Afzan Adam

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About

Dr. Afzan Adam is a researcher at the forefront of secure and efficient robotic systems, with key contributions spanning cloud robotics, cybersecurity, and resource optimization. Her work addresses critical challenges in peer robot communications, particularly the trade-off between data security and performance overhead. In her highly cited 2019 study, "Evaluation of Peer Robot Communications using CryptoROS" (8 citations), Dr. Adam demonstrated how encryption protocols like CryptoROS can safeguard sensitive robotic data—such as odometry and perception streams—against cyberattacks, while quantifying the computational costs introduced. She further advanced the field through her 2020 paper, "Resource Optimisation using Multithreading in Support Vector Machine" (5 citations), which tackled computational bottlenecks in vision-based robotics. By leveraging multithreading techniques, she enabled low-cost devices to perform complex image processing tasks more efficiently, a breakthrough for applications like autonomous robotic cars. Dr. Adam’s work is pivotal for balancing security and performance in real-world robotic deployments, making her a leading voice in the intersection of robotics, cryptography, and resource-aware computing. Her research continues to inspire innovations in secure, scalable autonomous systems.