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Dr David Cornforth

Senior Lecturer

School of Design Communication and IT

Career Summary

Biography

Dr David Cornforth is a Senior Lecturer in Information Technology at the University of Newcastle. His research interests include data mining, artificial life and computer assisted medical diagnosis. He has conducted research in a range of areas – from synchronous and asynchronous processes in multi-agent systems, to intrusion detection systems for computer networks. He has successfully secured funding for his various projects including the Faculty Strategic Initiative Research Fund for his work in health informatics, and the New Staff Grant for his work in supervised and unsupervised data mining. Dr Cornforth also brings with him the valuable expertise acquired during his time as a CSIRO research scientist in renewable energy. He currently teaches into the courses related to video games design, application programming and mobile apps development. He is a convenor of the Applied Informatics Research Group (AIR).

Research Expertise
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 "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.

Models of social networks: This project investigated the impact of media on shared opinion within social groups, using network models. My contribution was in experimental design and analysis of results (Stocker et al., 2002a & 2002b; Stocker et al., 2003). This work showed that different network topologies (random, scale-free, small-world, and regular) affect the spread of ideas through a social network.

Agent-based artificial markets: This project simulates a network of intelligent software agents trading with one another to form stable solutions. Agents are self-interested and have diverse goals, yet a network of peers with no designated leader is able to cooperate and find solutions. I observed that cooperation is easier to achieve in heterogeneous agents, because this allows tie breaking (Cornforth et al., 2004). I proposed and studied the use of an evolutionary algorithm to optimise the agents, providing better solutions in dynamic problems (Cornforth, 2007).

Asynchrony in network models: I have researched different methods of asynchrony in multi agent models, implemented them and performed experiments using network measures such as degree distribution, clustering coefficient, state entropy and Lyapunov exponents. I have identified several types of updating schemes, and modeled the effects of these schemes using one-dimensional cellular automata. Results showed that the scheme chosen provides very different dynamics. I invented the self-synchronous scheme, where agents are coupled with their neighbours, so can update their state in synchrony with their neighbours. I showed that it is possible to switch between chaotic, cyclic and modular behaviour by varying a single parameter. The significance of this is a possible mechanism by which environmental parameters influence emergent structure. (Cornforth et al., 2005; Cornforth et al., 2002; Cornforth et al., 2001). Some of my software is online at VLAB, Monash University’s Complexity Virtual Lab, hosted at http://journal-ci.csse.monash.edu.au/vlab/ (e.g. Self Synchronous under Cellular Automata).

Early detection of diabetes: Diabetes can be detected by advanced processing of retinal images. I have contributed measures that can be extracted from images and conducted experiments showing the high success rate of some pattern recognition algorithms (Cornforth & Jelinek, H.F. (2007, Cree et al., 2005a & 2005b & 2005c, Jelinek et al., 2005, Cornforth & Jelinek, 2005; Cornforth et al., 2004; Jelinek et al., 2004, Jelinek et al., 2002).

Wrapper subset evaluation: This work aimed to determine the best set of measures for the automated classification of medical images. It is known that using too many measures has a detrimental effect upon the classifier performance. Although Principal Components Analysis is well established, it assumes a Gaussian distribution, whereas many modern classifier algorithms can model much more complicated and even concave distributions.

Teaching Expertise
I have a record of excellence in teaching, which is demonstrated by the results of student surveys. I am committed to improving the quality of the student experience, which led me complete a Graduate Certificate in University Learning and Teaching, awarded by UNSW in 2007. I have adopted the practice of keeping a teaching portfolio, where I record my reflection on my teaching practice. I have developed a culture of scholarship in teaching, demonstrated by innovations that have improved the learning experience for my students, based on the application of relevant literature on teaching and learning. Through introducing different teaching styles and techniques during lectures, I am committed to generating a richer student-centred learning environment. My teaching experience includes: - Computer Tools for Engineers - Introduction to Computer Science - Programming Fundamentals - Introduction to Research in IT - Knowledge Based Systems - XML Technologies - Soft Computing - Research Methods - Data Analysis for Postgraduates I have had 10 years university teaching experience in three different universities and very diverse schools. I have taught service courses for other schools in face-to-face mode and distance learning, with a highly diverse student cohort in multidisciplinary schools. I have transformed the teaching of my courses by introducing many student-centred exercises, and adapting the course to serve the needs of off-campus students.

Administrative Expertise
I have had an active and leadership role in the Applied Informatics Research (AIR) group.

Collaborations
Charles Sturt University, NSW - Application of intelligent information systems to medical image and signal processing. CSIRO, Australia - multi agent models of biological systems Institut Jožef Stefan, Ljubljana, Slovenia - health monitoring of professional athletes


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

CodeDescriptionPercentage
080199Artificial Intelligence and Image Processing not elsewhere classified25
080109Pattern Recognition and Data Mining25
080702Health Informatics50

Professional Experience

UON Appointment

DatesTitleOrganisation / Department
1/01/2015 - Senior LecturerUniversity of Newcastle
School of Design Communication and IT
Australia
15/07/2014 - 15/07/2014Casual AcademicUniversity of Newcastle
School of Environmental and Life Sciences
Australia

