Dr Aaron Wong
Honorary Lecturer
School of Psychology (Computer Science and Software Engineering)
From computer science to neuroimaging
Dr Aaron Wong was initially spurred into the world of computing science thanks to the foresight of his parents – who enrolled him into coding workshops when he was just seven years old. Today, his interdisciplinary research journey is motivated instead by a love of learning and collaboration.
Although Aaron dabbled in a number of extra-curricular activities throughout his primary years, including attempting to learn Chinese, coding was the one that stuck. Aaron admits that his Chinese language skills may have suffered as a consequence: “My accent is terrible,” he confides
But although the lack of language skills may have disappointed his RoboCup team-mates at the 2008 World Championship in Suzhou, China, the NUbots couldn’t have had too much to complain about when Aaron’s well-refined coding practise helped launched them to global victory.
NUbots are autonomous, football-playing robots who compete across the globe in soccer matches. While they seem like just a cute bit of fun, the aim of RoboCup and the footy-playing robots is to combine artificial intelligence and robotics to develop solutions in the broader AI and robotics fields.
Although most students get involved with the NUbots projects within the Newcastle Robotics Laboratory, led by Associate Professor Stephan Chalup, as part of coursework or summer scholarship programs, Aaron was invited onto the team because of his natural programming flair.
He had been enrolled in a double degree in Computer Science and Computer Engineering at UON– a career choice which had been a long time in the making.
“I always knew I wanted to do something in the field of computing - I had a knack for programing because I started really young.
“I was interested in the foundations of mathematics, so coding was just the way that I applied that skill set - I found it easy and I took off with it.”
Once Aaron progressed to high school, he became fascinated instead with computing hardware. He began fixing computers for fun when he was just eleven years old – a hobby which he explains was merely a consequence of the natural progression of his interests.
Of robots and rescues
Throughout his undergraduate studies, Aaron become engrossed in the field of artificial intelligence (AI), and continued in his machine learning research throughout his Honours and PhD projects.
“I started off programming a rescue robot to compete in the RoboCup Federation – it was an autonomously driving wheeled robot designed to find victims in a disaster scenario.
“I concentrated on sound recognition and localisation. Because the robot was so low to the ground, sound was pretty much the only way of finding people.”
From there, Aaron moved on to acoustic and image processing for his PhD. Then, through a roundabout series of research questions and aims, he found himself specialising in the unusual task of teaching of emotions to robots.
“We were combining together all the sensory and effective processing.
“So we’d pull out all the visual features we were interested in - like colour, fractal dimension and facial perception (paredolia) – then feed that into a learning algorithm to get the robot to learn by itself via user feedback.”
When Aaron was offered a part time technical support position within Associate Professor Frini Karayanidis’ Functional Neuroimaging Laboratory, his new working environment saw this emotional learning aspect truly came into focus.
“There was definitely an overlap – and it helped me with my writing too, that I was able to concentrate on the biological and psychological perspective of the project.
“That general integration of sensory input which is basically what our brain does. We don’t know exactly what happens there but we’ve got lots of bits of ideas.
“What I could then do was build those ideas into my engineering project.”
Combining collaboration with innovation
Since finishing his PhD, Aaron has moved on to work with a number of research groups from across the University, including with the team at his old PhD stomping ground, the Functional Neuroimaging Laboratory.
“I’m really open to collaboration – I’m flexible and have found I can work with just about everyone.”
At the moment, Aaron is involved with UON’s PRC for Stroke and Brain Imaging’s streamlining of patient assessment techniques. They are hoping to minimise the need for number of pricey MRI scans performed in the clinic.
“To infer brain function from MRI costs much more and takes a lot longer, when compared with an EEG.”
By building a model which feeds EEG and MRI data together, patterns between the two types of data can be used to predict MRI results from EEG scans.
“The project is a massive data mining process - but it should eventually save clinics a lot of time and money.”
STEM outreach solutions
Aware of the difference an early start can make to a child’s attitudes to science and learning, Aaron is now invested in primary school workshops much like the ones he benefited from as a child.
