
Dr David Cornforth
Conjoint Senior Lecturer
School of Electrical Engineering and Computing
- Email:david.cornforth@newcastle.edu.au
- Phone:(02) 4985 4069
Career Summary
Biography
![]() | Dr David Cornforth is a Senior Lecturer in Computing at the University of Newcastle. Research experience: Mobile apps for health improvement, heart rate variability analysis, pattern recognition. |
ACADEMIC EXPERIENCE:
Information Systems and Analytics:
- Big Data and Analytics - Statistics and Data Mining
- Software Development and Apps - C/C++, C#, Java, Matlab, Embedded systems and Micro-controllers
- Business Enterprise IT Optimization and Planning - several PhD supervisions in optimization
Computational Intelligence:
- Machine Learning - PhD in novel Neural Networks
- Artificial Intelligence - many publications and PhD students in Genetic Algorithms
Smart, Secure Infrastructure:
- Cyber-Security - PhD supervision in malware protection
- Internet of Things - Embedded systems design and programming
e-Health and Wellbeing:
- Assistive Technologies - Serious games for stroke rehabilitation
- Medical Signal Processing - 15 years experience and many publications in heart rate variability and image processing
Electric Energy Transformed:
- Clean energy and Electrical systems - Research Scientist with CSIRO on optimisation of renewable energy systems and micro-grids
RECENT PROJECTS
Intelligent Avatars for Health Improvement: A multidisciplinary project involving Health, Computing and User Experience Design to create empathic avatars, measurement and gamification to transform health promotion into compelling experiences to engage users in new forms of intervention to solve the problems of chronic disease and escalating costs of health care.
Feature selection for supervised and unsupervised data mining: Feature selection to improve automated classification is well established, but feature selection for clustering is more problematic, because there is no no 'right' answer. Partition of a data set into clusters arises from various motivations. However, numerical measures of cluster quality can be used is association with search algorithms, including evolutionary methods.
Analysis of Heart Rate Variability using Multi Spectral Entropy Measures: Heart rate can be measured with simple equipment and does not provide the full ECG signal. However, there is much information in the beat to beat (RR) interval. Heart rate variability has been analysed with time- and frequency-domain methods, but more recent nonlinear analysis has shown an increased sensitivity for identifying risk of future morbidity and mortality in cardiac patients.
Qualifications
- PhD, University of Nottingham - UK
- Bachelor of Science (Electrical & Electronic Eng), Trent Polytechnic
- Graduate Certificate in University Teach & Learn, University of New South Wales
Keywords
- Applied Machine Intelligence
- Artificial Life
- Data Analytics
- Data Mining
- Electrical Networks
- Evolutionary Computation
- Games Design
- Health informatics
- Internet of Things
- Mobile App Development
- Multi agent systems
- Optimisation
- Pattern recognition
Fields of Research
Code | Description | Percentage |
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080109 | Pattern Recognition and Data Mining | 25 |
080702 | Health Informatics | 50 |
080199 | Artificial Intelligence and Image Processing not elsewhere classified | 25 |
Professional Experience
UON Appointment
Title | Organisation / Department |
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Senior Lecturer | University of Newcastle School of Design Communication and IT Australia |
Academic appointment
Dates | Title | Organisation / Department |
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1/11/2005 - 1/4/2008 | Senior Lecturer | Australian Defence Force Academy School of Engineering and Information Technology Australia |
1/12/1997 - 1/6/2000 | Professional Officer | University of Newcastle School of Electrical Engineering and Computing Australia |
1/3/2014 - | Visiting Fellow | The University of New South Wales Australia |
1/6/2000 - 1/11/2005 |
Senior Lecturer Science and Agriculture |
Charles Sturt University School of Environmental and Information Sciences |
1/4/2008 - 14/3/2014 | Senior Lecturer (conjoint) | Australian Defence Force Academy School of Engineering and Information Technology Australia |
Professional appointment
Dates | Title | Organisation / Department |
---|---|---|
16/4/2008 - 13/1/2012 | Research Scientist | CSIRO - Energy Technology |
Teaching
Code | Course | Role | Duration |
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INFT6009 |
Cloud Computing and Mobile Applications for the Enterprise The University of Newcastle |
Course Coordinator, Lecturer | 1/1/0001 - 2/2/2050 |
INFT2012 |
Application Programming Faculty of Science and Information Technology,The University of Newcastle |
Coordinator, Lecturer | 1/1/0001 - 2/2/2050 |
INFT2051 |
Mobile Application Programming School of Design, Communication & IT, University of Newcastle This course builds on students’ basic programming skills to develop the knowledge and skills used to develop applications utilising touch interfaces, mobile platforms and event-driven programming. |
Coordinator | 1/1/0001 - 1/1/2050 |
INFT1004 |
Introduction to Programming Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
Course Coordinator | 1/1/0001 - 2/2/2050 |
INFT2050 |
Mobile Applications and the Cloud Faculty of Science and Information Technology,The University of Newcastle |
Coordinator, Lecturer | 1/1/0001 - 2/2/2050 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Book (2 outputs)
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2017 |
Jelinek HF, Cornforth DJ, Khandoker AH, Introduction to ECG time series variability analysis: A simple overview (2017) © 2018 by Taylor & Francis Group, LLC. Physiological rhythms or oscillations are the manifestation of a complex physiological system. The clinical community has long recogni... [more] © 2018 by Taylor & Francis Group, LLC. Physiological rhythms or oscillations are the manifestation of a complex physiological system. The clinical community has long recognized that alterations in physiological rhythms are associated with disease and therefore have clinical value. Oscillations in cardiovascular systems are reflected in electrocardiogram (ECG) time series variability. For example, beat to beat variability in heart rate or heart rate variability (HRV) analysis has experienced a tremendous increase in interest from both the engineering community and medical profession, as well as from the social science, economic, and health sectors. What follows is a brief overview of the chapters included in this book, noting that each chapter was a team effort by the various laboratories around the globe that work in this field. This book is organized to provide a historical overview of the domain by Andreas Voss in Chapter 2 and a basic overview of HRV analysis and review of the basics of biosignal processing by Dragana Bajic and her coauthors in Chapter 3. Chapter 4 is aimed at readers who are new to this field or who need an overview of the basic concepts. From these introductory chapters, the book moves on to provide some groundbreaking computational applications by Gaetano Valenza and colleagues (Chapter 4) as well as the laboratory of Alberto Porta and colleagues in Chapter 5. Danuta Makowiec and coauthors discuss how graph theory may be applied to HRV analysis in Chapter 6. Many of these applications require on-site coding and Mika Tarvainen introduces Kubios in Chapter 7, which is a shareware program available from the World Wide Web that provides the opportunity to investigate biosignals processing and obtain the fundamental time and frequency domain measures as well as some nonlinear attributes of the biosignals. This software includes preprocessing options and time and frequency domain analysis as well as nonlinear HRV analysis options, for those that require a user-friendly application for HRV analysis. The remainder of the book then concentrates on several areas of clinical applications with the aim to introduce the reader to the utility of HRV. In some cases, other biosignal variability analysis methods are discussed, such as blood pressure and electroencephalogram (EEG) analysis, which can be 2coupled to heart rate tachograms. An important aspect of the clinical chapters is the inclusion by the authors of explanations of why they used the algorithms and they also propose more advanced methods that address the research problem better.