Academic appointment

DatesTitleOrganisation / Department
1/03/2014 - Visiting FellowThe University of New South Wales
Australia
1/04/2008 - Senior Lecturer (conjoint)Australian Defence Force Academy
School of Engineering and Information Technology
Australia
1/11/2005 - 1/04/2008Senior LecturerAustralian Defence Force Academy
School of Engineering and Information Technology
Australia
1/06/2000 - 1/11/2005Senior Lecturer
<p>Science and Agriculture</p>
Charles Sturt University
School of Environmental and Information Sciences
1/12/1997 - 1/06/2000Professional OfficerUniversity of Newcastle
School of Elect Engineering and Computer Science
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Book (1 outputs)

YearCitationAltmetricsLink
1995Miles T, Cornforth D, The Hunter Epidemiological Profile, Hunter Area Health Service, Newcastle, Australia, 50 (1995)

Chapter (8 outputs)

YearCitationAltmetricsLink
2015Adam MTP, Cornforth DJ, 'Cluster evaluation, description, and interpretation for serious games: Player profiling in Minecraft', Serious Games Analytics, Springer International Publishing, Switzerland 135-155 (2015)
DOI10.1007/978-3-319-05834-4_6
Co-authorsMarc Adam
2012Jelinek 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]
2012Cornforth 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]
2012Jelinek 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]
2009Hasan SMK, Sarker RA, Essam D, Cornforth D, 'A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems.', Natural Intelligence for Scheduling, Planning and Packing Problems, Springer 55-88 (2009) [B2]
DOI10.1007/978-3-642-04039-9_3
2008Cornforth DJ, Green DG, 'Modularity and Complex Adaptive Systems', Intelligent Complex Adaptive Systems, IGI Global Snippet, Hershey, PA 75-104 (2008) [B2]
2008Cornforth DJ, Jelinek HF, 'Computational Methods for the Early Detection of Diabetes', Encyclopedia of healthcare information systems, IGI Global, Hershey, PA 274-280 (2008) [D2]
1993Cornforth DJ, Elliman D, 'Modelling Probability Density Functions for Classifying Using a CMAC', Techniques and applications of neural networks, Ellis Horwood, Unknown 35-46 (1993)
Show 5 more chapters

Journal article (38 outputs)

YearCitationAltmetricsLink
2015Cornforth 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)

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 wer... [more]

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.

DOI10.1504/IJSISE.2015.067072
Co-authorsKeith Nesbitt
2015Cornforth D, Jelinek H, 'Atypical Cardiac Autonomic Neuropathy Identified with Entropy Measures', Cardiology and Angiology: An International Journal, 3 1-11 (2015)
DOI10.9734/CA/2015/12524
2015Cornforth 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)
DOI10.3390/e17031425Author URL
2015Khalaf 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)

Background: Physiological interactions are abundant within, and between, body systems. These interactions may evolve into discrete states during pathophysiological processes resul... [more]

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.

DOI10.3389/fphys.2015.00101
2015Lo SL, Chiong R, Cornforth D, 'Using Support Vector Machine Ensembles for Target Audience Classification on Twitter', PLOS ONE, 10 (2015)
DOI10.1371/journal.pone.0122855Author URL
Co-authorsRaymond Chiong
2015Lo SL, Chiong R, Cornforth D, 'Using support vector machine ensembles for target audience classification on twitter.', PloS one, 10 e0122855 (2015)
DOI10.1371/journal.pone.0122855
Co-authorsRaymond Chiong
2014Abbey 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]
DOI10.1109/MPE.2014.2301514Author URL
CitationsScopus - 2
2014Cornforth 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]
CitationsScopus - 1
2014Jelinek 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.

DOI10.1016/j.asoc.2013.08.010
2014Tarvainen 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]
DOI10.3389/fendo.2014.00130
2014Cornforth 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]
DOI10.3389/fbioe.2014.00034
2013Du 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]
DOI10.1016/j.solener.2013.05.010Author URL
CitationsScopus - 7Web of Science - 4
2013Rowe 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]
DOI10.1109/TPEL.2012.2230190Author URL
CitationsScopus - 19Web of Science - 16
Co-authorsRobert Betz
2013Ursani 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]
DOI10.4018/jaec.2013010102
2013Williams 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]
DOI10.7603/s40601-013-0006-0
Co-authorsKeith Nesbitt, Ami Eidels
2012Platt G, Berry A, Cornforth DJ, 'What Role for Microgrids? 185-207 (2012)

This chapter explores the microgrid concept in the wider context of the smart grid. While microgrids were considered a technology limited to remote area power supplies, they offer... [more]

This chapter explores the microgrid concept in the wider context of the smart grid. While microgrids were considered a technology limited to remote area power supplies, they offer a transitionary path from the utility grid operations of today to the intelligent, dynamicm and flexible smart grids. By aggregating large numbers of generators, loads, and storage devices together so they appear to the utility grid as a single controllable asset, microgrids ease the burden of control for the utility grid, simplifying issues such as the integration of large numbers of renewable energy devices, or managing system operation when given a complex multitude of control devices and constraints. Microgrids also offer significant benefits to the end-user, helping to isolate them from utility grid issues, manage multiple on-site loads and generators, or improve local power quality. Microgrids are not without their challenges however, with a variety of issues challenging the early adopters of this technology, and limiting the number of deployments of this technology in developed electricity networks. © 2012 Elsevier Inc. All rights reserved.

