Overview
Key publications
Research funding
Supervising & teaching
Career
Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

Key details

Areas of expertise

  • Artificial intelligence
  • Machine Learning
  • Business intelligence
  • Statistical modelling
  • Information Theory

Available to supervise research students

Available for media queries

About Nader Chmait

Nader is a postdoctoral research fellow at Institute for Health & Sport 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 and statistical modelling for decision-making under uncertainty
  • data science and analytics for sports. 

Qualifications

  • PhD in Artificial Intelligence, Monash University, Australia, 2017

Key publications

Year Citation
2017 Chmait, N. (170101). Understanding and measuring collective intelligence across different cognitive systems: An information-theoretic approach Paper presented at IJCAI International Joint Conference on Artificial Intelligence (pp. 5171-5172).

doi: 10.24963/ijcai.2017/745
2017 Chmait, N., Dowe, D. L., Li, Y. F., & Green, D. G. (170101). An information-theoretic predictive model for the accuracy of AI agents adapted from psychometrics Paper presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 225-236).

doi: 10.1007/978-3-319-63703-7_21
2016 Chmait, N., Dowe, D. L., Li, Y. F., Green, D. G., & Insa-Cabrera, J. (160101). Factors of collective intelligence: How smart are agent collectives? Paper presented at Frontiers in Artificial Intelligence and Applications (pp. 542-550).

doi: 10.3233/978-1-61499-672-9-542
2015 Chmait, N., Dowe, D. L., Green, D. G., & Li, Y. F. (150101). Observation, communication and intelligence in agent-based systems Paper presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 50-59).

doi: 10.1007/978-3-319-21365-1_6

Year Citation
2021 Chmait, N., & Westerbeek, H. (211208). Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists. Frontiers in Sports and Active Living, 3

doi: 10.3389/fspor.2021.682287
2020 Chmait, N., Westerbeek, H., Eime, R., Robertson, S., Sellitto, C., & Reid, M. (200701). Tennis influencers: The player effect on social media engagement and demand for tournament attendance. Telematics and Informatics, 50

doi: 10.1016/j.tele.2020.101381
2020 Chmait, N., Robertson, S., Westerbeek, H., Eime, R., Sellitto, C., & Reid, M. (200401). Tennis superstars: The relationship between star status and demand for tickets. Sport Management Review, 23(2), (330-347).

doi: 10.1016/j.smr.2019.03.006
2019 Dowe, D. L., & Chmait, N. (190101). Game theory and Artificial Intelligence in just preservation. Animal Sentience, 4(27),

doi: 10.51291/2377-7478.1555
2019 Chmait, N., Dowe, D. L., Green, D. G., & Li, Y. F. (190101). Simulating exploration versus exploitation in agent foraging under different environment uncertainties. Behavioral and Brain Sciences, 42

doi: 10.1017/S0140525X18001954
2017 Hernandez-Orallo, J., Baroni, M., Bieger, J., Chmait, N., Dowe, D. L., Hofmann, K., Martinez-Plumed, F., Strannegrd, C., & Thorissons, K. R. (170901). A new ai evaluation cosmos: Ready to play the game?. AI Magazine, 38(3), (66-69).

doi: 10.1609/aimag.v38i3.2748

Research funding for the past 5 years

Please note:

  • Funding is ordered by the year the project commenced and may continue over several years.
  • Funding amounts for contact research are not disclosed to maintain commercial confidentiality.
  • The order of investigators is not indicative of the role they played in the research project.

Book a Court Analysis (GIG B)
From: Tennis Australia
For period: 2018-2018
 Not disclosed
Using Technology to Measure Tennis Playing Behaviour
From: The International Tennis Federation, UK
Other investigators: Dr Damian Farrow, Aspr Tze huei Lai
For period: 2018-2018
 Not disclosed

Sport Business Intelligence: A consumer and business decision-making model for sport.
From: Tennis Australia, ISEAL
Other investigators: Prof Hans Westerbeek, Aspr Rochelle Joyce, Aspr Camilla Brockett
For period: 2017-2020
 $182,405

Supervision of research students at VU

Available to supervise research students

Available for media queries

Careers

Details of this Researcher's career are currently unavailable.