I am a PhD student at the University of Warwick under the Data Science, Systems and Security theme of the Department of Computer Science. I obtained a First-Class Master's degree in Computer Science from the University of Warwick in 2020.
One of the most popular electoral methods is the plurality method: the candidate with the most votes wins the election. An example of this system is First-Past-The-Post (FPTP). FPTP is often criticized for producing results which are unrepresentative of the votes cast by its participants. Ranking-based electoral methods provide a fairer and more representative result compared to plurality methods. Examples include Condorcet methods, which are often referred to as the fairest electoral methods; these methods elect the most socially optimal candidate who beats every other candidate in a series of pairwise comparisons. Electronic voting (e-voting) systems that are End-to-End (E2E) verifiable and self-enforcing (not requiring the need for any tallying authorities) have been proposed in literature for plurality methods, however there is a lack of such proposals for ranking-based electoral methods. As such my research focuses upon the design and development of self-enforcing, E2E verifiable e-voting systems for ranking-based electoral methods.
My research is being supervised by Professor Feng Hao.
Conferences I have attended include:
I have assisted teaching as a lab tutor in the following modules:
CS118 Programming for Computer Scientists (2019-2020)
CS141 Functional Programming (2019-2020, 2020-2021)
CS263 Cyber Security (2020-2021)