DOI10.1016/B978-0-12-386452-9.00008-5
CitationsScopus - 3
2011Ursani Z, Essam D, Cornforth D, Stocker R, 'Localized genetic algorithm for vehicle routing problem with time windows', APPLIED SOFT COMPUTING, 11 5375-5390 (2011) [C1]
DOI10.1016/j.asoc.2011.05.021Author URL
CitationsScopus - 21Web of Science - 10
2011Cornforth DJ, 'Role of Microgrids in the Smart Grid', Journal of Electronic Science and Technology, 9 9-16 (2011) [C1]
DOI10.3969/j.issn.1674-862X.2011.01.003
2011Jelinek H, Cornforth D, Blackmore KL, 'Visualisation in Biomedicine as a Means of Data Evaluation', Journal of Visualization, 14 353-359 (2011) [C1]
CitationsScopus - 2Web of Science - 2
Co-authorsKaren Blackmore
2009Cornforth DJ, Jelinek HF, Cree MJ, Leandro JJ, Soares JV, Cesar RM, 'Evolution of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy', Studies in Computational Intelligence, 187 171-182 (2009) [C2]

Diabetes is a chronic disease that affects the body's capacity to regulate the amount of sugar in the blood. One in twenty Australians are affected by diabetes, but this figure is... [more]

Diabetes is a chronic disease that affects the body's capacity to regulate the amount of sugar in the blood. One in twenty Australians are affected by diabetes, but this figure is conservative, due to the presence of subclinical diabetes, where the disease is undiagnosed, yet is already damaging the body without manifesting substantial symptoms. This incidence rate is not confined to Australia, but is typical of developed nations, and even higher in developing nations. Excess sugar in the blood results in metabolites that cause vision loss, heart failure and stroke, and damage to peripheral blood vessels.These problems contribute significantly to the morbidity and mortality of the Australian population, so that any improvement in early diagnosis would therefore represent a significant gain. The incidence is projected to rise, and has already become a major epidemic. © 2009 Springer-Verlag Berlin Heidelberg.

DOI10.1007/978-3-540-95978-6_12
CitationsScopus - 1
2009Hasan SMK, Sarker R, Essam D, Cornforth D, 'Memetic algorithms for solving job-shop scheduling problems', Memetic Computing, 1 69-83 (2009) [C1]

The job-shop scheduling problem is well known for its complexity as an NP-hard problem. We have considered JSSPs with an objective of minimizing makespan while satisfying a number... [more]

The job-shop scheduling problem is well known for its complexity as an NP-hard problem. We have considered JSSPs with an objective of minimizing makespan while satisfying a number of hard constraints. In this paper, we developed a memetic algorithm (MA) for solving JSSPs. Three priority rules were designed, namely partial re-ordering, gap reduction and restricted swapping, and used as local search techniques in our MA. We have solved 40 benchmark problems and compared the results obtained with a number of established algorithms in the literature. The experimental results show that MA, as compared to GA, not only improves the quality of solutions but also reduces the overall computational time. © 2008 Springer-Verlag.

DOI10.1007/s12293-008-0004-5
CitationsScopus - 71
2009Newth D, Cornforth D, 'Asynchronous spatial evolutionary games', BIOSYSTEMS, 95 120-129 (2009) [C1]
DOI10.1016/j.biosystems.2008.09.003Author URL
CitationsScopus - 14Web of Science - 10
2009Ursani Z, Essam D, Cornforth D, Stocker R, 'Introducing the Localized Genetic Algorithm for Small Scale Capacitated Vehicle Routing Problems', INFOR, 47 133-149 (2009) [C1]
DOI10.3138/infor.47.2.133Author URL
CitationsScopus - 2Web of Science - 1
2009Barkat Ullah ASSM, Sarker R, Cornforth D, Lokan C, 'AMA: A new approach for solving constrained real-valued optimization problems', Soft Computing, 13 741-762 (2009) [C1]

Memetic algorithms (MA) have recently been applied successfully to solve decision and optimization problems. However, selecting a suitable local search technique remains a critica... [more]

Memetic algorithms (MA) have recently been applied successfully to solve decision and optimization problems. However, selecting a suitable local search technique remains a critical issue of MA, as this significantly affects the performance of the algorithms. This paper presents a new agent based memetic algorithm (AMA) for solving constrained real-valued optimization problems, where the agents have the ability to independently select a suitable local search technique (LST) from our designed set. Each agent represents a candidate solution of the optimization problem and tries to improve its solution through co-operation with other agents. Evolutionary operators consist of only crossover and one of the self-adaptively selected LSTs. The performance of the proposed algorithm is tested on five new benchmark problems along with 13 existing well-known problems, and the experimental results show convincing performance. © Springer-Verlag 2008.

