The Interdisciplinary Machine Learning Research Group (IMLRG) investigates aspects of machine learning, pattern recognition and data analysis in theory, experiments and applications. Particular emphasis is placed on interdisciplinary projects.

The group’s research is about developing, evaluating and applying artificial neural networks, support vector machines, non-linear dimensionality reduction techniques and evolutionary algorithms. The main paradigms include classification, clustering, outlier detection, regression and optimization. A special research focus is on the application of non-linear kernel methods, deep learning, and geometrical and topological aspects of data analytics.

These methods open a range of possibilities for interdisciplinary applications in fields such as architecture, finance, health, image processing, politics, neuroscience, robotics, and other domains of signal processing and pattern analysis.

The IMLRG is central to a network of data science specialists at UON who cover most aspects of computational intelligence, statistics, signal processing, data mining, optimization, visualization, data security and associated software engineering.

Some of our research areas include:

  • Anthropocentric Biocybernetics
  • Geometrical and topological aspects of data analytics
  • Image processing, computer vision and visualisation
  • Machine learning and pattern recognition
  • Neural information processing systems and brain theory
  • Non-linear kernel machines, support vector machines
  • Reinforcement learning and evolutionary computation
  • Software systems, simulations and autonomous robots

Our Projects

Project Title:

Manifold Learning and Robotics

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr. Kaushik Mahata

Postgraduates:

  • Fayeem Bin Aziz
  • Aaron Wong (PhD completed)

Publications:

Fayeem Aziz, Aaron S.W. Wong, James Welsh, and Stephan K. Chalup. Performance comparison of manifold alignment methods applied to pendulum dynamics. In Applied Informatics and Technology Innovation Conference (AITIC). Springer, 2016. Accepted.

Aaron Wong. Implementing sensory perception and affect on humanoid robots using applications of manifold learning. PhD thesis, Discipline of Computer Science and Software Engineering. The University of Newcastle, Australia. 2014. (Online Access)

Benedikt Boecking, Stephan K. Chalup, Detlef Seese, and Aaron S. W. Wong. Support vector clustering of time series data with alignment kernels. Pattern Recognition Letters, 45(1):129{ 135, August 2014.

Aaron S. W. Wong, Steven Nicklin, Kenny Hong, Stephan K. Chalup, and Peter Walla. Robot emotions generated and modulated by visual features of the environment. In 2013 IEEE Symposium on Computational Intelligence for Creativity and A ective Computing (CICAC), 2013 IEEE Symposium Series on Computational Intelligence (SSCI), pages 9-16. IEEE, 2013. (Online Access)

Aaron S. W. Wong, Stephan K. Chalup, Shashank Bhatia, Arash Jalalian, Jason Kulk, Steven Nicklin, and Michael J. Ostwald. Visual gaze analysis of robotic pedestrians moving in urban space. Architectural Science Review, 55(3):213-223, 2012. (Online Access)

Aaron S. W. Wong, Stephan K. Chalup, Shashank Bhatia, Arash Jalalian, Jason Kulk, and Michael J. Ostwald. Humanoid robots for modelling and analysing visual gaze dynamics of pedestrians moving in urban space. In R. Hyde, S. Hayman, and D. Cabrera, editors, From principles to practice in architectural science. 45th Annual Conference of the Australian and New Zealand Architectural Science Association (Anzasca 2011). (CD-ROM). Faculty of Architecture, Design and Planning: Sydney, 2011. (Received paper award). (Online Access)

Aaron Wong and Stephan K. Chalup. Towards Visualisation of Sound-scapes Through Dimensionality Reduction, 2008 IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, June 1-6, 2008. (Online Access)

Aaron S.W. Wong and Stephan K. Chalup. Sound-scapes for Robot Localisation through Dimensionality Reduction. In: Jonghyuk Kim and Robert Mahony (eds). Proceedings of the 2008 Australasian Conference on Robotics and Automation (ACRA 2008), ISBN 978-0-646-50643-2,ARAA 2008. (Online Access)

Project Title:

Behaviour in Autonomous Multi-agent Systems

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr Michael Quinlan
  • Dr Oliver Obst
  • Dr Stephen R. Young

