Reema Hingorani

Title: Reema Hingorani: Innovator in Anomaly Detection

Introduction

Reema Hingorani is a prominent inventor based in Haryana, India. She has made significant contributions to the field of machine learning, particularly in the area of anomaly detection within signaling system networks. Her innovative work has led to the development of a patented technology that enhances network security and reliability.

Latest Patents

Reema Hingorani holds a patent for "Anomaly detection in SS7 control network using reconstructive neural networks." This patent involves machine learning techniques for unsupervised training with a diverse corpus of signaling system 7 (SS7) messages. The technology focuses on detecting anomalous SS7 messages by utilizing feature vectors derived from unlabeled SS7 messages. The approach employs a reconstructive model, such as an autoencoder, to identify anomalies effectively.

Career Highlights

Reema Hingorani is currently employed at Oracle International Corporation, where she applies her expertise in machine learning and network security. Her work at Oracle has allowed her to collaborate with other talented professionals in the field, further advancing her research and innovations.

Collaborations

Some of her notable coworkers include Hamed Ahmadi and Ali Moharrer. Their collaboration has contributed to the development of cutting-edge technologies in the realm of network security and machine learning.

Conclusion

Reema Hingorani's contributions to anomaly detection and machine learning exemplify her innovative spirit and dedication to advancing technology. Her patented work not only enhances network security but also showcases the potential of machine learning in real-world applications.