DOI10.1007/s00500-008-0349-1
CitationsScopus - 15
2008Newth D, Cornforth D, 'The emergence of cooperation in the random asynchronous prisoner's dilemma', Artificial Life and Robotics, 12 329-334 (2008) [C1]

The iterated prisoners dilemma (IPD) is a simple model for the study of the emergence of cooperative behavior in populations of selfish individuals. In this work, we challenge the... [more]

The iterated prisoners dilemma (IPD) is a simple model for the study of the emergence of cooperative behavior in populations of selfish individuals. In this work, we challenge the assumption that players move in synchrony, and develop a general Markovian model that allows the study of a wide spectrum of scenarios. Simulations show that the relative timing of player moves, and the reward for mutual cooperation, influences the strategy that eventually dominates the final population. For a synchronous environment, reciprocal behavior appears to be the key to the evolution of cooperation, while in an asynchronous environment, guarded generosity may be a route to the evolution of cooperation. © 2008 International Symposium on Artificial Life and Robotics (ISAROB).

DOI10.1007/s10015-007-0487-z
CitationsScopus - 1
2008Cornforth D, Jelinek H, 'Automated classification reveals morphological factors associated with dementia', APPLIED SOFT COMPUTING, 8 182-190 (2008) [C1]
DOI10.1016/j.asoc.2006.10.015Author URL
CitationsScopus - 4
2007Spennemann 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)
DOI10.1016/j.compedu.2005.11.006Author URL
CitationsScopus - 4Web of Science - 2
2007Spennemann 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. © Emerald Group Publishing Limited.

DOI10.1108/10650740710742691
CitationsScopus - 1
2007Cornforth 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.

DOI10.1109/CEC.2007.4424682
2007Spennemann DHR, Atkinson J, Cornforth D, 'Voting with their seats: Computer laboratory design and the casual user', BEHAVIOUR & INFORMATION TECHNOLOGY, 26 409-420 (2007)
DOI10.1080/01449290500489277Author URL
CitationsScopus - 3
2006CORNFORTH DAVID, 'A CEREBELLAR MODEL CLASSIFIER FOR DATA MINING WITH LINEAR TIME COMPLEXITY', International Journal of Computational Intelligence and Applications, 06 299-313 (2006)
DOI10.1142/S1469026806002015
2006Cornforth 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.

DOI10.1108/10650740610639705
CitationsScopus - 3
2005Cornforth D, Green DG, Newth D, 'Ordered asynchronous processes in multi-agent systems', PHYSICA D-NONLINEAR PHENOMENA, 204 70-82 (2005)
DOI10.1016/j.physd.2005.04.005Author URL
CitationsScopus - 51Web of Science - 40
2005Atkinson 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.

DOI10.1108/10650740510617511
CitationsScopus - 7
2005Cornforth DJ, Jelinek HJ, Leandro JJG, Soares JVB, Cesar Jr 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.

CitationsScopus - 7
2005Cornforth 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.

2003Stocker R, Cornforth D, Green DG, 'A simulation of the impact of media on social cohesion', ADVANCES IN COMPLEX SYSTEMS, 6 349-359 (2003)
DOI10.1142/S0219525903000931Author URL
CitationsWeb of Science - 2
2002Stocker R, Cornforth D, Bossomaier TRJ, 'Network structures and agreement in social network simulations', JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 5 (2002)
Author URL
Show 35 more journal articles

Conference (83 outputs)

YearCitationAltmetricsLink
2015Lo 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)

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 commer... [more]

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.

Co-authorsRaymond Chiong
2015Cornforth DJ, Lo SL, 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)
Co-authorsRaymond Chiong
2015Lo 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)
DOI10.1007/978-3-319-14063-6_35
Co-authorsRaymond Chiong
2014Jelinek 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]
2014Tarvainen 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]
DOI10.1109/EMBC.2014.6945157
CitationsScopus - 1
2014Cornforth 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]
DOI10.1109/EMBC.2014.6945159
2014Simon, Cornforth DJ, 'Teaching Mobile Apps for Windows Devices Using TouchDevelop', Proceedings of the Sixteenth Australasian Computing Education Conference (ACE2014), Auckland, New Zealand (2014) [E1]
Co-authorsSimon
2014Cornforth 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]
2014Jelinek 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.

DOI10.1109/ESGCO.2014.6847490
2014Cornforth 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.

