Responsible for product strategy and marketing, business development, and solution delivery

Intelligent Transportation Systems• Led strategy, business development, and capture management for SwRI's Integrated Corridor Management (ICM) program area• Provided project management, technical leadership, and AI/ML expertise for ITS R&D projects focused on real-time and predictive geospatial data analytics

Intelligent Transportation Systems — software development, systems engineering, and project management for ITS R&D projects• Connected vehicles and infrastructure• Advanced traffic management systems• Transportation data exchange systemsIntelligent Energy Inspection Technologies• Developed autonomous oil & gas leak detection technologies using machine learning and multi-platform remote optical sensing  ➣ Smart LEak Detection (SLED) for liquid hydrocarbons, recipient of an R&D100 award in 2017 and a US Patent in 2020  ➣ SLED/M for the detection and quantification of fugitive methane emissions  ➣ Fused visible and SAR satellite imagery to improve detection and tracking of marine oil spills• Developed signal processing algorithms for time domain reflectometry-based high impedance fault detection and localization in power distribution systemsHigh Reliability Systems• Member of flight software development teams for the National Aeronautics Space Agency's (NASA) Cyclone Global Navigation Satellite System (CYGNSS) mission and the Ultraviolet Spectrograph (UVS) for the European Space Agency's (ESA) Jupiter Icy Moon Explorer (JUICE)• Developed deep learning-based automated data compression and analysis algorithms onboard a mass spectrometer for planetary exploration

Signal Exploitation & Geolocation• Designed, developed, and tested signal processing algorithms for automated signal detection, classification, demodulation, and decoding of generic and targeted communication signals for large-scale SIGINT systems• Designed and developed a framework for reliable classification of sub-Nyquist sampled RF signals based on features extracted using dictionary learning techniques for sparse representations of spectrograms

Autonomous Networks Research Group - https://anrg.usc.edu/www/• Developed a learning-based mobile sensing policy for Markovian user state estimation given subsampled time series data

Signal Processing, Communications & Computer Engineering Group (S*PROCOM²)• Implemented machine learning algorithms for classification of tree species from hyperspectral data• Studied subband signal processing and wavelet-based techniques for image denoising• Analyzed methods used for object recognition delineation in ultrasound images

• Performed heat transfer analysis and field-tested thermoelectric power system• Cultivated a garden in Hveragerði, Iceland, using geothermal heated ground agriculture