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1995 | Miles T, Cornforth D, The Hunter Epidemiological Profile, Hunter Area Health Service, Newcastle, Australia, 50 (1995) |
Chapter (11 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2017 |
Minichiello M, Jelinek H, 'Monitoring patients during neurorehabilitation following central or peripheral nervous system injury: dynamic difficulty adaptation', ECG Time Series Variability Analysis Engineering and Medicine, CRC Press, Boca Raton, Florida 281-297 (2017)
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2017 |
Jelinek HF, Cornforth DJ, 'Heart rate complexity associated with diabetic cardiac neuropathy', Complexity and Nonlinearity in Cardiovascular Signals, Springer, Cham, Switzerland 327-344 (2017) [B1]
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2015 |
Cornforth DJ, Koenig A, Riener R, August K, Khandoker AH, Karmaker C, et al., 'The Role of Serious Games in Robot Exoskeleton-assisted Rehabilitation of Stroke Patients', Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement, Springer, Cham, Switzerland 233-254 (2015) [B1]
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2015 |
Cornforth DJ, Adam MTP, 'Cluster Evaluation, Description, and Interpretation for Serious Games: Player profiling in Minecraft', Serious Games Analytics: Methodologies for Performance Measurement, Assessment and Improvement, Springer International Publishing, Switzerland 135-155 (2015) [B1]
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2012 | Jelinek HF, Cornforth DJ, 'Fractal analysis in clinical screening and investigation', Classification and Application of Fractals. New Research, Nova Science Publishers, New York 277-301 (2012) [B1] | ||||||||||
2012 | Cornforth DJ, Jelinek HF, 'Monofractal and multifractal analysis for interpretation of function-structure relationships in finite size biological material', Classification and Application of Fractals. New Research, Nova Science Publishers, New York 303-324 (2012) [B1] | ||||||||||
2012 | Jelinek HF, Milosevic NT, Ristanovic D, Cornforth DJ, 'Image processing in the analysis of neuronal dendritic branching patterns: Does structure follow function across different species?', Image Processing: Methods, Applications and Challenges, NOVA Publishers, New York 163-178 (2012) [B1] | ||||||||||
2008 |
Cornforth D, Green DG, 'Modularity and complex adaptive systems', Intelligent Complex Adaptive Systems 75-104 (2008) [B2] Modularity is ubiquitous in complex adaptive systems. Modules are clusters of components that interact with their environment as a single unit. They provide the most widespread me... [more] Modularity is ubiquitous in complex adaptive systems. Modules are clusters of components that interact with their environment as a single unit. They provide the most widespread means of coping with complexity, in both natural and artificial systems. When modules occur at several different levels, they form a hierarchy. The effects of modules and hierarchies can be understood using network theory, which makes predictions about certain properties of systems such as the effects of critical phase changes in connectivity. Modular and hierarchic structures simplify complex systems by reducing long-range connections, thus constraining groups of components to act as a single component. In both plants and animals, the organisation of development includes modules, such as branches and organs. In artificial systems, modularity is used to simplify design, provide fault tolerance, and solve difficult problems by decomposition. © 2008, IGI Global.
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Show 8 more chapters |
Journal article (51 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2019 |
Noorbergen TJ, Adam M, Attia JR, Cornforth D, Minichiello M, 'Exploring the design of mHealth systems for health behavior change using mobile biosensors', Communications of the Association for Information Systems, 44 944-981 (2019) [C1]
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2019 |
Carricarte Naranjo C, Marras C, Visanji NP, Cornforth DJ, Sanchez-Rodriguez L, Schüle B, et al., 'Increased markers of cardiac vagal activity in leucine-rich repeat kinase 2-associated Parkinson s disease', Clinical Autonomic Research, 29 603-614 (2019) [C1]
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2019 |
Li X, Chiong R, Hu Z, Cornforth D, Page MJ, 'Improved Representations of Heterogeneous Carbon Reforming Catalysis Using Machine Learning', JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 15 6882-6894 (2019) [C1]
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2019 |
Jelinek HF, Cornforth DJ, Tarvainen MP, Khalaf K, 'Investigation of linear and nonlinear properties of a heartbeat time series using multiscale Rényi entropy', Entropy, 21 (2019) [C1]
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2018 |
Rouast PV, Adam MTP, Chiong R, Cornforth DJ, Lux E, 'Remote heart rate measurement using low-cost RGB face video: A technical literature review', Frontiers of Computer Science, 12 858-872 (2018) [C1]
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2018 |
Jelinek HF, Spence I, Cornforth DJ, Tarvainen MP, Russell J, 'Depression and cardiac dysautonomia in eating disorders', EATING AND WEIGHT DISORDERS-STUDIES ON ANOREXIA BULIMIA AND OBESITY, 23 369-374 (2018) [C1]
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2017 |
Lo SL, Cambria E, Chiong R, Cornforth D, 'Multilingual sentiment analysis: from formal to informal and scarce resource languages', Artificial Intelligence Review, 48 499-527 (2017) [C1]
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2017 |
Lo SL, Chiong R, Cornforth D, 'An unsupervised multilingual approach for online social media topic identification', EXPERT SYSTEMS WITH APPLICATIONS, 81 282-298 (2017) [C1]
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2017 |
Jelinek H, Adam MTP, Krones R, Cornforth DJ, 'Diagnostic accuracy of random ECG in primary care for early, asymptomatic cardiac autonomic neuropathy', Journal of Diabetes Science and Technology, 11 1165-1173 (2017) [C1]
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2016 |
Lo SL, Chiong R, Cornforth D, 'Ranking of High-Value Social Audiences on Twitter', Decision Support Systems, 85 34-48 (2016) [C1]
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2016 |
Lo SL, Cambria E, Chiong R, Cornforth D, 'A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection', Knowledge-Based Systems, 105 236-247 (2016) [C1] © 2016 Elsevier B.V. All rights reserved. Due to the huge volume and linguistic variation of data shared online, accurate detection of the sentiment of a message (polarity detecti... [more] © 2016 Elsevier B.V. All rights reserved. Due to the huge volume and linguistic variation of data shared online, accurate detection of the sentiment of a message (polarity detection) can no longer rely on human assessors or through simple lexicon keyword matching. This paper presents a semi-supervised approach in constructing essential toolkits for analysing the polarity of a localised scarce-resource language, Singlish (Singaporean English). Corpus-based bootstrapping using a multilingual, multifaceted lexicon was applied to construct an annotated testing dataset, while unsupervised methods such as lexicon polarity detection, frequent item extraction through association rules and latent semantic analysis were used to identify the polarity of Singlish n-grams before human assessment was done to isolate misleading terms and remove concept ambiguity. The findings suggest that this multilingual approach outshines polarity analysis using only the English language. In addition, a hybrid combination of the Support Vector Machine and a proposed Singlish Polarity Detection algorithm, which incorporates unigram and n-gram Singlish sentic patterns with other multilingual polarity sentic patterns such as negation and adversative, is able to outperform other approaches in comparison. The promising results of a pooled testing dataset generated from the vast amount of unannotated Singlish data clearly show that our multilingual Singlish sentic pattern approach has the potential to be adopted in real-world polarity detection.
