Charles Black Evans Professor of Electrical and Computer Engineering at the University of Delaware
Leads research on advanced machine learning systems for biomedical image segmentation, including deep denoising diffusion probabilistic models, domain generalization, and graph-regularized adversarial training
Develops explainable AI methods for physiological signal analysis, such as ECG waveform detection and T-wave alternans identification
Explores AI-driven multisensor data fusion for UAV-based 3D mapping, photogrammetry, and defect detection
Made foundational contributions to nonlinear signal processing
Applied theoretical innovations to compressed sensing for wireless health monitoring, robust spectral imaging, and adaptive filtering in impulsive noise environments
Background
Research focuses on machine learning, artificial intelligence, and statistical signal processing
Applications span biomedical imaging, human–computer interaction, cybersecurity, and autonomous sensing systems
Develops robust, data-efficient algorithms for challenging real-world, low-data scenarios
Integrates deep learning, nonlinear and sparse signal processing, and graph signal processing
Currently serves as Director of the Center for Cybersecurity, Assurance, and Privacy (CCAP) at the University of Delaware
Holds a joint appointment with the Department of Biomedical Engineering