- Naval Vessel Classification (CS 231n): Achieved 92.54% accuracy with Google's Vision Transformer and 90.35% with Microsoft's Swin Transformer after fine-tuning on 8,908 ship images across five categories using a learning rate of 5e-5.
- Ship Arrival Regression Analysis (OIT 272): Developed predictive models for Saqr Port in Ras Al Khaimah using AIS data to reduce costly demurrage fees. Implemented regression trees and random forest models to analyze arrival patterns across 904 vessels.
- Network Security (CS 155): Implemented port scanning and ARP spoofing detection systems using Go. Created a DNS spoofing tool that hijacks HTTP connections through a three-stage attack: ARP spoofing, DNS response manipulation, and HTTP request interception. Developed using gopacket for packet manipulation and analysis.
- Web Security (CS 155): Created and defended against seven web attack vectors including cookie theft, cross-sit request forgery, SQL injection, and profile worms in a Node.js/SQLite application. Implemented security measures including CSRF tokens, cookie signing, and input sanitization.
- Quantum Mechanics & Free Will (APPPHYS 363): Explored how quantum mechanics impacts determinism. Examined how quantum indeterminacy affects prediction models compared to classical physics, using Conway's Game of Life to depict emergent properties and analyzing implications for human agency.