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2015 |
Cornforth D, Campbell P, Nesbitt K, Robinson D, Jelinek HF, 'Prediction of game performance in Australian football using heart rate variability measures', International Journal of Signal and Imaging Systems Engineering, 8 80-88 (2015) [C1] Copyright © 2015 Inderscience Enterprises Ltd. In-match player performance, measured by data from Geographical Positioning System (GPS) devices, was predicted with a correlation c... [more] Copyright © 2015 Inderscience Enterprises Ltd. In-match player performance, measured by data from Geographical Positioning System (GPS) devices, was predicted with a correlation coefficient of greater than 0.7. Predictions were based on heart rate variability measures and used advanced regression techniques based on machine learning. These techniques included methods for the selection of variables to be included in the regression study. Results indicate that variable selection using a wrapper subset method with a genetic algorithm outperformed both principal components analysis and the default method of using all variables. The success of prediction of match performance suggests a potential for new tools to assist the team coach in player selection and management of player training. This work also provides the possibility for a training programme to be adjusted specifically to meet the challenges of the size of the playing field and the temperature likely to be encountered on the day of the match.
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2015 |
Cornforth D, Jelinek H, 'Atypical Cardiac Autonomic Neuropathy Identified with Entropy Measures', Cardiology and Angiology: An International Journal, 3 1-11 (2015) [C1]
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2015 |
Cornforth D, Jelinek HF, Tarvainen M, 'A Comparison of Nonlinear Measures for the Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability', ENTROPY, 17 1425-1440 (2015) [C1]
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2015 |
Jelinek HF, Abawajy JH, Cornforth DJ, Kowalczyk A, Negnevitsky M, Chowdhury MU, et al., 'Multi-layer Attribute Selection and Classification Algorithm for the Diagnosis of Cardiac Autonomic Neuropathy Based on HRV Attributes', AIMS MEDICAL SCIENCE, 2 396-409 (2015)
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2015 |
Khalaf K, Jelinek HF, Robinson C, Cornforth DJ, Tarvainen MP, Al-Aubaidy H, 'Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease', Frontiers in Physiology, 6 (2015) [C1] © 2015 Khalaf, Jelinek, Robinson, Cornforth, Tarvainen and Al-Aubaidy. Background: Physiological interactions are abundant within, and between, body systems. These interactions ma... [more] © 2015 Khalaf, Jelinek, Robinson, Cornforth, Tarvainen and Al-Aubaidy. Background: Physiological interactions are abundant within, and between, body systems. These interactions may evolve into discrete states during pathophysiological processes resulting from common mechanisms. An association between arterial stenosis, identified by low ankle-brachial pressure index (ABPI) and cardiovascular disease (CVD) as been reported. Whether an association between vascular calcification-characterized by high ABPI and a different pathophysiology-is similarly associated with CVD, has not been established. The current study aims to investigate the association between ABPI, and cardiac rhythm, as an indicator of cardiovascular health and functionality, utilizing heart rate variability (HRV). Methods and Results: Two hundred and thirty six patients underwent ABPI assessment. Standard time and frequency domain, and non-linear HRV measures were determined from 5-min electrocardiogram. ABPI data were divided into normal (n = 101), low (n = 67) and high (n = 66) and compared to HRV measures.(DFAa1 and SampEn were significantly different between the low ABPI, high ABPI and control groups (p < 0.05). Conclusion: A possible coupling between arterial stenosis and vascular calcification with decreased and increased HRV respectively was observed. Our results suggest a model for interpreting the relationship between vascular pathophysiology and cardiac rhythm. The cardiovascular system may be viewed as a complex system comprising a number of interacting subsystems. These cardiac and vascular subsystems/networks may be coupled and undergo transitions in response to internal or external perturbations. From a clinical perspective, the significantly increased sample entropy compared to the normal ABPI group and the decreased and increased complex correlation properties measured by DFA for the low and high ABPI groups respectively, may be useful indicators that a more holistic treatment approach in line with this more complex clinical picture is required.
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2015 |
Lo SL, Chiong R, Cornforth D, 'Using Support Vector Machine Ensembles for Target Audience Classification on Twitter', PLOS ONE, 10 (2015) [C1]
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2015 |
Gu X, Blackmore K, Cornforth D, Nesbitt K, 'Modelling Academics as Agents: An Implementation of an Agent-Based Strategic Publication Model', Journal of Artificial Societies and Social Simulation, 18 (2015) [C1]
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2015 |
Mayrhofer-Reinhartshuber M, Cornforth DJ, Ahammer H, Jelinek HF, 'Multiscale analysis of tortuosity in retinal images using wavelets and fractal methods', Pattern Recognition Letters, 68 132-138 (2015) [C1] © 2015 Elsevier B.V. In many retinopathies one of the first alterations which can be detected is tortuosity of the retinal vessels. Already published techniques focused on the rep... [more] © 2015 Elsevier B.V. In many retinopathies one of the first alterations which can be detected is tortuosity of the retinal vessels. Already published techniques focused on the representation of the vessel as a mathematical curve, which provided good results but problems due to skeletonization or the choice of the sampling rate were shown recently. We present here a new algorithm for the automated grading of tortuosity, which we have applied to images created from the RET-TORT database. The algorithm is based on a combination of multiscale wavelet and nonlinear derived analysis and can be directly applied to images of segmented vessels without suffering from influences of imperfect mathematical abstractions or poorly chosen sampling rates. This improves reproducibility and is advantageous in clinical practice for identification of tortuosity and treatment decision making. Our method is robust against noise and provides equally good results for arterioles and venules, in line with manual rankings by specialists.
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2014 |
Abbey C, Cornforth D, Hatziargyriou N, Hirose K, Kwasinski A, Kyriakides E, et al., 'Powering Through the Storm', IEEE POWER & ENERGY MAGAZINE, 12 67-76 (2014) [C3]
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2014 |
Cornforth DJ, Robinson DJ, Spence I, Jelinek HF, 'Heart rate recovery in decision support for high performance athlete training schedules', Interdisciplinary Journal of Information, Knowledge, and Management, 9 194-207 (2014) [C1]
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2014 |
Jelinek HF, Kelarev A, Robinson DJ, Stranieri A, Cornforth DJ, 'Using meta-regression data mining to improve predictions of performance based on heart rate dynamics for Australian football', Applied Soft Computing Journal, 14 81-87 (2014) [C1] This work investigates the effectiveness of using computer-based machine learning regression algorithms and meta-regression methods to predict performance data for Australian foot... [more] This work investigates the effectiveness of using computer-based machine learning regression algorithms and meta-regression methods to predict performance data for Australian football players based on parameters collected during daily physiological tests. Three experiments are described. The first uses all available data with a variety of regression techniques. The second uses a subset of features selected from the available data using the Random Forest method. The third used meta-regression with the selected feature subset. Our experiments demonstrate that feature selection and meta-regression methods improve the accuracy of predictions for match performance of Australian football players based on daily data of medical tests, compared to regression methods alone. Meta-regression methods and feature selection were able to obtain performance prediction outcomes with significant correlation coefficients. The best results were obtained by the additive regression based on isotonic regression for a set of most influential features selected by Random Forest. This model was able to predict athlete performance data with a correlation coefficient of 0.86 (p < 0.05). © 2013 Published by Elsevier B.V. All rights reserved.
