Aslam Nagarkatti

Title: Aslam Nagarkatti and Particle Classification Innovation.

Introduction

Aslam Nagarkatti is an inventor based in Skillman, New Jersey. His patent work includes a method for using machine learning to identify and classify sub-visible particles in images of fluids and pharmaceutical samples.

Latest Patents

Nagarkatti is associated with 1 patent, titled “Methods and Systems for Particle Classification.” The invention analyzes multiple images with one or more machine-learning models, such as convolutional neural networks, to identify and classify particles that may be difficult to see. Examples include cells, pathogens, protein aggregates, silicone oil droplets, fibers, air bubbles, and glass particles. The approach is intended for samples that may include pharmaceutical products, drugs, and medicines.

Career Highlights

Nagarkatti works at Regeneron Pharmaceuticals, Inc. His patent reflects the application of machine learning to particle analysis, a capability relevant to examining pharmaceutical samples.

Collaborations

His listed coworkers include Qingyan Hu and Robert McCowan. Their names are provided as professional associations; the available information does not specify their roles in the patent.

Conclusion

Aslam Nagarkatti’s particle-classification patent describes a machine-learning approach to detecting and categorizing sub-visible particles in pharmaceutical samples.