- Distributed and Intelligent Systems
- Health and Social Care Modelling
About me
Qualifications:
2025 PhD Computer Science; University of Westminster
2023 Level 7 Special Study Supporting Learning in Higher Education
2022 MSc (Hons) Big Data Technologies; University of Wesminster - Distinction
2002 MSc (Hons) Finance and Economics; London School of Economics
2001 BSc (First Class Honours) Banking and International Finance; Bayes Business School
2018 BSc (Hons) Combined Stem; Open University
Short Summary
LLMs training, Stochastics, PyTorch/TensorFlow, pandas/NumPy, prompt engineering, Docker/Kubernetes, cloud platforms, scikit-learn, XGBoost/LightGBM, MLflow, CNNs, SQL, Linux, Git, Python, Java, HTML/CSS, Jupyter, AI, Tableau, Client-Server Model, Non-Linear Analysis, Linear Programming, Econometric Modelling, Minimax optimization, Applied Mathematics, Forecasting, Financial Economics, Trading Strategy, Soft Skills.
Teaching
Module Leader for Machine Learning - Level 7
· Applied Mathematics - Level 4
· Mathematics for Computer Science - Level 4
· Advanced Client Server Architecture - Level 6
· Module Leader for Linux - Level 7
· Module Leader for Databases - Level 7
· Java - Level 5
· Business Analytics and Operational Research - Level 5
· Website Development - Level 4
· Python - Level 4
HESA Number: 2110836794463
2023 Level 7 Special Study Supporting Learning in Higher Education
Research
Research
Fuzzy Amplitudes and Kernels in Fractional Brownian Motion: Theoretical Foundations
DOI: 10.3390/sym17040550
Fuzzy Fractional Brownian Motion: Review and Extension
DOI: 10.3390/a17070289
Clustering stock price volatility using intuitionistic fuzzy sets
DOI: 10.7546/nifs.2022.28.3.343-352
Essay on Volatility Clusters and Time Series Prediction
DOI: 10.1109/IS57118.2022.10019619
Publications
For details of all my research outputs, visit my WestminsterResearch profile.