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20242026
most citedAugmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements

1 citations · 2 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CR2025

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…

cs.DB2025

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…

cs.CR2025

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…

cs.SE2025

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…

eess.SY2025★ 1 cited

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…

cs.SE2025★ 1 cited

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements

Seyed Moein Abtahi, Akramul Azim

This study examined code issue detection and revision automation by integrating Large Language Models (LLMs) such as OpenAI's GPT-3.5 Turbo and GPT-4o into software development wor…

cs.LG2025

Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing

Amin Avan, Akramul Azim, Qusay Mahmoud

Soft real-time applications are becoming increasingly complex, posing significant challenges for scheduling offloaded tasks in edge computing environments while meeting task timing…