Professor Madhu Chetty
Emeritus Professor
Campus
Biography
Dr Madhu Chetty is Professor in Information Technology within the Institute of Innovation, Science and Sustainability (IISS), and currently, also serving as the Director of AI and ML Stream within Health Innovation and Transformation Centre (HITC). This research stream brings together leading researchers and practitioners from the field of artificial intelligence, machine learning and data analytics.
Prof Chetty’s research applies the latest advances in AI and ML to the real-world problems, especially in bioinformatics, systems and synthetic biology, mental/digital health and well-being, and other related fields. Artificial intelligence approaches include large language models and natural language processing, artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms, block chain and other emerging techniques. With a focus on diseases (e.g. cardiovascular, cancer) and mental health problems (e.g. dementia, depression), the topics of research include (but are not limited to) novel methods for large scale system modelling, evolutionary computation, prediction and classification, big data analytics, and pattern recognition.
- Publications
BioBERT based text mining for incorporating prior knowledge in the inference of genetic network models
- Journals
- DOI reference: 10.1016/j.compbiomed.2024.109623
Editorial: The application of multi-omics analysis in translational medicine
- Journals
- DOI reference: 10.3389/fmed.2025.1744814
EvoFuzzy: Evolutionary Fuzzy Approach for Ensembling Reconstructed Genetic Networks
- Journals
- DOI reference: 10.3390/biomedinformatics5040059
Large language model based framework for automated extraction of genetic interactions from unstructured data
- Journals
- DOI reference: 10.1371/journal.pone.0303231
GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks
- Journals
- DOI reference: 10.1016/j.knosys.2024.112374
Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges
- Journals
- DOI reference: 10.1007/s10462-024-10961-6
Curating Electronic Health Record Data to Assess Causal Inference Effect of Metformin on Hypertension Population Progression to Chronic Kidney Disease
- Conference Proceedings
- DOI reference: 10.1145/3707127.3707137
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting
- Journals
- DOI reference: 10.1109/TCSS.2022.3229671
MICFuzzy: A maximal information content based fuzzy approach for reconstructing genetic networks
- Journals
- DOI reference: 10.1371/journal.pone.0288174
User authentication and access control to blockchain-based forensic log data
- Journals
- DOI reference: 10.1186/s13635-023-00142-3
A Robust Ensemble Regression Model for Reconstructing Genetic Networks
- Conference Proceedings
- DOI reference: 10.1109/IJCNN54540.2023.10191723
Meaning-Sensitive Text Data Augmentation with Intelligent Masking
- Journals
- DOI reference: 10.1145/3623403
Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction
- Journals
- DOI reference: 10.3390/informatics10040089
Blockchain Based Smart Auction Mechanism for Distributed Peer-to-Peer Energy Trading
Incorporating Price Information in Blockchain-based Energy Trading
Combining kinetic orders for efficient S-System modelling of gene regulatory network
- Journals
- DOI reference: 10.1016/j.biosystems.2022.104736
Ensemble Regression Modelling for Genetic Network Inference
- Conference Proceedings
- DOI reference: 10.1109/CIBCB55180.2022.9863017
Integrating steady-state and dynamic gene expression data for improving genetic network modelling
- Conference Proceedings
- DOI reference: 10.1109/CIBCB55180.2022.9863045
Adoption of Blockchain Technology: Exploring the Factors Affecting Organizational Decision
- Journals
- DOI reference: 10.1155/2022/7320526
Computational intelligence and machine learning in bioinformatics and computational biology
- Journals
- DOI reference: 10.1016/j.biosystems.2022.104792
Filter feature selection based Boolean Modelling for Genetic Network Inference
- Journals
- DOI reference: 10.1016/j.biosystems.2022.104757
Resilience of Stablecoin Reserve for Distributed Energy Trading
- Conference Proceedings
- DOI reference: 10.1109/APPEEC53445.2022.10072088
2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) : 13-15 Oct. 2021
- Book
- DOI reference: 10.1109/CIBCB49929.2021
Factors affecting the organizational adoption of blockchain technology: Extending the technology-organization-environment (TOE) framework in the Australian context
- Journals
- DOI reference: 10.3390/su13169404
From general language understanding to noisy text comprehension
- Journals
- DOI reference: 10.3390/app11177814