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2014 |
Tarvainen MP, Laitinen TP, Lipponen JA, Cornforth DJ, Jelinek HF, 'Cardiac autonomic dysfunction in type 2 diabetes - effect of hyperglycemia and disease duration.', Frontiers in Endocrinology, 5 1-9 (2014) [C1]
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2014 |
Cornforth DJ, Tarvainen MP, Jelinek HF, 'How to Calculate Renyi Entropy from Heart Rate Variability, and Why it Matters for Detecting Cardiac Autonomic Neuropathy.', Frontiers in Bioengineering and Biotechnology, 2 1-8 (2014) [C1]
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2013 |
Du Y, Lu DD-C, James G, Cornforth DJ, 'Modeling and analysis of current harmonic distortion from grid connected PV inverters under different operating conditions', Solar Energy, 94 182-194 (2013) [C1]
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2013 |
Rowe CN, Summers TJ, Betz RE, Cornforth DJ, Moore TG, 'Arctan Power-Frequency Droop for Improved Microgrid Stability', IEEE Transactions on Power Electronics, 28 3747-3759 (2013) [C1]
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2013 |
Ursani Z, Essam D, Cornforth D, Stocker R, 'Enhancements to the Localized Genetic Algorithm for Large Scale Capacitated Vehicle Routing Problems', International Journal of Applied Evolutionary Computation, 4 17-38 (2013) [C1]
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2013 |
Williams P, Nesbitt K, Eidels A, Washburn M, Cornforth D, 'Evaluating Player Strategies in the Design of a Hot Hand Game', GSTF Journal on Computing (JoC), 3 (2013) [C1]
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2007 |
Spennemann D, Cornforth D, Atkinson J, 'A choice of terminals: Spatial patterning in computer laboratories', Campus-Wide Information Systems, 24 76-96 (2007) [C3] Purpose ¿ This paper seeks to examine the spatial patterns of student use of machines in each laboratory to whether there are underlying commonalities. Design/methodology/approach... [more] Purpose ¿ This paper seeks to examine the spatial patterns of student use of machines in each laboratory to whether there are underlying commonalities. Design/methodology/approach ¿ The research was carried out by assessing the user behaviour in 16 computer laboratories at a regional university in Australia. Findings ¿ The study found that computers within easy access to doors are disproportionately more used than computer that are further away, irrespective of other ¿incentive¿ such as windows, wall anchoring or security camera positioning. Practical implications ¿ This paper has implications for any division within a university environment responsible for the spatial positioning of computer in a student laboratory. Originality/value ¿ Previous research of the use of computer laboratories in schools and universities has focussed on educational issues. None of the studies so far have considered matters of situational territoriality and spatial patterning that govern human behaviour. © 2007, Emerald Group Publishing Limited
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2007 |
Cornforth DJ, 'An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system', 2007 IEEE Congress on Evolutionary Computation, CEC 2007, 1732-1739 (2007) Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, constra... [more] Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, constraints or resources may change before a solution is obtained. This work examines an approach that combines a multi agent system based on a simulated market with evolutionary optimization. Previous work has showed the efficacy of such a hybrid approach, where the characteristics of agents are subject to evolutionary optimization. This work compares the multi agent only, and the hybrid system, when the problem is subject to random change during the attempt to find a solution. Results confirm the advantages of evolutionary optimization of agent rules in a static or dynamic environment, both in terms of tasks completed within a given time, and the cost per task completed. Surprisingly, an optimum amount of noise exists, that improves the performance of the multi agent or hybrid trading model. ©2007 IEEE.
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2007 |
Spennemann DHR, Atkinson J, Cornforth D, 'Sessional, weekly and diurnal patterns of computer lab usage by students attending a regional University in Australia', COMPUTERS & EDUCATION, 49 726-739 (2007)
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2007 |
Spennemann DHR, Atkinson J, Cornforth D, 'Voting with their seats: Computer laboratory design and the casual user', BEHAVIOUR & INFORMATION TECHNOLOGY, 26 409-420 (2007)
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2006 |
Cornforth D, Atkinson J, Spennemann DHR, 'Configuration and management of a cluster computing facility in undergraduate student computer laboratories', Campus-Wide Information Systems, 23 15-23 (2006) Purpose - Many researchers require access to computer facilities beyond those offered by desktop workstations. Traditionally, these are offered either through partnerships, to sha... [more] Purpose - Many researchers require access to computer facilities beyond those offered by desktop workstations. Traditionally, these are offered either through partnerships, to share the cost of supercomputing facilities, or through purpose-built cluster facilities. However, funds are not always available to satisfy either of these options, and university departments are under increasing pressure to obtain the maximum return on investment. The purpose of this paper is to describe the development of a low-cost cluster computing facility using existing workstations in undergraduate computing laboratories. Design/methodology/approach - Drawing on a previous feasibility study, experiments were conducted with cluster configurations of increasing size to determine the benefits and drawbacks. This was followed by identification and resolution of problems, and assessment of effects upon existing users of the computers. Findings - A working cluster was built to supply the needs of researchers, with almost no impact upon existing users and at very little cost. Research limitations/implications - At present, the workstations can only be used as a "processor farm" and it is unclear how MPI type processing may be achieved, because there is no guarantee of the number of workstations available at any specific time. Practical implications - Any institution requiring access to high performance computing can build a useful resource from existing computers at minimal cost. The usefulness of the resource depends on existing computers being under utilised. Originality/value - The novel aspect of this work is that the facility was built using existing student computing laboratories. © Emerald Group Publishing Limited.
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2005 |
Cornforth D, Green DG, Newth D, 'Ordered asynchronous processes in multi-agent systems', PHYSICA D-NONLINEAR PHENOMENA, 204 70-82 (2005)
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2005 |
Atkinson JS, Spenneman DHR, Cornforth D, 'Redirecting under-utilised computer laboratories into cluster computing facilities', Campus-Wide Information Systems, 22 201-209 (2005) Purpose - To provide administrators at an Australian university with data on the feasibility of redirecting under-utilised computer laboratories facilities into a distributed high... [more] Purpose - To provide administrators at an Australian university with data on the feasibility of redirecting under-utilised computer laboratories facilities into a distributed high performance computing facility. Design/methodology/approach - The individual log-in records for each computer located in the computer laboratories at the university were investigated. The log-in data were investigated over a 24-hour/seven day a week period between June 2001 and August 2003. The data were analysed in terms of student access to the computer facilities during "normal" business hours, weekend times, and the semester breaks. Findings - The computer laboratories were hugely under-utilised, with less than 10 per cent of all log-ins occurring during off peak times (7 pm-8 am). Similarly, only weekends were likewise under-utilised. This strongly suggests that this spare computer capacity could be used for alternate means during these times. Research limitations/implications - Future research needs to determine whether the needs of the general computer laboratory user who requires a stable and secure system can coexist with the users of a high performance computer facility where different software and differently configured computer systems are required. Practical implications - This research has the potential for universities to utilise more effectively their computer laboratory resources by allocating under-utilised resources into other projects, such as to a high performance computing facility (HPCF). The cost of these re-allocated resources would be a fraction of the cost compared to a scenario in which a separate dedicated HPCF had to be provided. Originality/value - This paper suggests an alternate utilisation of the spare computing laboratory resources available at many universities. © Emerald Group Publishing Limited.
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2005 |
Cornforth DJ, Jelinek HJ, Leandro JJG, Soares JVB, Cesar RM, Cree MJ, et al., 'Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy', Complexity International, 11 50-61 (2005) Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina. This paper des... [more] Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina. This paper describes the development of segmentation methodology in the processing of retinal blood vessel images obtained using non-mydriatic colour photography. The methods used include wavelet analysis, supervised classifier probabilities and adaptive threshold procedures, as well as morphology-based techniques. We show highly accurate identification of blood vessels for the purpose of studying changes in the vessel network that can be utilized for detecting blood vessel diameter changes associated with the pathophysiology of diabetes. In conjunction with suitable feature extraction and automated classification methods, our segmentation method could form the basis of a quick and accurate test for diabetic retinopathy, which would have huge benefits in terms of improved access to screening people for risk or presence of diabetes. © Copyright 2005.
