Leesburg, VA, United States of America

Mohamed Nooman Ahmed

This inventor holds 26 USPTO granted patents and 5 published patent applications, primarily in Cybersecurity Analytics. Top assignee: International Business Machines Corporation. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohamed Nooman Ahmed. Retrieved from https://idiyas.com/inventor/mohamed-nooman-ahmed

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

USPTO Granted Patents = 26 

% Patents Active = 73.1

Average Co-Inventor Count = 2.2

ph-index = 5

Forward Citations = 68(Granted Patents)


Location History:

  • Loudoun County, VA (US) (2020)
  • Leesburg, VA (US) (2016 - 2022)

Company Filing History:


Years Active: 2016-2025

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Areas of Expertise:
Cyber-Attack Forecasting
Image Segmentation
Natural Language Processing
Convolutional Neural Networks
Object Detection
Data Classification
Neural Embeddings
Face Recognition
Data Compression
Question Formulation
User Behavior Analysis
26 patents (USPTO):Explore Patents

Title: Innovations in Security Technology: The Contributions of Mohamed Nooman Ahmed

Introduction

Mohamed Nooman Ahmed, an accomplished inventor based in Leesburg, VA, holds an impressive portfolio of 26 patents. His groundbreaking work primarily focuses on advanced security techniques and technology, particularly in identifying prohibited objects at security checkpoints.

Latest Patents

Among his most recent patents, Ahmed has developed a two-stage screening technique for prohibited objects at security checkpoints using image segmentation. This innovative system and method involves classifying compartments into different categories using a first-stage neural network that analyzes three-dimensional representations of compartments captured from imaging devices. Upon classifying a compartment as potentially hazardous, a second-stage neural network is employed to perform image segmentation, effectively isolating any dangerous objects present.

Another notable patent involves a method for automatically detecting prohibited materials within compartments at security checkpoints. This system receives three-dimensional representations and assesses each voxel using a trained neural network. The aim is to determine if any voxel classifications match that of a prohibited material, thereby enhancing the overall security process.

Career Highlights

Ahmed currently works at IBM, where he contributes his expertise to developing cutting-edge technologies that enhance security measures. His continuous efforts in research and development have solidified his reputation as a key player in the innovation of security screening techniques.

Collaborations

Throughout his career, Ahmed has collaborated with esteemed colleagues such as Aaron K Baughman and John F Behnken. These partnerships have fostered a productive environment for innovation, enabling the collective exploration of advanced technologies and security solutions.

Conclusion

Mohamed Nooman Ahmed exemplifies the spirit of innovation in the field of security technology. With his extensive portfolio of patents, he has made significant contributions that are pivotal for enhancing safety at security checkpoints. His work not only demonstrates the importance of technological advancements in security but also highlights the collaborative nature of innovation in the modern era.

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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