Visakan Kadirkamanathan

144 papers B 6C 17Misc 6Journal 82Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning-based robotic machining error prediction for high precision manufacturing. Robotics Comput. Integr. Manuf. Chaoyue Niu, Bin Chen, Simon Fletcher, Peace Onawumi, Erdem Ozturk, Mahdi Mahfouf, Visakan Kadirkamanathan
2025	C	`conf`	A Deep Reinforcement Learning-based Autonomous Robotic Operation Framework for Blood Gas Analyzers. INDIN Haiyang Jiang, Tong Liu, Huaping Liu, Visakan Kadirkamanathan, Hang Wu, Kai Wang
2025	—	`conf`	Spatio-temporal Super-Resolution of Thermal Image Sequences through Kalman Filtering and Smoothing. SSP Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan
2024	—	`conf`	A Novel Spindle Speed and Angle Estimation Strategy in Multi-material Robotic Drilling. CASE Bin Chen, Chaoyue Niu, Erica Smith, Rob Bramley, Pete Crawforth, Mahdi Mahfouf, Visakan Kadirkamanathan
2024	B	`conf`	Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera. ICIP Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan
2024	C	`conf`	Efficient Token Sparsification Through the Lens of Infused Knowledge. FUSION Bohua Peng, Bin Chen, Wei He, William Thorne, Visakan Kadirkamanathan
2024	J	`jnl`	Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification. IEEE Access William R. Jacobs, Visakan Kadirkamanathan, Sean R. Anderson
2024	C	`conf`	Learning Input Driven Dynamic Bayesian Networks with Measurement Noise. ICMLA Dávid Veres, Ping Li, Visakan Kadirkamanathan
2024	C	`conf`	Pixel-based Hole Quality Evaluation in Robot Drilling Manufacturing Process. INDIN Chaoyue Niu, Bin Chen, Erica Smith, Robert Bramley, Pete Crawforth, Mahdi Mahfouf, Visakan Kadirkamanathan
2024	C	`conf`	Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration. ETFA Bohua Peng, Bin Chen, Wei He, Visakan Kadirkamanathan
2024	J	`jnl`	Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation. Adv. Eng. Informatics Weixin Cui, Shan Lou, Wenhan Zeng, Visakan Kadirkamanathan, Yuchu Qin, Paul J. Scott, Xiangqian Jiang
2023	C	`conf`	A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. EMO Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse
2023	—	`conf`	A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. GECCO Companion Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse
2023	—	`conf`	Control of Isolated AC Microgrids with Constant Power Loads: A Set Invariance Approach. MED Grigoris Michos, George C. Konstantopoulos, Paul A. Trodden, Visakan Kadirkamanathan
2023	C	`conf`	Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images. ISPA Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan
2023	J	`jnl`	Estimation of potential field environments from heterogeneous behaviour of sensing agents. IET Signal Process. Anastasia Kadochnikova, Visakan Kadirkamanathan
2023	J	`jnl`	Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design. IEEE Trans. Control. Syst. Technol. Anastasia Kadochnikova, Yunpeng Zhu, Zi-Qiang Lang, Visakan Kadirkamanathan
2023	J	`jnl`	Metaparametric Neural Networks for Survival Analysis. IEEE Trans. Neural Networks Learn. Syst. Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan
2023	J	`jnl`	Through-life Monitoring of Resource-constrained Systems and Fleets. CoRR Felipe Montana, Adam Hartwell, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark
2022	J	`jnl`	A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts. Robotics Comput. Integr. Manuf. Mateo Leco, Thomas McLeay, Visakan Kadirkamanathan
2022	J	`jnl`	Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control. Autom. Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
2022	J	`jnl`	Supervised-distributed control with joint performance and communication optimisation. Int. J. Control Romain Guicherd, Paul A. Trodden, Andrew R. Mills, Visakan Kadirkamanathan