Publications:

Quinlan Michael Joseph, Obst Oliver, Chalup Stephan, 'Towards autonomous strategy decisions in the RoboCup Four-Legged League', 7th IJCAI International Workshop on Nonmontonic Reasoning, Action and Change. Proceedings, Hyderabad, India (2007)

Quinlan Michael Joseph, Chalup Stephan, 'Impact of Tactical Variations in the RoboCup Four-Legged League', Proceedings of International Symposium on Practical Cognitive Agents and Robots (PCAR), Perth, WA, Australia ), vol. 213, pp. 27-38, 2006, ISBN:1-74052-130-7(2006) (Online Access)

Young Stephen Robert, Chalup Stephan, 'Towards Robot Soccer Team Behaviours Through Approximate Simulation', Proceedings of 4th IEEE International Conference on Development and Learning, INTEX Osaka, Japan (2005)

Project Title:

Neural Networks and Deep Learning

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr Alan Blair
  • Dr Maria Seron
  • Dr Alex Mendes

Postgraduate:

  • Asad Abbas
  • Alex Biddulph
  • Abdul Jabbar
  • Maryam Mahsal Khan
  • Josiah Walker (PhD completed)
  • Lukasz Wiklendt (PhD completed)

Support:

  • The University of Newcastle, CDSC
  • 4Tel Pty. Ltd

Research Areas:

  • Synthetic data generation for deep learning
  • Evolutionary wavelet neural networks
  • Neurodynamic programming for sequence prediction
  • Acrobot swing-up and stabilisation
  • Employ spiking neural networks in a computer simulation study
  • Use evolutionary computation for training
  • Bi-ped simulation study

Publications:

Abdul Jabbar, Luke Farrawell, Jake Fountain, and Stephan Chalup. Training deep neural networks for detecting drinking glasses using synthetic images. In Proceedings of the The 24th International Conference on Neural Information Processing, ICONIP 2017, November 14-18, 2017, Guangzhou, China, 2017. (accepted 15 August 2017.)

Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, and Stephan K. Chalup. Evolving multidimensional wavelet neural networks for classification using cartesian genetic programming. Neurocomputing, 247:39-58, 2017.

Maryam Mahsal Khan, Stephan K. Chalup, and Alexandre Mendes. Parkinson's disease data classification using evolvable wavelet neural networks. In Tapabrata Ray, Ruhul Sarker, and Xiaodong Li, editors, Artificial Life and Computational Intelligence, Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016. Proceedings, volume of Lecture Notes in Artificial Intelligence (LNAI), pages 113-124. Springer International Publishing, 2016.

Josiah Walker and Stephan K. Chalup. Learning nursery rhymes using adaptive parameter neurodynamic programming. In Stephan K. Chalup, Alan D. Blair, and Marcus Randall, editors, Artificial Life and Computational Intelligence, First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings, volume 8955 of Lecture Notes in Artificial Intelligence (LNAI), pages 196{209. Springer International Publishing, 2015

Maryam Mahsal Khan, Stephan K. Chalup, and Alexandre Mendes. Evolving wavelet neural networks for breast cancer classification. In Twelfth Australasian Data Mining Conference (AusDM'2014), Queensland University of Technology, Gardens Point, Brisbane, 27-28 November 2014, Conferences in Research and Practice in Information Technology (CRPIT). Australian Computer Society Inc., 2014.

Lukasz Wiklendt. Spiking Neural Networks for Robot Locomotion Control. PhD thesis, Discipline of Computer Science and Software Engineering. The University of Newcastle, Australia. 2014. (Online Access)

Lukasz Wiklendt and Stephan K. Chalup. Balance Control of a Simulated Inverted Pendulum on a Circular Base.Australasian Conference on Robotics and Automation (ACRA), 2009. (Online Access)

Lukasz Wiklendt, Stephan. K. Chalup, and Maria M. Seron. Simulated 3d Biped Walking with an Evolution-Strategy Tuned Spiking Neural Network. Neural Network World 19, pp. 235-246, 2009. (Online Access)

