Jack West, a graduate student here at Loyola, submitted a paper to the Information Processing and Sensor Networks (IPSN) conference in January of 2021. His advisors on the work were Professor Klingensmith and Professor Thiruvathukal. The paper discussed the need for better randomness within sensor networks. Moonshine, an algorithm created by Jack, was the solution. The algorithm utilized the asymptotic equipartition property in a novel way to create more random bitstreams; the algorithm also discarded bits, which increased the randomness.
The paper was accepted at IPSN 2021. The conference is one of the most prestigious conferences in Jack's research area. Moonshine was also accepted into a graduate research student competition led by ACM. Which meant he had to give two presentations, one for the research competition and one for the conference itself. Both had different time lengths and requirements. The research competition was e gave two presentationsa poster presentation and a talk; ACM leaders in their respective areas judged both presentations. He also competed with students from UCLA, Boston, Alabama, and UoI. After the conference was completed, he was also voted best talk of his section by the leading chair, and Jack also placed 3rd in the research competition.
For more information on the IPSN Conference, please visit here.
To read Jack's paper, please visit Moonshire: An Online Randomness Distiller for Zero-Involvement Authentication.
To learn more about Jack and to keep updated on his work, check out his website.