2022	—	`conf`	Toward scalable benchmark problems for multi-objective multidisciplinary optimization. SSCI Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse
2021	J	`jnl`	50 Years of international journal of systems science: a review of the past and trends for the future. Int. J. Syst. Sci. Xinxin Wang, Yurui Chang, Zeshui Xu, Zidong Wang, Visakan Kadirkamanathan
2021	J	`jnl`	A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations. Robotics Comput. Integr. Manuf. Mateo Leco, Visakan Kadirkamanathan
2021	J	`jnl`	Conditional StyleGAN modelling and analysis for a machining digital twin. Integr. Comput. Aided Eng. Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan
2021	J	`jnl`	Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids. IEEE Trans. Control. Syst. Technol. Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
2021	J	`jnl`	CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin. Frontiers Artif. Intell. Evgeny Zotov, Visakan Kadirkamanathan
2021	—	`conf`	Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection. MED Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
2021	J	`jnl`	In-flight Novelty Detection with Convolutional Neural Networks. CoRR Adam Hartwell, Felipe Montana, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark
2021	J	`jnl`	Metaparametric Neural Networks for Survival Analysis. CoRR Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan
2021	C	`conf`	Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. ACC Romain Guicherd, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan
2021	J	`jnl`	Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. IEEE Control. Syst. Lett. Romain Guicherd, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan
2020	J	`jnl`	A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements. IEEE Trans. Control. Syst. Technol. Julian Mercieca, Parham Aram, Bryn Ll. Jones, Visakan Kadirkamanathan
2020	J	`jnl`	A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data. CoRR Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
2020	J	`jnl`	A data-driven approach for predicting printability in metal additive manufacturing processes. J. Intell. Manuf. William Mycroft, Mordechai Katzman, Samuel Tammas-Williams, Everth Hernandez-Nava, George Panoutsos, Iain Todd, Visakan Kadirkamanathan
2020	J	`jnl`	Inspection by exception: A new machine learning-based approach for multistage manufacturing. Appl. Soft Comput. Moschos Papananias, Thomas E. McLeay, Olusayo Obajemu, Mahdi Mahfouf, Visakan Kadirkamanathan
2020	J	`jnl`	JointCalc: A web-based personalised patient decision support tool for joint replacement. Int. J. Medical Informatics Evgeny Zotov, Andrew F. Hills, Fabio L. de Mello, Parham Aram, Adrian Sayers, Ashley W. Blom, Eugene V. McCloskey, J. Mark Wilkinson, Visakan Kadirkamanathan
2020	—	`conf`	Novel droop control design for overvoltage protection of DC microgrids with a constant power load. MED Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
2020	C	`conf`	Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration. EANN Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan
2019	J	`jnl`	A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing. Comput. Ind. Moschos Papananias, Thomas E. McLeay, Mahdi Mahfouf, Visakan Kadirkamanathan
2019	—	`conf`	Reinforcement learning for condition-based control of gas turbine engines. ECC Ibrahim Sanusi, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan, Tony J. Dodd
2019	J	`jnl`	Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. Shlomo Yaakov Gadelovits, Dauren Insepov, Visakan Kadirkamanathan, Qing-Chang Zhong, Alon Kuperman
2019	J	`jnl`	Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. Shlomo Yaakov Gadelovits, Qing-Chang Zhong, Visakan Kadirkamanathan, Alon Kuperman
