Dr. Kevin Decker

Staff AI/ML Researcher | Computer Vision for Real-World Sensing Systems

I am a computer vision engineer with 10 years of industry experience and a PhD in Computer Science, specializing in multimodal perception systems. I design and deploy detection, segmentation, and tracking systems for real-world sensing problems.

I combine applied research with strong software engineering, building end-to-end ML systems from data curation and model development through evaluation, tooling, and deployment. My doctoral research focused on multimodal remote sensing fusion and statistically sound evaluation of spatial data, and my professional work has centered on translating advanced AI/ML methods into practical systems that operate on real sensors and real data.

Key Skills

Computer Vision

Experience across object detection, semantic segmentation, multi-object tracking, trajectory prediction, and multimodal fusion, with a focus on real-world sensing and perception systems.

Multidisciplinary Experience

Broad technical experience spanning remote sensing, radar, materials science, and autonomous systems, with applied work across sensing modalities from LiDAR to iSAR.

Hands-on Experience

Strong software engineering background paired with applied AI/ML research experience, covering the full model lifecycle from data pipelines and training to evaluation, tooling, and deployment.

Lifelong Learning

Continuously engaged with emerging research in computer vision and machine learning, with a particular interest in methods that bridge advanced research and deployable systems.