Aaron initiated UON’s RoboCup Junior project in 2011 when he was approached by a parent at a RoboCup event.
“He was really keen to start something like what we were doing but for younger kids.
“It’s good for them to be able to see the practical applications of engineering from an early age, and to realise it’s all about having a go.”
“It’s that iterative learning process - writing one line of code and sending it out to the robot. Then asking – ‘Does it move, does it not? Did I do something wrong, did I do something right?’
“You can assess that step by step, and that's the kind of logical thinking that you need to be an engineer. You need that ability to break down your jobs into tiny little steps so you can go ‘Tick, tick, tick!’ - also it builds your confidence as well.”
From computer science to neuroimaging
Dr Aaron Wong was initially spurred into the world of computing science thanks to the foresight of his parents – who enrolled him into coding workshops when he
Career Summary
Biography
Dr Aaron S.W. Wong research and interests lay in the interdisciplinary fields of computer science, robotics, cognitive neuroscience, psychology, biofeedback and built environment; Anthropocentric bio-cybernetic computing, mainly implementing sensory perception and affect for humanoid robots using learning, with a focus on manifold learning for the built environment.
His accomplishments include World SPL Champion, RoboCup, 2008-Soccer Robots, and Environmental Affective Robotics.
Currently employed as a technical research assistant in the Priority Research Center for Stroke and Brain Injury (PRC-SBI). Working on a combination of core projects relating to the PRC-SBI Psychological Processes Hub, which include software development of processing pipelines for Magnetic Resonance Imaging processing (MRI) mainly on Diffusion Weighted Imaging (DWI), and Electroencephalogram (EEG) which includes development and maintenance of software processing pipelines for evoked response potentials, time-frequency analysis and network connectivity. In addition to conducting research into applications of Multivariate Joint Modelling, using Hierarchical Bayesian Models for the AGE-ility Project.
Qualifications
- Doctor of Philosophy, University of Newcastle
- Bachelor of Engineering (Computer Eng)(Honours), University of Newcastle
- Bachelor of Computer Science, University of Newcastle
Keywords
- Artifical Intelligence
- Computational Neuroscience
- Neuroinformatics
- Robotics
Languages
- English (Fluent)
- Cantonese (Working)
Professional Experience
Professional appointment
Dates | Title | Organisation / Department |
---|---|---|
1/3/2016 - |
Technical Research Assistant - Software/Hardware Development and Maintainance Software Development and Maintainance: - EEG Processing Pipelines: Evoked response potentials, time-frequency analysis, and network connectivity. |
Priority Research Centre for Stroke and Brain Injury Australia |
Awards
Award
Year | Award |
---|---|
2014 |
Global Leader of Innovation 2014, UON The University of Newcastle |
2011 |
RoboCup Australian Open Champion 2011 - NUbots RoboCup Federation |
2008 |
RoboCup International World Champion SPL 2008 - NUmanoids RoboCup Federation |
Research Award
Year | Award |
---|---|
2011 |
Best Student Paper: 46th Annual Conference of the Archtectural Science Association Australian and New Zealand Architectural Science Association (ANZAScA) |
Invitations
Keynote Speaker
Year | Title / Rationale |
---|---|
2015 |
Medical Software Industry Association Talk Presented: Social Robotics: Implications to Healthcare |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (12 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2023 |
Karayanidis F, Hawkins GE, Wong ASW, Aziz F, Hunter M, Steyvers M, 'Jointly modeling behavioral and EEG measures of proactive control in task switching.', Psychophysiology, 60 e14241 (2023) [C1]
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Nova | |||||||||
2021 |
