Saman K. Halgamuge

Orcid: 0000-0002-2536-4930

Affiliations:
  • University of Melbourne, Department of Mechanical Engineering, VIC, Australia
  • Australian National University, Research School of Engineering, Canberra, ACT, Australia


According to our database1, Saman K. Halgamuge authored at least 143 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to computational intelligence in bioinformatics and mechatronics".

Timeline

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Bibliography

2024
Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers.
IEEE Trans. Parallel Distributed Syst., April, 2024

A Distributed Coordination Approach for the Charge and Discharge of Electric Vehicles in Unbalanced Distribution Grids.
IEEE Trans. Ind. Informatics, March, 2024

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks.
CoRR, 2024

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions.
CoRR, 2024

A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments.
CoRR, 2024

AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models.
CoRR, 2024

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data.
CoRR, 2024

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Designing higher value roads to preserve species at risk by optimally controlling traffic flow.
Ann. Oper. Res., 2023

Undercover Deepfakes: Detecting Fake Segments in Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Achilles Heel of Artificial Intelligence.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022
Coordinated Charge and Discharge Scheduling of Electric Vehicles for Load Curve Shaping.
IEEE Trans. Intell. Transp. Syst., 2022

Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge-cloud computing environments.
Future Gener. Comput. Syst., 2022

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations.
Expert Syst. Appl., 2022

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.
CoRR, 2022

Dimensionality reduction for visualizing high-dimensional biological data.
Biosyst., 2022

2021
QoE-Aware Traffic Aggregation Using Preference Logic for Edge Intelligence.
IEEE Trans. Wirel. Commun., 2021

Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights.
Proc. VLDB Endow., 2021

Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020
A Physarum-Inspired Algorithm for Minimum-Cost Relay Node Placement in Wireless Sensor Networks.
IEEE/ACM Trans. Netw., 2020

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid.
IEEE Trans. Intell. Transp. Syst., 2020

Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction.
IEEE Trans. Fuzzy Syst., 2020

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems.
IEEE Trans. Control. Netw. Syst., 2020

An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage.
CoRR, 2020

A Decentralized Electric Vehicle Charge Scheduling Scheme for Tracking Power Profiles.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks.
IEEE/ACM Trans. Netw., 2019

ENVirT: inference of ecological characteristics of viruses from metagenomic data.
BMC Bioinform., 2019

Minimum-Cost Heterogeneous Node Placement in Wireless Sensor Networks.
IEEE Access, 2019

Improving MMD-GAN Training with Repulsive Loss Function.
Proceedings of the 7th International Conference on Learning Representations, 2019

Exploring Computational Inference of Microbial Interactions and their Dynamics.
Proceedings of the 14th Conference on Industrial and Information Systems, 2019

Experimental Platform for Measuring the Impacts of Different Charging Strategies on Battery Degradation.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Similarity of Continuous Optimization Problems from the Algorithm Performance Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation.
IEEE Trans. Smart Grid, 2018

Assessment of Gait Characteristics in Total Knee Arthroplasty Patients Using a Hierarchical Partial Least Squares Method.
IEEE J. Biomed. Health Informatics, 2018

A Recursive Decomposition Method for Large Scale Continuous Optimization.
IEEE Trans. Evol. Comput., 2018

A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration.
BMC Bioinform., 2018

2017
Quantifying Variable Interactions in Continuous Optimization Problems.
IEEE Trans. Evol. Comput., 2017

Traffic Reduction in Packet Switched Networked Control Systems Using Deadband Error Modulation.
IEEE Trans. Autom. Control., 2017

The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways.
BMC Bioinform., 2017

CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision.
BMC Bioinform., 2017

Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.
BMC Bioinform., 2017

A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning.
BMC Syst. Biol., 2016

Integrating Data-Driven Forecasting and Optimization to Improve the Operation of Distributed Energy Storage.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Use of local field potentials of dissociated cultures grown on multi-electrode arrays for pharmacological assays.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Fast algorithms inspired by Physarum polycephalum for node weighted steiner tree problem with multiple terminals.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Accurate reconstruction of viral quasispecies spectra through improved estimation of strain richness.
BMC Bioinform., December, 2015

