Dietikon, Switzerland

Nikola Milojkovic

This inventor holds 4 USPTO granted patents and 4 published patent applications. Top assignee: Oracle International Corporation. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nikola Milojkovic. Retrieved from https://idiyas.com/inventor/nikola-milojkovic

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

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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4 patents (USPTO):Explore Patents

Title: Nikola Milojkovic: Innovating with Code Vectorization and Anomaly Detection

Introduction

Nikola Milojkovic, an accomplished inventor based in Dietikon, Switzerland, has made significant strides in the field of machine learning and feature extraction. With a total of three patents to his name, Milojkovic's work specializes in enhancing the analysis of parse trees and enabling effective anomaly detection.

Latest Patents

Milojkovic's latest patents reflect his deep expertise and innovative approach. One notable patent is titled "Generalized production rules—N-gram feature extraction from abstract syntax trees (AST) for code vectorization." This invention focuses on resource-constrained feature enrichment to analyze parse trees, particularly in the context of identifying suspicious database queries. It employs sequences of production rules derived from tree nodes in a parse tree, enabling machine learning models to generate inferences based on these extracted sequences.

Additionally, he has worked on a patent titled "Extraction from trees at scale," which introduces machine learning techniques for detecting anomalies in various parse trees, including logic statements, database queries, and general-purpose programming languages. This innovation is essential for enhancing the reliability of operational traces, allowing systems to identify anomalies through both explicit and implicit features extracted from multiple parse trees.

Career Highlights

Currently, Nikola Milojkovic is a key contributor at Oracle International Corporation, where he applies his expertise in machine learning and software development. His work not only propels innovation within the company but also shapes the industry standards for code analysis and anomaly detection.

Collaborations

Throughout his career, Milojkovic has collaborated with notable colleagues such as Arno Schneuwly and Felix Schmidt, enriching his projects with diverse perspectives and expertise. This teamwork has been instrumental in driving forward groundbreaking inventions in the realm of feature processing and analysis.

Conclusion

Nikola Milojkovic stands out as a dedicated inventor whose contributions to machine learning and parse tree analysis are invaluable. His inventive spirit and collaborative endeavors continue to influence the technological landscape, establishing him as a figure of innovation in the realm of software development and data analysis.

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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