McKewen M, Cooper PS, Skippen P, Wong ASW, Michie PT, Karayanidis F, 'Dissociable theta networks underlie the switch and mixing costs during task switching', Human Brain Mapping, 42 4643-4657 (2021) [C1] During task-switching paradigms, both event-related potentials and time-frequency analyses show switch and mixing effects at frontal and parietal sites. Switch and mixing effects ... [more] During task-switching paradigms, both event-related potentials and time-frequency analyses show switch and mixing effects at frontal and parietal sites. Switch and mixing effects are associated with increased power in broad frontoparietal networks, typically stronger in the theta band (~4¿8¿Hz). However, it is not yet known whether mixing and switch costs rely upon common or distinct networks. In this study, we examine proactive and reactive control networks linked to task switching and mixing effects, and whether strength of connectivity in these networks is associated with behavioural outcomes. Participants (n¿= 197) completed a cued-trials task-switching paradigm with concurrent electroencephalography, after substantial task practice to establish strong cue-stimulus¿response representations. We used inter-site phase clustering, a measure of functional connectivity across electrode sites, to establish cross-site connectivity from a frontal and a parietal seed. Distinct theta networks were activated during proactive and reactive control periods. During the preparation interval, mixing effects were associated with connectivity from the frontal seed to parietal sites, and switch effects with connectivity from the parietal seed to occipital sites. Lateralised occipital connectivity was common to both switch and mixing effects. After target onset, frontal and parietal seeds showed a similar pattern of connectivity across trial types. These findings are consistent with distinct and common proactive control networks and common reactive networks in highly practised task-switching performers.
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2020 |
McKewen M, Cooper PS, Wong ASW, Michie PT, Sauseng P, Karayanidis F, 'Task-switching costs have distinct phase-locked and nonphase-locked EEG power effects', PSYCHOPHYSIOLOGY, 57 (2020) [C1]
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2019 |
Cooper PS, Karayanidis F, McKewen M, McLellan-Hall S, Wong ASW, Skippen P, Cavanagh JF, 'Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing', NeuroImage, 189 130-140 (2019) [C1] Investigations into the neurophysiological underpinnings of control suggest that frontal theta activity is increased with the need for control. However, these studies typically sh... [more] Investigations into the neurophysiological underpinnings of control suggest that frontal theta activity is increased with the need for control. However, these studies typically show this link by reporting associations between increased theta and RT slowing ¿ a process that is contemporaneous with cognitive control but does not strictly reflect the specific use of control. In this study, we assessed frontal theta responses that underpinned the switch cost in task switching ¿ a specific index of cognitive control that does not rely exclusively on RT slowing. Here, we utilised a single-trial regression approach to assess 1) how cognitive control demands beyond simple RT slowing were linked to midfrontal theta and 2) whether midfrontal theta effects remained stable over time. In a large cohort that included a longitudinal subsample, we found that midfrontal theta was modulated by switch costs, with enhanced theta power when preparing to switch vs. repeating a task. These effects were reliable after a two-year interval (Cronbach's a.39-0.74). In contrast, we found that trial-by-trial modulations of midfrontal theta power predicted the size of the switch cost ¿ so that switch trials with increased theta produced smaller switch costs. Interestingly, these relationships between theta and behaviour were less stable over time (Cronbach's a 0-0.61), with participants first using both delta and theta bands to influence behaviour whereas after two years only theta associations with behaviour remained. Together, these findings suggest midfrontal theta supports the need for control beyond simple RT slowing and reveal that midfrontal theta effects remain relatively stable over time.
