Kazunori Mukasa
Papers
1
Total Citations
5
H-Index
1
About
Kazunori Mukasa is a leading researcher in optical communications and next-generation network infrastructure, with a focus on hollow-core fiber technology and its integration with artificial intelligence platforms. His pioneering work on disaggregated computing access networks addresses the critical challenge of supporting dynamic AIoT (Artificial Intelligence of Things) environments, where self-driving vehicles, robots, and countless IoT devices require ultra-low latency and high-bandwidth connectivity. Mukasa’s most cited paper (2024, 5 citations) introduces a novel architecture that leverages newly structured hollow-core fibers to create a flexible, disaggregated access network capable of serving as an AI platform for real-time control of mobile IoT endpoints. This work bridges the gap between optical transport and distributed computing, enabling efficient data processing at the network edge. His contributions are particularly significant for emerging applications in autonomous systems and smart infrastructure, where traditional fiber networks struggle with latency and scalability. Mukasa’s research continues to shape the evolution of optical access networks, positioning him as a key innovator in the convergence of photonics and artificial intelligence for future communication systems.
Research Focus
Key Achievements
Top Papers
- 1