Professor John Thangarajah

John Thangarajah is a Professor in Artificial Intelligence and the current Associate Dean (Head) of Computer Science and Software Engineering at RMIT University, Melbourne, Australia. His interests are in Agent Oriented Software Development (how do we build and construct Intelligent Systems), Agent Reasoning (how can programs behave in smart ways), Intelligent Conversation Systems (how can systems interact intelligently satisfying a user’s information needs), Agent Testing (providing assurance that the systems work) and in Intelligent Games (how can intelligent game masters be introduced into role playing games). He collaborates with industry partners and researchers both local and international and have managed various aspects of research projects and product development.

Professor Lawrence Cavedon

Professor Lawrence Cavedon is Associate Dean of Computer Science and IT in the School of Science. His research focuses on impact and collaboration with industry; he has worked with partners such as NASA, Bosch Corp, Volkswagen, SEEK and IBM Research, as well as hospitals and health organisations. His research expertise includes artificial intelligence, human language technology and text mining, with a specific interest in spoken dialogue systems for human-system collaboration.

Professor James Harland

Professor James Harland has expertise in automated reasoning, intelligent agents and interactive narratives. He has worked on the development of intelligent behaviour via goal-based reasoning, the use of intelligent agents in narrative structures and methods for automated proof search. He is also the Director of the Virtual Experiences Laboratory which houses the School’s Baxter and MiR robots.

Professor Lin Padgham

Lin Padgham is a Professor of Artificial Intelligence with over 25 years experience in various aspects of knowledge representation, commonsense reasoning, autonomous agents and agent based simulation. She also draws on her earlier career and training in psychology. She has had many ARC Discovery and Linkage grants, and is currently particularly interested in assisting in the development of systems which meet the needs of end users. Her current interests focus primarily on agent based simulation in the emergency management domain.

Professor Sebastian Sardina

Sebastian Sardina is a Professor at RMIT University. His research focuses on obtaining models and techniques for intelligent control in complex and dynamic environments, like smart houses or manufacturing plants. His contributions span across different areas of AI and CS, including automated planning, reasoning about action and change, agent-oriented programming, intention recognition, and business processes. He is also interested and has experience in the teaching of Algorithmic Thinking and Computer Science to children and youth in schools and the community.

Associate Professor Vic Ciesielski

Vic Ciesielski received his PhD from Rutgers University, NJ. He is currently Associate Professor in the School of Science. His research interests include genetic programming, data mining, evolutionary computer vision, deep learning and evolutionary art. Vic has provided the scientific direction for over 20 industrial projects of various sizes which have involved the application of artificial intelligence techniques to industrial problems. These include an insurance underwriting system based on expert system technology and, an obstacle avoidance system for autonomous mining vehicles operating in tunnels which uses machine learning and computer vision techniques. Most recently he is responsible for the data mining behind the ANZ house price prediction app.

Associate Professor Fabio Zambetta

Fabio Zambetta is an Associate Professor in AI at RMIT University, and a Discipline Leader in the Computer Science & Software Engineering discipline. His research interests revolve around AI in computer games, machine learning and virtual/augmented/mixed reality.

Dr Jeffrey Chan

Jeffrey is a Senior Lecturer at RMIT University. His research interests lie in machine learning, social network analysis, recommendation and data driven optimisation and decision-making. He publishes regularly in the top conferences and journals in these areas, including winning a best paper aware at the ACM International Conference on Web Science 2011. He has worked with industry and the non-profit sector in data and machine learning driven, optimisation and decision-making applications including retail and marketing, sustainability, social media, energy and manufacturing.

Dr Minyi Li

Minyi Li is a Senior Lecturer in the School of Science/Computer Science and Software Engineering at RMIT University.

Her research interests lies in the general area of AI, specifically focuses on preference representation, reasoning, and learning, computational social choice, collective decision-making, and multi-agent systems. She is particularly interested in the application areas of recommendation systems, smart energy, traffic management and optimisation, etc.

Dr Julie Porteous

Julie Porteous moved from the UK to join RMIT University as a Senior Lecturer in 2018. Her research interests are in Artificial Intelligence Planning, Automated Reasoning and the application of these technologies to Interactive Entertainment and Games. Her early work included the introduction of Landmarks which has had notable impact in the field. In 2013, along with her co-authors, this was recognised with the ICAPS 2013 Influential Paper Award. More recently her work in the development of Interactive Entertainment Systems has resulted in award winning research prototypes such as the NetworkING System at ICAPS 2013.

Dr Sebastian Rodriguez

Sebastian Rodriguez is a Senior Lecturer at RMIT University (Melbourne, Australia). Previously, he was a Professor at Universidad Tecnológica Nacional (Tucuman, Argentina).  At UTN, he founded the Advanced Information Technology Research Group. His research interests include Agent Oriented Software Engineering, Complex Systems Modelling and Simulation, Holonic Multiagent Systems and Agent Development Platforms and Languages.

Dr Timothy Wiley

Dr Timothy Wiley's primary research areas are Artificial Intelligence, Machine Learning and Robotics. His primary areas of focus are (1) using autonomous robots as a platform for efficient machine learning, (2) investigating explainable artificial intelligence with applications in social robotics and human-robot interaction. Timothy is a Lecturer in Machine Learning and Robotics at RMIT University. Timothy received his PhD from UNSW Sydney, in data efficient online methods for learning autonomous robot behaviours.

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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 created by Louisa Bloomer