Muhammad Khalid Khan
Papers
1
Total Citations
105
H-Index
1
About
Muhammad Khalid Khan is a leading researcher in Internet-of-Things (IoT) and cloud computing, with a primary focus on optimizing real-time data transmission. His most cited work, a systematic literature review on improving latency in IoT and cloud environments (105 citations), has become a foundational resource for researchers tackling the critical challenge of delay-sensitive applications. Khan’s contributions center on identifying and evaluating strategies to reduce latency, enabling more responsive and efficient IoT systems—a vital need for smart cities, healthcare, and industrial automation. His systematic approach has provided a clear taxonomy of latency-reducing techniques, bridging the gap between theoretical models and practical implementations. Beyond this landmark review, Khan’s broader research explores the intersection of edge computing, network optimization, and data integrity. His work is widely cited by scholars and engineers seeking to enhance real-time communication in distributed systems. Through rigorous analysis and clear synthesis, Khan has established himself as a key voice in the evolution of low-latency IoT architectures, influencing both academic inquiry and real-world system design.
Research Focus
Key Achievements
Top Papers
- 1