"Research is what I'm doing when I don't know what I'm doing."
-Wernher von Braun
I graduated from the University of Birmingham with a BSc in Physics in 2015, an MSc in Computer Science in 2016, and a PhD in 'The Application of Blockchain Technology in the Railway Industry' in 2021. My expertise in both physics and computer science has led me to my current role as a Research Fellow, where I continue to study the application of computer science to the railway industry. My research focuses on the intersection of blockchain technology, machine learning, and data integration, as I strive to advance our understanding and drive innovation in this field.
Here is a list of projects I am currently working on.
Project STUB is a research effort funded by the TruBlo consortium that aims to use blockchain technology to bring smart ticketing to the transportation industry. The project explores a unique approach that combines an ontology with a blockchain to create a new data structure. The goal of Project STUB is to demonstrate the feasibility of using blockchain technology to revolutionize the way we handle ticketing in the transport sector.
Project In2Track3 is a research project that focuses on using machine learning to predict the degradation of track geometry on two sections of railway in Great Britain. It involves collaboration with Network Rail and is part of the Shift2Rail initiative. The project incorporates various data sources, including weather data, geology data, and information about the track, to develop a machine learning model that can accurately predict track degradation. The goal of Project In2Track3 is to improve track maintenance and overall rail infrastructure management through the use of advanced data analysis and machine learning techniques.
Project MoBS is a research project that focuses on the development of blockchain decision frameworks. It aims to help potential users determine if blockchain technology is the right choice for their needs or if an alternative solution should be considered. The project explores a departure from traditional decision tree frameworks and instead proposes the use of score-based approaches to make technology choices. The ultimate goal of Project MoBS is to provide practical guidance for individuals and organizations looking to implement blockchain technology.
Project New Normal is a research project that aims to understand the impact of the COVID-19 pandemic on rail usage. The project involves a survey of rail users in Great Britain and a similar survey conducted by a partner university in China. The survey asked participants about their railway usage before, during, and after the pandemic. The results of the survey are being analyzed to identify changes in behavior and establish trends in rail usage. The goal of Project New Normal is to gain a deeper understanding of how the pandemic has affected rail usage and inform future policy and planning decisions in the railway industry.
Project UoB Transport is a research project that aims to understand travel patterns of staff and students at the University of Birmingham. The project involved a survey of individuals to gather information about how they travel to and from work. The data collected is being analyzed to identify patterns and establish trends in travel behavior. The goal of Project UoB Transport is to gain insights into the travel habits of the university community and inform future transportation planning and policy decisions.
Coming soon!