Lukasz Wiklendt, Stephan K. Chalup and Maria Seron. Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution Strategy for a Simulated 3D Biped Walking Controller, 8th International Conference on Hybrid Intelligent Systems (HIS 2008), IEEE Computer Society Press 2008. (Online Access)

Lukasz Wiklendt, Stephan K. Chalup, and Richard H. Middleton. A Small Spiking Neural Network with LQR Control Applied to the Acrobot. Neural Computing & Applications 18(4), pp. 369-375, ISSN 1433-3058, Springer London, 2008. (Online Access)

Chalup Stephan, Middleton Richard Hume, Quinlan Michael Joseph, Wiklendt Lukasz Sebastian, 'Neurocomputational aspects of legged locomotion motor control', Proceedings of the Australian Neuroscience Society, 15 105 (2004).

Stephan K. Chalup and Alan D. Blair (2003). Incremental Learning for RNNs: How Does It Affect Performance and Hidden Unit Activation? RNNaissance Workshop–NIPS 2003. (abstract, unpublished) (PDF, 35KB)

Stephan K. Chalup and Alan D. Blair (2003). Incremental Training of First Order Recurrent Neural Networks to Predict a Context-Sensitive Language. Neural Networks 16(7), pp. 955-972. (Online Access)

Stephan K. Chalup. Incremental learning in biological and machine learning systems. International Journal of Neural Systems, 12(6):447-465, 2002.

Stephan K. Chalup and Alan D. Blair (2002), "Software for Analysing Recurrent Neural Nets that Learn to Predict Non-Regular Languages", In: Pieter W. Adriaans and Henning Fernau and Menno van Zaanen, "Grammatical Inference: Algorithms and Applications, 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002, Proceedings". Lecture Notes in Computer Science LNCS 2484, pp.296—298, ISBN 3-540-44239-1, Springer-Verlag. (PDF, 95KB)

Stephan Chalup and Alan D. Blair (1999). "Hill climbing in recurrent neural networks for learning the an bn cn language". In: ICONIP'99, 6th International Conference on Neural Information Processing, Proceedings. Perth, Western Australia, 16-20 November 1999, Volume 2. pp. 508–513, ISBN: 0-7803-5871-6, IEEE. (PDF, 151KB)

Project Title:

Kernel Methods in Finance and Complexity Management

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Professor Detlef Seese

Postgraduates:

  • Mr Tobias Dietrich
  • Mr Andreas Mitschele
  • Mr Christian Ullrich

Publications:

Stephan Chalup and Andreas Mitschele. Kernel Methods in Finance. Chapter 27, pp. 655-687; In: Detlef Seese, Christof Weinhardt and Frank Schlottmann (Eds.). Handbook on Information Technology in Finance; Series: International Handbooks on Information Systems; ISBN: 978-3-540-49486-7; Springer-Verlag Berlin Heidelberg, 2008.

Andreas Mitschele, Detlef Seese, Frank Schlottmann, and Stephan Chalup. Applications of Kernel Methods in Financial Risk Management. 12th International Conference on "Computing in Economics and Finance" Amathus Beach Hotel, Limassol, Cyprus, 22-24 June, 2006.

Christian Max Ullrich, Detlef Seese, Stephan Chalup. Foreign Exchange Trading with Support Vector Machines. In Proceedings of the 30th Annual Conference of the German Classification Society (GfKI 2006), pp. 1-9. 2006.

Tobias Dietrich, Detlef Seese, and Stephan K. Chalup. Classification of e-bay bidding characteristics. IADIS International Journal on WWW/Internet 4(1), pp. 111–125, ISSN: 1645–7641, 2006. (Received Paper Award)

Christian Ullrich, Detlef Seese, and Stephan Chalup. Predicting Foreign Exchange Rate Return Directions with Support Vector Machines. Proceedings of the 4th Australasian Data Mining Conference (AusDM05), Simeon J. Simoff, Graham J. Williams, John Galloway and Inna Kolyshkina (editors), December, 2005, Sydney, Australia, pp. 221-240.