2019	C	`conf`	sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. EMO João A. Duro, Robin C. Purshouse, Shaul Salomon, Daniel C. Oara, Visakan Kadirkamanathan, Peter J. Fleming
2018	—	`conf`	Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. BioRob Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
2018	J	`jnl`	Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. CoRR Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
2018	C	`conf`	Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids. IECON Andrei-Constantin Braitor, Pablo R. Baldivieso Monasterios, George C. Konstantopoulos, Visakan Kadirkamanathan
2018	J	`jnl`	Identification of Two-Time Scaled Systems Using Prefilters. J. Control. Sci. Eng. Anderson L. O. Cavalcanti, Karl Heinz Kienitz, Visakan Kadirkamanathan
2018	J	`jnl`	Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines. Syst. Eng. Christopher J. Hambley, Bryn Ll. Jones, Ian Griffin, Andrew R. Mills, Visakan Kadirkamanathan
2017	—	`conf`	MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems. MED Visakan Kadirkamanathan
2017	—	`conf`	Power sharing of parallel operated DC-DC converters using current-limiting droop control. MED Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
2017	—	`conf`	Statistical estimation of spatio-temporal systems. ICAC Visakan Kadirkamanathan
2017	J	`jnl`	UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. Shlomo Yaakov Gadelovits, Qing-Chang Zhong, Visakan Kadirkamanathan, Alon Kuperman
2017	J	`jnl`	Weak Interactions Based System Partitioning Using Integer Linear Programming. CoRR Romain Guicherd, Paul A. Trodden, Andrew R. Mills, Visakan Kadirkamanathan
2016	J	`jnl`	Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova, Visakan Kadirkamanathan
2016	J	`jnl`	Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation. Int. J. Syst. Sci. Kirubhakaran Krishnanathan, Sean R. Anderson, Stephen A. Billings, Visakan Kadirkamanathan
2016	J	`jnl`	Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science. Annu. Rev. Control. Julian Mercieca, Visakan Kadirkamanathan
2016	—	`conf`	Person-specific gesture set selection for optimised movement classification from EMG signals. EMBC Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
2015	J	`jnl`	A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process. Int. J. Syst. Sci. Shahnoor Shanta, Visakan Kadirkamanathan
2015	J	`jnl`	An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares. Bioinform. Parham Aram, Lingli Shen, John A. Pugh, Seetharaman Vaidyanathan, Visakan Kadirkamanathan
2015	J	`jnl`	Model-based estimation of intra-cortical connectivity using electrophysiological data. NeuroImage Parham Aram, Dean R. Freestone, Mark J. Cook, Visakan Kadirkamanathan, David B. Grayden
2015	J	`jnl`	Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation. IEEE Trans. Neural Networks Learn. Syst. Parham Aram, Visakan Kadirkamanathan, Sean R. Anderson
2015	—	`conf`	Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems. ECC Julian Mercieca, Parham Aram, Visakan Kadirkamanathan
2013	—	`conf`	A Bayesian framework for identifying cell migration dynamics. EMBC Geoffrey R. Holmes, Sean R. Anderson, Giles Dixon, Stephen A. Renshaw, Visakan Kadirkamanathan
2013	J	`jnl`	Computational system identification for Bayesian NARMAX modelling. Autom. Tara Baldacchino, Sean R. Anderson, Visakan Kadirkamanathan
2013	—	`book`	Modeling Conflict Dynamics with Spatio-temporal Data. Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaid Flesken, Guido Sanguinetti
2013	J	`jnl`	Spatiotemporal multi-resolution approximation of the Amari type neural field model. NeuroImage Parham Aram, Dean R. Freestone, Michael Dewar, Kenneth Scerri, Viktor K. Jirsa, David B. Grayden, Visakan Kadirkamanathan
2012	J	`jnl`	Structure detection and parameter estimation for NARX models in a unified EM framework. Autom. Tara Baldacchino, Sean R. Anderson, Visakan Kadirkamanathan