Inverse Dynamics of Multilink Cable-Driven Manipulators With the Consideration of Joint Interaction Forces and Moments.
IEEE Trans. Robotics, 2015

Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features.
IEEE J. Biomed. Health Informatics, 2015

Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content.
IEEE Trans. Evol. Comput., 2015

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges.
Inf. Sci., 2015

EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data.
Bioinform., 2015

ViQuaS: an improved reconstruction pipeline for viral quasispecies spectra generated by next-generation sequencing.
Bioinform., 2015

On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

The effects of an ankle foot orthosis on cerebral palsy gait: A multiple regression analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
Generalized Modeling of Multilink Cable-Driven Manipulators With Arbitrary Routing Using the Cable-Routing Matrix.
IEEE Trans. Robotics, 2013

Event Triggered Adaptive Differential Modulation: A New Method for Traffic Reduction in Networked Control Systems.
IEEE Trans. Autom. Control., 2013

Correction: CoNVEX: copy number variation estimation in exome sequencing data using HMM.
BMC Bioinform., 2013

CoNVEX: copy number variation estimation in exome sequencing data using HMM.
BMC Bioinform., 2013

2012
CONTRA: copy number analysis for targeted resequencing.
Bioinform., 2012

A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Fast shortest path optimization inspired by shuttle streaming of Physarum polycephalum.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Landscape characterization of numerical optimization problems using biased scattered data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Management of Orphaned-Nodes in Wireless Sensor Networks for Smart Irrigation Systems.
IEEE Trans. Signal Process., 2011

Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach.
Mach. Vis. Appl., 2011

2010
An Online Power-Balancing Strategy for a Parallel Hybrid Electric Vehicle Assisted by an Integrated Starter Generator.
IEEE Trans. Veh. Technol., 2010

Simplifying the Bacteria Foraging Optimization Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
The Rationale Behind Seeking Inspiration from Nature.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Dynamic Self-Organising Maps: Theory, Methods and Applications.
Proceedings of the Foundations of Computational Intelligence, 2009

Sensor Scheduling for Target Tracking by Suboptimal Algorithms.
IEEE Trans. Veh. Technol., 2009

Energy Efficient Sensor Scheduling with a Mobile Sink Node for the Target Tracking Application.
Sensors, 2009

Structure adaptation of hierarchical knowledge-based classifiers.
Neural Comput. Appl., 2009

Face Recognition by Extending Elastic Bunch Graph Matching with Particle Swarm Optimization.
J. Multim., 2009

Investigation of Average Mutual Information for Species Separation Using GSOM.
Proceedings of the Future Generation Information Technology, 2009

Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements.
Proceedings of the Distributed Computing in Sensor Systems, 2009

2008
Sensitivity-Based Hierarchical Controller Architectures for Active Suspension.
IEEE Trans. Control. Syst. Technol., 2008

Polynomial kernel adaptation and extensions to the SVM classifier learning.
Neural Comput. Appl., 2008

Class structure visualization with semi-supervised growing self-organizing maps.
Neurocomputing, 2008

Binning sequences using very sparse labels within a metagenome.
BMC Bioinform., 2008

Fast splice site detection using information content and feature reduction.
BMC Bioinform., 2008

Information Theoretic Classification of Problems for Metaheuristics.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Support Vector Machine Integrated CCA for Classification of Complex Chemical Patterns.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

2007
Gabor wavelet similarity maps for optimising hierarchical road sign classifiers.
Pattern Recognit. Lett., 2007

Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages.
BMC Bioinform., 2007

Correction: Splice site identification using probabilistic parameters and SVM classification.
BMC Bioinform., 2007

Combining News and Technical Indicators in Daily Stock Price Trends Prediction.
Proceedings of the Advances in Neural Networks, 2007

Driver Fatigue Detection by Fusing Multiple Cues.
Proceedings of the Advances in Neural Networks, 2007

Biological Sequence Data Preprocessing for Classification: A Case Study in Splice Site Identification.
Proceedings of the Advances in Neural Networks, 2007

Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks.
Proceedings of the Advances in Grid and Pervasive Computing, 2007

Improving Training Speed of Support Vector Machines by Creating Exploitable Trends of Lagrangian Variables: An Application to DNA Splice Site Detection.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

