1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Uncertainty measurement for complex event prediction in safety-critical systems
Maria J. P. Peixoto, Akramul Azim
Complex events originate from other primitive events combined according to defined patterns and rules. Instead of using specialists' manual work to compose the model rules, we use…