Ashiq Anjum is a Professor of Distributed Systems at the University of Leicester, UK. His areas of research include data intensive distributed systems, distributed machine learning models and high performance analytics platforms for continuous processing of streaming data. Prof. Anjum has participated in a number of large projects including the EU funded projects on healthcare and medical data analytics, distributed clinical intelligence and integration and iterative genome analytics. He has been investigating large scale distributed systems and analytics platforms for the LHC data in collaboration with CERN Geneva Switzerland for the last fifteen years. He has also been working with aerospace, rail and automobile companies to investigate how infrastructures and services can benefit from real time analytics by intelligently analyzing IoT data streams for accuracy, reliability, safety and capacity. He is closely working with a leading VR provider to commoditise AI driven digital twins and enable real time visualization of data models and distributed algorithms in a Virtual Reality environment.