Seeing in the Dark: Unlocking AI in Next-Gen Radar Applications

Radar has long enabled us to “see” what the human eye cannot—through darkness, fog, and across great distances. In areas like remote sensing and synthetic aperture radar (SAR), it reveals the invisible, powering applications from environmental monitoring to autonomous systems. Yet radar development has traditionally been split between two worlds: the rigor of digital signal processing (DSP) and the adaptability of AI. This talk introduces NVIDIA NVRadar, a GPU-native software framework that unites DSP and AI into a single, accessible workflow. By combining simulation, testing, model training, and real-time deployment, it opens the door for both engineers and AI practitioners to create smarter, more responsive radar systems. Attendees will see how next-generation tools are transforming radar into an intelligent platform for “seeing in the dark.”

Speakers:

May Casterline, Director, Solution Architecture, NVIDIA — Dr. May Casterline is a director of solutions architecture at NVIDIA, focusing on deep learning and AI applications. She holds a Ph.D. and B.S. in imaging science from Rochester Institute of Technology, with a focus on remote sensing. In industry, she has acted as a product owner, technical lead, lead developer, and image scientist on both research initiatives and development projects.

Tyler Allen, Sr. Developer Technology Engineer, NVIDIA — Tyler focuses on accelerated rendering, high-fidelity physics modeling, and low-latency interconnects. He has most directly contributed to technologies in the defense industry, developing new methods for real-time image presentation, physics-based rendering, and large-scale computing deployment.