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Saman K. Halgamuge

Saman K. Halgamuge

D-Index & Metrics

Computer Science

D-Index
48
Citations
13169
World Ranking
6059
National Ranking
186

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to computational intelligence in bioinformatics and mechatronics

Overview

Saman K. Halgamuge is affiliated with the University of Melbourne in Australia. Their research spans multiple fields within computer science and engineering, with a particular focus on energy systems, intelligent computing, and resource management.

Their recurrent research topics include:

  • Energy Load and Power Forecasting
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • Electric Vehicles and Infrastructure
  • Smart Grid Energy Management
  • Solar Radiation and Photovoltaics

Halgamuge has published extensively in both main fields of study, including:

  • Computer Science
  • Engineering

Subfields of work include:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Molecular Biology

Frequent venues of publication are:

  • arXiv (Cornell University)
  • Applied Energy
  • Journal of Mechanical Design
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers authored by Halgamuge include:

  • Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction, 2020, IEEE Transactions on Fuzzy Systems
  • Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge-cloud computing environments, 2022, Future Generation Computer Systems
  • Coordinated Charge and Discharge Scheduling of Electric Vehicles for Load Curve Shaping, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Coordinated charging and discharging control of electric vehicles to manage supply voltages in distribution networks: Assessing the customer benefit, 2021, Applied Energy
  • Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers, 2024, IEEE Transactions on Parallel and Distributed Systems

Halgamuge has frequently collaborated with several researchers throughout their career, including:

  • Damith Senanayake
  • Tamasha Malepathirana
  • Sachith Seneviratne
  • Maneesha Perera
  • Julian de Hoog

In 2017, they were recognized as an IEEE Fellow for contributions to computational intelligence in bioinformatics and mechatronics.

Best Publications

  • Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients

    A. Ratnaweera;S.K. Halgamuge;H.C. Watson

  • Dynamic self-organizing maps with controlled growth for knowledge discovery

    D. Alahakoon;S.K. Halgamuge;B. Srinivasan

  • CONTRA: copy number analysis for targeted resequencing

    Jason Li;Richard Lupat;Kaushalya C. Amarasinghe;Ella R. Thompson

  • Neural networks in designing fuzzy systems for real world applications

    S. K. Halgamuge;M. Glesner

  • Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features

    Ferdous Wahid;Rezaul K. Begg;Chris J. Hass;Saman Halgamuge

  • Algorithm selection for black-box continuous optimization problems

    Mario A. Muñoz;Yuan Sun;Michael Kirley;Saman K. Halgamuge

  • A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

    Nanduni I. Nimalsiri;Chathurika P. Mediwaththe;Elizabeth L. Ratnam;Marnie Shaw

  • Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

    Bin Cao;Jianwei Zhao;Zhihan Lv;Yu Gu

  • A Recursive Decomposition Method for Large Scale Continuous Optimization

    Yuan Sun;Michael Kirley;Saman K. Halgamuge

  • Fuel economy improvements for urban driving : Hybrid vs. intelligent vehicles

    Chris Manzie;Harry Watson;Saman Halgamuge

  • Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation

    Khalid Abdulla;Julian de Hoog;Valentin Muenzel;Frank Suits

  • Combining News and Technical Indicators in Daily Stock Price Trends Prediction

    Yuzheng Zhai;Arthur Hsu;Saman K Halgamuge

  • Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content

    Mario A. Munoz;Michael Kirley;Saman K. Halgamuge

  • A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems

    G. Coath;S.K. Halgamuge

  • Reducing the Number of Training Samples for Fast Support Vector Machine Classification

    Ravindra Koggalage;Saman Halgamuge

  • Splice site identification using probabilistic parameters and SVM classification

    A. K. M. A. Baten;Bill C. H. Chang;Saman K. Halgamuge;Jason Li

  • Potential of air-side economizers for data center cooling: A case study for key Australian cities

    Jayantha Siriwardana;Jayantha Siriwardana;Saliya Jayasekara;Saman K. Halgamuge

  • Particle Swarm Optimisers for Cluster formation in Wireless Sensor Networks

    S.M. Guru;S.K. Halgamuge;S. Fernando

  • Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions

    Yuan Sun;Michael Kirley;Saman Kumara Halgamuge

  • An Incentive-Compatible Energy Trading Framework for Neighborhood Area Networks With Shared Energy Storage

    Chathurika P. Mediwaththe;Marnie Shaw;Saman Halgamuge;David B. Smith

  • Binning sequences using very sparse labels within a metagenome

    Chon-Kit Kenneth Chan;Arthur L Hsu;Saman K Halgamuge;Sen-Lin Tang

Frequent Co-Authors

Bala Srinivasan
Bala Srinivasan Monash University
Steven Petrou
Steven Petrou Florey Institute of Neuroscience and Mental Health
Malin Premaratne
Malin Premaratne Monash University
Ute Roessner
Ute Roessner University of Melbourne
Karin Verspoor
Karin Verspoor RMIT University
Anthony T. Papenfuss
Anthony T. Papenfuss Walter and Eliza Hall Institute of Medical Research
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg
Chris Manzie
Chris Manzie University of Melbourne
Iven Mareels
Iven Mareels IBM (United States)
Clarence W. de Silva
Clarence W. de Silva University of British Columbia

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