DOI10.1109/ESGCO.2014.6847489
2013Williams 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]
DOI10.5176/2251-1679
Co-authorsAmi Eidels, Keith Nesbitt
2013Tarvainen 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]
DOI10.1109/EMBC.2013.6610809
CitationsScopus - 1
2013Cornforth 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]
DOI10.1109/EMBC.2013.6610810
CitationsScopus - 1
2013Blackmore 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]
DOI10.1109/ICIEA.2013.6566348Author URL
Co-authorsKaren Blackmore, Keith Nesbitt
2013Cornforth 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]
DOI10.1109/ICIEA.2013.6566500Author URL
CitationsScopus - 1
2013Cornforth 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]
Author URL
Co-authorsKeith Nesbitt
2012Roy 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]
CitationsScopus - 1
2012Jelinek HF, Tarvainen MP, Cornforth DJ, 'Renyi entropy in identification of cardiac autonomic neuropathy in diabetes', Computing in Cardiology, AGH Univ Sci & Technol, Krakow, POLAND (2012) [E1]
CitationsScopus - 6Web of Science - 3
2012Roy NK, Pota HR, Hossain MJ, Cornforth D, 'An effective VAR planning to improve dynamic voltage profile of distribution networks with distributed wind generation', IEEE Power and Energy Society General Meeting, San Diego, CA (2012) [E1]
DOI10.1109/PESGM.2012.6344791
CitationsScopus - 2
2011Rowe 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]
DOI10.1109/PEDS.2011.6147343
CitationsScopus - 1
Co-authorsRobert Betz
2011Rowe 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]
DOI10.1109/PEDS.2011.6147340
Co-authorsRobert Betz
2011Cornforth DJ, Sayeef S, Moore T, 'Beyond overcurrent protection: Distributed generation in the future grid', Innovative Smart Grid Technologies Asia, Perth, Australia (2011) [E1]
2011Platt G, Cornforth D, Moore T, Berry A, 'The practical challenges of minigrids', IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings, Phoenix, AR (2011) [E1]
DOI10.1109/ECCE.2011.6063874
2011Cornforth DJ, Berry A, Moore T, 'Building a microgrid laboratory', 8th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2011-ECCE Asia, Jeju, South Korea (2011) [E1]
DOI10.1109/ICPE.2011.5944501
CitationsScopus - 4
2011Cornforth D, Moore T, Sayeef S, 'Challenges and opportunities for inverters in microgrids', IECON Proceedings (Industrial Electronics Conference), Melbourne, AUSTRALIA (2011) [E1]
DOI10.1109/IECON.2011.6119807
CitationsScopus - 3
2011Du Y, Lu DD-C, Cornforth D, James G, 'A study on the harmonic issues at CSIRO Microgrid', Proceedings of the International Conference on Power Electronics and Drive Systems, Singapore (2011) [E1]
DOI10.1109/PEDS.2011.6147247
2010Rowe 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]
Co-authorsRobert Betz
2010Ziari I, Ledwich G, Wishart M, Ghosh A, Cornforth D, 'Optimal allocation and sizing of capacitors to minimize the transmission line loss and to improve the voltage profile', AIP Conference Proceedings (2010) [E2]

To allocate and size capacitors in a distribution system, an optimization algorithm, called Discrete Particle Swarm Optimization (DPSO), is employed in this paper. The objective i... [more]

To allocate and size capacitors in a distribution system, an optimization algorithm, called Discrete Particle Swarm Optimization (DPSO), is employed in this paper. The objective is to minimize the transmission line loss cost plus capacitors cost. During the optimization procedure, the bus voltage, the feeder current and the reactive power flowing back to the source side should be maintained within standard levels. To validate the proposed method, the semi-urban distribution system that is connected to bus 2 of the Roy Billinton Test System (RBTS) is used. This 37-bus distribution system has 22 loads being located in the secondary side of a distribution substation (33/11 kV). Reducing the transmission line loss in a standard system, in which the transmission line loss consists of only about 6.6 percent of total power, the capabilities of the proposed technique are seen to be validated. © 2010 American Institute of Physics.