2012	Misc	`conf`	System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. ICMLC Jing Yang, Hua-Liang Wei, Visakan Kadirkamanathan, Xiaofang Lin
2012	—	`conf`	System identification of the fermentation system of Thermoanaerobacter sp. X514. ISB Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei, Visakan Kadirkamanathan
2012	J	`jnl`	Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations. IEEE Trans. Signal Process. Andrew Zammit-Mangion, Guido Sanguinetti, Visakan Kadirkamanathan
2011	J	`jnl`	A data-driven framework for neural field modeling. NeuroImage Dean R. Freestone, Parham Aram, Michael Dewar, Kenneth Scerri, David B. Grayden, Visakan Kadirkamanathan
2011	J	`jnl`	Online Variational Inference for State-Space Models with Point-Process Observations. Neural Comput. Andrew Zammit-Mangion, Ke Yuan, Visakan Kadirkamanathan, Mahesan Niranjan, Guido Sanguinetti
2010	J	`jnl`	An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models. Int. J. Syst. Sci. M. A. Chadwick, Sean R. Anderson, Visakan Kadirkamanathan
2010	J	`jnl`	Editorial. Int. J. Syst. Sci. Peter J. Fleming, Visakan Kadirkamanathan
2010	J	`jnl`	Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity. J. Chem. Inf. Model. George Papadatos, Muhammad Alkarouri, Valerie J. Gillet, Peter Willett, Visakan Kadirkamanathan, Christopher N. Luscombe, Gianpaolo Bravi, Nicola J. Richmond, Stephen D. Pickett, Jameed Hussain, John Pritchard, Anthony W. J. Cooper, Simon J. F. Macdonald
2010	J	`jnl`	Optimisation of maintenance scheduling strategies on the grid. Ann. Oper. Res. Alex Shenfield, Peter J. Fleming, Visakan Kadirkamanathan, Jeff Allan
2010	J	`jnl`	Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. BMC Syst. Biol. Michael Dewar, Visakan Kadirkamanathan, Manfred Opper, Guido Sanguinetti
2009	—	`conf`	A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems. ECC Ping Li, Ian Postlethwaite, Visakan Kadirkamanathan, Michael Z. Q. Chen
2009	—	`conf`	Adaptive Planning of Staffing Levels in Health Care Organisations. eHealth Harini Kulatunga, William J. Knottenbelt, Visakan Kadirkamanathan
2009	J	`jnl`	Analysis of Neighborhood Behavior in Lead Optimization and Array Design. J. Chem. Inf. Model. George Papadatos, Anthony W. J. Cooper, Visakan Kadirkamanathan, Simon J. F. Macdonald, Iain M. McLay, Stephen D. Pickett, John Pritchard, Peter Willett, Valerie J. Gillet
2009	J	`jnl`	Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation. IEEE Trans. Signal Process. Michael Dewar, Kenneth Scerri, Visakan Kadirkamanathan
2009	J	`jnl`	Estimation and Model Selection for an IDE-Based Spatio-Temporal Model. IEEE Trans. Signal Process. Kenneth Scerri, Michael Dewar, Visakan Kadirkamanathan
2009	—	`conf`	Modelling Stem Cells Lineages with Markov Trees. PRIB Victor Olariu, Daniel Coca, Stephen A. Billings, Visakan Kadirkamanathan
2009	J	`jnl`	Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages. Bioinform. Victor Olariu, Daniel Coca, Stephen A. Billings, Peter Tonge, Paul Gokhale, Peter W. Andrews, Visakan Kadirkamanathan
2009	—	`ed.`	Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings PRIB Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel
2009	J	`jnl`	Predictive control of fast-sampled systems using the delta-operator. Int. J. Syst. Sci. Visakan Kadirkamanathan, C. Halauca, Sean R. Anderson
2008	J	`jnl`	Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals. IEEE Trans. Signal Process. Visakan Kadirkamanathan, Sean R. Anderson
2007	J	`jnl`	A Canonical Space-Time State Space Model: State and Parameter Estimation. IEEE Trans. Signal Process. Michael Dewar, Visakan Kadirkamanathan
2007	C	`conf`	Gaussian Process Latent Variable Models for Fault Detection. CIDM Luka Eciolaza, Muhammad Alkarouri, Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming
