Daniel Poul Mtowe
Papers
2
Total Citations
12
H-Index
2
About
Daniel Poul Mtowe is an emerging researcher whose work sits at the intersection of edge computing, wireless networked control systems, and real-time robotics applications. His research addresses one of the most pressing challenges in modern cyber-physical systems: reducing communication latency to enable reliable, responsive control over wireless networks. His most influential contribution, "Edge-Computing-Enabled Low-Latency Communication for a Wireless Networked Control System" (2023, 10 citations), introduced a novel strategy that moves computational processing closer to the network edge, eliminating the delays inherent in transmitting raw sensor data to remote controllers. This work represents a meaningful step forward in making wireless control systems viable for time-critical industrial applications. Building on this foundation, his 2025 paper on Edge-Enabled Digital Twin systems demonstrates a scalable architecture designed for multi-robot collision avoidance and remote control in dynamic environments, moving away from latency-prone centralized cloud processing. With 2 citations already accrued shortly after publication, this work signals growing interest in his approach. Mtowe's research trajectory reflects a clear and ambitious vision: bridging the gap between theoretical networked control and practical, real-world deployment in robotics and automation — a domain of rapidly expanding importance.
Research Focus
Key Achievements
Top Papers
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- 2