activity
20242026
most citedEvaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model

Noujoud Nader, Stefanos Giaremis, Clint Dawson +3

Storm surge forecasting remains a critical challenge in mitigating the impacts of tropical cyclones on coastal regions, particularly given recent trends of rapid intensification an…

cs.LG2026

HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks

Noujoud Nadera, Hadi Majed, Stefanos Giaremis +4

The coastal regions of the eastern and southern United States are impacted by severe storm events, leading to significant loss of life and properties. Accurately forecasting storm…

cs.DC2025★ 3 cited

LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks

Noujoud Nader, Patrick Diehl, Steve Brandt +1

Large Language Models (LLMs), such as GPT-4 and DeepSeek, have been applied to a wide range of domains in software engineering. However, their potential in the context of High-Perf…

cs.SE2024★ 6 cited

Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust

Patrick Diehl, Noujoud Nader, Steve Brandt +1

This study evaluates the capabilities of ChatGPT versions 3.5 and 4 in generating code across a diverse range of programming languages. Our objective is to assess the effectiveness…

cs.LG2024★ 4 cited

Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy

Stefanos Giaremis, Noujoud Nader, Clint Dawson +3

Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to w…