Papers
2
Total Citations
61
H-Index
2
About
Raja Jurdak is a leading researcher in the Internet of Things (IoT), pervasive computing, and networked sensing systems. His work fundamentally advances how autonomous systems perceive and interact with the world, particularly in challenging real-world environments. A key contribution is his development of autonomous surveillance systems for biosecurity, where he pioneered the use of networked sensors and mobile robots for early threat detection, a paper that has garnered 39 citations and laid groundwork for precision agriculture. More recently, Jurdak has made a critical impact on the reliability of artificial intelligence. His highly cited 2022 paper, "What's in the Black Box? The False Negative Mechanisms Inside Object Detectors," systematically deconstructs why AI vision systems fail to see objects, identifying five distinct failure mechanisms within detector architectures. This work provides a crucial framework for debugging and improving the trustworthiness of AI in safety-critical applications. With a career spanning foundational IoT theory to applied AI safety, Jurdak’s research is essential reading for anyone building robust, autonomous cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Autonomous surveillance for biosecurity39 citations · 2015
- 2