Professor John Thangarajah
Research Director, Centre for Industrial AI Research and Innovation
Details
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College: STEM Research & Innovation
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Department: Research & Innovation
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Campus: City Campus Australia
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john.thangarajah@rmit.edu.au
Open to
- Media enquiries
- Masters Research or PhD student supervision
About
John Thangarajah is passionate about innovation and leadership in both research and education.
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.
Awards:
2020:
Vice Chancellor’s Leadership Award
The award is in recognition of passion and leadership in creating networks of collaboration and excellence in Computer Science.
2017:
AAMAS Best Paper Blue Sky Track
The BlueSky track is for visionary ideas in advancing the field of research. AAMAS is the top (A*) conference in Autonomous Agents.
2011:
Telstra Innovation Challenge Winner
Open-ended conversation based question answering system. Presentated to the Telstra board of execs and front page feature of 'The Australian' IT section on January 24, 2012.
2005:
Best demonstration award at the Autonomous Agents and Multi-Agent conference
Demonstrations were peer reviewed in a similar manner to conference papers by 3 members of a program committee. Approximately 35 demonstrations were considered.
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.
Awards:
2020:
Vice Chancellor’s Leadership Award
The award is in recognition of passion and leadership in creating networks of collaboration and excellence in Computer Science.
2017:
AAMAS Best Paper Blue Sky Track
The BlueSky track is for visionary ideas in advancing the field of research. AAMAS is the top (A*) conference in Autonomous Agents.
2011:
Telstra Innovation Challenge Winner
Open-ended conversation based question answering system. Presentated to the Telstra board of execs and front page feature of 'The Australian' IT section on January 24, 2012.
2005:
Best demonstration award at the Autonomous Agents and Multi-Agent conference
Demonstrations were peer reviewed in a similar manner to conference papers by 3 members of a program committee. Approximately 35 demonstrations were considered.
Media
Supervisor projects
- A Deep Learning Based Framework for Prostate Cancer Detection in Computer Tomography
- 28 Nov 2023
- A socio-ecological simulation model of active travel behaviour
- 24 Oct 2022
- Intelligent monitoring and maintenance of civil infrastructure
- 22 Apr 2022
- Application of AI techniques to Positron Emission Tomography (PET) imaging
- 14 Mar 2022
- Using Speech Interfaces to Support Human Task Performance in Complex Training Environments
- 17 Jun 2020
- Sifting Stories from Interactive Emergent Narrative Systems
- 17 Dec 2018
- Integrating Learning and Reasoning for Real Time Control
- 14 Dec 2018
- Learning and Planning in Video Games via Task Decomposition
- 2 Mar 2015
Teaching interests
Supervisor interest areas:
-Autonomous Systems
-Knowledge-based Reasoning
-Agent-based modelling and simulation
Programs:
-Bachelor of Computer Science
(https://www.rmit.edu.au/study-with-us/information-technology/computer-science)
-Bachelor of Software Engineering
(https://www.rmit.edu.au/study-with-us/information-technology/software-engineering)
-Master of Artificial Intelligence
(https://www.rmit.edu.au/study-with-us/information-technology/information-technology)
-Autonomous Systems
-Knowledge-based Reasoning
-Agent-based modelling and simulation
Programs:
-Bachelor of Computer Science
(https://www.rmit.edu.au/study-with-us/information-technology/computer-science)
-Bachelor of Software Engineering
(https://www.rmit.edu.au/study-with-us/information-technology/software-engineering)
-Master of Artificial Intelligence
(https://www.rmit.edu.au/study-with-us/information-technology/information-technology)
Research interests
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).
Research keywords:
Artificial Intelligence, Autonomous Systems, Knowledge-based Reasoning, Agent-based modelling and simulation
Research keywords:
Artificial Intelligence, Autonomous Systems, Knowledge-based Reasoning, Agent-based modelling and simulation
