Ryan Kastner
Papers
4
Total Citations
232
H-Index
4
About
Ryan Kastner is a leading figure at the intersection of reconfigurable computing, embedded systems, and marine robotics. His research fundamentally advances how we build efficient, real-time systems, from the ocean floor to autonomous robots. A major contribution is the development of the Mini-Autonomous Underwater Explorer (M-AUE), a swarm of miniature drifters designed to measure submesoscale ocean dynamics. This work, cited over 177 times, provides a novel, low-cost approach to capturing the complex 3D motions of the ocean, a critical challenge for climate science. On the hardware side, Kastner is a pioneer in using FPGAs for computationally intensive tasks. His work on real-time dense SLAM (cited 33 times) and 3D reconstruction (cited 17 times) demonstrates how to achieve high performance with low power, enabling advanced robotics and augmented reality on embedded devices. More recently, his TOP project tackles the critical challenge of predictability in heterogeneous Systems-on-Chip (SoCs) for safety-critical applications like autonomous driving. By blending innovative hardware design with real-world deployment, Kastner’s work consistently pushes the boundaries of what is computationally possible in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2FPGA Architectures for Real-time Dense SLAM33 citations · 2019
- 3
- 4TOP: Towards Open & Predictable Heterogeneous SoCs5 citations · 2024