Rajkarn Singh is a third-year PhD candidate at the School of Informatics, University of Edinburgh, and was an enrichment student at The Alan Turing Institute in 2019. Before starting his doctorate, Rajkarn completed his Masters from Indian Institute of Technology Madras, and has also worked with Samsung Software Engineering Lab in India.
Rajkarn’s primary interest lies in mobile and wireless networks, particularly in optimising the future generation of mobile technologies by making use of advancements in the fields of artificial intelligence and data science. He is also interested in privacy-preserving mobile data analytics.
5G mobile networks are seen as the key enabler of Information and Communication Technology (ICT) industry. They are seen as a potential solution that not only serve mobile broadband networks, but also various different forms of communication e.g., vehicular networks, automobile industry, Internet of Things etc. To this end, Rajkarn’s research focuses on applying latest machine learning techniques and data science tools to optimise future generation mobile networks.
In 5G networks, major focus is either on spectrum efficiency (i.e. making best possible use of the available frequency bands) or on energy efficiency (i.e. reducing the carbon footprint caused by the operation of networks). With the effective use of latest artificial intelligence techniques, Rajkarn aims to solve network related issues and optimise them. He aims to exploit Software Defined Networks and Network Function Virtualization to impart intelligence into networks.
Rajkarn is also interested in exploring the privacy aspects in data obtained by mobile networks. Although mobile network data can help in optimising the future networks, it can also be used to obtain sensitive user information. Hence, it is important develop techniques that encourage ethical use of data and is another research goal that Rajkarn is interested in pursuing along with mobile network data analytics.