Projects
LiDAR Phantom Point Simulation
Capstone Project – Spring 2025
- Developed a simulation environment using CARLA 0.10.0 and Unreal Engine 5 to replicate scenarios for autonomous vehicles.
- Processed LiDAR point cloud data to implement object detection and adaptive braking methods.
- Introduced probabilistic phantom point generation affecting LiDAR sensor accuracy and safety measures.
- Visualized raw LiDAR data using Open3D and Numpy for sensor accuracy evaluation.
AI-Generated Phishing Email Detection
Advanced Computer and Network Security – Spring 2025
- Generated phishing and legitimate datasets using OpenAI and Anthropic APIs with varied prompts.
- Developed preprocessing and vectorization methods to enhance machine learning inputs.
- Trained models (naïve Bayes, logistic regression, random forest) using sklearn and pandas.
- Measured model accuracy with custom test datasets for performance evaluation.