Explaining BERT model predictions with LIME for disaster tweets
A case study on using BERT and LIME to classify disaster tweets, interpret model behavior, and communicate both the strengths and limits of the system.
Portfolio
Noor Aldeen Almusleh
I am an AI/ML engineer and researcher with an MSc in AI (Distinction) from the University of Bath and over four years of experience across academia and industry. I am specialising in reinforcement learning, computer vision, and statistical modelling, applying them to projects like generative modelling for stroke-ordered drawing and chemical recipe optimisation (e.g. for MXene).
My broader technical interests span MLOps, control and optimisation, reinforcement learning, quantitative analysis, natural language processing, computer vision, and computer graphics. This site showcases some examples of my end-to-end ML work and research, demonstrating my skills and interests across the diverse fields I am working on.
Writing
Selected articles and case studies
Selected writing and technical case studies, including the current published post on model explainability with BERT and LIME.
Projects
Selected machine learning and research projects
A compact view of applied machine learning, computer vision, and research-oriented work drawn from the broader portfolio.
Optimising MXene Stability with Deep Q-Learning
A deep Q-learning agent trained in a custom environment to optimize MAX-to-MXene synthesis and enhance stability, leveraging a novel, custom-compiled dataset from the literature. The project will end with experimental validation of the agent's performance.
Automating Repetitive Line Drawing from a Reference and a Character Design
A PPO agent trained in a custom simulated environment to imitate in-between artists and draw line art from a reference and a character design.
Image Fusion for Cloud Removal from Satellite Images
Benchmarking AI techniques from existing literature to compare their baseline results. The project also is focusing on testing and adapting novel image fusion techniques derived from other fields to evaluate their direct application in satellite image processing.
Quantum Machine Learning with Qiskit
Hands-on quantum machine learning work using Qiskit, covering classifiers, optimization methods, and applied experimentation with quantum circuits.