Rawan Albarakati

تخصص الذكاء الاصطناعي · دفعة 2025

A Textual Analysis of Agricultural Research

Students will work at the intersection of data science, policy, and food systems to analyze critical agricultural research shaping the science of food, agriculture, and the environment in the United States. Using natural language processing and machine learning, the team will explore federal grant records to uncover how agricultural research has addressed issues like food access, food systems innovations, and environmental stewardship over time. The team’s work will contribute to a grant proposal for the USDA and provide valuable tools for future researchers. This project is a unique opportunity to develop transferable data science skills while contributing to impactful research on pressing food system challenges.

المشرف: Zishan Shao

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2024

Deep Learning-Based Fault Detection System for Structural Defects in Nano-Quadcopters

Detecting faults in nano-quadcopters is critical to ensuring safety and performance. This study proposes a deep learning-based system for detecting structural defects in real time. Utilizing advanced feature engineering and dimensionality reduction techniques, the proposed model offers a reliable and efficient solution for ensuring the integrity and functionality of nano-quadcopters in various applications with high accuracy and low inference time.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2023

ProSide: Predictive Side Effects via Drug-Drug Interactions and Indications

Our project, ProSide, centered on "drug repurposing”. Drug repurposing refers to the innovative use of an existing drug, initially formulated for one medical condition, to treat a different ailment. We have engineered an AI-centric model using the Relational Graph Convolutional Neural Network to map the intricate relationships between drugs, the diseases they address, and the potential side effects.

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2023

PurePix: Every Pixel Has a Story

Our project PurePix is a solution to the problem of bias in cropping images in the X (Twitter) application.

اطّلع عليه في تقرير البرنامج (PDF)