Recent Research Topics

• Joint Measured and Synthetic Data Training for CNN-Based SAR Target Classifier
• Deep Learning Model-based Algorithm for SAR ATR
• High-Performance Multi-Agent Based CNN Systems for SAR Feature Extraction
• Toward morGAN: Modern Object Recognition using GANs
• Siamese and Triplet Networks for Measuring Quality of Synthetic SAR Data
• One Shot Learning using Siamese Neural Networks
• GANs for EO Illumination
• Generative Adversarial Networks to Close SAR Synthetic/Measurement Gap
• BicycleGAN for Improving Synthetic SAR Data
• Convolutional Sparse Representations of 3D LADAR Data for Robust Classification
• Sparsity-Based SAR ATR: A Preliminary Study
• Sparsity-based Interferometric SAR
• Back Projection to 3D Probabalistic Electro Optic Model
• SAR ATR Performance Validation of Synthetic and Measured data
• Score Estimation of Klander Data using Boosting Algorithms
• Articulating CAD Models
• Generating a Hybrid and Fused Scale Model, Measured, and Synthetic Data Set
• Target Recognition of CAD Model Fidelity
• Material Characterization in the Microwave Spectrum
• Model-in-the-Loop Waveform Optimization for Amplifiers
• Cognitive Radar Algorithms for Waveform Parameter Adaptation using Software-Defined Radar
• Multi-Waveform STAP with Embedded Communications
• Narrowband Imaging of Rotating Objects
• Using LMS to Process Passive Noise Radar Data
• Cramer-Rao Bounds for Direction Finding
• Statistical Based Frequency Hopping Pattern Detection
• Neural Net Feature Space Enhancement for Open Set Classification
• Reinforcement Learning and Generalization in Unknown Environments
• Simulation of Detection with Distributed Infrasonic Sensors
• Bistatic SAR Integration and Experimentation in EW Simulation
• Small UAV Vulnerability Study
• Goal-Driven Cognitive Algorithmic Processing for EW
• Environment-Robust LWIR Hyperspectral Change Detection
• Hyperspectral Image Creation using GANs
• SensorCraft
• Robust Recognition for 3D LADAR
• Extracting Anomolous Patterns from Movement Data
• Spectral Clustering for Directed Graphs
• Ledoit-Wolf covariance estimation for STAP
• Machine Learning Models for Transfer Learning Applications
• Manifold Transfer Learning and Deep Network Fine-Tuning for EO Satellite Images
• Capsules vs. ConvNets
• Temporal Event Detection
• Multi-Task Semantic Video Captioning in the Wild & Attacks Against Model-based Text Transcription
• Ground Truthing and Exploiting WAMI
• GAN-based Superresolution of Aircraft Satellite Images
• Signal Modeling and Optimal Partitioning
• Gaussian Mixture Models for DeepNav
• DeepFilter: Integrating sequential outputs of deep networks
• Scalability of DeepNav
• Capsule Networks, Deepnav
• Improvements for SLAM Benchmarking
• Feasibility Study of Eye Gaze Assisted EO Truthing
• Practical particle filter sampling using an observation estimate
• α-KS Goodness of Fit for Interacting Multiple Model Testing
• Conservative PDFs and Data Fusion Applications
• Verifying the Uncertainty of PoseNet Outputs
• Simultaneous Localization and Mapping in Mobile Robots
• Multisensor Fusion Data Collection System
• Automatic Covariance Calibration of Uncharacterized Sensor for Multisensor/Multitarget Tracking and Fusion
• Model-Assisted Multi-Target Tracking with Simultaneous Sensor Calibration
• Learning and Evaluating Deep Features for Data Association
• Contextual Refinement for Semantic Image Segmentation
• Probabilistic Reasoning for Decision and Control of UAVs
• Probabilistic Reasoning with SNNs and the NEF
• Biological Systems and Their Application in Robotics
• Complex Algorithm Assessment on Reconfigurable Devices
• Integration of ROS with the TurtleBot 2
• Detecting and Analyzing Anomalies with Topological Data Analysis
• Comparing Multiple Synthetic Predictors
• Efficient J2K Image Compression for Low SWaP Devices
• Real Time Kinematic GNSS Receiver Network
• Spatial Heterodyne Imaging systems