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2019 |
McKewen M, Skippen P, Cooper PS, Wong ASW, Michie PT, Lenroot R, Karayanidis F, 'Does cognitive control ability mediate the relationship between reward-related mechanisms, impulsivity, and maladaptive outcomes in adolescence and young adulthood?', Cognitive, Affective and Behavioral Neuroscience, 19 653-676 (2019) [C1]
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2019 |
Aziz F, Wong ASW, Chalup S, 'Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders', Algorithms, 12 186-186 (2019) [C1]
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2018 |
Wong ASW, Cooper PS, Conley AC, McKewen M, Fulham WR, Michie PT, Karayanidis F, 'Event-Related Potential Responses to Task Switching Are Sensitive to Choice of Spatial Filter', FRONTIERS IN NEUROSCIENCE, 12 (2018) [C1]
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Nova | |||||||||
2017 |
Cooper PS, Wong ASW, McKewen M, Michie PT, Karayanidis F, 'Frontoparietal theta oscillations during proactive control are associated with goal-updating and reduced behavioral variability', Biological Psychology, 129 253-264 (2017) [C1] Low frequency oscillations in the theta range (4¿8 Hz) are increasingly recognized as having a crucial role in flexible cognition. Such evidence is typically derived from studies ... [more] Low frequency oscillations in the theta range (4¿8 Hz) are increasingly recognized as having a crucial role in flexible cognition. Such evidence is typically derived from studies in the context of reactive (stimulus-driven) control processes. However, little research has explored the role of theta oscillations in preparatory control processes. In the current study, we explored the extent of theta oscillations during proactive cognitive control and determined if these oscillations were associated with behavior. Results supported a general role of theta oscillations during proactive cognitive control, with increased power and phase coherence during the preparatory cue interval. Further, theta oscillations across frontoparietal electrodes were also modulated by proactive control demands, with increased theta phase synchrony and power for cues signaling the need for goal updating. Finally, we present novel evidence of negative associations between behavioral variability and both power and phase synchrony across many of these frontoparietal electrodes that were associated with the need for goal updating. In particular, greater consistency in frontoparietal theta oscillations, indicated by increased theta phase and power during mixed-task blocks, resulted in more consistent task-switching performance. Together, these findings provide new insight into the temporal dynamics and functional relevance of theta oscillations during proactive cognitive control.
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2016 |
Karayanidis F, Keuken MC, Wong A, Rennie JL, de Hollander G, Cooper PS, et al., 'The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository', NeuroImage, 124 1137-1142 (2016) [C1] Our understanding of the complex interplay between structural and functional organisation of brain networks is being advanced by the development of novel multi-modal analyses appr... [more] Our understanding of the complex interplay between structural and functional organisation of brain networks is being advanced by the development of novel multi-modal analyses approaches. The Age-ility Project (Phase 1) data repository offers open access to structural MRI, diffusion MRI, and resting-state fMRI scans, as well as resting-state EEG recorded from the same community participants (n = 131, 15-35 y, 66 male). Raw imaging and electrophysiological data as well as essential demographics are made available via the NITRC website. All data have been reviewed for artifacts using a rigorous quality control protocol and detailed case notes are provided.
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2015 |
Cooper PS, Wong ASW, Fulham WR, Thienel R, Mansfield E, Michie PT, Karayanidis F, 'Theta frontoparietal connectivity associated with proactive and reactive cognitive control processes', NeuroImage, 108 354-363 (2015) [C1] Cognitive control involves both proactive and reactive processes. Paradigms that rely on reactive control have shown that frontoparietal oscillatory synchronization in the theta f... [more] Cognitive control involves both proactive and reactive processes. Paradigms that rely on reactive control have shown that frontoparietal oscillatory synchronization in the theta frequency band is associated with interference control. This study examines whether proactive control is also associated with connectivity in the same frontoparietal theta network or involves a distinct neural signature. A task-switching paradigm was used to differentiate between proactive and reactive control processes, involved in preparing to switch or repeat a task and resolving post-target interference, respectively. We confirm that reactive control is associated with frontoparietal theta connectivity. Importantly, we show that proactive control is also associated with theta band oscillatory synchronization but in a different frontoparietal network. These findings support the existence of distinct proactive and reactive cognitive control processes that activate different theta frontoparietal oscillatory networks.
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2014 |
Boecking B, Chalup SK, Seese D, Wong ASW, 'Support vector clustering of time series data with alignment kernels', Pattern Recognition Letters, 45 129-135 (2014) [C1] Time series clustering is an important data mining topic and a challenging task due to the sequences' potentially very complex structures. In the present study we experimenta... [more] Time series clustering is an important data mining topic and a challenging task due to the sequences' potentially very complex structures. In the present study we experimentally investigate the combination of support vector clustering with a triangular alignment kernel by evaluating it on an artificial time series benchmark dataset. The experiments lead to meaningful segmentations of the data, thereby providing an example that clustering time series with specific kernels is possible without pre-processing of the data. We compare our approach and the results and learn that the clustering quality is competitive when compared to other approaches. © 2014 Published by Elsevier B.V.
