City Layout Generation using Artificial Neural Networks and Procedural Generation created for my dissertation.
An Artificial Conversational Agent for Increasing Attentiveness in ADHD sufferers
This project investigates the robustness of humanoid locomotion policies trained with imitation learning and reinforcement learning in simulation. The primary research question is: how does a learned PPO controller respond to partial actuator or degree-of-freedom failure, and which joints are most critical for maintaining stable locomotion?
capstone paper for Master of Public Administration
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.
Code for my software development project @ UWE Bristol.
The public repository for my university undergraduate dissertation on the use of Swin Transformer GANs and how batch size and window size affect image quality
VASTA — an automated vulnerability assessment pipeline built from custom Python modules (no Nmap/ZAP/Nessus). Covers subdomain enumeration, live host detection, endpoint discovery, sensitive file discovery, directory brute-forcing, and active checks for XSS, SQLi, LFI, open redirect, and CORS misconfigurations. Validated against testfire.net
Computer Vision algorithm that detects pedestrians and calculates the distancing between them. This has been my dissertation project for Brunel University's Data Science and Analytics MSc.
AI-driven detection of 5G SA UE capability bidding-down attacks via a private SDR testbed, an NGAP proxy, and a supervised ML pipeline with SHAP explainability and a SHA-256 hash-chain forensic custody log.
Final year dissertation (UDC 2019) - Pharmaceutical image analysis using deep learning and Python
Dissertation: The use of the Django framework for the purpose of supporting the KRIM teaching load planning.
Spatio-Temporal Crop Health Assessment for the Jammu Region using Multi-Source Remote Sensing and Machine Learning
a hands-free musical experience controlled entirely by your nose and eye blinks! Designed to explore accessible music interaction, NoseHero lets you play a piano sandbox or jam along in a rhythm game using just your face.
A repository to document my Masters in Physics project
Framework for training, curating and explaining agents behaviors' at general problems.
CS39440 Major Project - Teaching Aid for Watercolour Painting
Dissertation project to create evolutionary algorithms to "solve" Pokemon team building
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