Low-diameter Networks for Applications on High Performance Computing and Communication Networks

The purpose of this project is to explore techniques to build low diameter graphs, with emphasis on diameter three, that maximise the degree-diameter problem for degrees that are representative of current and foreseeable network technology.

Matthew Cochran

Deakin University

Matthew Cochran is a second-year undergraduate student at Deakin University, where he is pursuing a Bachelor of Computer Science with a major in Data Science. He enjoys mathematical reasoning and algorithmic thinking, and applying both to solve complex problems across domains including data science, artificial intelligence, and pure mathematics. Alongside his academic commitments, Matthew finds fulfilment in his position as a Software Engineer at Render Networks.

You may be interested in

Saakshi Singh

Saakshi Singh

Brauer Monoid Factorisations using Machine Learning Techniques
Minh Thu Nguyen

Minh Thu Nguyen

Modelling Impact Resistant Materials for use in Protective Gear
Joel Woodfield

Joel Woodfield

Data-Efficient Reinforcement Learning
Bernice Laitly

Bernice Laitly

Goodness-of-Fit Diagnostics for Capture-Recapture Models
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.