Yusuke Shinohara
Papers
2
Total Citations
14
H-Index
2
About
Yusuke Shinohara is a researcher at the forefront of low-latency wireless communications and edge computing, addressing critical challenges in mobility and real-time applications. His work focuses on modeling and mitigating delay jitter—a key obstacle for delay-sensitive systems like remote-controlled mobile robots and high-frequency wireless networks. In his highly cited 2022 paper (12 citations), Shinohara developed a novel delay jitter model for mobility scenarios, providing a foundational framework for ensuring reliable, low-latency communication in dynamic environments. This contribution is vital for advancing autonomous systems and teleoperation. Additionally, his 2021 research on edge cloud ensembles introduces a pioneering approach to object detection in wireless environments. By integrating motion vectors with cloud offloading, Shinohara enables smaller, resource-constrained edge devices to perform complex computer vision tasks—such as those needed for robotics and augmented reality—despite bandwidth fluctuations. His work bridges the gap between theoretical modeling and practical deployment, directly impacting the next generation of mobile and wireless systems. Shinohara’s research is essential reading for anyone exploring the intersection of wireless networking, edge intelligence, and real-time control.
Research Focus
Key Achievements
Top Papers
- 1
- 2