2007	C	`conf`	In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. CIBCB Jing Yang, Visakan Kadirkamanathan, Stephen A. Billings
2007	C	`conf`	Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. CIBCB Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
2007	J	`jnl`	Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
2007	J	`jnl`	Modelling and identification of non-linear deterministic systems in the delta-domain. Autom. Sean R. Anderson, Visakan Kadirkamanathan
2007	—	`conf`	Optimisation of Maintenance Scheduling Strategies on the Grid. CISched Alex Shenfield, Peter J. Fleming, Jeff Allan, Visakan Kadirkamanathan
2007	J	`jnl`	Parametric polyspectrum density estimation using the bootstrap method. Signal Process. Shahnoor Shanta, Visakan Kadirkamanathan
2007	—	`conf`	Risk Mining for Strategic Decision Making. AWIC G. M. Allan, N. D. Allan, Visakan Kadirkamanathan, Peter J. Fleming
2007	J	`jnl`	Service-oriented architecture on the Grid for integrated fault diagnostics. Concurr. Comput. Pract. Exp. Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2007	J	`jnl`	System Identification From Multiple Short-Time-Duration Signals. IEEE Trans. Biomed. Eng. Sean R. Anderson, Paul Dean, Visakan Kadirkamanathan, Chris R. S. Kaneko, John Porrill
2007	C	`conf`	Time Series Forecasting Using Multiple Gaussian Process Prior Model. CIDM Tomohiro Hachino, Visakan Kadirkamanathan
2006	J	`jnl`	A DES approach for the contextual load modelling of supply chain system for instability analysis. Simul. Model. Pract. Theory Nordin Bin Saad, Visakan Kadirkamanathan
2006	J	`jnl`	Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach. IEEE Trans. Signal Process. Harini Kulatunga, Visakan Kadirkamanathan
2006	J	`jnl`	Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models. Signal Process. M. A. Chadwick, Visakan Kadirkamanathan, S. A. Billings
2006	—	`conf`	Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization. ANTS Workshop Kirusnapillai Selvarajah, Visakan Kadirkamanathan
2006	J	`jnl`	Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Bioinform. Visakan Kadirkamanathan, Jing Yang, Stephen A. Billings, Phillip C. Wright
2006	J	`jnl`	Multiple H IEEE Signal Process. Lett. Harini Kulatunga, Visakan Kadirkamanathan
2006	J	`jnl`	Stability analysis of the particle dynamics in particle swarm optimizer. IEEE Trans. Evol. Comput. Visakan Kadirkamanathan, Kirusnapillai Selvarajah, Peter J. Fleming
2005	J	`jnl`	Decision support system on the grid. Int. J. Knowl. Based Intell. Eng. Syst. Max Ong, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2005	—	`conf`	Differential Evolution and Its Application to Metabolic Flux Analysis. EvoWorkshops Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
2005	—	`conf`	Grid-Based Decision Support with Pro-Active Mobile Computing. IEEE SCC Max Ong, Muhammad Alkarouri, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2005	J	`jnl`	IJSS Editorial. Int. J. Syst. Sci. Peter J. Fleming, Visakan Kadirkamanathan
2005	J	`jnl`	Multi-objective optimization of operational variables in a waste incineration plant. Comput. Chem. Eng. Sean R. Anderson, Visakan Kadirkamanathan, Andrew J. Chipperfield, V. Sharifi, J. Swithenbank
2004	—	`conf`	A Service Oriented Architecture for Integration of Fault Diagnostics. SAG Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2004	B	`conf`	Decision Support System on the Grid. KES Max Ong, Xiaoxu Ren, Jeff Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2004	B	`conf`	Integrated Fault Diagnostics on the Grid. ICECCS Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
2004	C	`conf`	Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems. CIBCB Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
