Gurpreet S. Kalsi
Papers
2
Total Citations
20
H-Index
1
About
Gurpreet S. Kalsi is a leading researcher at the intersection of computer architecture, embedded systems, and 3D computer vision, with a focus on enabling real-time, energy-efficient AI for autonomous systems. His major contributions center on hardware-software co-design, where he optimizes complex algorithms for resource-constrained edge devices. In his highly cited 2019 work on Visual Inertial Odometry (VIO), Kalsi identified key compute bottlenecks and engineered a co-design approach that dramatically reduces latency and power consumption—a critical enabler for AR/VR headsets, drones, and autonomous robots. More recently, his 2025 paper on "Ace-of-Spades" tackles the challenge of accelerating spatially sparse convolutions for 3D scene understanding, a core task in robotics and autonomous driving. By optimizing how neural networks process point cloud data, his work pushes the boundaries of what is possible on low-power hardware. With over 20 citations on his foundational VIO paper alone, Kalsi’s research is shaping the next generation of intelligent, autonomous systems that must see, understand, and navigate the world in real-time.
Research Focus
Key Achievements
Top Papers
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