Sequential Adaptation of Radial Basis Function Networks. - Visakan Kadirkamanathan; Mahesan Niranjan; Frank Fallside (NIPS, 1990)

Nonlinear adaptive filtering in nonstationary environments. - Visakan Kadirkamanathan; Mahesan Niranjan (ICASSP, 1991)

A nonlinear model for time series prediction and signal interpolation. - Mahesan Niranjan; Visakan Kadirkamanathan (ICASSP, 1991)

Models of dynamic complexity for time-series prediction (neural networks). - Visakan Kadirkamanathan; Mahesan Niranjan; Frank Fallside (ICASSP, 1992)

A Function Estimation Approach to Sequential Learning with Neural Networks. - Visakan Kadirkamanathan; Mahesan Niranjan (Neural Comput., 1993)

A B-Spline Based Algorithm for Shape From Shading. - Gu Junxiao; Visakan Kadirkamanathan (MVA, 1994)

Recursive Estimation of Dynamic Modular RBF Networks. - Visakan Kadirkamanathan; Maha Kadirkamanathan (NIPS, 1995)

Dynamic structure neural networks for stable adaptive control of nonlinear systems. - Simon G. Fabri; Visakan Kadirkamanathan (IEEE Trans. Neural Networks, 1996)

Statistical Control of RBF-like Networks for Classification. - Norbert Jankowski; Visakan Kadirkamanathan (ICANN, 1997)

Dual adaptive control of nonlinear stochastic systems using neural networks. - Simon G. Fabri; Visakan Kadirkamanathan (Autom., 1998)

On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. - Guoping Liu 003; Visakan Kadirkamanathan; Stephen A. Billings (Neural Networks, 1998)

Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.). - Visakan Kadirkamanathan (Artif. Intell. Rev., 1999)

Neural network-based variable structure control for nonlinear discrete systems. - Guoping Liu 003; Visakan Kadirkamanathan; Stephen A. Billings (Int. J. Syst. Sci., 1999)

Variable neural networks for adaptive control of nonlinear systems. - Guoping Liu 003; Visakan Kadirkamanathan; Stephen A. Billings (IEEE Trans. Syst. Man Cybern. Part C, 1999)

Particle filters for recursive model selection in linear and nonlinear system identification. - Visakan Kadirkamanathan; Mohamed Hisham Jaward; Simon G. Fabri; Maha Kadirkamanathan (CDC, 2000)

A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems. - Visakan Kadirkamanathan; Ping Li 058; Mohamed Hisham Jaward; Simon G. Fabri (CDC, 2000)

Nonlinear system identification using wavelet networks. - Guoping Liu 003; Stephen A. Billings; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2000)

Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems. - Ping Li 058; Visakan Kadirkamanathan (ECC, 2001)

Interacting multiple models for single-user channel estimation and equalization. - Mohamed Hisham Jaward; Visakan Kadirkamanathan (ICASSP, 2001)

Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming. - Shane Regunath; Visakan Kadirkamanathan (Appl. Soft Comput., 2001)

Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. - Ping Li 058; Visakan Kadirkamanathan (IEEE Trans. Syst. Man Cybern. Part C, 2001)

Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems. - Mohamed Hisham Jaward; Visakan Kadirkamanathan (PIMRC, 2002)

Adaptive multiuser detection for frequency selective channel using IMM. - Mohamed Hisham Jaward; Visakan Kadirkamanathan (PIMRC, 2002)

Particle filtering-based fault detection in non-linear stochastic systems. - Visakan Kadirkamanathan; Ping Li 058; Mohamed Hisham Jaward; Simon G. Fabri (Int. J. Syst. Sci., 2002)

Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter. - Ping Li 058; Roger M. Goodall; Visakan Kadirkamanathan (ECC, 2003)

Multiple models for blind multiuser detection in MIMO DS/CDMA systems. - Harini Kulatunga; M. H. Jawad; Visakan Kadirkamanathan (GLOBECOM, 2003)