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2005 |
Cornforth D, Green DG, Awburn J, 'Weasel world: A simple artificial environment for investigating open-ended evolution', Complexity International, 11 43-51 (2005) Weasel World is an artificial life environment for simulating open ended evolution. It consists of a genetic algorithm embedded in a pseudo spatial context, composed of the text o... [more] Weasel World is an artificial life environment for simulating open ended evolution. It consists of a genetic algorithm embedded in a pseudo spatial context, composed of the text of Shakespeare's play Hamlet. The novelty of Weasel World is that it combines features from many evolutionary algorithms with an operation that increases genotype length, placement of individuals within a spatial context, the notion of territory, and interaction with global environmental parameters. Individuals interact with others in their territory, competing for the right to reproduce in a modified tournament selection. Weasel World demonstrates phase changes, clustering and self-organization, as well as showing the importance of considering the interaction between local phenomena and global constraints. The evolutionary process undergoes different phases arising from independent growth, a competitive phase and a lack of nutrient. © Copyright 2005. |
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2003 |
Stocker R, Cornforth D, Green DG, 'A simulation of the impact of media on social cohesion', ADVANCES IN COMPLEX SYSTEMS, 6 349-359 (2003)
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2002 |
Stocker R, Cornforth D, Bossomaier TRJ, 'Network structures and agreement in social network simulations', JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 5 (2002)
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Show 48 more journal articles |
Conference (97 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2020 |
Bockeler H, Cornforth DJ, Drummond J, Olling L, Jelinek HF, 'The Effectiveness of Paced Breathing versus Game-Biofeedback on Heart Rate Variability: An Observational Study', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020, Pisa, Italy (2020) [E1]
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2020 |
Naranjo CC, Marras C, Visanji NP, Cornforth DJ, Sanchez-Rodriguez L, Schule B, et al., 'Heart rate variability biomarkers of leucine-rich repeat kinase 2-associated Parkinson's disease', 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020, Pisa, Italy (2020) [E1]
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2019 |
Matthias P, Cornforth D, Scott N, 'Creating Digitally-Enhanced Acoustic Performance Spaces for Pipe Organ and Choir', CreateWorld 2018: Creativity in Progress. Conference Proceedings, Queensland College of Art, Griffith University, Brisbane (2019) [E1]
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2018 |
Carricarte-Naranjo C, Cornforth DJ, Sanchez-Rodriguez LM, Brown M, Estévez M, Machado A, Jelinek HF, 'Rényi and permutation entropy analysis for assessment of cardiac autonomic neuropathy', EMBEC & NBC 2017. Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland (2018) [E1]
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2017 |
Rouast PV, Adam MTP, Cornforth DJ, Lux E, Weinhardt C, 'Using contactless heart rate measurements for real-time assessment of affective states', Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2016, Gmunden, Austria (2017) [E1]
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2017 |
Aljaroodi HM, Adam MTP, Chiong R, Cornforth DJ, Minichiello M, 'Empathic avatars in stroke rehabilitation: A co-designed mHealth artifact for stroke survivors', Designing the Digital Transformation. 12th International Conference, DESRIST 2017, Karlsruhe, Germany (2017) [E1]
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2016 |
Mueller MB, Adam MTP, Cornforth DJ, Chiong R, Kramer J, Weinhardt C, 'Selecting physiological features for predicting bidding behavior in electronic auctions', PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), Koloa, HI (2016) [E1]
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2016 |
Trisha NES, Jelinek HF, Tarvainen MP, Cornforth DJ, Alam DS, Smith M, 'Socioeconomic status, age and heart rate variability in a Bangladeshi community', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida (2016) [E1]
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2015 |
Lo SL, Cornforth D, Chiong R, 'Use of a High-Value Social Audience index for target audience identification on Twitter', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) [E1] © Springer International Publishing Switzerland 2015. With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. Th... [more] © Springer International Publishing Switzerland 2015. With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of an account owner and its list of followers through various text mining methods and segment the list of followers via an index. We have termed this index as the High-Value Social Audience (HVSA) index. This HVSA index enables a company or organisation to devise their marketing and engagement plan according to available resources, so that a high-value social audience can potentially be transformed to customers, and hence improve the return on investment.
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2015 |
Lo SL, Cornforth DJ, chiong R, 'Identifying the high-value social audience from Twitter through text-mining methods', Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Singapore (2015) [E1]
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2015 |
Lo SL, Cornforth DJ, Chiong R, 'Effects of training datasets on both the Extreme Learning Machine and Support Vector Machine for target Audience Identification on Twitter', Proceedings of ELM-2014 Volume 1, Singapore (2015) [E1]
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2015 |
Jelinek HF, Cornforth DJ, Tarvainen MP, Miloevic NT, 'Multiscale renyi entropy and cardiac autonomic neuropathy', Proceedings - 2015 20th International Conference on Control Systems and Computer Science, CSCS 2015 (2015) [E1] © 2015 IEEE. Heart rate variability (HRV) is commonly analysed in respect to time and frequency domain measures as well as nonlinear measures including the fractal dimension using... [more] © 2015 IEEE. Heart rate variability (HRV) is commonly analysed in respect to time and frequency domain measures as well as nonlinear measures including the fractal dimension using information derived from ECG recordings. Increased risk of adverse cardiac events such as arrhythmia can be detected using heart rate variability analysis. Shannon entropy and the more generalized Renyi entropy provide information on the complexity of the interbeat interval differences associated with heart rate. The latter can be extended to a multiscale distribution akin to fractal analysis. Here we report the spectrum of multiscale Renyi entropy measures. Multiscale Renyi entropy has additional information to add to the common mean and variance measures and should be applied as potential early markers of arrhythmia risk.
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2015 |
Jelinek HF, Tarvainen MP, Cornforth DJ, Spence I, Russell J, 'Is a short re-feeding program effective in reducing adverse cardiac events in eating disorder patients?', Computing in Cardiology, Nice (2015) [E2]
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2014 | Jelinek HF, Cornforth DJ, Lam SP, Russell J, Spence I, 'Multiscale Cardiovascular Autonomic Modulation Following Treatment in Patients with Anorexia Nervosa', Proceedings of CinC 2014, Cambridge, USA (2014) [E2] | ||||||||||
2014 |
Tarvainen MP, Cornforth DJ, Jelinek HF, 'Principal Component Analysis of Heart Rate Variability Data in assessing Cardiac Autonomic Neuropathy', 36th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2014), Chicago, USA (2014) [E1]
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2014 |
Cornforth DJ, Tarvainen MP, Jelinek HF, 'Visualization Methods for Assisting Detection of Cardiovascular Neuropathy', The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 14), Chicago, USA (2014) [E1]
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2014 |
Simon, Cornforth DJ, 'Teaching Mobile Apps for Windows Devices Using TouchDevelop', Proceedings of the Sixteenth Australasian Computing Education Conference (ACE2014), Auckland, New Zealand (2014) [E1]
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2014 |
Cornforth DJ, Tarvainen MP, Jelinek HF, 'Automated Selection of measures of Heart Rate Variability for Detection of Early Cardiac Autonomic Neuropathy', Proceedings of CinC 2014, Cambridge, USA (2014) [E2]
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2014 |
Jelinek HJ, Alothman T, Cornforth DJ, Khalaf K, Khandoker AH, 'Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy', 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (2014) [E1] Early identification of cardiac autonomic neuropathy (CAN) leads to better treatment outcomes. Heart rate variability (HRV) analysis allows identification of CAN but is sensitive ... [more] Early identification of cardiac autonomic neuropathy (CAN) leads to better treatment outcomes. Heart rate variability (HRV) analysis allows identification of CAN but is sensitive to the length of recording and the presence of artifacts and ectopics, requiring preprocessing and consideration of length of recording. RR intervals from 10-second and 5-minute ECG recordings from patients with no CAN, early CAN and definite CAN were preprocessed using adaptive filtering with the controlling parameter c set at 0.2, 0.5 and 0.8, and time and frequency domain HRV analysis applied. Early CAN and definite CAN required different setting of c with respect to the length of recording. The 5-minute recording with c=0.2 provided the best results using RMSSD for normal versus eCAN (p=0.0007) and for eCAN versus dCAN (0.019). Clinically, this has potential use in general practice for screening patients at risk, newly diagnosed with diabetes, or for follow-up during the course of diabetes. © 2014 IEEE.
