2. Awards: Specific award information not provided.
3. Projects: Multiple research projects funded by DOE, USDA NIFA, NSF, etc.
Research Experience
1. Research Projects: Landmine and explosive object detection, automated plant phenotyping, sub-pixel target detection, underwater scene understanding, etc.
2. Current Projects: CM3C, Paving the Way for Adoption of New Technologies, DSFAS: Getting to the Core of Roots, Understanding the Role of Tortoises in Shaping Freshwater Ponds in the Galápagos, HCC: Optimizing Interactive Machine Learning Tools to Support Plant Science, NPIX: 3D Imaging System for Noisy Objects, Domain Transfer for Continuity of Performance Across Synthetic Aperture Sonar Systems, Aflatoxin Mitigation Research, MCA: Improving Understanding of Controls Over Spatial Heterogeneity in Dryland Soil Carbon Pools, APPS: Alliance of Plant Phenotyping Software Developers, AI-HARVEST: Artificial Intelligence Hub for Agricultural Reporting and Verification of Ecosystem Services through Sensing Technologies.
Background
Research Interests: Machine learning, pattern recognition, computational intelligence, signal processing, information fusion. Specialization: Sensor data analysis and understanding. Brief Introduction: Leads the Machine Learning and Sensing Laboratory at the University of Florida.
Miscellany
Social Media: Facebook, X (formerly Twitter), YouTube, LinkedIn, Instagram, Flickr