Adiona was co-founded by Quang Huynh, a UNSW PhD candidate in Genetic Optimisation Algorithms, and Richard Savoie, an experienced professional Engineer and Commercialisation Executive with highly cited global patents.  We apply new and exciting research in the fields of optimization mathematics, network theory and modeling, machine learning, and artificial intelligence to real-world mobility problems. We bring these solutions directly to our customers so they get the benefit of world-first, bleeding-edge R&D output. Our efforts have been recognised by multiple competitive grants from the Australian and New South Wales governments.

Quang's research includes:

Journal articles

Chand S; Huynh Q; Singh H; Ray T; Wagner M, 2018, 'On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems', Information Sciences, vol. 432, pp. 146 - 163,

Huynh QN; Chand S; Singh HK; Ray T, 2018, 'Genetic Programming With Mixed-Integer Linear Programming-Based Library Search', IEEE Transactions on Evolutionary Computation, vol. 22, pp. 733 - 747,

Conference Papers

Huynh QN; Singh HK; Ray T, 2019, 'Investigating the use of linear programming to solve implicit symbolic regression problems', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 344 - 345, presented at ,

Huynh QN; Singh HK; Ray T, 2017, 'Improving Symbolic Regression through a semantics-driven framework', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, presented at ,

Huynh QN; Singh HK; Ray T, 2016, 'A semantics based symbolic regression framework for mining explicit and implicit equations from data', in GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 103 - 104, presented at ,

Huynh QN; Singh HK; Ray T, 2016, 'Optimum redesign of scale-free networks with robustness and cost considerations', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 529 - 536, presented at ,