Every year some of our undergraduate students produce outstanding work that exceeds expectations, by participating in summer research projects and/or as part of their coursework. In an effort to celebrate and promote their achievements, the maths team from the School of IT has organised the Deakin Excellence in Undergraduate Mathematics Program, which consists of two […]
Bronze medal win in IEEE CEC/GECCO 2021 Competition on “Evolutionary Computation in the Energy Domain: Smart Grid Applications”
Vicky and Rasul have recently won a Bronze medal in IEEE CEC/GECCO 2021 Competition on “Evolutionary Computation in the Energy Domain: Smart Grid Applications”. The competition has two independent tracks, each tackling an optimisation problem in the energy domain. Participants of the competition could use different evolutionary algorithms for each track (if they participate in […]
ARC Discovery Project 2021 – Gleb Beliakov, Marek Gagolewski and Simon James from the maths team with colleague Enrique Herrera-Viedma from University of Granada. This project addresses a key issue in automated decision making: explaining how a decision was reached by a computer system to its users. Its aim is to progress towards a new […]
Funded by DSTG ALGORA Vicky Mak-Hau and Sergey Polyakovskiy This project aims to develop a highly intelligent planning tool that integrates simulation, optimisation and data analysis for the daily scheduling of training lessons while, at the same time, allocate limited resources under complex resource restrictions.
ARC Linkage Projects; Industry partner: Flag Explore Yong Xiang, Wanlei Zhou, Gleb Beliakov and Longxiang Gao With the rapid growth of communication networks and the use of advanced multimedia technology, digital multimedia data can be easily copied, manipulated and distributed. This has led to strong demand for new techniques to prevent illegal use of copyrighted […]
ARC Discovery grant Julien Ugon, Marco Lopez-Cerdá, Nadeza Sukhorukova, Vera Roshchina, Jean-Pierre Crouzeix and Nira Dyn This project aims to solve open problems in multivariate and piecewise polynomial approximation – two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, this project intends to […]