Engineering Project Leadership
Served as the Principal Investigator and Project Director on 40 projects, from US Government Agencies, US Industry, and Canada, exceeding $15,000,000. Served as the Co-Principal Investigator on 25 projects, from US Government Agencies, US Industry, and Australia, exceeding $7,000,000
RADARCompressive Urban Radar: Introduced, under a three-year project from Office of Naval Research, the new area of compressive urban imaging and sensing under a where I: a) Solved key problems for urban radars operating with substantially reduced space-time-frequency data, b) Developed ghost imaging reduction techniques using incomplete data, c) Devised change detection imaging methods for moving target indication (MTI) using compressed observations; d) Developed algorithms for structured Bayesian compressive sensing for distributed targets; e) Realized efficient 1-bit imaging using block sparsity, f) Developed compressive sensing holographic imaging techniques of 3-D objects for security applications.
Indoor Radar Monitoring for Healthcare: Headed a two-year project from Comcast Corporation. and a five-year project for Qatar National Research Fund on indoor monitoring. I led the area of RF sensing of activities of daily living (ADL) and hand/arm gesture recognition. I was among the first to develop: a) Accurate fall detection techniques for assisted living using handcrafted features and automatic feature learning; b) Machine learning and signal processing techniques for recognition of abnormal gait due to neurological and physical health conditions; c) Transfer learning, sparse autoencoders, and generative adversarial networks to handle training radar data insufficiency; d) Data cube and tensor based approaches for enhanced ADL classifications; e) Efficient hand/arm gesture recognition using curve matching and time-series analysis.
Sparse Aperture Radar Design: Headed a seven-year project from the Office of Naval Research on co-prime sensor arrays where I contributed extensively to advances in sparse array design. Major accomplishments include: a) Development of the theory of optimum sparse array configurations for maximizing beamforming output signal-to-interference-and-noise ratio, b) Development of generalized coprime array configurations to increase the number of virtual sensors, thus enabling direction finding for a large number of targets or emitters, c) Development of multi-frequency approaches for increasing the number of estimated sources far beyond that achieved using narrowband receivers; d) Development of effective direction-finding methods using sparse aperture for resolving a mixture of coherent and uncorrelated targets; e) Development of sparse aperture sensing on moving platforms; f) Development of sparse aperture design techniques for wideband signals using sparse reconstruction methods.
Ground Penetrating Radar: Contributed, under a three-year project from the Army Research Lab, to forward looking ground penetrating radar (GPR) imaging where I: a) Developed multi-view tomographic approaches and coherence-factor-based clutter mitigation techniques for imaging of shallow-buried landmines using a forward-looking GPR; b) Devised both adaptive and nonadaptive variants of image-domain likelihood ratio test to significantly suppress vulnerability of the target responses to interference scattering arising from interface roughness, leading to reliable detection of buried landmines. systems.
Passive Radar: Performed significant research, under a three-year project from the Air Force Research Lab, in imaging using signals of opportunity, such as TV and FM radio signals, with radar receivers. I developed: a) Sparsity-based space-time adaptive processing techniques for airborne passive radar; b) Effective clutter suppression techniques with extremely few secondary data samples; c) Complex multitask Bayesian compressive sensing algorithms for computationally intensive multi-sensor multi-target tracking problems.
Over-the-Horizon Radar: Introduced, under a three-year project from the Air Force Research Lab, novel time-frequency analysis techniques to characterize the Doppler effect of micro-multipath signals for tracking altitude of maneuvering targets. Major technical accomplishments include: a) Development of time-frequency analysis methods to resolve sources with closely separated time-varying Doppler signatures; b) Development of robust time-frequency analysis methods for frequency modulated signals in the presence of random or burst missing samples.
Dual-Function Radar Communication Systems: Headed a five-year project from the National Science Foundation project on radio frequency (RF) co-existence. I was among the first to develop strategies for RF convergence, in which radar and communications systems employ the same bandwidth and a common aperture. I introduced a) Novel signaling schemes for embedding communication information into radar pulses and radar beams; b) Novel signaling techniques for communication symbol embedding using amplitude-, phase-, and code-shift keying methods and utilizing both waveform-diversity and spatial degrees of freedom; c) High data rate communications in MIMO and Frequency-Hopping radars platforms.
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