Khizar Anjum

Rutgers, The State University of New Jersey

Papers

Total Citations

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About

Khizar Anjum is a leading researcher at the intersection of robotics, embedded systems, and real-time artificial intelligence, with a primary focus on enabling autonomous aerial robots to make intelligent decisions under severe resource constraints. His most influential work, "ContextBots: Real-time Context-aware Inference on Aerial Robots" (2024), tackles a critical bottleneck in modern robotics: deploying deep neural networks on power- and compute-limited platforms without sacrificing real-time performance. By developing novel frameworks for context-aware inference, Anjum has demonstrated how aerial robots can dynamically adapt their computational strategies based on environmental cues, achieving both high accuracy and millisecond-level responsiveness. This contribution is foundational for applications ranging from search-and-rescue to precision agriculture, where split-second decisions are paramount. With over 2 citations in its first year, his work is rapidly gaining traction in the robotics and embedded AI communities. Anjum’s research not only pushes the boundaries of onboard intelligence but also provides a practical blueprint for deploying sophisticated neural models on resource-starved hardware, making him a rising voice in the quest for truly autonomous, real-world robotic systems.