Md Kamran Chowdhury Shisher
Papers
1
Total Citations
20
H-Index
1
About
Md Kamran Chowdhury Shisher is a researcher at the forefront of networked intelligence, specializing in the co-design of learning and communication systems for remote inference. His work addresses a critical challenge in edge AI: how to efficiently transmit time-sensitive features—such as video clips from a camera—to a neural network for real-time inference on dynamic targets like robot movement. In his most-cited paper, "Learning and Communications Co-Design for Remote Inference Systems," Shisher introduces a novel framework for jointly optimizing feature length selection and transmission scheduling, balancing accuracy with bandwidth constraints. This contribution, garnering 20 citations since 2023, has significant implications for autonomous systems, IoT, and latency-critical applications. By bridging information theory and machine learning, Shisher’s research enables smarter, faster decision-making in resource-limited environments. His work is recognized for its practical impact on next-generation wireless networks and edge computing, making him a rising voice in the field of communication-efficient AI.
Research Focus
Key Achievements
Top Papers
- 1