Irum Nahvi

Title: Irum Nahvi: Inventor of an Aerial Image Classification System.

Introduction

Irum Nahvi is an inventor associated with Dhahran, Saudi Arabia, and Prince Mohammad Bin Fahd University. Her work includes an invention for classifying aerial images using unmanned aerial vehicle technology and machine learning.

Latest Patents

Nahvi is named on 1 patent, titled “Aerial Image Classification System.” The invention describes a system comprising an unmanned aerial vehicle (UAV), a camera, memory, and a local processor, wirelessly connected to a central server. The server processes camera images into adaptively scaled spatial representations and applies a Mixture-of-Experts (MoE) architecture. It assigns weights to expert blocks, processes the representations using those weights, combines the blocks’ outputs into an aggregated feature representation, and classifies the input image based on that representation.

Career Highlights

Nahvi’s patent reflects work at the intersection of aerial imaging, UAV systems, and image classification. The described approach uses multiple expert blocks to process image features and combine their outputs for classification.

Collaborations

The provided information identifies Muhammad Attique Khan as Nahvi’s coworker. Her listed institutional affiliation is Prince Mohammad Bin Fahd University.

Conclusion

Irum Nahvi’s patented aerial image classification system combines UAV imagery with an MoE-based processing approach, highlighting her contribution to image analysis and classification.