1 citations · 1 across the 8 of their papers we have counts for
9 papers
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
Md Hasan Saju, Maher Muhtadi, Akramul Azim
The rapid advancement of Large Language Models (LLMs) presents new opportunities for automated software vulnerability detection, a crucial task in securing modern codebases. This p…
SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM System
Md Hasan Saju, Austin Page, Akramul Azim +3
Security Information and Event Management (SIEM) systems are essential for large enterprises to monitor their IT infrastructure by ingesting and analyzing millions of logs and even…
From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search
Seyed Moein Abtahi, Majid Fekri, Tara Khani +1
Modern semantic search and retrieval-augmented generation (RAG) systems rely predominantly on in-memory approximate nearest neighbor (ANN) indexes over high-precision floating-poin…
Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching
Seyed Moein Abtahi, Akramul Azim
Large Language Models (LLMs) show promise in generating firmware for embedded systems, but often introduce security flaws and fail to meet real-time performance constraints. This p…
WALL: A Web Application for Automated Quality Assurance using Large Language Models
Seyed Moein Abtahi, Akramul Azim
As software projects become increasingly complex, the volume and variety of issues in code files have grown substantially. Addressing this challenge requires efficient issue detect…
Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging
Seyed Moein Abtahi, Akramul Azim
The rapid advancements in autonomous vehicle (AV) technology promise enhanced safety and operational efficiency. However, frequent lane changes and merging maneuvers continue to po…