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2014 |
Cornforth DJ, Tarvainen MP, Jelinek HF, 'Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy', 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (2014) [E1] Early detection of cardiac autonomic neuropathy (CAN) is vital to provide timely health care. There are a variety of measures that can be considered for detection of CAN from the ... [more] Early detection of cardiac autonomic neuropathy (CAN) is vital to provide timely health care. There are a variety of measures that can be considered for detection of CAN from the heart beat signal, which should provide a relatively noninvasive test. In this work we consider the use of two measures based on the RR interval - the standard deviation and the Renyi Entropy. We find that caution is indicated in the use of entropy for two reasons. First, these two measures are related, so that the researcher who provides Renyi entropy as a measure may in fact be measuring only the standard deviation. Second, there are several methods for calculating Renyi entropy, so the method needs to be carefully selected to provide meaningful results. © 2014 IEEE.
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2013 |
Williams P, Nesbitt KV, Eidels A, Washburn M, Cornforth D, 'Design of a Cognitive Game: Uncovering Player Strategies in the Hot Hand Game', Proceedings of the 6th Annual International Conference on Computer Games, Multimedia and Allied Technology, Singapore (2013) [E1]
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2013 |
Tarvainen MP, Cornforth DJ, Kuoppa P, Lipponen JA, Jelinek HF, 'Complexity of heart rate variability in type 2 diabetes - Effect of hyperglycemia', Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Osaka, Japan (2013) [E1]
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2013 |
Cornforth DJ, Tarvainen MP, Jelinek HF, 'Using renyi entropy to detect early cardiac autonomic neuropathy', Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Osaka, Japan (2013) [E1]
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2013 |
Blackmore K, Nesbitt K, Cornforth D, 'Simulating stable, trending and turbulent operating environments', Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013, School of Design, Communication and IT, University of Newcastle, Newcastle, Australia (2013) [E1]
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2013 |
Cornforth D, Tarvainen M, Jelinek HF, 'Computational intelligence methods for the identification of early Cardiac Autonomic Neuropathy', Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013,, School of Design, Communication and IT, University of Newcastle, Callaghan, Australia (2013) [E1]
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2013 |
Cornforth D, Nesbitt K, 'Quality assessment of clusters of electrical disturbances: A case study', Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA, School of Design, Communication and IT, University of Newcastle, Callaghan, NSW 2308, Australia (2013) [E1]
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2012 |
Roy NK, Pota HR, Hossain MJ, Cornforth DJ, 'Impact of SCIG and DFIG type wind turbine on the stability of distribution networks: Static and dynamic aspects', 2012 11th International Conference on Environment and Electrical Engineering (EEEIC), Venice, Italy (2012) [E1]
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2011 |
Cornforth DJ, Sayeef S, Moore T, 'Beyond overcurrent protection: Distributed generation in the future grid', 2011 IEEE PES Innovative Smart Grid Technologies, ISGT Asia 2011 Conference: Smarter Grid for Sustainable and Affordable Energy Future (2011) [E1] Protection is a crucial feature of conventional electricity grids, and relies on the well understood principle of detecting elevated currents in the event of a fault. However the ... [more] Protection is a crucial feature of conventional electricity grids, and relies on the well understood principle of detecting elevated currents in the event of a fault. However the future grid is likely to incorporate a significant amount of renewable and other distributed generation, which may affect operation of protection systems. As the type of devices participating in the grid becomes more diverse, the protection environment becomes more complex, and there is a need for smart protection to complement the smart grid. This study reports on practical demonstrations of some of the issues using case studies of distributed generation, both when attached to a distribution feeder and when islanded. © 2011 IEEE.
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2011 |
Rowe CN, Summers TJ, Betz RE, Cornforth DJ, 'Small signal stability analysis of arctan power frequency droop', 2011 IEEE Ninth International Conference on Power Electronics and Drive Systems (PEDS), Singapore (2011) [E1]
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2011 |
Rowe CN, Summers TJ, Betz RE, Cornforth DJ, 'An intelligent current limiter and zero active power Injection algorithm for microgrid voltage support', 2011 IEEE Ninth International Conference on Power Electronics and Drive Systems (PEDS), Singapore (2011) [E1]
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2010 |
Rowe CN, Summers TJ, Betz RE, Cornforth D, 'A comparison of instantaneous and fryze power calculations on P-F and Q-V droop in microgrids', 20th Australasian Universities Power Engineering Conference:, Christchurch, NZ (2010) [E1]
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2007 |
Newth D, Cornforth D, 'Asynchronous spatial evolutionary games: Spatial patterns, diversity and chaos', 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, Singapore, SINGAPORE (2007)
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2007 |
Kamrul Hasan SM, Sarker R, Cornforth D, 'Hybrid genetic algorithm for solving job-shop scheduling problem', Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 (2007) The Job-Shop Scheduling Problem (JSSP) is a well-known difficult combinatorial optimization problem. Many algorithms have been proposed for solving JSSP in the last few decades, i... [more] The Job-Shop Scheduling Problem (JSSP) is a well-known difficult combinatorial optimization problem. Many algorithms have been proposed for solving JSSP in the last few decades, including algorithms based on evolutionary techniques. However, there is room for improvement in solving medium to large scale problems effectively. In this paper, we present a Hybrid Genetic Algorithm (HGA) that includes a heuristic job ordering with a Genetic Algorithm. We apply HGA to a number of benchmark problems. It is found that the algorithm is able to improve the solution obtained by traditional genetic algorithm. © 2007 IEEE.
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2007 |
Ullah ASSMB, Sarker R, Cornforth D, 'A combined MA-GA approach for solving constrained optimization problems', Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 (2007) Many real world decision processes require to solve optimization problems. In this paper, an integrated Multiagent-Genetic Algorithm (MA-GA) is considered to solve constrained opt... [more] Many real world decision processes require to solve optimization problems. In this paper, an integrated Multiagent-Genetic Algorithm (MA-GA) is considered to solve constrained optimization problems. The applied approach is new in the literature for solving constrained optimization problems. Ten benchmark problems are used to test the performance of the approach and the results show impressive performance. © 2007 IEEE.
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2007 |
Hasan SMK, Sarker R, Cornforth D, 'Modified genetic algorithm for Job-Shop Scheduling: A gap-utilization technique', 2007 IEEE Congress on Evolutionary Computation, CEC 2007 (2007) The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In this... [more] The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In this paper, we propose two Genetic Algorithm (GA) based approaches for solving JSSP. Firstly, we design a simple heuristic to reduce the completion time of jobs on the bottleneck machines that we call the reducing bottleneck technique (RBT). This heuristic was implemented in conjunction with a GA. Secondly; we propose to fill any possible gaps left in the simple GA solutions by the tasks that are scheduled later. We call this process the gap-utilization technique (GUT). With GUT, we also apply a swapping technique that deals only with the bottleneck job. We study 35 test problems with known solutions, using the existing GA and our proposed two algorithms. We obtain optimal solutions for 23 problems, and the solutions are very close for the rest. © 2007 IEEE.