Tobias Dietrich, Detlef Seese, and Stephan Chalup. Differences in Bidding Characteristics on ebay.de. Proceedings of the IADIS International Conference e-Commerce 2005 Porto, Portugal December 15-17, 2005, Nitya Karmakar and Pedro Isaias (editors), ISBN: 972-8924-06-2, pp. 3–10, IADIS Press, 2005.

Project Title:

Machine Learning on AIBO Robots

Postgraduate:

  • Mr Michael Quinlan (completed 2006)

Supervisors:

  • A/Prof. Stephan Chalup
  • Professor Rick Middleton

Publications:

Stephan K. Chalup, Craig L. Murch, and Michael J. Quinlan. Machine Learning with AIBO Robots in the Four Legged League of RoboCup. IEEE Transactions on Systems, Man, and Cybernetics—Part C, Vol. 37, No. 3, pp. 297-310, May 2007. (Online Access)

Michael J. Quinlan. Machine Learning on AIBO Robots. PhD Thesis, The University of Newcastle, 2006. (PDF-7MB)

Craig L. Murch and Stephan K. Chalup. Combining Edge Detection and Colour Segmentation in the Four-Legged League. Proceedings of the 2004 Australasian Conference on Robotics and Automation (ACRA'2004). (Online Access)

Michael J. Quinlan and Stephan K. Chalup and Richard H. Middleton. Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. Advances in Neural Information Processing Systems 16, (NIPS'2003), Cambridge, MA, MIT Press, 2004. (Online Access)

M. J. Quinlan, S. K. Chalup, R. H. Middleton. Techniques for Improving Vision and Locomotion on the Sony AIBO Robot. In: Jonathan Roberts and Gordon Wyeth (eds.), Proceedings of the 2003 Australasian Conference on Robotics & Automation (ACRA'2003). (Online Access)

M. J. Quinlan, C. Murch, R. H. Middleton, S. K. Chalup. Traction Monitoring for Collision Detection with Legged Robots. Lecture Notes in Artificial Intelligence LNAI 3020, pp. 374–384, 2004. [Engineering Challenge Paper Award, RoboCup 2003] (Online Access)

O. J. Coleman and S. K. Chalup. Towards Matching Perception in Simulated and Real World Robot Navigation. Australian Conference on Artificial Life (ACAL'2003), 2003.

Project Title:

Face Recognition and Face Expression Dynamics

Postgraduate:

  • Mr Kenny Hong

Supervisors:

  • A/Prof. Stephan Chalup
  • Dr Suhuai Luo
  • Dr Robert King

Publications:

Kenny Hong, Stephan Chalup and Robert King. A Component Based Approach Improves Classification of Discrete Facial Expressions over a Holistic Approach. 2010 International Joint Conference on Neural Networks (IJCNN2010)(part of IEEE WCCI) pp 90-97, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. Simulating Pareidolia of Faces for Architectural Image Analysis. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol 2, pp 262-278, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. A Face-House Paradigm for Architectural Scene Analysis. In: Richard Chbeir, Youakim Badr, Ajith Abraham, Dominique Laurent, Fernnando Ferri (eds.). CSTST 2008: Proceedings of The Fifth International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.397-403, ACM ISBN 978-1-60558-046-3, 2008. (Online Access)

Project Title:

Modelling and predicting patterns of pedestrian movement: using robotics and machine learning to improve the design of urban space

Postgraduate:

  • Arash Jalalian (PhD completed

Supervisors:

  • A/Prof. Stephan Chalup
  • Professor Michael Ostwald

Support:

ARC Discovery Grant 2010-2012
Ostwald & Chalup: Modelling and predicting patterns of pedestrian movement: using robotics and machine learning to improve the design of urban space. ($486,000)

Publications:

Arash Jalalian and Stephan K. Chalup. GDTW-P-SVMs: Variable-length time series analysis using support vector machines. Neurocomputing, 99(1):270-282, January 2013. (Online Access)

Arash Jalalian. Time series classification for analysing the impact of architectural design on pedestrian spatial behaviour. PhD thesis, Discipline of Computer Science and Software Engineering. The University of Newcastle, Australia. 2012.

