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Dr Nader Chmait

PhD (Monash), MSs, BSc

Postdoctoral Research Fellow, ISEAL

Nader is a postdoctoral research fellow at the Institute of Sport, Exercise and Active Living (ISEAL) and Tennis Australia (TA).

He did his PhD in Artificial Intelligence. His current research interests are mainly focused on:

  • the applications of Machine Learning algorithms to the sports industry,
  • business modelling and decision-making under uncertainty,
  • data science and analytics for sports. 

Publications

Refereed journal articles

Nader Chmait and Khalil Challita (2013). Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem. Computer Science and Information Technology Vol. 1(3), pages 208-224, Horizon Research Publishing.

Conference presentations

Nader Chmait, David L. Dowe, Yuan-Fang Li and David G. Green (2017). An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics, Proceedings of the 10th International Conference on Artificial General Intelligence, Melbourne, Australia, Vol. 10414 of Lecture Notes in Artificial Intelligence (LNAI), Springer, Chapter 21.

Nader Chmait (2017). Understanding and Measuring Collective Intelligence across different Cognitive Systems, Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 Doctoral Consortium (Extended Abstract).

Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green and Javier Insa-Cabrera. (2016). Factors of collective intelligence: How smart are agent collectives?, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI-16), The Hague, The Netherlands, Vol. 285 of Frontiers in Artificial Intelligence and Applications, pp. 542-550.

Nader Chmait, David L. Dowe, David G. Green, and Yuan-Fang Li. (2015). Observation, communication and intelligence in agent-based systems, in J. Bieger, B. Goertzel and A. Potapov (eds), Proceedings of the 8th International Conference on Artificial General Intelligence, Berlin, Germany, Vol. 9205 of Lecture Notes in Artificial Intelligence (LNAI), Springer, pp. 50-59.

Appearances in the media

Jose Hernandez-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Angeliki Lazaridou, Fernando Martnez-Plumed, Claes Strannegard and Kristinn R. Thorisson (2017). A New AI Evaluation Cosmos: Ready to Play the Game?, To appear in the AI Magazine, Association for the Advancement of Artificial Intelligence.

Areas of expertise

  • Artificial Intelligence
  • Business intelligence
  • Data science
  • Machine Learning
  • Agent-based systems
  • Algorithms and heuristics.

Contact details

+61 3 9919 9912