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Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking
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Design, train, and extend custom neural network architectures for analyzing acoustic signatures, noise patterns, and audio anomalies
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Optimize real-time audio signal processing pipelines for UAV swarm coordination, defense systems, and stealth detection
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Apply microphone array processing, acoustic beamforming, Doppler analysis, and advanced noise reduction techniques to improve UAV audio sensing performance
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Lead hands-on efforts in data collection, labeling, augmentation, and training for complex, custom acoustic datasets
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Integrate AI-powered acoustic models into multi-modal sensor fusion frameworks (Radar, RF, EO/IR, LiDAR)
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Ensure compliance with defense and aerospace standards (MIL-STD, ITAR, NATO STANAGs, IEC acoustic systems)
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Extensive, hands-on experience in AI-driven audio signal processing, acoustics, or acoustic sensing
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Deep knowledge of neural network models for sound applications, including detection, classification, and localization
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Demonstrated ability to design, modify, and extend network architectures, not limited to off-the-shelf models
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Strong background in microphone array processing, acoustic beamforming, sound localization, and noise reduction
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Proven experience with data acquisition, labeling pipelines, augmentation strategies, and training models from scratch or adapting them to custom classes
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Solid understanding of real-time DSP and AI-enhanced signal processing systems
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High proficiency in Python and PyTorch, with practical experience using audio processing libraries and frameworks