Aaron S. W. Wong, Stephan K. Chalup, Shashank Bhatia, Arash Jalalian, Jason Kulk, Steven Nicklin, and Michael J. Ostwald. Visual gaze analysis of robotic pedestrians moving in urban space. Architectural Science Review, 55(3):213-223, 2012. (Online Access)

Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Analysis of pedestrian spatial behaviour using GDTW-P-SVMs. In The 2012 International Joint Conference on Neural Networks (IJCNN), Curran Associates, Inc., 57 Morehouse Lane, Red Hook, NY 12571 USA, 2012. Institute of Electrical and Electronics Engineers (IEEE). (Online Access)

Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Agent-agent interaction as a component of agent-environment interaction in the modelling and analysis of pedestrian visual behaviour. In CAADRIA 2011. Circuit Bending, Breaking and Mending. The 16th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, 2011. (Online Access)

Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Architectural evaluation of simulated pedestrian spatial behaviour. Architectural Science Review, 54(2):132-140, 2011. (Online Access)

Arash Jalalian, Stephan K. Chalup, and Michael J. Ostwald. Simulating pedestrian flow dynamics for evaluating the design of urban and architectural space. In Chris Murphy, Susan J. Wake, David Turner, Graeme McConchie, and David Rhodes, editors, 44th Annual Conference of the Australian and New Zealand Architecture Science Association, Unitec, Auckland, New Zealand. 24th-26th November 2010, 2010. (Online Access)

Arash Jalalian, Stephan K. Chalup and Michael J. Ostwald. Intelligent Evaluation of Urban Streetscape Designs by Analysing Pedestrian Body Dynamics. Third International Workshop on Advanced Computational Intelligence (IWACI, 2010). (Online Access)

Project Title:

Shaping social and cultural spaces: the application of computer visualisation and machine learning techniques to the design of architectural and urban spaces.

Chief Investigators:

  • Professor Michael Ostwald
  • A/Prof. Stephan Chalup

Support:

ARC Large Grant 2007-2009

Publications:

Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Approaches to Architectural Analysis: New Methods for Investigating the Built Environment. In: Paul S. Geller (ed.). Built Environment: Design, Management and Applications. ISBN 978 1 60876 915 5, Nova Publishers, 2010. (Online Access)

Michael J. Ostwald, Josephine Vaughan and Stephan K. Chalup. A Computational Investigation into the Fractal Dimensions of the Architecture of Kazuyo Sejima. Design Principles and Practices: An International Journal 3(1), pp. 231-244, 2009. (Online Access)

Stephan K. Chalup, Naomi Henderson, Michael J. Ostwald, and Lukasz Wiklendt. A Computational Approach to Fractal Analysis of a Cityscape's Skyline. Architectural Science Review 52(2), pp. 126-134, 2009. (Online Access)

Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Computing for Analysing the Architectural Design of House Facades and Cityscapes. Design Principles and Practices: An International Journal 3(5), pp.65-80, ISSN: 1833-1874, 2009. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. Simulating Pareidolia of Faces for Architectural Image Analysis. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol 2, pp 262-278, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong and Michael J. Ostwald. A Face-House Paradigm for Architectural Scene Analysis. In: International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), 2008. (Online Access)

M. J. Ostwald, J. Vaughan, and S. Chalup. A computational analysis of fractal dimensions in the architecture of Eileen Gray. In ACADIA 2008, Silicon + Skin: Biological Processes and Computation, October 16 - 19, 2008. (Online Access)

S. K. Chalup, N. Henderson, M. J. Ostwald, and L. Wiklendt. A method for cityscape analysis by determining the fractal dimension of its skyline. In: 42nd Annual Conference of the Australian and New Zealand Architectural Science Association (ANSAScA 2008) November 2008, Newcastle, Australia, 2008. forthcoming. (Online Access)

Tucker Christopher Charles, Ostwald Michael, Marshall Joshua Phillip, Chalup Stephan, 'The visual qualities of liveable streets', Towards Solutions for a Liveable Future: Progress, Practice, Performance, People. Proceedings of the 41st Annual Conference of the Architectural Science Association, Melbourne (2007). (Online Access)