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2007 |
Ullah ASSMB, Sarker R, Cornforth D, Lokan C, 'An agent-based memetic algorithm (AMA) for solving constrained optimization problems', 2007 IEEE Congress on Evolutionary Computation, CEC 2007 (2007) In recent years, memetic algorithms (MAs) have been proposed to enhance the performance of evolutionary algorithms by incorporating local search techniques with evolutionary algor... [more] In recent years, memetic algorithms (MAs) have been proposed to enhance the performance of evolutionary algorithms by incorporating local search techniques with evolutionary algorithms' global search ability, and applied successfully to solve different type of optimization problems. This paper proposes a new memetic algorithm and then introduces an agent-based memetic algorithm (AMA), for the first time, to further enhance the ability of MA in solving constrained optimization problems. In a lattice-like environment, each of the agents represents a candidate solution of the problem. The agents are able to sense and act on the society, and their performances i.e. fitness of the solution improves through co-evolutionary adaptation of society with the individual learning of the agents. The proposed algorithm is tested on 13 benchmark problems and the experimental results show promising performance. © 2007 IEEE.
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2007 |
Ullah ASSMB, Sarker R, Cornforth D, 'An evolutionary agent system for mathematical programming', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) During the last decade, both evolutionary computation and multiagent systems have been used for solving decision and optimization problems. This paper proposes a new evolutionary ... [more] During the last decade, both evolutionary computation and multiagent systems have been used for solving decision and optimization problems. This paper proposes a new evolutionary agent system by incorporating evolutionary process into agent concepts for solving mathematical programming models. Each of the agents represents a candidate solution of the problem, and able to sense and act on the society. The fitness of the agent improves through co-evolutionary adaptation of society with the individual learning of the agents. The performance of the proposed algorithm is tested on five new benchmark problems along with existing 13 well-known problems, and the experimental results show convincing performance. © Springer-Verlag Berlin Heidelberg 2007.
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2006 | Cornforth D, Newth D, 'The emergence of cooperation in asynchronous iterated prisoner's dilemma', SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, Univ Sci & Technol China, Hefei, PEOPLES R CHINA (2006) | ||||||||||
2005 |
Cornforth D, Jelinek H, 'Automated classification of dementia subtypes from post-mortem cortex images', AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, Univ Technol, Sydney, AUSTRALIA (2005)
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2004 |
Cornforth D, Kirley M, Bossomaier T, 'Agent heterogeneity and coalition formation: Investigating market-based cooperative problem solving', Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004 (2004) One focus of multi-agent systems research is the notion that complex outcomes or behaviours may be arrived at through the interaction of agents. However, it is still an open quest... [more] One focus of multi-agent systems research is the notion that complex outcomes or behaviours may be arrived at through the interaction of agents. However, it is still an open question as to how agents in a complex system form coalitions or modules, and how these coalitions self-organize into hierarchies. In this paper, we begin to address this question by investigating agent collaboration in the context of a high-level pattern recognition task. We propose a novel market-based communication protocol, which governs the aggregate behaviour of individual agents and subsequent emergent properties of the system. Based on the Contract Net Protocol, individual agents bid to join coalitions (or solutions to a given problem). An important contribution of this study is the analysis of the role heterogeneous agents play in the formation of coalitions. Using a simple model, we show that by promoting diversity within the agent population it is possible to avoid deadlock or "tie" conditions, which otherwise have to be solved arbitrarily by the deadlocked agents.
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2004 |
Cornforth D, Kirley M, 'Cooperative problem solving using an agent-based market', GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2004, PT 1, PROCEEDINGS, Seattle, WA (2004)
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2004 |
Jelinek HF, Cornforth DJ, Roberts AJ, Landini G, Bourke P, Iorio A, 'Image processing of finite size rat retinal ganglion cells using multifractal and local connected fractal analysis', AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, Cent Queensland Univ, Cairns, AUSTRALIA (2004)
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2002 |
Jelinek H, Cornforth D, Waley P, Fernandez E, Robinson W, 'A comparison of machine learning approaches for the automated classification of dementia', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) © Springer-Verlag Berlin Heidelberg 2002. Like many diseases, dementia is associated with a changed physical structure of diseased tissue. This study is a preliminary attempt to s... [more] © Springer-Verlag Berlin Heidelberg 2002. Like many diseases, dementia is associated with a changed physical structure of diseased tissue. This study is a preliminary attempt to show that these changes are detectable using image processing, and could facilitate the automated classification of dementia subtypes. The identification of a link between different pathologies and the physical structure of tissue is potentially of great benefit to our understanding of this group of diseases. We have shown the existence of such a link by applying machine learning techniques to features derived using fractal analysis, as well as classical shape parameters.
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2002 |
Cornforth D, 'Evolution in the orange box - A new approach to the sphere-packing problem in CMAC-based neural networks', AL 2002: ADVANCES IN ARTIFICIAL INTELLIGENCE, CANBERRA, AUSTRALIA (2002)
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2000 |
Cornforth DJ, Middleton RH, Tusek J, 'Visualisation of electrical transients using the wavelet transform', Proceedings of ISTA'2000, Canberra, Australia (2000) [E2]
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1998 |
Cornforth D, Ledwich G, 'Measurement and communication techniques for remote condition monitoring of high voltage transformer bushings', PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth (1998) © 1998 IEEE. The insulation used in high voltage transformer bushings experiences an aging process, which reduces its effectiveness and ultimately may lead to catastrophic breakdo... [more] © 1998 IEEE. The insulation used in high voltage transformer bushings experiences an aging process, which reduces its effectiveness and ultimately may lead to catastrophic breakdown. The progress of aging can be estimated by measuring various parameters of the insulator material. The most easily obtainable parameters are electrical, and this fact has led to the introduction of commercial automated measurement systems suitable for condition monitoring of various types of high voltage bushings. This paper describes the development phase of a system using fibre optic communications to construct a network based on standard PCs serving as the instrumentation at the point of measurement. The system is designed to measure tan d, partial discharge and harmonics. It is expected that the system can measure relative phase angle to within 0.1 m radians. All nodes across the network are synchronised using a dedicated fibre carrying timing pulses. The software design uses a modular approach to maintain flexibility. A supervisory system comprises a graphical user interface communicating with network software using windows dynamic data exchange (DDE). The remote nodes communicate with this system using remote procedure calls (RPC), which is a multiplatform protocol, enabling other operating systems to be integrated if desired.
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Show 94 more conferences |
Other (1 outputs)
Year | Citation | Altmetrics | Link |
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2013 | Cornforth DJ, 'see http://seit.unsw.adfa.edu.au/staff/sites/dcornforth/Publications.html', : Various (2013) [O1] |
Thesis / Dissertation (2 outputs)
EditGrants and Funding
Summary
Number of grants | 15 |
---|---|
Total funding | $436,279 |
Click on a grant title below to expand the full details for that specific grant.
