Postdoctoral Researcher in Artificial Intelligence
Data Scientist
- Algorithmic information theory (Solomonoff-Kolmogorov complexity)
- Philosophy of AI
- Cooperative multiagent systems
- (Universal) intelligence tests
- Intelligent agents
- Swarm behaviours
- Agent-based communication and ad-hoc coordination
- Mathematical predictive modelling
- Network science: modularity and complexity of networks
- Consumer behaviour modelling
- Sports business intelligence
- Data science
- PhD. in Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2017
- Masters in Computer Sciences [honours list], Notre-Dame University, Louaize, Lebanon, 2012
(last updated: June 2018)
Recent:
- Postdoctoral researcher, Victoria University, Melbourne, since June 2017
- Data scientist, Tennis Australia HQ, Melbourne, since June 2017
Teaching:
- Business intelligence modelling FIT 5097.
- Computer models for business decision making FIT 2017.
- Intelligent systems FIT 5047
- System validation and verification, quality and standards FIT 5171
- Introduction to software engineering FIT 1010
- Data management FIT 1004
- Introduction to computer systems, networks and security MCD 4700
Other:
- Co-organiser of EGPAI-17 and AEGAP-18 workshops. Held in conjunction with IJCAI 2017/18, AAMAS 2018 AND ICML 2018.
- Volunteer position at Monash Swarm-intelligence Lab, Monash University, Clayton, Australia, 2013-2014
- Oracle database Programmer/Analyst, LOGOS S.A.R.L, 2009
(last updated: June 2018)
- Nader Chmait (2017). Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach, Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 Doctoral Consortium (Extended Abstract). https://www.ijcai.org/proceedings/2017/745.
- 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, Lecture Notes in Artificial Intelligence (LNAI), Melbourne, Australia, 2017, Springer [Winner of the 2017 Kurzweil Best Paper Prize]. https://doi.org/10.1007/978-3-319-63703-7_21.
- José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson (2017). A New AI Evaluation Cosmos: Ready to Play the Game?, AI Magazine, Association for the Advancement of Artificial Intelligence 38(3):66--69. https://www.aaai.org/ojs/index.php/aimagazine/article/view/2748.
- Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, and Javier Insa-Cabrera. Factors of collective intelligence: How smart are agent collectives? Proceedings of 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, The Netherlands, Vol. 285 of Frontiers in Artificial Intelligence and Applications, pp. 542-550. http://ebooks.iospress.com/volumearticle/44798.
- Nader Chmait, Yuan-Fang Li, David L. Dowe and David G. Green. A dynamic intelligence test framework for evaluating AI agents. In Proc. of the first Workshop on Evaluating General-Purpose AI (EGPAI 2016), European Conference on Artificial Intelligence (ECAI 2016), The Hague, The Netherlands. http://www.ecai2016.org/content/uploads/2016/08/W14-EGPAI-2016.pdf.
- Nader Chmait, David L. Dowe, David G. Green, and Yuan-Fang Li. Observation, communication and intelligence in agent-based systems., in Jordi Bieger, Ben Goertzel, and Alexey Potapov editors, In Proc. of the 8th International Conference on Artificial General Intelligence, Berlin, Germany, Vol. 9205 of Lecture Notes in Artificial Intelligence, pages 50--59. Springer, July 2015. http://link.springer.com/chapter/10.1007/978-3-319-21365-1_6.
- Nader Chmait, David L. Dowe, David G. Green, Yuan-Fang Li, and Javier Insa-Cabrera. Measuring universal intelligence in agent-based systems using the anytime intelligence test. Technical Report 2015/279, Faculty of Information Technology, Monash University, May 2015. http://www.csse.monash.edu.au/publications/2015/tr-2015-279-full.pdf.
- Nader Chmait and Khalil Challita. Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem. . Computer Science and Information Technology, Horizon Research Publishing, 1(3):208-224. http://www.hrpub.org/download/20131107/CSIT7-13500451.pdf
- Nouhad Amaneddine and Nader Chmait. Modeling real-estate search service using GIS technology. In Proc. of the 17th International Conference on Geoinformatics, pages 1--5, August 2009. http://ieeexplore.ieee.org/document/5293398/
Media interviews:
- Radio interview with Dr. Robyn Williams, The Science show on ABC The Science Show, ABC Southbank Centre, Melbourne, Australia.
- How smart are computers? Lot's wife newspaper interview with PhD. student Nader Chmait, issue 2, page 32, 2015.
Nader Chmait - 2018