Cost Effective Annotation Framework Using Zero-Shot Text Classification
- Conference Proceedings
- DOI reference: 10.1109/IJCNN52387.2021.9534335
Dynamically regulated initialization for S-system modelling of genetic networks
- Conference Proceedings
- DOI reference: 10.1109/CIBCB49929.2021.9562958
An efficient boolean modelling approach for genetic network inference
- Conference Proceedings
- DOI reference: 10.1109/CIBCB49929.2021.9562881
An improved memetic approach for protein structure prediction incorporating maximal hydrophobic core estimation concept
- Journals
- DOI reference: 10.1016/j.knosys.2018.06.022
Adoption of Blockchain Technology among Australian Organizations: A Mixed-Methods Approach
An Exploratory Study of the Adoption of Blockchain Technology Among Australian Organizations: A Theoretical Model
- Conference Proceedings
- DOI reference: 10.1007/978-3-030-63396-7_14
Pre-trained Language Models with Limited Data for Intent Classification
- Conference Proceedings
- DOI reference: 10.1109/IJCNN48605.2020.9207121
Multimodal Memetic Framework for low-resolution protein structure prediction
- Journals
- DOI reference: 10.1016/j.swevo.2019.100608
Towards Machine Learning approach for Digital-Health intervention program
Reverse engineering genetic networks using nonlinear saturation kinetics
- Journals
- DOI reference: 10.1016/j.biosystems.2019.103977
Challenges and opportunities for Blockchain Technology adoption: A systematic review
Assessing transformer oil quality using deep convolutional networks
- Conference Proceedings
- DOI reference: 10.1109/AUPEC48547.2019.211896
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level
- Conference Proceedings
- DOI reference: 10.1007/978-3-030-04239-4_54
Information technology and organizational learning interplay: A survey
- Conference Proceedings
- DOI reference: 10.5130/acis2018.bx
Modeling neurocognitive reaction time with Gamma distribution
- Conference Proceedings
- DOI reference: 10.1145/3167918.3167941
Large scale modeling of genetic networks using gene knockout data
- Conference Proceedings
- DOI reference: 10.1145/3167918.3167950
PCA based population generation for genetic network optimization
- Journals
- DOI reference: 10.1007/s11571-018-9486-0
Special issue on multi-objective reinforcement learning
- Journals
- DOI reference: 10.1016/j.neucom.2017.06.020
Characteristics of predictor sets found using differential prioritization
- Journals
- DOI reference: 10.1186/1748-7188-2-7
Generalized schemata theorem incorporating twin removal for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1007/978-3-540-75286-8_9
Investigating the class-specific relevance of predictor sets obtained from DDP-based feature selection technique
- Conference Proceedings
- DOI reference: 10.1007/11818564_8
A comparative study of two novel predictor set scoring methods
- Conference Proceedings
- DOI reference: 10.1007/11508069_56
A framework for path analysis in gene regulatory networks
- Conference Proceedings
- DOI reference: 10.1007/978-3-540-75286-8_26
An architecture combining Bayesian segmentation and neural network ensembles for protein secondary structure prediction
- Conference Proceedings
- DOI reference: 10.1109/cibcb.2005.1594960
An interactive Java-based educational module in electromagnetics
- Journals
- DOI reference: 10.7227/IJEEE.40.1.9
Reconstruction of Large-scale gene regulatory network using s-system model
- Book Chapters
- DOI reference: 10.1002/9781119079453.ch8
Exploiting temporal genetic correlations for enhancing regulatory network optimization
- Conference Proceedings
- DOI reference: 10.1007/978-3-319-46687-3_53
Modelling gene regulatory networks using computational intelligence techniques
Genetic algorithm in ab initio protein structure prediction using low resolution model: a review
- Book Chapters
- DOI reference: 10.1007/978-3-642-02193-0_14
Hidden Markov models Incorporating fuzzy measures and integrals for protein sequence identification and alignment
- Journals
- DOI reference: 10.1016/S1672-0229(08)60025-X
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction
Extended HP model for protein structure prediction
- Journals
- DOI reference: 10.1089/cmb.2008.0082
DFS-generated pathways in GA crossover for protein structure prediction
- Journals
- DOI reference: 10.1016/j.neucom.2010.02.021
Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model
- Journals
- DOI reference: 10.1109/TCBB.2009.34
A Markov-Blanket-Based Model for Gene Regulatory Network Inference
- Journals
- DOI reference: 10.1109/TCBB.2009.70
GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion
- Journals
