This inventor holds 1 USPTO granted patent. Top assignee: Cisco Technology, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: MD Atiqur Rahman and Dynamic Power Management in Sensor-Enabled Networks.
Introduction
MD Atiqur Rahman is an inventor based in Sunnyvale, California, and works at Cisco Technology, Inc. His patent work addresses power management in network nodes, with an emphasis on balancing energy use, network performance, and sustainability goals.
Latest Patents
Rahman is associated with 1 patent: “Dynamic Feature Shedding in Sensor Enabled Networks.” The invention describes systems and methods that monitor power consumption and dynamically disable or reenable network features according to their priorities and energy use.
The approach uses historical sensor and feature data to train a machine-learning model that predicts power consumption and identifies relationships between features and power requirements. A power budget can be set in line with sustainability goals, while real-time monitoring guides feature adjustments. The model can also be validated and updated with new historical data, and feature-to-power information can be shared with network nodes and management systems.
Career Highlights
Rahman’s listed invention focuses on applying data-driven power management to sensor-enabled networks. By adapting feature availability to changing power conditions, the system aims to reduce energy consumption while maintaining effective network operation.
Collaborations
The patent is associated with Cisco Technology, Inc., where Rahman works. The described system also involves coordination between network nodes and management systems through the distribution of feature-to-power association data.
Conclusion
MD Atiqur Rahman’s patent presents an adaptive approach to managing energy use in network nodes, combining real-time monitoring and machine-learning predictions to support network performance and sustainability objectives.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
