Deep Learning for Behavior-Based, Invisible Multi-Factor Authentication
US Patent App. 17/664,867. A novel approach to multi-factor authentication using deep learning techniques for behavior-based authentication.
US Patent App. 17/664,867. A novel approach to multi-factor authentication using deep learning techniques for behavior-based authentication.
Published in SoutheastCon 2021. A study on converting natural language to predicate logic expressions, enhancing the interface between human language and logical computational systems.
US Patent App. US20220366026A1. An innovative method leveraging multi-factor authentication data to improve machine learning models for authentication systems.
Presented at The Fourteen LACCEI International Multi-Conference for Engineering. A study on leveraging social networking to enhance academic performance and success.
A novel approach to teaching Boolean algebra through an interactive smartphone game, implementing the Quine-McCluskey algorithm.