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2012 |
Wong AS, Chalup SK, Bhatia S, Jalalian A, Kulk JA, Nicklin SP, Ostwald M, 'Visual gaze analysis of robotic pedestrians moving in urban space', Architectural Science Review, 55 213-223 (2012) [C1]
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Show 9 more journal articles |
Conference (12 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2020 |
McKewen M, Cooper P, Wong A, Michie P, Karayanidis F, 'THETA FRONTOPARIETAL NETWORKS UNDERLYING SWITCH AND MIXING COSTS DURING TASK-SWITCHING', PSYCHOPHYSIOLOGY, ELECTR NETWORK (2020)
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2020 |
Bakhshi A, Wong ASW, Chalup S, 'End-to-end speech emotion recognition based on time and frequency information using deep neural networks', ECAI 2020 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain (2020) [E1]
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Nova | |||||||||
2019 |
Wong ASW, Jeffery R, Turner P, Sleap S, Chalup SK, 'RoboCup Junior in the Hunter Region: Driving the Future of Robotic STEM Education', RoboCup 2018: Robot World Cup XXII, Quebec, Canada (2019) [E1]
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2018 |
Aziz F, Wong ASW, Welsh JS, Chalup SK, 'Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Siem Reap, Cambodia (2018) [E1]
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2015 |
Harms L, Zavitsanou K, Meehan C, Wong A, Fullham R, Todd J, et al., 'Examination of mismatch negativity, oscillatory activity and related neurochemistry in a developmental rat model of Schizophrenia', JOURNAL OF NEUROCHEMISTRY, Cairns, AUSTRALIA (2015) [E3]
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2015 |
Karayanidis F, Cooper PS, Wong AS, Hunter M, Rennie J, Fulham WR, Michie PT, 'MIDFRONTAL THETA TO GOAL UNCERTAINTY: VARIABILITY RELATED TO INDIVIDUAL DIFFERENCES IN ANXIETY AND COGNITIVE CONTROL EFFICIENCY', PSYCHOPHYSIOLOGY, Seattle, WA (2015) [E3]
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2013 |
Wong ASW, Nicklin S, Hong K, Chalup SK, Walla P, 'Robot emotions generated and modulated by visual features of the environment', IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC), Singapore, SINGAPORE (2013) [E1]
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2011 |
Wong AS, Chalup SK, Bhatia S, Jalalian A, Kulk JA, Ostwald M, 'Humanoid robots for modelling and analysing visual gaze dynamics of pedestrians moving in urban space', Conference Proceedings 45th Annual Conference of the Australian and New Zealand Architectural Science Association, Sydney, NSW (2011) [E1]
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2008 |
Wong AS, Chalup SK, 'Towards visualisation of sound-scapes through dimensionality reduction', IEEE International Joint Conference on Neural Networks, 2008 Proceedings, Hong Kong (2008) [E1]
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2008 |
Henderson N, Nicklin SP, Wong AS, Kulk JA, Chalup SK, King R, et al., 'The 2008 NUManoids Team Report', RoboCup. Participating Teams 2008. Downloads, Suzhou, China (2008) [E2]
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2008 |
Wong AS, Chalup SK, 'Sound-scapes for robot localisation through dimensionality reduction', Proceedings of the 2008 Australasian Conference on Robotics & Automation, Canberra, ACT (2008) [E1]
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Show 9 more conferences |
Grants and Funding
Summary
Number of grants | 2 |
---|---|
Total funding | $23,775 |
Click on a grant title below to expand the full details for that specific grant.