Stephan K. Chalup, Riley Clement, Chris Tucker and Michael J. Ostwald. Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. In: M. Randall, H. Abbass, and J. Wiles (Eds.): ACAL 2007, LNAI 4828, pp. 84-95, 2007. (Online Access)

Stephan K. Chalup, Riley Clement, Joshua Marshall, Chris Tucker, and Michael J. Ostwald. Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays. 2007 IEEE Symposium on Artificial Life, April 1-5, 2007. (Online Access)

Stephan K. Chalup, Riley Clement, Michael J. Ostwald and Chris Tucker. Applications of Manifold Learning in Architectural Facade and Streetscape Analysis, Workshop on Novel Applications of Dimensionality Reduction at NIPS 2006.

Project Title:

The Machine Intelligence Hex Project

Chief Investigators:

  • A/Prof. Stephan Chalup

Research Assistant:

  • Mr Drew Mellor

Collaborator:

  • Dr Frances Rosamond

Support:

Discipline of CSSE

Research Areas:

  • Artificial Intelligence
  • Computer Science Education

Publications:

Stephan K. Chalup, Drew Mellor, and Fran Rosamond. The Machine Intelligence Hex Project. Computer Science Education 15(4), pp. 245–273, Routledge, December 2005. (Online Access)

S. K. Chalup. Towards Staged Evolution of an Artificial Player for Hex by Enlarging the Boardsize During Training. IEEE Congress on Evolutionary Computation (CEC'2003), 2003.

S. K. Chalup and D. Mellor. The Machine Intelligence Hex Project - An Overview. Australian Journal of Intelligent Information Processing Systems 8(1), pp. 6-23, November 2002.

Our Consultancy

Machine learning and data mining techniques have become of great importance for industry projects, business applications and interdisciplinary projects.

The Interdisciplinary Machine Learning Research Group offers expertise and consulting in a wide range of relevant techniques. Prospective industry or research partners are welcome to contact us for further information.

Online Resources for Research Students

Our Team

Dr Bilal Abed-AlguniAssistant Professor, Yarmouk University
Dr Mark Adam AIR Group, Senior Lecturer in IT
Fayeem Bin Aziz Postgraduate Student
Dr Shashank Bhatia Collaborator, Mater Hospital
Mr Ross Bille Postgraduate Student
Dr Alan Blair Collaborator, UNSW
A/Prof Stephan Chalup Director, Associate Professor
Dr Raymond Chiong AIR Group, Senior Lecturer in IT
Dr David Cornforth AIR Group, Senior Lecturer in IT
Mr Michael Dickinson Senior Lecturer
Mr Jake Fountain Postgraduate Student
Mr Shannon Fenn Postgraduate Student
Dr Kenny Hong Collaborator
Mr Trent Houliston Postgraduate Student
Dr Arash Jalalian Collaborator
Maryam Mahsal Khan Postgraduate Student
Dr Robert King Lecturer in Statistics
Dr Suhuai Luo Lecturer in Information Technology
Dr Drew Mellor Collaborator, University of Western Australia
Dr Alexandre Mendes Deputy Head, Newcastle Robotics Lab
Mitchell Metcalfe Collaborator
Dr Keith Nesbitt Senior Lecturer
Dr Steven Nicklin Collaborator
A/Prof Oliver Obst University of Western Sydney
Professor Michael Ostwald Professor in Architecture
Rahul Paul Postgraduate Student
Dr Michael Quinlan Collaborator
Engineer at Clover in Mountain View, California
Prof. Detlef Seese Collaborator
Karlsruhe Institute of Technology, Germany
Dr Maria Seron Research Academic
Mr Christopher Tucker Lecturer in Architecture
Mr Peter Turner Tribotix
Ms Josephine Vaughan Collaborator
Prof. Richard Vella School of Creative Arts UON
Mr Josiah Walker Postgraduate Student, Research Assistant
Prof. Peter Walla Functional Neuroimaging Laboratory
Dr Lukasz Wiklendt Collaborator, Flinders University Adelaide
Dr Aaron Wong Researcher, Functional Neuroscience Lab UON