George T. Hall
I'm a PhD student at the University of Sheffield supervised by
I'm a member of the
team within the
I have been conducting theoretical analysis of algorithm
configurators [3,4] and have used our insights to design faster
algorithm configurators . Read more about my work.
You can email me at gthall1 at sheffield dot ac dot uk. Google Scholar.
I started here in September 2017 after completing a BSc in Computer Science and Mathematics at the University of York. During my undergraduate studies, I spent a year working in the High Performance Assembly Group, the group responsible for developing algorithms and software tools for genome analysis at the Sanger Institute, where I co-authored [1,2].
 Hall, G. T., Oliveto, P. S., & Sudholt, D. (2020). Fast perturbative algorithm configurators. Proceedings of the 16th Parallel Problem Solving from Nature (PPSN) Conference (19-32). [arXiv]
 Hall, G. T., Oliveto, P. S., & Sudholt, D. (2020). Analysis of the performance of algorithm configurators for search heuristics with global mutation operators. In Proceedings of the Genetic and Evolutionary Computation Conference (823–831). Nominated for a best paper award in the track "General Evolutionary Computation and Hybrids" [arXiv]
 Hall, G. T., Oliveto, P. S., & Sudholt, D. (2019). On the impact of the cutoff time on the performance of algorithm configurators. In Proceedings of the Genetic and Evolutionary Computation Conference (907-915). [arXiv]
 Stammnitz, M. R., ... , Hall G., ... , & Beck, A. (2018). The origins and vulnerabilities of two transmissible cancers in Tasmanian devils. Cancer cell, 33(4), 607-619.
 Ye, K., Hall, G., & Ning, Z. (2016). Structural variation detection from next generation sequencing. Next Generation Sequencing & Applications, 1(007).