20181 grants / $20,000
How transient is a transient ischemic attack (TIA)? Frontal-network profiles as indices of sustained cognitive impairment post-TIA$20,000
Funding body: Hunter Medical Research Institute
Funding body | Hunter Medical Research Institute |
---|---|
Project Team | Professor Frini Karayanidis, Doctor Patrick Cooper, Doctor Aaron Wong, Doctor Andrew Bivard, Conjoint Professor Chris Levi |
Scheme | Project Grant |
Role | Investigator |
Funding Start | 2018 |
Funding Finish | 2018 |
GNo | G1800702 |
Type Of Funding | C3300 – Aust Philanthropy |
Category | 3300 |
UON | Y |
20161 grants / $3,775
Task-switching is not EZ: Toward development of appropriate models of cognitive flexibility $3,775
Funding body: Keats Endowment Research Fund
Funding body | Keats Endowment Research Fund |
---|---|
Project Team | Doctor Patrick Cooper, Doctor Aaron Wong, Professor Frini Karayanidis |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | G1501539 |
Type Of Funding | C3200 – Aust Not-for Profit |
Category | 3200 |
UON | Y |
Research Supervision
Number of supervisions
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2021 | PhD | Speech Emotion Recognition Using Deep Neural Networks | PhD (Computer Science), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2019 | PhD | Manifold Alignment through Deep Autoencoders | PhD (Computer Science), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
Research Projects
Medical Pattern Recognition 2010 -
Our research in medical pattern recognition employs machine learning for various aspects of medical image and data analysis. The focus is on the application and development of new and state-of-the art technologies. In recent years deep learning has become of central importance. Another application domain has been technology development for the aged care and independent living domain.
Grants
ANNES 2001 New Zealand 22-24 November, 2001
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Stephan Chalup |
Scheme | Travel Grant |
Application of spiking neural networks to robot locomotion control
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Stephan Chalup, Emeritus Professor Rick Middleton |
Scheme | Multi-Year Project Grant Scholarship |
Deep learning for MR-only head and neck radiotherapy planning
Funding body: Varian Medical Systems, Inc.
Funding body | Varian Medical Systems, Inc. |
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Scheme | Research Grant |
Novel liver parenchyma segmentation for liver disease diagnosis using texture analysis and deformable surface models
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Suhuai Luo, Professor Stephan Chalup |
Scheme | Pilot Grant |
Project EVA: an environmentally responsible facility for interdisciplinary supercomputing applications
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Pablo Moscato, Professor Regina Berretta, Laureate Professor Jon Borwein, Conjoint Professor Keith Jones, Conjoint Professor Chris Levi, Professor Mark Parsons, Professor Michael Ostwald, Emeritus Professor Hugh Craig, Conjoint Professor Peter Greer, Professor Stephan Chalup |
Scheme | Equipment Grant |
Entrepreneurs Programme - Data Analytics using Kernel machines in Cancer Diagnosis
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Description | TruScreen Pty Ltd |
Project Team | Professor Stephan Chalup, Mr Josiah Walker |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Publications
Chalup SK, 'Algorithmic Models of Developmental Learning', Proceedings of the Australian Neuroscience Society 13, Sydney (2002) [E3]
Chalup SK, Middleton RH, Quinlan MJ, Wiklendt LS, 'Neurocomputational aspects of legged locomotion motor control', Proceedings of the Australian Neuroscience Society, 15 105 (2004) [C3]
Luo S, Jin JS, Chalup SK, Qian G, 'A liver segmentation algorithm based on wavelets and machine learning', Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing, CINC 2009, Wuhan, China (2009) [E1]
Hong K, Chalup SK, King RAR, 'A component based approach for classifying the seven universal facial expressions of emotion', Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing, CICAC 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, Singapore (2013) [E1]
Hong K, Chalup SK, King RAR, Ostwald MJ, 'Scene Perception using Pareidolia of Faces and Expressions of Emotion', Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC), Singapore, SINGAPORE (2013) [E1]