Commutation of permanent-magnet synchronous AC motors for military and traction applications. - Paul J. Stewart; Visakan Kadirkamanathan (IEEE Trans. Ind. Electron., 2003)

Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems. - Jing Yang 006; Sarawan Wongsa; Visakan Kadirkamanathan; Stephen A. Billings; Phillip C. Wright (CIBCB, 2004)

Integrated Fault Diagnostics on the Grid. - Xiaoxu Ren; Max Ong; Geoffrey Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (ICECCS, 2004)

Decision Support System on the Grid. - Max Ong; Xiaoxu Ren; Jeff Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (KES, 2004)

A Service Oriented Architecture for Integration of Fault Diagnostics. - Xiaoxu Ren; Max Ong; Geoffrey Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (SAG, 2004)

Grid-Based Decision Support with Pro-Active Mobile Computing. - Max Ong; Muhammad Alkarouri; Xiaoxu Ren; Geoffrey Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (IEEE SCC, 2005)

Differential Evolution and Its Application to Metabolic Flux Analysis. - Jing Yang 006; Sarawan Wongsa; Visakan Kadirkamanathan; Stephen A. Billings; Phillip C. Wright (EvoWorkshops, 2005)

Multi-objective optimization of operational variables in a waste incineration plant. - Sean R. Anderson; Visakan Kadirkamanathan; Andrew J. Chipperfield; V. Sharifi; J. Swithenbank (Comput. Chem. Eng., 2005)

IJSS Editorial. - Peter J. Fleming; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2005)

Decision support system on the grid. - Max Ong; Xiaoxu Ren; Geoffrey Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (Int. J. Knowl. Based Intell. Eng. Syst., 2005)

Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization. - Kirusnapillai Selvarajah; Visakan Kadirkamanathan (ANTS Workshop, 2006)

Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum. - Visakan Kadirkamanathan; Jing Yang 006; Stephen A. Billings; Phillip C. Wright (Bioinform., 2006)

Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models. - M. A. Chadwick; Visakan Kadirkamanathan; S. A. Billings (Signal Process., 2006)

A DES approach for the contextual load modelling of supply chain system for instability analysis. - Nordin Bin Saad; Visakan Kadirkamanathan (Simul. Model. Pract. Theory, 2006)

Multiple H∞ Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels. - Harini Kulatunga; Visakan Kadirkamanathan (IEEE Signal Process. Lett., 2006)

Stability analysis of the particle dynamics in particle swarm optimizer. - Visakan Kadirkamanathan; Kirusnapillai Selvarajah; Peter J. Fleming (IEEE Trans. Evol. Comput., 2006)

Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach. - Harini Kulatunga; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2006)

Risk Mining for Strategic Decision Making. - G. M. Allan; N. D. Allan; Visakan Kadirkamanathan; Peter J. Fleming (AWIC, 2007)

Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. - Sarawan Wongsa; Visakan Kadirkamanathan; Stephen A. Billings; Phillip C. Wright (CIBCB, 2007)

In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. - Jing Yang 006; Visakan Kadirkamanathan; Stephen A. Billings (CIBCB, 2007)

Gaussian Process Latent Variable Models for Fault Detection. - Luka Eciolaza; Muhammad Alkarouri; Neil D. Lawrence; Visakan Kadirkamanathan; Peter J. Fleming (CIDM, 2007)

Time Series Forecasting Using Multiple Gaussian Process Prior Model. - Tomohiro Hachino; Visakan Kadirkamanathan (CIDM, 2007)

Modelling and identification of non-linear deterministic systems in the delta-domain. - Sean R. Anderson; Visakan Kadirkamanathan (Autom., 2007)

Service-oriented architecture on the Grid for integrated fault diagnostics. - Xiaoxu Ren; Max Ong; Geoffrey Allan; Visakan Kadirkamanathan; Haydn A. Thompson; Peter J. Fleming (Concurr. Comput. Pract. Exp., 2007)

