Hyderabad, India

Rustum Mohiddin Mohammad

This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rustum Mohiddin Mohammad. Retrieved from https://idiyas.com/inventor/rustum-mohiddin-mohammad

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rustum Mohiddin Mohammad: Real-Time Software Tamper Detection

Introduction

Rustum Mohiddin Mohammad is an inventor based in Hyderabad, India. His patent work focuses on applying machine learning and quantum computing concepts to software security.

Latest Patents

Mohammad is associated with 1 patent: “Real-time tamper-detection protection for source code using LSTM and QLSTM with quantum cache.” The disclosed system preprocesses source code into a minimal intermediate representation and extracts semantic and syntactic features using word-embedding algorithms. It then analyzes the data with a classical long short-term memory (LSTM) model to detect basic tampering patterns and a quantum LSTM (QLSTM) model to assess more complex attempts. A quantum cache supports efficient data retrieval and manipulation for real-time or near-real-time analysis. The system is designed to improve tampering detection and support timely intervention, with remediation performed automatically or manually using historical or dynamically generated solutions.

Career Highlights

Mohammad works at Bank of America Corporation. His patent describes a security approach that combines classical machine learning, quantum-inspired analysis, and caching to help identify source-code tampering.

Collaborations

Pushkar Taneja is identified as Mohammad’s coworker. The provided information does not specify whether Taneja collaborated on the patent.

Conclusion

Rustum Mohiddin Mohammad’s patent centers on combining LSTM and QLSTM models with a quantum cache to detect source-code tampering and support timely remediation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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