Aftab Khan
Papers
2
Total Citations
18
H-Index
2
About
Aftab Khan is a leading researcher at the intersection of the Internet of Things (IoT), edge intelligence, and real-time wireless control systems. His work is fundamentally concerned with bridging the gap between theoretical lab-based experiments and the messy, unpredictable conditions of the real world. Khan’s most significant contribution is the **UMBRELLA** platform, a large-scale, open IoT ecosystem deployed across South Gloucestershire, UK. As detailed in his highly cited 2024 paper (14 citations), UMBRELLA serves as a one-stop shop for accelerating IoT innovation, providing a critical testbed that moves beyond controlled environments. Complementing this infrastructure work, Khan tackles the core challenges of time-critical control over imperfect wireless networks. His 2023 paper on a “multi-service edge-intelligence paradigm” introduces a temporal-adaptive prediction method to mitigate the detrimental effects of packet loss and variable delays. This work is pivotal for enabling reliable, real-time control in applications like autonomous systems and industrial automation. By simultaneously building the experimental platforms and the intelligent algorithms to run on them, Aftab Khan is actively shaping the future of robust, real-world IoT and edge computing.
Research Focus
Key Achievements
Top Papers
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- 2