Data Science
Race Walking Watcher.
Data Science, Humanitarian
Use computer vision to identify athletes in a competition
Computer Vision Project that detects the legality of a race walking athlete.
Standardizing race-walking judgments through data-driven visualization.
Our product generates Powerpoints to analyze ref calls from a database of sports footage.
Humanitarian
Race Walk Optimization: An android app that delivers instant loss of ground contact analysis for immediate form correction for race walkers.
Research
Supporting clinical decisions utilizing machine learning and radiology notes.
Corporate Sponsored
Implementing a secure messaging service for client communication
Entrepreneurial
A new way to track workouts.
Interdisciplinary
A triply periodic minimal surface structure within the walls of the Drexel Rocket Team's rocket nozzle will allow for optimized cooling of the nozzle, allowing for a longer run time of the engine to propel the project toward its goal of reaching the Kármán Line.
Establishing a standardized requisition process that allows teams to efficiently track, review, and approve new hire requisitions in alignment with organizational budget controls.
Research - NLP/philosophy/AI
Research Project - vision-language image generation models have enabled the creation of visually realistic and semantically rich images
Case study research on fashion communities on popular social media platforms.
Let's Buld the Best Possible Retirement Planner
Gaming
Relive arcade classics with a fresh coat of paint in this platforming marvel!
Computer Security and Technology
Pentesting Drexel devices and RFID testing
Garmin watch app for training, judging, and competing race walkers
Safeguardr is an AI driven data analysis tool for security professionals
A Machine Learning Intrusion Detection System
Extracting intelligence from open sources to secure IoT/SCADA landscapes.
SCALED (Structured Comparison and Analysis of ML Experimental Design) Choices for Clinical Outcome Prediction
A comprehensive security assessment of a highly safe-guarded department at Drexel University, targeting digital and physical vulnerabilities to bolster defenses against malicious actors.
Secure Scan: Instantly check files and links for threats—before they do damage.
