Director of Research
STEM | School of Computing Technologies
CIAIRI - Center for Industrial AI Research & Innovation
Email: john.thangarajah@rmit.edu.au
Campus: Melbourne City
STEM | School of Computing Technologies
CIAIRI - Center for Industrial AI Research & Innovation
Email: john.thangarajah@rmit.edu.au
Campus: Melbourne City
John Thangarajah is a Professor in AI and the Director of Research of CIAIRI (Center for Industrial AI Research & Innovation) at RMIT University, Melbourne, Australia. He leads the research directions and also the academic partnerships.
He collaborates with industry partners and researchers both local and international and have managed various aspects of research projects and product development. He is also a member of the IFAAMAS board of directors, an International foundation whose purpose is to promote science and technology in the areas of artificial intelligence, autonomous agents and multi-agent systems.
One of his strong beliefs is in applied research, and over the last five years he has been part of $4 million in research funding from the government and industrial sectors, with primary collaborations with the Defence Science Technology group.
John has over 20+ years experience in teaching and managing CS & IT related courses to undergraduate, postgraduate and industry personnel. During his time as the head of Computer Science and Software Engineering discipline, he transformed the first year education for Computer Science and Software Engineering students at RMIT moving away from the standard lecture model to hands-on experiential learning in bootcamps and studios.
His goal is to continue to be involved in developing smart systems that are not only intellectually challenging but also have practical benefit and impact.
What drew me to technology, computers in particular, is the ability to make machines do things. I think, that was just superhero stuff.
As an active researcher in the field of Intelligent Autonomous Systems, John's interests are in Autonomous Systems Development (how do we build and construct Intelligent Systems), Agent Reasoning (how can programs behave in smart ways), Machine Learning techniques for autonomous entities (how can machines learn behaviours), and more recently on Human-Machine Teams (how do we design and build software with the human in and on the loop).
Artificial Intelligence, Autonomous Systems, Knowledge-based Reasoning, Agent-based modelling and simulation
Publications
Grants
Springer Briefs in Intelligent Systems
Rick Evertsz, John Thangarajah, Thanh Ly. (2019).
AAMAS 2021: 1064-1072
Sebastian Rodriguez, John Thangarajah, Michael Winikoff. (2021).
Sci Rep, Nature, 11, 7956
Korevaar, S., Tennakoon, R., Page, M. et al. (2021).
Award date: 2020
Recipients: John Thangarajah
Award date: 2017
Recipients: John Thangarajah
Award date: 2011
Recipients: John Thangarajah
ARC grants:
Industry research income:
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.
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