Hind Abdallah

Hind AbdallahHind Abdallah

University of Western Sydney

Biography

My name is Hind Abdallah and I am 21 years old. I am a third year student, studying Bachelor of Science (Mathematical Science) at the University of Western Sydney (UWS). I enjoy studying and working on all areas in mathematics, especially statistics. I have a high level interest in all aspects of statistics, especially interpreting the meaning of results generated by statistic programs, and working to find the best possible method that applies to the specific data. I have recently completed my capstone unit on a statistics project, which has been an integral part of my current semester. I was required to prove the effectiveness of the linear mixed models method on the data collected from a previous study, when compared to other statistical methods. Linear Mixed Model method is a large area in statistics, and is not taught in any unit in University Of Western Sydney, requiring in depth research and capability to self-teach.

To complete this Biography I would like to summarize my hobbies and interests outside of the academic arena. I enjoy sharing a big part of my spare time with my family. In addition, I also enjoy living an active lifestyle with healthy eating and regular exercise, not limited to the gym but also through regular walks with my husband.

Aggregating and sampling rankings

The task of aggregating complete or partial rankings to form an overall rankingis a common task when evaluation is needed, but difficult. For example, theawarding of grants relies on many partial manual assessments which are thenaggregated to form a complete ranking. There are camps from Statistics and Computer Science that have investigated this problem, but unfortunately, theyseem to be unaware of each other. This project will investigate the state of the art of rank aggregation in statistics and computer science and evaluate themethods in terms of accuracy, scalability, speed and flexibility. We will perform the investigation using simulated and real data, such as gene expression levelsand votes from the Eurovision song contest.

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