DOI10.1063/1.3459787
2010Berry A, Platt G, Cornforth D, 'Minigrids: Analysing the state-of-play', 2010 International Power Electronics Conference - ECCE Asia -, IPEC 2010, Sapporo, Japan (2010) [E1]
DOI10.1109/IPEC.2010.5543229
CitationsScopus - 3
2010Ziari I, Ledwich G, Ghosh A, Cornforth D, Wishart M, 'Optimal allocation and sizing of DGs in distribution networks', IEEE PES General Meeting, PES 2010, Minneapolis, MN (2010) [E1]
DOI10.1109/PES.2010.5588114
2010Ziari I, Ledwich G, Ghosh A, Cornforth D, Wishart M, 'Optimal allocation and sizing of capacitors to minimize the transmission line loss and to improve the voltage profile', Computers and Mathematics with Applications, Middle East Tech Univ, Gold Coast, AUSTRALIA (2010) [E1]
DOI10.1016/j.camwa.2010.03.042
CitationsScopus - 11Web of Science - 12
2009Cornforth DJ, Lizier JT, Prokopenko M, 'The information dynamics of cascading failures in energy networks', European Conference on Complex Systems, Warwick, UK (2009) [E1]
2009Berry A, Cornforth D, 'Designing Multiple Inverter Systems with Evolutionary Multiobjective Optimisation', 2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6, San Jose, CA (2009) [E1]
Author URL
2009Marhusin MF, Lokan C, Larkin H, Cornforth D, 'A data mining approach for detection of self-propagating worms', NSS 2009 - Network and System Security, Gold Coast, QLD, Australia (2009) [E1]
DOI10.1109/NSS.2009.88
2009Berry A, Cornforth D, 'Designing multiple inverter systems with evolutionary multiobjective optimisation', 2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009, San Jose, CA, United State (2009) [E1]
DOI10.1109/ECCE.2009.5316486
2009Berry AM, Cornforth DJ, Platt GM, 'The distributed generator placement and sizing test suite and analysis tool', 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009, Seattle, WA (2009) [E1]
DOI10.1109/PSCE.2009.4839983
2009Cornforth D, 'Long tails from the distribution of 23 years of electrical disturbance data', 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009, Seattle, WA (2009) [E1]
DOI10.1109/PSCE.2009.4840150
2009Berry AM, Cornforth DJ, Platt G, 'An introduction to multiobjective optimisation methods for decentralised power planning', 2009 IEEE Power and Energy Society General Meeting, PES '09, Calgary, CANADA (2009) [E1]
DOI10.1109/PES.2009.5275716
2009Cornforth D, 'Applications of data mining to time series of electrical disturbance data', 2009 IEEE Power and Energy Society General Meeting, PES '09, Calgary, CANADA (2009) [E1]
DOI10.1109/PES.2009.5275725
2009Kong S, Cornforth D, Berry A, 'A new approach to the design of multiple inverter systems using evolutionary optimization', 2009 IEEE Power and Energy Society General Meeting, PES '09, Calgary, CANADA (2009) [E1]
DOI10.1109/PES.2009.5276021
2008Ullah ASSMB, Elfeky EZ, Cornforth D, Essam DL, Sarker R, 'Improved evolutionary algorithms for solving constrained optimization problems with tiny feasible space', Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, singapore (2008) [E1]
DOI10.1109/ICSMC.2008.4811486
CitationsScopus - 2
2008Marhusin MF, Cornforth D, Larkin H, 'Malicious code detection architecture inspired by human immune system', Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications, Phuket, Thailand (2008) [E1]
DOI10.1109/SNPD.2008.160
CitationsScopus - 4
2008Marhusin MF, Larkin H, Lokan C, Cornforth D, 'Evaluation of API calls hooking performance', Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008, Suzhou, PEOPLES R CHINA (2008) [E1]
DOI10.1109/CIS.2008.199
CitationsScopus - 1
2008Hasan SMK, Sarker R, Cornforth D, 'GA with priority rules for solving Job-Shop Scheduling Problems', 2008 IEEE Congress on Evolutionary Computation, CEC 2008, Hong Kong, PEOPLES R CHINA (2008) [E1]
DOI10.1109/CEC.2008.4631050
CitationsScopus - 8
2008Milford GN, Cornforth DJ, 'Equivalent circuit modelling of aperture-coupled microstrip patch antennas', 2008 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, APSURSI, San Diego, CA (2008) [E1]
DOI10.1109/APS.2008.4620012
2008Marhusin MF, Cornforth D, Larkin H, 'An overview of recent advances in intrusion detection', Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008, Sydney, AUSTRALIA (2008) [E1]
DOI10.1109/CIT.2008.4594714
CitationsScopus - 8
2008Thompson L, Jelinek H, Cornforth D, 'Establishing normative data for peripheral arterial disease using pulse wave analysis', ISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, AUSTRALIA (2008) [E1]
DOI10.1109/ISSNIP.2008.4762013
CitationsScopus - 1Web of Science - 1
2008Barkat Ullah ASSM, Sarker R, Cornforth D, 'Search space reduction technique for constrained optimization with tiny feasible space', GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008, Atlanta, GA, United States (2008) [E1]
CitationsScopus - 4
2007Cornforth DJ, 'Intelligent Evacuation Models for Fire and Chemical Hazard', Recent Advances in Security Technology, Melbourne, Australia (2007)
2007Newth 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)
DOI10.1109/CEC.2007.4424780Author URL
CitationsScopus - 5
2007Kamrul 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.

DOI10.1109/ICIS.2007.107
CitationsScopus - 3
2007Ullah 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.

DOI10.1109/ICIS.2007.9
2007Hasan 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.

DOI10.1109/CEC.2007.4424966
CitationsScopus - 5
2007Ullah 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.

DOI10.1109/CEC.2007.4424579
CitationsScopus - 11
2007Ullah 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.

2006Cornforth 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)
Author URL
2005Cree MJ, Gamble E, Cornforth DJ, 'Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images', WDIC 2005 - APRS Workshop on Digital Image Computing, University of Queensland, Brisbane, Australia, (2005)
2005Cornforth D, Jelinek H, 'Automated classification of dementia subtypes from post-mortem cortex images', AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, Univ Technol, Sydney, AUSTRALIA (2005)
Author URL
CitationsWeb of Science - 1
2005Newth D, Cornforth DJ, 'Local Structure and Stability of Model and Real World Ecosystems', Advances in Natural Computation: Volume 3 Recent Advances In Artificial Life, Sydney, Australia (2005)
2005Cornforth DJ, Green DG, Awburn J, 'The formation of hierarchical structures in a pseudo-spatial co-evolutionary artificial life environment', Recent advances in artificial life, Sydney, Australia (2005)
2005Cree MJ, Cornforth DJ, Jelinek HF, 'Vessel Segmentation and Tracking Using a Two-Dimensional Model', Image and Vision Computing New Zealand (IVCNZ) International Conference, Otago, New Zealand (2005)
2005Jelinek HJ, Depardieu C, Lucas C, Cornforth DJ, Huang W, Cree MJ, 'Towards Vessel Characterisation in the Vicinity of the Optic Disc in Digital Retinal Images', Image and Vision Computing New Zealand (IVCNZ) International Conference, Otago, New Zealand (2005)
2005Cree MJ, Leandro J, Soares JVB, Cesar RM, Tang G, Jelinek HF, Cornforth DJ, 'Comparison of various methods to delineate blood vessels in retinal images', Proc. of the 16th National Congress of the Australian Institute of Physics, Canberra, Australia (2005)
2005Spennemann DHR, Atkinson J, Cornforth DJ, 'One reality of the digital divide: an exploration of individual computer lab usage at a regional university in Australia', proceedings of the Student Experience Conference, Wagga Wagga, NSW, Australia (2005)
2004Cornforth 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.