2003	J	`jnl`	Commutation of permanent-magnet synchronous AC motors for military and traction applications. IEEE Trans. Ind. Electron. Paul J. Stewart, Visakan Kadirkamanathan
2003	B	`conf`	Multiple models for blind multiuser detection in MIMO DS/CDMA systems. GLOBECOM Harini Kulatunga, M. H. Jawad, Visakan Kadirkamanathan
2003	—	`conf`	Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter. ECC Ping Li, Roger M. Goodall, Visakan Kadirkamanathan
2002	B	`conf`	Adaptive multiuser detection for frequency selective channel using IMM. PIMRC Mohamed Hisham Jaward, Visakan Kadirkamanathan
2002	B	`conf`	Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems. PIMRC Mohamed Hisham Jaward, Visakan Kadirkamanathan
2002	J	`jnl`	Particle filtering-based fault detection in non-linear stochastic systems. Int. J. Syst. Sci. Visakan Kadirkamanathan, Ping Li, Mohamed Hisham Jaward, Simon G. Fabri
2001	J	`jnl`	Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming. Appl. Soft Comput. Shane Regunath, Visakan Kadirkamanathan
2001	Misc	`conf`	Interacting multiple models for single-user channel estimation and equalization. ICASSP Mohamed Hisham Jaward, Visakan Kadirkamanathan
2001	J	`jnl`	Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. IEEE Trans. Syst. Man Cybern. Part C Ping Li, Visakan Kadirkamanathan
2001	—	`conf`	Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems. ECC Ping Li, Visakan Kadirkamanathan
2000	—	`conf`	A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems. CDC Visakan Kadirkamanathan, Ping Li, Mohamed Hisham Jaward, Simon G. Fabri
2000	J	`jnl`	Nonlinear system identification using wavelet networks. Int. J. Syst. Sci. Guoping Liu, Stephen A. Billings, Visakan Kadirkamanathan
2000	—	`conf`	Particle filters for recursive model selection in linear and nonlinear system identification. CDC Visakan Kadirkamanathan, Mohamed Hisham Jaward, Simon G. Fabri, Maha Kadirkamanathan
1999	J	`jnl`	Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.). Artif. Intell. Rev. Visakan Kadirkamanathan
1999	J	`jnl`	Neural network-based variable structure control for nonlinear discrete systems. Int. J. Syst. Sci. Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings
1999	J	`jnl`	Variable neural networks for adaptive control of nonlinear systems. IEEE Trans. Syst. Man Cybern. Part C Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings
1998	J	`jnl`	Dual adaptive control of nonlinear stochastic systems using neural networks. Autom. Simon G. Fabri, Visakan Kadirkamanathan
1998	J	`jnl`	On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. Neural Networks Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings
1997	C	`conf`	Statistical Control of RBF-like Networks for Classification. ICANN Norbert Jankowski, Visakan Kadirkamanathan
1996	J	`jnl`	Dynamic structure neural networks for stable adaptive control of nonlinear systems. IEEE Trans. Neural Networks Simon G. Fabri, Visakan Kadirkamanathan
1995	—	`conf`	Recursive Estimation of Dynamic Modular RBF Networks. NIPS Visakan Kadirkamanathan, Maha Kadirkamanathan
1994	Misc	`conf`	A B-Spline Based Algorithm for Shape From Shading. MVA Gu Junxiao, Visakan Kadirkamanathan
1993	J	`jnl`	A Function Estimation Approach to Sequential Learning with Neural Networks. Neural Comput. Visakan Kadirkamanathan, Mahesan Niranjan
1992	Misc	`conf`	Models of dynamic complexity for time-series prediction (neural networks). ICASSP Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside
1991	Misc	`conf`	A nonlinear model for time series prediction and signal interpolation. ICASSP Mahesan Niranjan, Visakan Kadirkamanathan
1991	Misc	`conf`	Nonlinear adaptive filtering in nonstationary environments. ICASSP Visakan Kadirkamanathan, Mahesan Niranjan
1990	—	`conf`	Sequential Adaptation of Radial Basis Function Networks. NIPS Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside