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Tharam S. Dillon

Tharam S. Dillon

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
20186
World Ranking
1774
National Ranking
55

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 1998 - IEEE Fellow For leadership in the development of optimizations for power systems.

Overview

Tharam S. Dillon is a researcher affiliated with La Trobe University in Australia, with a focus primarily within the fields of Computer Science and Engineering. Their work spans various subfields including Industrial and Manufacturing Engineering, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, and Signal Processing.

The scientist's research covers several main topics, prominently including:

  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Industrial Vision Systems and Defect Detection
  • Digital Transformation in Industry
  • IoT and Edge/Fog Computing
  • Water Quality Monitoring and Analysis

Recent publications by Tharam S. Dillon include:

  • "Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps," 2020, published in IEEE Internet of Things Journal
  • "Provenance-based Intrusion Detection Systems: A Survey," 2022, published in ACM Computing Surveys
  • "Edge Computing-Assisted IoT Framework With an Autoencoder for Fault Detection in Manufacturing Predictive Maintenance," 2022, published in IEEE Transactions on Industrial Informatics
  • "An Integrated Framework for Health State Monitoring in a Smart Factory Employing IoT and Big Data Techniques," 2021, published in IEEE Internet of Things Journal
  • "Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring," 2021, published in IEEE Transactions on Industrial Informatics

The venues where Tharam S. Dillon frequently publishes reflect their research focus and include:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics
  • arXiv (Cornell University)
  • ACM Computing Surveys
  • npj Digital Medicine

Frequent collaborators in their research career include:

  • Yuehua Liu
  • Wenjin Yu
  • Wenny Rahayu
  • Elizabeth Chang
  • Fahed Mostafa

The researcher was recognized as an IEEE Fellow in 1998 for leadership in the development of optimizations for power systems.

Best Publications

  • Cloud Computing: Issues and Challenges

    Tharam Dillon;Chen Wu;Elizabeth Chang

  • Electricity price short-term forecasting using artificial neural networks

    B.R. Szkuta;L.A. Sanabria;T.S. Dillon

  • Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination

    T. S. Dillon;K. W. Edwin;H.-D. Kochs;R. J. Taud

  • Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

    Kit Yan Chan;T. S. Dillon;J. Singh;E. Chang

  • The New Frontier of Smart Grids

    Xinghuo Yu;C. Cecati;T. Dillon;M. G. Simões

  • Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence

    Elizabeth Chang;Farookh Hussain;Tharam Dillon

  • Conceptual SLA framework for cloud computing

    Mohammed Alhamad;Tharam Dillon;Elizabeth Chang

  • Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach

    Hao-Fan Yang;Tharam S. Dillon;Yi-Ping Phoebe Chen

  • SLA-Based Trust Model for Cloud Computing

    Mohammed Alhamad;Tharam Dillon;Elizabeth Chang

  • Operation properties and δ-equalities of complex fuzzy sets

    Guangquan Zhang;Tharam Singh Dillon;Kai-Yuan Cai;Jun Ma

  • Experimental study of a new hybrid PSO with mutation for economic dispatch with non-smooth cost function

    Haiyan Lu;Pichet Sriyanyong;Yong Hua Song;Tharam Dillon

  • A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance

    Wenjin Yu;Tharam Dillon;Fahed Mostafa;Wenny Rahayu

  • Fuzzy trust evaluation and credibility development in multi-agent systems

    Stefan Schmidt;Robert Steele;Tharam S. Dillon;Elizabeth Chang

  • Automated Knowledge Acquisition

    Sabrino Sestito;Tharam S. Dillon

  • On the Move to Meaningful Internet Systems: Otm 2010

    Robert Meersman;Tharam Dillon;Pilar Herrero

  • Introduction to Multi-Agent Systems

    Maja Hadzic;Pornpit Wongthongtham;Tharam Dillon;Elizabeth Chang

  • Soft computing in case based reasoning

    Sankar K. Pal;Tharam S. Dillon;Daniel S. Yeung

  • The pudding of trust [intelligent systems]

    B. Bhargava;L. Lilien;A. Rosenthal;M. Winslett

  • Exponential stability and oscillation of Hopfield graded response neural network

    Hua Yang;T.S. Dillon

  • Engineering Intelligent Hybrid Multi-Agent Systems

    Rajiv Khosla;Tharam Dillon

Frequent Co-Authors

Elizabeth Chang
Elizabeth Chang Griffith University
Farookh Khadeer Hussain
Farookh Khadeer Hussain University of Technology Sydney
Omar Khadeer Hussain
Omar Khadeer Hussain University of New South Wales
Kit Yan Chan
Kit Yan Chan Curtin University
Wenny Rahayu
Wenny Rahayu La Trobe University
Robert Meersman
Robert Meersman Graz University of Technology
Dianhui Wang
Dianhui Wang La Trobe University
Jie Lu
Jie Lu University of Technology Sydney
Guangquan Zhang
Guangquan Zhang University of Technology Sydney
Hervé Panetto
Hervé Panetto University of Lorraine

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