About

Mr. Tanzimul Fahim is currently serving as a Teaching Assistant for the Cyber Defense Education Center at the University of North Carolina at Pembroke (UNCP). In addition to his teaching role, he is actively involved in several research projects, including an investigation into Mobile Driving Licenses (mDL) and the exploration of Knowledge Graph Link Prediction models. As a Research Assistant, he has played a crucial role in advancing these projects, focusing on both practical applications and theoretical research.

Fahim holds the Certified in Cybersecurity credential from the International Information System Security Certification Consortium (ISC)², demonstrating a deep understanding of critical security domains such as network defense, cryptography, and risk assessment. His research focuses on the intersection of artificial intelligence and cybersecurity, specifically applying machine learning models to create Synthetic Cyber Knowledge Graphs and detect advanced persistent threats (APTs). He has also been exploring various models for Knowledge Graph Link Prediction, aiming to predict hidden relationships between entities within large-scale data graphs. This research has applications in recommendation systems, data mining, and improving cybersecurity through enhanced data connectivity.

Fahim has worked on artificial intelligence and machine learning applications. In one of his projects, he created a Synthetic Cyber Knowledge Graph (SCKG) by leveraging LangChain and OpenAI’s GPT-4 Turbo to automate the extraction and structuring of cybersecurity-related entities and relationships. He developed custom pipelines for entity extraction, relationship mapping, and synthetic data generation, enabling the simulation of complex cyberattack scenarios and the identification of vulnerabilities. His work also involved utilizing natural language processing (NLP) models to interpret security-related contexts, creating a system capable of scaling large datasets in a short time to enhance cybersecurity analysis.