Khan MM, Chalup SK, Mendes A, 'Evolving Wavelet Neural Networks for Breast Cancer Classification', Conferences in Research Practice and Information Technology, Brisbane, Qld (2014) [E1]
Fountain J, Chalup SK, 'Point of regard from eye velocity in stereoscopic virtual environments based on intersections of hypothesis surfaces', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) [E1]
Khan MM, Chalup SK, Mendes A, 'Parkinson s disease data classification using evolvable wavelet neural networks', Artificial Life and Computational Intelligence. Second Australasian Conference, ACALCI 2016, Canberra, Australia (2016) [E1]
Khan MM, Mendes A, Zhang P, Chalup SK, 'Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming', NEUROCOMPUTING, 247 39-58 (2017) [C1]
Abbas A, Chalup SK, 'Group Emotion Recognition in the Wild by Combining Deep Neural Networks for Facial Expression Classification and Scene Context Analysis', ICMI 17, Proceedings of the 19th ACM International Conference on Multimodal Interaction, Glasgow, Scotland (2017) [E1]
Khan MM, Mendes A, Chalup SK, 'Evolutionary wavelet neural network ensembles for breast cancer and Parkinson s disease prediction', PLoS ONE, 13 (2018) [C1]
Astono I, Welsh JS, Chalup S, 'Adjacent Network for Semantic Segmentation of Liver CT Scans', PROCEEDINGS 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), TAIWAN, Taichung (2018) [E1]
Choi JH, Lee D, O'Connor L, Chalup S, Welsh JS, Dowling J, Greer PB, 'Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate Radiotherapy', Frontiers in Oncology, 9 (2019) [C1]
Astono IP, Welsh JS, Chalup S, Greer P, 'Optimisation of 2D U-Net Model Components for Automatic Prostate Segmentation on MRI', Applied Sciences, 10 (2020) [C1]
Gholizadeh N, Simpson J, Ramadan S, Denham J, Lau P, Siddique S, et al., 'Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI', Journal of Applied Clinical Medical Physics, 21 179-191 (2020) [C1]
Students
Program | Research Title |
---|---|
PhD College of Engineering, Science and Environment |
Investigation of Methods for Synthetic CT Generation, Evaluation and Implementation for Male and Female Pelvis MRI-only Radiotherapy |
PhD College of Engineering, Science and Environment |
Implementing Sensory Perception and Affect on Humanoid Robots Using Applications of Manifold Learning |
PhD College of Engineering, Science and Environment |
Speech Emotion Recognition Using Deep Neural Networks |
PhD College of Engineering, Science and Environment |
Machine Learning-Based Lung Nodule Detection on Chest X-Ray Radiographs |
PhD College of Engineering, Science and Environment |
Evolutionary Wavelet Neural Networks in Data Classification and Dynamic Control |
PhD College of Engineering, Science and Environment |
Manifold Alignment through Deep Autoencoders |
PhD College of Engineering, Science and Environment |
Convolutional Neural Networks for Image Segmentation in Clinical Applications |
PhD College of Engineering, Science and Environment |
Detecting Semi-Transparent Drinking Glasses and Estimating Water Levels Using Deep Learning |
Collaborators
Name | Organisation |
---|---|
Conjoint Professor Peter Brian Greer | |
Doctor John Simpson | |
Doctor Aaron Seng Wai Wong | University of Newcastle |
Edit
Research Collaborations
The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.
Country | Count of Publications | |
---|---|---|
Australia | 22 | |
United States | 5 | |
Germany | 2 | |
Canada | 1 | |
Netherlands | 1 |
News
News • 12 Oct 2023
University of Newcastle 2023 Alumni Award recipients announced
Recipients of the 2023 University of Newcastle Alumni Excellence Awards were recognised at the annual celebration last night to celebrate their accomplishments in exceptional leadership, innovation, and outstanding community contributions.
Dr Aaron Wong
Position
Honorary Lecturer
Functional Neuroimaging Laboratory Priority Research Centre for Stroke and Brain Injury
School of Psychology
College of Engineering, Science and Environment
Focus area
Computer Science and Software Engineering
Contact Details
aaron.wong@newcastle.edu.au | |
Link |
Office
Building | Behavioural Sciences Building. |
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Location | Callaghan University Drive Callaghan, NSW 2308 Australia |