A Method for Evaluating Quality of Clustering DNA Fragments Encoded in Different Nucleotide Frequencies.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

2006
Optimal Weighting of Landmarks for Face Recognition.
J. Multim., 2006

Splice site identification using probabilistic parameters and SVM classification.
BMC Bioinform., 2006

Sensor Scheduling For Target Tracking Using Particle Swarm Optimization.
Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006

Scalable Dynamic Self-Organising Maps for Mining Massive Textual Data.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Manufacturing Yield Improvement by Clustering.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Semi-supervised Learning of Dynamic Self-Organising Maps.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Optimised Landmark Model Matching for Face Recognition.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Optimized Sink node Path using Particle Swarm Optimization.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005
Optimized rule-based delay proportion adjustment for proportional differentiated services.
IEEE J. Sel. Areas Commun., 2005

An Extended Growing Self-Organizing Map for Selection of Clusters in Sensor Networks.
Int. J. Distributed Sens. Networks, 2005

2004
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients.
IEEE Trans. Evol. Comput., 2004

Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy.
Soft Comput., 2004

Particle Swarm Optimisation for Protein Motif Discovery.
Genet. Program. Evolvable Mach., 2004

2003
Computationally advantageous and stable hierarchical fuzzy systems for active suspension.
IEEE Trans. Ind. Electron., 2003

Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation.
Int. J. Approx. Reason., 2003

Approximate symbolic pattern matching for protein sequence data.
Int. J. Approx. Reason., 2003

Realtime classification with structure adapting neuro-fuzzy systems.
Integr. Comput. Aided Eng., 2003

An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data.
Bioinform., 2003

Development of Hybrid Interface for Intelligent Sensor Management.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Optimisation of valve timing events of internal combustion engines with particle swarm optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Protein motif extraction with neuro-fuzzy optimization.
Bioinform., 2002

Rule based delay proportion adjustment for differentiated services.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Particle Swarm Optimization with Self-Adaptive Acceleration Coefficients.
Proceedings of the FSDK'02, 2002

A Modified Dynamic Self-Organizing Map Algorithm for Efficient Hardware Implementation.
Proceedings of the FSDK'02, 2002

Cost Effective selection of Sensor Node Clusters.
Proceedings of the FSDK'02, 2002

Automatically tuned hybrid motion controller in the presence of mechanical non-linearities.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002

2000
Dynamic self-organizing maps with controlled growth for knowledge discovery.
IEEE Trans. Neural Networks Learn. Syst., 2000

Model free online adaptive feedback control with FuNe I AFC neuro-fuzzy system.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
A self generating neural architecture for data analysis.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers.
IEEE Trans. Fuzzy Syst., 1998

A self-growing cluster development approach to data mining.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A Structure Adapting Feature Map for Optimal Cluster Representation.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Self-evolving neural networks for rule-based data processing.
IEEE Trans. Signal Process., 1997

Decision Support in Smart Wheelchairs.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Rule Extraction in Real Time.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
Advanced methods for fusion of fuzzy systems and neural networks in intelligent data processing.
PhD thesis, 1996

Computer-aided design of fuzzy systems based on generic VHDL specifications.
IEEE Trans. Fuzzy Syst., 1996

Multiple shape basis function networks for rule based analysis of data.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

1995
Fuzzy neural networks: between functional equivalence and applicability.
Int. J. Neural Syst., 1995

An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks.
Int. J. Approx. Reason., 1995

A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems.
Proceedings of the 1995 ACM symposium on applied computing, 1995

Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers.
Proceedings of the 1995 ACM symposium on applied computing, 1995

1994
Fuzzy neural fusion techniques for industrial applications.
Proceedings of the 1994 ACM Symposium on Applied Computing, 1994

Rapid-Prototyping von anwendungsspezifischen Fuzzy Controllern mit Field Programmable Gate Arrays.
Proceedings of the Fuzzy Logik, 1994

1993
A rule based prototype system for automatic classification in industrial quality control.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Echtzeit Fahrbahnzustandserkennung mit Fuzzy-Neuronalen Netzen.
Proceedings of the Fuzzy Logic, 1993


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