Srivatsava Jandhyala
Papers
1
Total Citations
19
H-Index
1
About
Srivatsava Jandhyala is a leading researcher at the intersection of computer architecture, embedded systems, and autonomous navigation. His work focuses on enabling real-time, energy-efficient perception for edge devices, particularly through hardware-software co-design for visual-inertial odometry (VIO). In his highly cited 2019 paper, “Visual Inertial Odometry At the Edge,” Jandhyala identified critical compute bottlenecks in VIO pipelines and proposed a co-designed system that dramatically reduces latency and power consumption—a foundational requirement for AR/VR, drones, and autonomous robots. This work, with 19 citations, demonstrates his ability to bridge algorithmic efficiency with hardware acceleration, making complex perception tasks feasible on resource-constrained platforms. Beyond VIO, Jandhyala’s contributions extend to optimizing deep learning inference and sensor fusion for real-time systems. His research has been recognized for its practical impact on next-generation autonomous systems, earning him a reputation as a key innovator in edge computing. For students and researchers, his work exemplifies how thoughtful co-design can unlock new capabilities in robotics and mobile devices.
Research Focus
Key Achievements
Top Papers
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