The global Artificial Intelligence (AI) in healthcare market size is expected to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026; it is projected to grow at a compound annual growth rate (CAGR) of 44.9% during the forecast period. The machine learning technology is expected to hold the major share of the AI in healthcare market in 2021. Find out more on how you can tab in to healthcare market using AI with Dr. Nabeel Ali Khan. This will help you kickstart your career in the healthcare Industry using AI.
Dr. Nabeel Ali Khan has experience in working as a faculty member and researcher in well-known organizations including the Center for Advanced Research in Engineering, Foundation University Islamabad, and Qatar University. His current research interest includes the design of advanced signal analysis techniques for non-stationary signals and their application for the classification of non-stationary signals, e.g. EEG signals. He has published 35 research papers in impact factor journals. His research has received more than 600 citations.
Now-a-days I am working as Assistant Professor of computer science at the Department of Computer Science of the Islamia University of Bahawalpur (IUB), Punjab, Pakistan. I have done PhD in Computer Science from Non-Linearity and Complexity Research Group (NCRG) of Aston University Birmingham, United Kingdom and my PhD research project was focused on developing machine learning based techniques for the analysis of high-dimensional proteomic datasets.
I have also experience of working on industrial research projects related to predictive analytics like "Demand Forecasting for National Health Services (NHS) Emergency Departments of West Midlands Hospitals in the United Kingdom" and "Probabilistic Modelling of Blood Glucose via Eye Parameters". During my stay at Aston University in United Kingdom, I also have experience of research collaborations with other fellows at Aston University. I have also worked as a part time research associate on a project where our obejctive was to perform analysis of HIP joint data (provided by National Joint Registry(NJR) of England, Wales and Northern Ireland) in order to develop a patient specific recommendation system.
My research interests are in the areas of machine learning and statistical pattern recognition in general but in the recent years, I have developed an interest of applying machine learning techniques to health sector problems ranging from proteomic and genomic analysis to patient specific data analysis. I would also love to apply my machine learning expertise in social media anlytics and natural language analytics.
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