CitationsScopus - 4
2004Lawrence J, Newth D, Cornforth DJ, 'From local interactions to global collaboration', International Conference on Computational Intelligence for Modelling, Control and Automation, Gold Coast, Australia (2004)
2004Jelinek HF, Cornforth DJ, Waley P, Fernandez E, Robinson W, 'Automated Processing of Post-Mortem Cortex Images Reveals Physiological Changes Associated with Dementia Sub-types', Proceedings of CIMCA 2004, Gold Coast, Australia (2004)
2004Cornforth D, Kirley M, 'Cooperative problem solving using an agent-based market', GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2004, PT 1, PROCEEDINGS, Seattle, WA (2004)
Author URL
CitationsScopus - 1Web of Science - 2
2004Jelinek 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)
Author URL
CitationsWeb of Science - 4
2004Cornforth DJ, Jelinek HF, Teich MC, Lowen SB, 'Wrapper subset evaluation facilitates the automated detection of diabetes from heart rate variability measures', International Conference on Computational Intelligence for Modelling, Control and Automation, Gold Coast, Australia (2004)
2002Jelinek HF, Karperien A, Cornforth DJ, Cesar R, Leandro J, 'MicroMod - an L-systems approach to neuron modelling', Proceedings of the sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Canberra, Australia (2002)
2002Stocker R, Cornforth DJ, Green DG, 'The impact of television on cohesion in social networks - a simulation study', Proceedings of ICSC 2002, Chuo University Tokyo, Japan (2002)
2002Cornforth DJ, Green DG, Newth D, Kirley M, 'Do Artificial Ants March in Step? Ordered Asynchronous Processes and Modularity in Biological Systems', Proceedings of ALIFE 2002, Sydney, Australia (2002)
2002Cornforth DJ, Jelinek HF, Peichl L, 'Fractop: A Tool for Automated Biological Image Classification', Proceedings of the sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Canberra, Australia (2002)
2002Cornforth 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)
Author URL
CitationsWeb of Science - 1
2002Jelinek HF, Cornforth D, Waley P, Fernández E, Robinson W, 'A Comparison of Machine Learning Approaches for the Automated Classification of Dementia.', Australian Joint Conference on Artificial Intelligence (2002)
DOI10.1007/3-540-36187-1_70
2001Cornforth DJ, Green DG, Newth D, Kirley M, 'Ordered asynchronous processes in natural and artificial systems', Proceedings of AJJWIE 2001, Dunedin, New Zealand (2001)
2001Cornforth DJ, 'Building Practical Classifiers Using Cerebellar Model Associative Memory Neural Networks', Proceedings of ANNES 2001, Dunedin, New Zealand (2001)
2001Cornforth DJ, Newth DN, 'The Kernel Addition Training Algorithm: Faster Training for CMAC Based Neural Networks', Proceedings of ANNES 2001, Dunedin, New Zealand (2001)
2001Green DG, Newth D, Cornforth DJ, Kirley M, 'On Evolutionary Processes in Natural and Artificial Systems', Proceedings of AJJWIES 2001, Dunedin, New Zealand (2001)
2000Cornforth DJ, Middleton R, Tusek J, 'Visualisation of Electrical Transients using the Wavelet Transform', Proceedings of ICAISTA 2000, Brisbane, Australia (2000)
2000Cornforth DJ, Middleton RH, Tusek J, 'Visualisation of electrical transients using the wavelet transform', Proceedings of ISTA'2000, Canberra, Australia (2000) [E2]
Co-authorsRichard Middleton
1998Cornforth DJ, Ledwich G, 'Measurement and Communication Techniques for Remote Condition Monitoring of High Voltage Transformer Bushings', Proceedings of PEDES 1998, Perth, WA, Australia (1998)
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Thesis / Dissertation (2 outputs)

YearCitationAltmetricsLink
1994Cornforth DJ, Classifiers for Machine Intelligence, University of Nottingham, UK (1994)
1982Cornforth DJ, Optimum Control by Microprocessor, Nottingham Trent University (1982)
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Grants and Funding

Summary

Number of grants13
Total funding$419,247

Click on a grant title below to expand the full details for that specific grant.


20141 grants / $13,000

Teaching support: INFT 2050$13,000

Equipment to support teaching of Microsoft TouchDevelop for Mobile App Development
Funding body: Microsoft Corporation

Funding bodyMicrosoft Corporation
Project Team
SchemeTeaching Support
RoleLead
Funding Start2014
Funding Finish2014
GNo
Type Of FundingInternal
CategoryINTE
UONY

20132 grants / $32,250

Microsoft Teaching Support: for Mobile App Development INFT3009$30,000

Microsoft Teaching Support: Donation of 150 smart phones to support teaching, $30,000, 2013.
Funding body: Microsoft Corporation

Funding bodyMicrosoft Corporation
Project Team
SchemeTeaching Support
RoleLead
Funding Start2013
Funding Finish2013
GNo
Type Of FundingExternal
CategoryEXTE
UONY

Travel Grant$2,250

Funding body: Josef Stefan Institute

Funding bodyJosef Stefan Institute
Project Team
SchemeTravel Grant
RoleInvestigator
Funding Start2013
Funding Finish2013
GNo
Type Of FundingExternal
CategoryEXTE
UONY

