Daniel Angus

Daniel joined Thinking Systems as a research fellow studying navigation in conceptual spaces. He completed a Bachelor of Engineering (Electronics and Computer Systems) and a Bachelor of Science (Research and Development) as part of Swinburne University’s Vice-Chancellors research scholarship program. Daniel’s research interests include the design and application of Computational Intelligence techniques to difficult Engineering and Science problems, in particular those that contain high numbers of dimensions and conflicting objectives. In his PhD, ‘Niching Ant Colony Optimisation’, he studied the effect of population diversity on ant-inspired algorithm efficacy, completed at the Intelligent Systems Lab, Swinburne University, Melbourne.