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About

Throughout my career, I have demonstrated a profound commitment to developing individuals across various academic and professional settings. I imparted essential skills in data science and analytics, teaching modules on database management, big data analysis, Data mining, and project management where I have provided students with essential skills in R and Python programming, SQL, Hadoop and Apache Spark, JIRA, Tableau and Access. Some of these students have gone ahead to work as data analysts, DB administrators, and Business Analyst for companies within the UK and abroad. I have mentored and supervised numerous master's and undergraduate projects, guiding students in analysing datasets and utilizing machine learning models to predict various health conditions and providing clustering analysis for the retail sector with publications in peer-reviewed open-source journal outlets. Additionally, as a PhD Tutor at The Brilliant Club, I designed and delivered courses to inspire young minds in STEM subjects, fostering a passion for learning and academic excellence. My extensive experience as a lecturer and facilitator underscores my dedication to nurturing talent and empowering individuals to excel in their academic and professional endeavours.
My involvement in AI research spans various domains, with a particular focus on healthcare applications. I have contributed to exploring AI in Emergency Medicine to underscore the immense potential of collaborative efforts between domain experts and data scientists. Through collaborative endeavours, I have created a framework to bridge the gap between AI research and clinical practice and provided key insights to support clinicians and researchers in navigating the complexities of AI model development in emergency care settings. One of my seminal works involves the development of a Convolutional Neural Network (CNN) aimed at classifying infrared thermal images of fractured wrists in paediatrics. This groundbreaking study leverages the power of CNNs to interpret infrared thermal images, offering a promising screening tool for diagnosing wrist bone fractures in paediatric patients. We achieved remarkable sensitivity and accuracy rates through meticulous data analysis and model development, paving the way for enhanced diagnostic capabilities in paediatric emergency care settings. I have also developed a model for the early prediction of stroke disease using ML models such as Decision trees and logistics regression based on using BMI and age variables with the highest principal components. I have participated in numerous data mining and analytics projects outside the healthcare industry, including the education sector and the retail sector using unsupervised clustering techniques such as GMM, DBSCAN, BIRCH and KNN. This contribution has been published in peer-reviewed open-sourced journal outlets and reputable conferences around the UK and abroad.
I have contributed to the wider research community by providing very thorough reviewed process for different journal outlets such as Electronics, Algorithms, Diagnostics, computation, computers and Multimodal technologies and interaction. For example, I was part of the reviewers for a work that proposes a systematic framework for extracting multiomics biomarkers associated with breast cancer before and after menopause, which uses MultiSig CV, PCA and SMOTE for the analysis of DNA methylation, gene expression, and copy number alteration data using a structured pipeline encompassing preprocessing, addressing class imbalance, dimensionality reduction, and classification. I also reviewed another body of work that evaluates the use of deep learning (DL) applications in gastric neoplasia detection from endoscopic images.

Lecturer

Teaching

College of Business, Technology and Engineering

Digital Analytics and Technologies

Courses

Msc Computing
Msc Big Data Analytics
Msc Data analytics with Banking and Finance
Degree Apprentices
Foundations in Computing

Modules

Advanced Data Management Project
Introduction to Databases and Big Data
Healthcare Knowledge and Data Management
Ï㽶ÊÓƵ Skills for Computing
Study Skills and Project Management
Databases (Foundation)
Reflective Practice for Apprentice Professional Development

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• Industry and Innovation Ï㽶ÊÓƵ Institute

Publications