20152 grants / $17,032
Pilot Mobile App for Stroke - a mobile health device for the self-management of chronic disease$10,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
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Project Team | Professor Mario Minichiello, Doctor David Cornforth |
Scheme | Linkage Pilot Research Grant |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2015 |
GNo | G1501195 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Unobtrusive Heart Rate Measurements Using Mobile Devices$7,032
The primary aims of this research project are to investigate methods of measuring heart rate from video captured with a mobile device, and to determine whether this can be used to assess emotional state of electronic market traders. This technology, if found to be accurate and robust, would allow a decision maker’s heart rate to be easily measured during trading sessions, and would provide new insights into the impact of design elements of electronic markets on affective processes and impulsive behaviour. The research will form an integral part of the exploration of several new fields in NeuroIS (i) by investigating the practicality of an unobtrusive heart rate measurement research platform in the context of electronic markets, (ii) by extending and further developing knowledge of affective computing, and (iii) by enabling exploration of potential new application areas that unobtrusive measurement of affective processes offers.
Funding body: Faculty of Science and Information Technology
Funding body | Faculty of Science and Information Technology |
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Project Team | Dr Marc Adam, Dr David Cornforth |
Scheme | Strategic small grant |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2016 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
20141 grants / $13,000
Teaching support: INFT 2050$13,000
Funding body: Microsoft Corporation
Funding body | Microsoft Corporation |
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Project Team | David Cornforth |
Scheme | Teaching Support |
Role | Lead |
Funding Start | 2014 |
Funding Finish | 2014 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20132 grants / $32,250
Microsoft Teaching Support: for Mobile App Development INFT3009$30,000
Funding body: Microsoft Corporation
Funding body | Microsoft Corporation |
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Project Team | David Cornforth |
Scheme | Teaching Support |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2013 |
GNo | |
Type Of Funding | External |
Category | EXTE |
UON | N |
Travel Grant$2,250
Funding body: Josef Stefan Institute
Funding body | Josef Stefan Institute |
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Project Team | Dr Herbert Jelinek |
Scheme | Travel Grant |
Role | Investigator |
Funding Start | 2013 |
Funding Finish | 2013 |
GNo | |
Type Of Funding | External |
Category | EXTE |
UON | N |
20124 grants / $34,947
Computer assisted feature selection for supervised and unsupervised data mining,$10,000
Funding body: University of Newcastle - Faculty of Science & IT
Funding body | University of Newcastle - Faculty of Science & IT |
---|---|
Project Team | David Cornforth |
Scheme | New Staff Grant |
Role | Lead |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
The application of health informatics to heart rate variability data for the performance management of elite athletes$10,000
Funding body: University of Newcastle - Faculty of Science & IT
Funding body | University of Newcastle - Faculty of Science & IT |
---|---|
Project Team | David Cornforth |
Scheme | Strategic Initiative Research Fund (SIRF) |
Role | Lead |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
The application of health informatics to heart rate variability data for the performance management of elite athletes.$9,992
Funding body: University of Newcastle - Faculty of Science & IT
Funding body | University of Newcastle - Faculty of Science & IT |
---|---|
Project Team | Doctor David Cornforth, Doctor Keith Nesbitt, Doctor Piers Campbell, Campbell Piers |
Scheme | Strategic Initiative Research Fund (SIRF) |
Role | Lead |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1401019 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Computer assisted feature selection for supervised and unsupervised data mining$4,955
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Doctor David Cornforth |
Scheme | New Staff Grant |
Role | Lead |
Funding Start | 2012 |
Funding Finish | 2012 |
GNo | G1200510 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20081 grants / $18,000
Focussed Workshop on Evolutionary Multiobjective Optimisation$18,000
Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation
Funding body | CSIRO - Commonwealth Scientific and Industrial Research Organisation |
---|---|
Project Team | Dr Adam Berry |
Scheme | Computational and Simulation Sciences Transformational Capability Platform |
Role | Investigator |
Funding Start | 2008 |
Funding Finish | 2008 |
GNo | |
Type Of Funding | International - Competitive |
Category | 3IFA |
UON | N |
20071 grants / $45,000
New Analytic And Synthetic Techniques Applicable To Capability Planning And Decision Making$45,000
Funding body: DSTO
Funding body | DSTO |
---|---|
Project Team | Hussein Abbass |
Scheme | Direct Funding |
Role | Investigator |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | |
Type Of Funding | Other Public Sector - Commonwealth |
Category | 2OPC |
UON | N |
20062 grants / $38,500
Synthesis of market-based and evolutionary approaches to dynamic scheduling problems$28,500
Funding body: University of New South Wales
Funding body | University of New South Wales |
---|---|
Project Team | David Cornforth |
Scheme | Faculty Research Grant |
Role | Lead |
Funding Start | 2006 |
Funding Finish | 2006 |
GNo | |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | N |
An open-source version of the Cerebellar Model Articulation Controller for automated classification$10,000
Funding body: University of New South Wales
Funding body | University of New South Wales |
---|---|
Project Team | David Cornforth |
Scheme | Start up grant |
Role | Lead |
Funding Start | 2006 |
Funding Finish | 2006 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
20041 grants / $33,550
Quantifying arteriolar narrowing and microaneurysms associated with diabetes of non-mydriatic images of the optic fundus$33,550
Funding body: Diabetes Australia
Funding body | Diabetes Australia |
---|---|
Project Team | Herbert Jelinek |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2004 |
Funding Finish | 2004 |
GNo | |
Type Of Funding | Grant - Aust Non Government |
Category | 3AFG |
UON | N |
20021 grants / $204,000
Spatial data mining and multi agent systems$204,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Prof Terry Bossamaier |
Scheme | Linkage |
Role | Investigator |
Funding Start | 2002 |
Funding Finish | 2004 |
GNo | |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | N |
Research Supervision
Number of supervisions
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2013 | PhD |
Impact of microgrids on the electrical distribution system. Impact of microgrids on the electrical distribution system. |
Electrical Engineering, UNSW | Co-Supervisor |
2012 | PhD | The application of power electronics and advanced control to distributed generation systems and microgrids. | Electrical Engineering, CSIRO - Commonwealth Scientific and Industrial Research Organisation | Co-Supervisor |
2012 | PhD | Power electronics interface with PV systems. | Electrical Engineering, CSIRO - Commonwealth Scientific and Industrial Research Organisation | Co-Supervisor |
2012 | PhD | Planning of distribution networks for medium voltage and low voltage | Electrical Engineering, Queensland University of Technology | Co-Supervisor |
2011 | PhD | Malware detection and computer security | Computer Science, UNSW | Co-Supervisor |
2009 | PhD | Genetic algorithms | Computer Science, UNSW | Co-Supervisor |
2009 | PhD | Hybrid evolutionary methods | Computer Science, UNSW | Co-Supervisor |
2009 | PhD | Hybrid evolutionary methods | Computer Science, UNSW | Co-Supervisor |
2004 | PhD | Simulation of social networks | Computer Science, Charles Sturt University | Co-Supervisor |
2002 | PhD | Ecological Algorithms: An investigation of adaptation, diversity and spatial patterns in complex optimzation problems. | Computer Science, Charles Sturt University | Co-Supervisor |
2002 | PhD | Building blocks and modules: some mechanisms for adaptation in complex systems and evolutionary computation | Computer Science, Charles Sturt University | Co-Supervisor |
Dr David Cornforth
Position
Conjoint Senior Lecturer
Applied Informatics Research group
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment
Contact Details
david.cornforth@newcastle.edu.au | |
Phone | (02) 4985 4069 |
Links |
Personal webpage Research Networks |
Office
Room | ICT312 |
---|---|
Building | ICT Building |
Location | Callaghan University Drive Callaghan, NSW 2308 Australia |