Parametric polyspectrum density estimation using the bootstrap method. - Shahnoor Shanta; Visakan Kadirkamanathan (Signal Process., 2007)

System Identification From Multiple Short-Time-Duration Signals. - Sean R. Anderson; Paul Dean; Visakan Kadirkamanathan; Chris R. S. Kaneko; John Porrill (IEEE Trans. Biomed. Eng., 2007)

Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition. - Jing Yang 006; Sarawan Wongsa; Visakan Kadirkamanathan; Stephen A. Billings; Phillip C. Wright (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

A Canonical Space-Time State Space Model: State and Parameter Estimation. - Michael Dewar; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2007)

Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals. - Visakan Kadirkamanathan; Sean R. Anderson (IEEE Trans. Signal Process., 2008)

Adaptive Planning of Staffing Levels in Health Care Organisations. - Harini Kulatunga; William J. Knottenbelt; Visakan Kadirkamanathan (eHealth, 2009)

A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems. - Ping Li 058; Ian Postlethwaite; Visakan Kadirkamanathan; Michael Z. Q. Chen (ECC, 2009)

Modelling Stem Cells Lineages with Markov Trees. - Victor Olariu; Daniel Coca; Stephen A. Billings; Visakan Kadirkamanathan (PRIB, 2009)

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages. - Victor Olariu; Daniel Coca; Stephen A. Billings; Peter Tonge; Paul Gokhale; Peter W. Andrews; Visakan Kadirkamanathan (Bioinform., 2009)

Predictive control of fast-sampled systems using the delta-operator. - Visakan Kadirkamanathan; C. Halauca; Sean R. Anderson (Int. J. Syst. Sci., 2009)

Analysis of Neighborhood Behavior in Lead Optimization and Array Design. - George Papadatos; Anthony W. J. Cooper; Visakan Kadirkamanathan; Simon J. F. Macdonald; Iain M. McLay; Stephen D. Pickett; John Pritchard; Peter Willett 002; Valerie J. Gillet (J. Chem. Inf. Model., 2009)

Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation. - Michael Dewar; Kenneth Scerri; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2009)

Estimation and Model Selection for an IDE-Based Spatio-Temporal Model. - Kenneth Scerri; Michael Dewar; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2009)

Optimisation of maintenance scheduling strategies on the grid. - Alex Shenfield; Peter J. Fleming; Visakan Kadirkamanathan; Jeff Allan (Ann. Oper. Res., 2010)

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. - Michael Dewar; Visakan Kadirkamanathan; Manfred Opper; Guido Sanguinetti (BMC Syst. Biol., 2010)

An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models. - M. A. Chadwick; Sean R. Anderson; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2010)

Editorial. - Peter J. Fleming; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2010)

Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity. - George Papadatos; Muhammad Alkarouri; Valerie J. Gillet; Peter Willett 002; Visakan Kadirkamanathan; Christopher N. Luscombe; Gianpaolo Bravi; Nicola J. Richmond; Stephen D. Pickett; Jameed Hussain; John Pritchard; Anthony W. J. Cooper; et al. (J. Chem. Inf. Model., 2010)

Online Variational Inference for State-Space Models with Point-Process Observations. - Andrew Zammit-Mangion; Ke Yuan; Visakan Kadirkamanathan; Mahesan Niranjan; Guido Sanguinetti (Neural Comput., 2011)

A data-driven framework for neural field modeling. - Dean R. Freestone; Parham Aram; Michael Dewar; Kenneth Scerri; David B. Grayden; Visakan Kadirkamanathan (NeuroImage, 2011)

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. - Jing Yang 006; Hua-Liang Wei; Visakan Kadirkamanathan; Xiaofang Lin (ICMLC, 2012)

System identification of the fermentation system of Thermoanaerobacter sp. X514. - Jing Yang 006; Xiaofang Ling; Lishan Yao; Hua-Liang Wei; Visakan Kadirkamanathan (ISB, 2012)

Structure detection and parameter estimation for NARX models in a unified EM framework. - Tara Baldacchino; Sean R. Anderson; Visakan Kadirkamanathan (Autom., 2012)

Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations. - Andrew Zammit-Mangion; Guido Sanguinetti; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2012)

Modeling Conflict Dynamics with Spatio-temporal Data. - Andrew Zammit-Mangion; Michael Dewar; Visakan Kadirkamanathan; Anaid Flesken; Guido Sanguinetti (Springer, 2013)

A Bayesian framework for identifying cell migration dynamics. - Geoffrey R. Holmes; Sean R. Anderson; Giles Dixon; Stephen A. Renshaw; Visakan Kadirkamanathan (EMBC, 2013)

Computational system identification for Bayesian NARMAX modelling. - Tara Baldacchino; Sean R. Anderson; Visakan Kadirkamanathan (Autom., 2013)

Spatiotemporal multi-resolution approximation of the Amari type neural field model. - Parham Aram; Dean R. Freestone; Michael Dewar; Kenneth Scerri; Viktor K. Jirsa; David B. Grayden; Visakan Kadirkamanathan (NeuroImage, 2013)

Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems. - Julian Mercieca; Parham Aram; Visakan Kadirkamanathan (ECC, 2015)

An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares. - Parham Aram; Lingli Shen; John A. Pugh; Seetharaman Vaidyanathan; Visakan Kadirkamanathan (Bioinform., 2015)

A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process. - Shahnoor Shanta; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2015)

Model-based estimation of intra-cortical connectivity using electrophysiological data. - Parham Aram; Dean R. Freestone; Mark J. Cook; Visakan Kadirkamanathan; David B. Grayden (NeuroImage, 2015)

Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation. - Parham Aram; Visakan Kadirkamanathan; Sean R. Anderson (IEEE Trans. Neural Networks Learn. Syst., 2015)

Person-specific gesture set selection for optimised movement classification from EMG signals. - Adam Hartwell; Visakan Kadirkamanathan; Sean R. Anderson (EMBC, 2016)

Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science. - Julian Mercieca; Visakan Kadirkamanathan (Annu. Rev. Control., 2016)

Autonomous crowds tracking with box particle filtering and convolution particle filtering. - Allan De Freitas; Lyudmila Mihaylova; Amadou Gning; Donka S. Angelova; Visakan Kadirkamanathan (Autom., 2016)

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation. - Kirubhakaran Krishnanathan; Sean R. Anderson; Stephen A. Billings; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2016)

Statistical estimation of spatio-temporal systems. - Visakan Kadirkamanathan (ICAC, 2017)

Power sharing of parallel operated DC-DC converters using current-limiting droop control. - Andrei-Constantin Braitor; George C. Konstantopoulos; Visakan Kadirkamanathan (MED, 2017)

MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems. - Visakan Kadirkamanathan (MED, 2017)

Weak Interactions Based System Partitioning Using Integer Linear Programming. - Romain Guicherd; Paul A. Trodden; Andrew R. Mills; Visakan Kadirkamanathan (CoRR, 2017)

UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters. - Shlomo Yaakov Gadelovits; Qing-Chang Zhong; Visakan Kadirkamanathan; Alon Kuperman (IEEE Trans. Ind. Electron., 2017)

Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. - Adam Hartwell; Visakan Kadirkamanathan; Sean R. Anderson (BioRob, 2018)

Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids. - Andrei-Constantin Braitor; Pablo R. Baldivieso Monasterios; George C. Konstantopoulos; Visakan Kadirkamanathan (IECON, 2018)

Identification of Two-Time Scaled Systems Using Prefilters. - Anderson L. O. Cavalcanti; Karl Heinz Kienitz; Visakan Kadirkamanathan (J. Control. Sci. Eng., 2018)

Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines. - Christopher J. Hambley; Bryn Ll. Jones; Ian Griffin; Andrew R. Mills; Visakan Kadirkamanathan (Syst. Eng., 2018)

sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. - João A. Duro; Robin C. Purshouse; Shaul Salomon; Daniel C. Oara; Visakan Kadirkamanathan; Peter J. Fleming (EMO, 2019)

Reinforcement learning for condition-based control of gas turbine engines. - Ibrahim Sanusi; Andrew R. Mills; Paul A. Trodden; Visakan Kadirkamanathan; Tony J. Dodd (ECC, 2019)

A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing. - Moschos Papananias; Thomas E. McLeay; Mahdi Mahfouf; Visakan Kadirkamanathan (Comput. Ind., 2019)

Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters. - Shlomo Yaakov Gadelovits; Dauren Insepov; Visakan Kadirkamanathan; Qing-Chang Zhong; Alon Kuperman (IEEE Trans. Ind. Electron., 2019)

Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters. - Shlomo Yaakov Gadelovits; Qing-Chang Zhong; Visakan Kadirkamanathan; Alon Kuperman (IEEE Trans. Ind. Electron., 2019)

Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration. - Evgeny Zotov; Ashutosh Tiwari; Visakan Kadirkamanathan (EANN, 2020)

Novel droop control design for overvoltage protection of DC microgrids with a constant power load. - Andrei-Constantin Braitor; George C. Konstantopoulos; Visakan Kadirkamanathan (MED, 2020)

Inspection by exception: A new machine learning-based approach for multistage manufacturing. - Moschos Papananias; Thomas E. McLeay; Olusayo Obajemu; Mahdi Mahfouf; Visakan Kadirkamanathan (Appl. Soft Comput., 2020)

A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data. - Adam Hartwell; Visakan Kadirkamanathan; Sean R. Anderson (CoRR, 2020)

JointCalc: A web-based personalised patient decision support tool for joint replacement. - Evgeny Zotov; Andrew F. Hills; Fabio L. de Mello; Parham Aram; Adrian Sayers; Ashley W. Blom; Eugene V. McCloskey; J. Mark Wilkinson; Visakan Kadirkamanathan (Int. J. Medical Informatics, 2020)

A data-driven approach for predicting printability in metal additive manufacturing processes. - William Mycroft; Mordechai Katzman; Samuel Tammas-Williams; Everth Hernandez-Nava; George Panoutsos; Iain Todd; Visakan Kadirkamanathan (J. Intell. Manuf., 2020)

A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements. - Julian Mercieca; Parham Aram; Bryn Ll. Jones; Visakan Kadirkamanathan (IEEE Trans. Control. Syst. Technol., 2020)

Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection. - Andrei-Constantin Braitor; George C. Konstantopoulos; Visakan Kadirkamanathan (MED, 2021)

In-flight Novelty Detection with Convolutional Neural Networks. - Adam Hartwell; Felipe Montana; Will Jacobs; Visakan Kadirkamanathan; Andrew R. Mills; Tom Clark (CoRR, 2021)

Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. - Romain Guicherd; Andrew R. Mills; Paul A. Trodden; Visakan Kadirkamanathan (IEEE Control. Syst. Lett., 2021)

CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin. - Evgeny Zotov; Visakan Kadirkamanathan (Frontiers Artif. Intell., 2021)

Conditional StyleGAN modelling and analysis for a machining digital twin. - Evgeny Zotov; Ashutosh Tiwari; Visakan Kadirkamanathan (Integr. Comput. Aided Eng., 2021)

50 Years of international journal of systems science: a review of the past and trends for the future. - Xinxin Wang 001; Yurui Chang; Zeshui Xu; Zidong Wang 001; Visakan Kadirkamanathan (Int. J. Syst. Sci., 2021)

