Dr Shelda Sajeev is a senior lecturer (Master of Business Information Systems), Research Fellow, and Machine Learning Cluster Lead at Torrens University's Centre for Artificial Intelligence Research and Optimisation. She has 13+ years’ experience in industry, teaching, and research with expertise in artificial intelligence, machine learning, medical image analysis, image processing, and data analytics. Her current research foci are building disease risk and diagnosis prediction models for cardiovascular disease, cardiac rehab, frailty and corneal disorders. In addition, she is  developing an automated model for predicting risk for 30-day and 12-month myocardial infarction and mortality among patients presenting to the emergency department with chest pain or suspected ACS using machine learning. Exploring methods to generate synthetic health data and techniques for validating them is another priority. She is also looking into optimisation techniques to improve medical image analysis, like image enhancement, segmentation, and feature engineering.

• Data Science
• Artificial Intelligence
• Machine Learning 
• Medical Image Anlaysis
• Image Processing
• Pattern Recognition
• Texture Analysis
• Feature Engineering 
• Disease risk prediction and diagnosis using machine learning (heart disease, diabetes, frality, cancer...)