- DOI reference: 10.1093/bioinformatics/btr457
Issues impacting genetic network reverse engineering algorithm validation using small networks
- Journals
- DOI reference: 10.1016/j.bbapap.2012.05.017
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network
- Journals
- DOI reference: 10.1186/1471-2105-13-131
Rhythmic and sustained oscillations in metabolism and gene expression of Cyanothece sp ATCC 51142 under constant light
- Journals
- DOI reference: 10.3389/fmicb.2013.00374
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique
- Journals
- DOI reference: 10.1186/1752-0509-6-62
MCMC based Bayesian inference for modelling gene networks
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-04031-3_26
Multiclass microarray gene expression analysis based on mutual dependency models
Novel memetic algorithm for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-10439-8_42
Binary-organoid particle swarm optimisation for inferring genetic networks
- Conference Proceedings
- DOI reference: 10.1109/CEC.2010.5586339
Clustered memetic algorithm for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1109/CEC.2010.5586187
Multiclass microarray gene expression classification based on fusion of correlation features
- Conference Proceedings
- DOI reference: 10.1109/icif.2010.5711915
Information theoretic dynamic Bayesian network approach for reconstructing genetic networks
- Conference Proceedings
- DOI reference: 10.2316/P.2011.717-079
An improved method to infer Gene Regulatory Network using S-System
- Conference Proceedings
- DOI reference: 10.1109/CEC.2011.5949728
Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions
- Conference Proceedings
- DOI reference: 10.1109/CEC.2011.5949839
Novel local improvement techniques in clustered memetic algorithm for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1109/CEC.2011.5949727
Dynamic Bayesian network modeling of cyanobacterial biological processes via gene clustering
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24955-6_12
Multi agent carbon trading incorporating human traits and game theory
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24965-5_5
A memetic approach to protein structure prediction in triangular lattices
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24955-6_74
Conflict resolution based global search operators for long protein structures prediction
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24955-6_75
Polynomial time algorithm for learning globally optimal dynamic bayesian network
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24965-5_81
Combining instantaneous and time-delayed interactions between genes - A two phase algorithm based on information theory
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-25832-9_11
Local and global algorithms for learning dynamic Bayesian networks
- Conference Proceedings
- DOI reference: 10.1109/ICDM.2012.18
FusGP: Bayesian co-learning of gene regulatory networks and protein interaction networks
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-34500-5_44
On the reconstruction of genetic network from partial microarray data
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-34475-6_83
Data discretization for dynamic Bayesian network based modeling of genetic networks
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-34481-7_37
Protein structure prediction based on optimal hydrophobic core formation
- Conference Proceedings
- DOI reference: 10.1109/CEC.2012.6256579
Adaptive regulatory genes cardinality for reconstructing genetic networks
- Conference Proceedings
- DOI reference: 10.1109/CEC.2012.6256462
Inferring large scale genetic networks with S-system model
- Conference Proceedings
- DOI reference: 10.1145/2463372.2463409
mDBN: Motif based learning of gene regulatory networks using dynamic Bayesian networks
- Conference Proceedings
- DOI reference: 10.1145/2463372.2463406
An adaptive strategy for assortative mating in genetic algorithm
- Conference Proceedings
- DOI reference: 10.1109/CEC.2013.6557835
A knowledge-based initial population generation in memetic algorithm for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-42042-9_68
Protein structure prediction with a new composite measure of diversity and memory-based diversification strategy
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-42042-9_80
On the analysis of time-delayed interactions in genetic network using S-system model
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-42042-9_76
Reverse engineering genetic networks with time-delayed S-system model and pearson correlation coefficient
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-42042-9_77
