Takanori Iwai
Papers
2
Total Citations
14
H-Index
2
About
Takanori Iwai is a researcher at the forefront of low-latency wireless communications and edge computing, with a focus on enabling real-time applications in mobility and computer vision. His work addresses critical challenges in delay-sensitive systems, such as remote robot control and augmented reality, where network reliability is paramount. Iwai’s most cited paper, “Delay Jitter Modeling for Low-Latency Wireless Communications in Mobility Scenarios” (2022, 12 citations), pioneers a framework for understanding and predicting delay jitter in mobile environments—a key factor for maintaining performance in high-frequency wireless control systems. This contribution fills a gap left by prior models that relied on single-parameter approaches, offering more robust solutions for next-generation networks. In related work, “Edge Cloud Ensemble with Motion Vectors for Object Detection in Wireless Environments” (2021, 2 citations) explores cloud offloading to reduce computational demands on edge devices, addressing bandwidth fluctuations that hinder mobile computer vision applications. Together, these studies highlight Iwai’s impact on bridging theoretical modeling with practical wireless system design, supporting advancements in robotics and IoT. His research is essential for students and engineers developing low-latency, resilient communication systems in dynamic environments.
Research Focus
Key Achievements
Top Papers
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