ionospheric radar (sounding), and adaptive signal processing communications. Contributed significantly to ECCM HF study contracts for the U.S. Air Force and the U.S. Army CORADCOM. Created an AJ/LPI power control strategy for the U.S. Air Force. Proposed fundamental channel parameters needed for frequency management, modem performance estimation, and channel corrective techniques. Developed and verified, through simulations, digital signal processing algorithms for estimation of these parameters and for FSK detection. Performed modeling, analysis, and evaluation of advanced HF communication concepts and techniques. Acquired expertise in physics of ionospheric radio propagation and applied background to semi-empirical models for propagation prediction. Promoted from level II after one year. Performed analysis and modeling of HF antenna systems over lossy dielectrics.