Ibrahim F Ghalyan

Title: Innovations by Ibrahim F Ghalyan in Data Prediction and Verification

Introduction

Ibrahim F Ghalyan is an accomplished inventor based in New York, NY (US). He has made significant contributions to the fields of data prediction and electronic verification through his innovative patents. With a total of 2 patents, Ghalyan's work focuses on enhancing the efficiency and accuracy of data processing in various applications.

Latest Patents

Ghalyan's latest patents include "Systems and methods for generating optimal data predictions in real-time for time series data signals." This patent describes methods and systems that generate optimal data predictions based on empirically-optimized model selection, noise filtering, and window size selection using machine learning models. The system is designed to receive a subset of time series data and a prediction horizon, generating a feature input that is then processed by a machine learning model to provide predictions for display on a user interface.

Another notable patent is "Methods and systems for real-time electronic verification of content with varying features in data-sparse computer environments." This invention provides a machine learning model capable of exploiting long time dependency for time-series sequences. It performs end-to-end learning of dimension reduction and clustering, training on long time-series sequences with low computational complexity. The model generates cluster-specific temporal representations and integrates temporal reconstruction with a clustering objective into a joint end-to-end framework.

Career Highlights

Ibrahim F Ghalyan is currently associated with The Bank of New York Mellon Corporation, where he applies his expertise in data science and machine learning. His role involves leveraging innovative technologies to improve data processing and verification methods within the financial sector.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Ibrahim F Ghalyan's contributions to data prediction and electronic verification demonstrate his commitment to advancing technology in meaningful ways. His innovative patents reflect a deep understanding of machine learning and its applications in real-time data processing.