A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations. - Mateo Leco; Visakan Kadirkamanathan (Robotics Comput. Integr. Manuf., 2021)

Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids. - Andrei-Constantin Braitor; George C. Konstantopoulos; Visakan Kadirkamanathan (IEEE Trans. Control. Syst. Technol., 2021)

Toward scalable benchmark problems for multi-objective multidisciplinary optimization. - Victoria Johnson; João A. Duro; Visakan Kadirkamanathan; Robin C. Purshouse (SSCI, 2022)

Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control. - Andrei-Constantin Braitor; George C. Konstantopoulos; Visakan Kadirkamanathan (Autom., 2022)

Supervised-distributed control with joint performance and communication optimisation. - Romain Guicherd; Paul A. Trodden; Andrew R. Mills; Visakan Kadirkamanathan (Int. J. Control, 2022)

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. - Mateo Leco; Thomas McLeay; Visakan Kadirkamanathan (Robotics Comput. Integr. Manuf., 2022)

A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. - Victoria Johnson; João A. Duro; Visakan Kadirkamanathan; Robin C. Purshouse (EMO, 2023)

A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. - Victoria Johnson; João A. Duro; Visakan Kadirkamanathan; Robin C. Purshouse (GECCO Companion, 2023)

Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (ISPA, 2023)

Control of Isolated AC Microgrids with Constant Power Loads: A Set Invariance Approach. - Grigoris Michos; George C. Konstantopoulos; Paul A. Trodden; Visakan Kadirkamanathan (MED, 2023)

Through-life Monitoring of Resource-constrained Systems and Fleets. - Felipe Montana; Adam Hartwell; Will Jacobs; Visakan Kadirkamanathan; Andrew R. Mills; Tom Clark (CoRR, 2023)

Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design. - Anastasia Kadochnikova; Yunpeng Zhu; Zi-Qiang Lang; Visakan Kadirkamanathan (IEEE Trans. Control. Syst. Technol., 2023)

Estimation of potential field environments from heterogeneous behaviour of sensing agents. - Anastasia Kadochnikova; Visakan Kadirkamanathan (IET Signal Process., 2023)

Metaparametric Neural Networks for Survival Analysis. - Fabio Luis de Mello; J. Mark Wilkinson; Visakan Kadirkamanathan (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Novel Spindle Speed and Angle Estimation Strategy in Multi-material Robotic Drilling. - Bin Chen; Chaoyue Niu; Erica Smith; Rob Bramley; Pete Crawforth; Mahdi Mahfouf; Visakan Kadirkamanathan (CASE, 2024)

Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration. - Bohua Peng; Bin Chen; Wei He 017; Visakan Kadirkamanathan (ETFA, 2024)

Efficient Token Sparsification Through the Lens of Infused Knowledge. - Bohua Peng; Bin Chen; Wei He 017; William Thorne; Visakan Kadirkamanathan (FUSION, 2024)

Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (ICIP, 2024)

Learning Input Driven Dynamic Bayesian Networks with Measurement Noise. - Dávid Veres; Ping Li 058; Visakan Kadirkamanathan (ICMLA, 2024)

Pixel-based Hole Quality Evaluation in Robot Drilling Manufacturing Process. - Chaoyue Niu; Bin Chen; Erica Smith; Robert Bramley; Pete Crawforth; Mahdi Mahfouf; Visakan Kadirkamanathan (INDIN, 2024)

Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification. - William R. Jacobs; Visakan Kadirkamanathan; Sean R. Anderson (IEEE Access, 2024)

Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation. - Weixin Cui; Shan Lou; Wenhan Zeng; Visakan Kadirkamanathan; Yuchu Qin; Paul J. Scott; Xiangqian Jiang (Adv. Eng. Informatics, 2024)

Spatio-temporal Super-Resolution of Thermal Image Sequences through Kalman Filtering and Smoothing. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (SSP, 2025)