20124 grants / $34,947

Computer assisted feature selection for supervised and unsupervised data mining,$10,000

Computer assisted feature selection for supervised and unsupervised data mining,
Funding body: University of Newcastle - Faculty of Science & IT

Funding bodyUniversity of Newcastle - Faculty of Science & IT
Project Team
SchemeNew Staff Grant
RoleLead
Funding Start2012
Funding Finish2012
GNo
Type Of FundingInternal
CategoryINTE
UONY

The application of health informatics to heart rate variability data for the performance management of elite athletes$10,000

The application of health informatics to heart rate variability data for the performance management of elite athletes, $10,000, 2012.
Funding body: University of Newcastle - Faculty of Science & IT

Funding bodyUniversity of Newcastle - Faculty of Science & IT
Project Team
SchemeStrategic Initiative Research Fund (SIRF)
RoleLead
Funding Start2012
Funding Finish2012
GNo
Type Of FundingInternal
CategoryINTE
UONY

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 bodyUniversity of Newcastle - Faculty of Science & IT
Project TeamDoctor David Cornforth, Doctor Keith Nesbitt, Doctor Piers Campbell
SchemeStrategic Initiative Research Fund (SIRF)
RoleLead
Funding Start2012
Funding Finish2012
GNoG1401019
Type Of FundingInternal
CategoryINTE
UONY

Computer assisted feature selection for supervised and unsupervised data mining$4,955

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamDoctor David Cornforth
SchemeNew Staff Grant
RoleLead
Funding Start2012
Funding Finish2012
GNoG1200510
Type Of FundingInternal
CategoryINTE
UONY

20081 grants / $18,000

Focussed Workshop on Evolutionary Multiobjective Optimisation$18,000

Organize workshop on Evolutionary Multiobjective Optimisation, including travel for world expert Prof Kalyanmoy Deb.
Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation

Funding bodyCSIRO - Commonwealth Scientific and Industrial Research Organisation
Project Team
SchemeComputational and Simulation Sciences Transformational Capability Platform
RoleInvestigator
Funding Start2008
Funding Finish2008
GNo
Type Of FundingInternational - Competitive
Category3IFA
UONY

20071 grants / $45,000

New Analytic And Synthetic Techniques Applicable To Capability Planning And Decision Making$45,000

Funding body: DSTO

Funding bodyDSTO
Project Team
SchemeDirect Funding
RoleInvestigator
Funding Start2007
Funding Finish2007
GNo
Type Of FundingOther Public Sector - Commonwealth
Category2OPC
UONY

20062 grants / $38,500

Synthesis of market-based and evolutionary approaches to dynamic scheduling problems$28,500

Synthesis of market-based and evolutionary approaches to dynamic scheduling problems
Funding body: University of New South Wales

Funding bodyUniversity of New South Wales
Project Team
SchemeFaculty Research Grant
RoleLead
Funding Start2006
Funding Finish2006
GNo
Type Of FundingAust Competitive - Commonwealth
Category1CS
UONY

An open-source version of the Cerebellar Model Articulation Controller for automated classification$10,000

Start up grant Description: An open-source version of the Cerebellar Model Articulation Controller for automated classification
Funding body: University of New South Wales

Funding bodyUniversity of New South Wales
Project Team
SchemeStart up grant
RoleLead
Funding Start2006
Funding Finish2006
GNo
Type Of FundingInternal
CategoryINTE
UONY

20041 grants / $33,550

Quantifying arteriolar narrowing and microaneurysms associated with diabetes of non-mydriatic images of the optic fundus$33,550

Quantifying arteriolar narrowing and microaneurysms associated with diabetes of non-mydriatic images of the optic fundus
Funding body: Diabetes Australia

Funding bodyDiabetes Australia
Project Team
SchemeResearch Grant
RoleInvestigator
Funding Start2004
Funding Finish2004
GNo
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

20021 grants / $204,000

Spatial data mining and multi agent systems$204,000

Linkage Description: Devise agent base models to analyse patterns of housing development
Funding body: ARC (Australian Research Council)

Funding bodyARC (Australian Research Council)
Project Team
SchemeLinkage
RoleInvestigator
Funding Start2002
Funding Finish2004
GNo
Type Of FundingAust Competitive - Commonwealth
Category1CS
UONY
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Research Supervision

Current Supervision

CommencedResearch Title / Program / Supervisor Type
2014Identifying High-Value Social Entities from Twitter with Machine Learning and Multilingual Analysis.
Information Technology, Faculty of Science and Information Technology
Co-Supervisor
2014Identifying High-Value Social Entities from Twitter with Machine Learning and Multilingual Analysis.
Information Technology, Faculty of Science and Information Technology
Principal Supervisor
2013Analysis of Influential Factors in Academic Publication System using Agent-Based Modelling and Simulation
Information Technology, Faculty of Science and Information Technology
Co-Supervisor
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Dr David Cornforth

Position

Senior Lecturer
Applied Informatics Research group
School of Design Communication and IT
Faculty of Science and Information Technology

Contact Details

Emaildavid.cornforth@newcastle.edu.au
Phone(02) 4985 4069

Office

RoomICT312
BuildingICT
LocationCallaghan
University Drive
Callaghan, NSW 2308
Australia
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