This inventor holds 3 USPTO granted patents and 4 published patent applications. Top assignee: At&t Intellectual Property I, LP. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Subrat Patra: Network Innovation and Predictive Systems
Introduction
Subrat Patra is an inventor based in Schaumburg, Illinois. His work focuses on communication networks, resource allocation, and automated network operations. He is associated with AT&T Intellectual Property I, LP and holds 3 patents.
Latest Patents
Patra’s listed recent patents address forecasting network demand and using artificial intelligence or machine learning to anticipate network issues.
“Communication Network Resource Allocation via Segmented Demand Forecasting” describes a system that groups communication network customers into segments and forecasts customer orders and resource demand. When a new order arrives, the system uses the customer’s segment and predicted demand to select a network resource for handling that customer’s data traffic.
“Predictive Zero-Touch Network and Systems Reconciliation Using Artificial Intelligence and/or Machine Learning” describes an automated process that compares historical and current network operating characteristics to predict potential future events. The system classifies a predicted event and facilitates an action intended to help prevent it, without requiring manual intervention at each step.
Career Highlights
Patra’s patent work reflects an emphasis on applying forecasting and automation to network management. The described inventions aim to support more informed resource allocation and proactive responses to potential network events.
Collaborations
Patra is associated with AT&T Intellectual Property I, LP. His listed coworkers include Abdulla Udaipurwala and Ivetta Pogosova.
Conclusion
Subrat Patra’s inventions address practical challenges in communication networks by combining demand forecasting, resource allocation, and automated prediction to support efficient and resilient network operations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
