World's Best Scientists 2026 revealed!
Christopher Leckie

Christopher Leckie

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
15522
World Ranking
3219
National Ranking
88

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

Overview

Christopher Leckie is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their research portfolio includes notable work in several subfields such as Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, and Information Systems.

Leckie's scholarly output encompasses a range of topics, including:

  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Network Security and Intrusion Detection
  • Misinformation and Its Impacts
  • Complex Network Analysis Techniques
  • Advanced Malware Detection Techniques
  • Spam and Phishing Detection

Their recent publications demonstrate a focus on the applications of machine learning and network analysis to real-world problems, including fake news detection and quantum-enhanced adversarial robustness. Notable recent papers include:

  • "Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection," 2021, Information Processing & Management
  • "Graph Neural Networks with Continual Learning for Fake News Detection from Social Media," 2020, arXiv (Cornell University)
  • "Towards quantum enhanced adversarial robustness in machine learning," 2023, Nature Machine Intelligence
  • "Electrical Model-Free Voltage Calculations Using Neural Networks and Smart Meter Data," 2022, IEEE Transactions on Smart Grid
  • "Benchmarking adversarially robust quantum machine learning at scale," 2023, Physical Review Research

Leckie has collaborated frequently with several co-authors, including Sarah Erfani, Shanika Karunasekera, Tansu Alpcan, Hadi M. Dolatabadi, and Jeffrey Chan. These collaborations indicate active engagement within a network of researchers focused on machine learning, network security, and related areas.

Their research contributions have been published repeatedly in key venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Information Forensics and Security
  • Lecture Notes in Computer Science
  • IEEE Access

Christopher Leckie's work involves various interdisciplinary methods and advanced computational techniques to address challenges in cybersecurity, misinformation, and machine learning robustness. Overall, their research profile reflects a focus on combining theoretical and applied aspects of artificial intelligence and network analysis.

Best Publications

  • High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

    Sarah M. Erfani;Sutharshan Rajasegarar;Shanika Karunasekera;Christopher Leckie

  • Survey of network-based defense mechanisms countering the DoS and DDoS problems

    Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao

  • Fuzzy c-Means Algorithms for Very Large Data

    T. C. Havens;J. C. Bezdek;C. Leckie;L. O. Hall

  • A survey of coordinated attacks and collaborative intrusion detection

    Chenfeng Vincent Zhou;Christopher Leckie;Shanika Karunasekera

  • Unsupervised anomaly detection in network intrusion detection using clusters

    K Leung;C Leckie

  • Protection from distributed denial of service attacks using history-based IP filtering

    Tao Peng;C. Leckie;K. Ramamohanarao

  • Anomaly detection in wireless sensor networks

    S. Rajasegarar;C. Leckie;M. Palaniswami

  • Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • Intrusion Detection for Routing Attacks in Sensor Networks

    Chong Eik Loo;Mun Yong Ng;Christopher Leckie;Marimuthu Palaniswami

  • Parking availability prediction for sensor-enabled car parks in smart cities

    Yanxu Zheng;Sutharshan Rajasegarar;Christopher Leckie

  • Proactively detecting distributed denial of service attacks using source IP address monitoring

    Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao

  • Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing

    Yi Han;Jeffrey Chan;Tansu Alpcan;Christopher Leckie

  • Characterising the Evolution in Scanning Activity of Suspicious Hosts

    Alif Wahid;Christopher Leckie;Chenfeng Zhou

  • Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency

    Kwan Hui Lim;Kwan Hui Lim;Jeffrey Chan;Jeffrey Chan;Christopher Leckie;Shanika Karunasekera

  • Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks

    S Rajasegarar;C Leckie;J C Bezdek;M Palaniswami

  • Fast Memory Efficient Local Outlier Detection in Data Streams

    Mahsa Salehi;Christopher Leckie;James C. Bezdek;Tharshan Vaithianathan

  • Adjusted Probabilistic Packet Marking for IP Traceback

    Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao

  • Personalized tour recommendation based on user interests and points of interest visit durations

    Kwan Hui Lim;Jeffrey Chan;Christopher Leckie;Shanika Karunasekera

  • Labelled data collection for anomaly detection in wireless sensor networks

    Shan Suthaharan;Mohammed Alzahrani;Sutharshan Rajasegarar;Christopher Leckie

Frequent Co-Authors

Sutharshan Rajasegarar
Sutharshan Rajasegarar Deakin University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
James Bailey
James Bailey University of Melbourne
James C. Bezdek
James C. Bezdek University of Melbourne
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Shanika Karunasekera
Shanika Karunasekera University of Melbourne
Tansu Alpcan
Tansu Alpcan University of Melbourne
Rodney S. Tucker
Rodney S. Tucker University of Melbourne
Wei Liu
Wei Liu University of Technology Sydney
Ampalavanapillai Nirmalathas
Ampalavanapillai Nirmalathas University of Melbourne

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