DFS based partial pathways in GA for protein structure prediction
- Conference Proceedings
- DOI reference: 10.1007/978-3-540-88436-1-4
Constraint minimization for efficient modelling of gene regulatory network
- Conference Proceedings
- DOI reference: 10.1007/978-3-540-88436-1-18
Generating synthetic gene regulatory networks
- Conference Proceedings
- DOI reference: 10.1007/978-3-540-88436-1-21
A study on the importance of differential prioritization in feature selection using toy datasets
Clustered Memetic Algorithm With Local Heuristics for Ab Initio Protein Structure Prediction
- Journals
- DOI reference: 10.1109/TEVC.2012.2213258
A model of the circadian clock in the cyanobacterium Cyanothece sp ATCC 51142
- Journals
- DOI reference: 10.1186/1471-2105-14-S2-S14
Diurnal rhythm of a unicellular diazotrophic cyanobacterium under mixotrophic conditions and elevated carbon dioxide
- Journals
- DOI reference: 10.1007/s11120-013-9888-0
Incorporating time-delays in S-System model for reverse engineering genetic networks
- Journals
- DOI reference: 10.1186/1471-2105-14-196
Evaluating influence of microRNA in reconstructing gene regulatory networks
- Journals
- DOI reference: 10.1007/s11571-013-9265-x
Sib-based survival selection technique for protein structure prediction in 3D-FCC lattice model
- Conference Proceedings
- DOI reference: 10.1007/978-3-319-12640-1_57
A priority based parental selection method for genetic algorithm
- Conference Proceedings
- DOI reference: 10.1145/2464576.2464641
Coupling of Cellular Processes and Their Coordinated Oscillations under Continuous Light in Cyanothece sp ATCC 51142, a Diazotrophic Unicellular Cyanobacterium
- Journals
- DOI reference: 10.1371/journal.pone.0125148
Influence of mixotrophic growth on rhythmic oscillations in expression of metabolic pathways in diazotrophic cyanobacterium Cyanothece sp ATCC 51142
- Journals
- DOI reference: 10.1016/j.biortech.2015.02.016
Stochastic S-system modeling of gene regulatory network
- Journals
- DOI reference: 10.1007/s11571-015-9346-0
Improving gene regulatory network inference using network topology information
- Journals
- DOI reference: 10.1039/c5mb00122f
Network decomposition based large-scale reverse engineering of gene regulatory network
- Journals
- DOI reference: 10.1016/j.neucom.2015.02.020
Decoupled modeling of gene regulatory networks using Michaelis-Menten kinetics
- Conference Proceedings
- DOI reference: 10.1007/978-3-319-26555-1_56
Frequency decomposition based gene clustering
- Conference Proceedings
- DOI reference: 10.1007/978-3-319-26535-3_20
Gene regulatory network inference using Michaelis-Menten kinetics
- Conference Proceedings
- DOI reference: 10.1109/CEC.2015.7257181
Towards large scale genetic network modeling
- Conference Proceedings
- DOI reference: 10.1109/CIBCB.2015.7300332
Significance of Non-edge Priors in Gene Regulatory Network Reconstruction
- Conference Proceedings
- DOI reference: 10.1007/978-3-319-12637-1_56
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique
- Conference Proceedings
- DOI reference: 10.1007/978-3-642-24958-7_29
Pattern recognition in bioinformatics
- Journals
- DOI reference: 10.1016/j.patrec.2010.06.001
Computational intelligence in bioinformatics
- Journals
- DOI reference: 10.1016/j.neucom.2010.05.008
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data
- Journals
- DOI reference: 10.1186/1471-2105-7-320
Learning structure of a gene regulatory network
- Conference Proceedings
- DOI reference: 10.1109/ICIS.2007.127
An efficient algorithm for computing the fitness function of a hydrophobic-hydrophilic model
Partially computed fitness function based genetic algorithm for hydrophobic-hydrophilic model
Increasing classification accuracy by combining adaptive sampling and convex pseudo-data
- Conference Proceedings
- DOI reference: 10.1007/11430919_67
Evaluation of fuzzy measures in profile hidden Markov models for protein sequences
- Conference Proceedings
- DOI reference: 10.1007/11573067_36
A frequency response based design of suboptimal reduced order controller
An incremental constructive layer neural network based power system stabiliser
A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding
Bayesian segmentation using residue proximity for secondary structure and contact prediction
- Conference Proceedings
- DOI reference: 10.1109/CIBCB.2006.331015
Fuzzy logic based discrete mode power system stabilizer
- Journals
- DOI reference: 10.1111/j.1934-6093.2002.tb00360.x
Fuzzy profile Hidden Markov models for protein sequence analysis
- Conference Proceedings
- DOI reference: 10.1109/cibcb.2005.1594950