Shayla Islam
Papers
3
Total Citations
78
H-Index
2
About
Shayla Islam is a researcher at the forefront of intelligent healthcare and autonomous robotics, with a particular focus on pandemic-resilient systems and human-robot interaction. Her most impactful work, "Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring" (2024, 42 citations), introduces a novel architectural framework that integrates Narrowband IoT with edge intelligence to interconnect smart robotic monitoring devices for real-time disinfection and health surveillance—a critical contribution during global health crises. In "PackerRobo: Model-based robot vision self supervised learning in CART" (2022, 34 citations), Islam advances self-supervised learning techniques that enable robots to forecast and coordinate actions with humans in complex environments, addressing the fundamental challenge of seamless human-robot collaboration. Her technical expertise extends to electromechanical design, as demonstrated in her work on outer rotor brushless DC motors for robotics using Ansys Maxwell. With a growing citation footprint and a clear trajectory toward practical, life-saving applications, Islam is establishing herself as a key innovator in the convergence of IoT, edge intelligence, and autonomous systems for societal benefit.
Research Focus
Key Achievements
Top Papers
- 1
- 2PackerRobo: Model-based robot vision self supervised learning in CART34 citations · 2022
- 3