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Shanika Karunasekera

Shanika Karunasekera

D-Index & Metrics

Computer Science

D-Index
33
Citations
5904
World Ranking
12513
National Ranking
376

Overview

Shanika Karunasekera is affiliated with the University of Melbourne in Australia. Their research focuses primarily on computer science and social sciences, with notable activity in subfields such as information systems, artificial intelligence, computer networks and communications, sociology and political science, and transportation.

The research topics covered in their publications include:

  • Misinformation and Its Impacts
  • Cloud Computing and Resource Management
  • Spam and Phishing Detection
  • IoT and Edge/Fog Computing
  • Complex Network Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Traffic control and management

Recent papers authored by or involving Shanika Karunasekera include:

  • "Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection," 2021, Information Processing & Management
  • "Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments," 2021, IEEE Transactions on Parallel and Distributed Systems
  • "A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions," 2022, ACM Computing Surveys
  • "Graph Neural Networks with Continual Learning for Fake News Detection from Social Media," 2020, arXiv (Cornell University)
  • "SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments," 2021, IEEE Transactions on Computers

Frequent co-authors collaborating with Shanika Karunasekera are:

  • Christopher Leckie
  • Rabindra Lamsal
  • Maria A. Rodriguez
  • Egemen Tanin
  • Amila Silva

The scholar's most common publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the 30th International Conference on Advances in Geographic Information Systems
  • Future Generation Computer Systems
  • ACM Computing Surveys
  • Journal Of Big Data

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

  • A survey of coordinated attacks and collaborative intrusion detection

    Chenfeng Vincent Zhou;Christopher Leckie;Shanika Karunasekera

  • A distortion measure for blocking artifacts in images based on human visual sensitivity

    S.A. Karunasekera;N.G. Kingsbury

  • 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

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

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

  • Automatic measurement of a QoS metric for Web service recommendation

    N. Thio;S. Karunasekera

  • Tour recommendation and trip planning using location-based social media: a survey

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

  • Performance and Cost-efficient Spark Job Scheduling based on Deep Reinforcement Learning in Cloud Computing Environments

    MT Islam;S Karunasekera;R Buyya

  • Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

    Amila Silva;Yi Han;Ling Luo;Shanika Karunasekera

  • Decentralized multi-dimensional alert correlation for collaborative intrusion detection

    Chenfeng Vincent Zhou;Christopher Leckie;Shanika Karunasekera

  • Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

    Amila Silva;Ling Luo;Shanika Karunasekera;Christopher Leckie

  • A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions.

    Anupama Mampage;Shanika Karunasekera;Rajkumar Buyya

  • Personalized Itinerary Recommendation with Queuing Time Awareness

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

  • A peer-to-peer collaborative intrusion detection system

    C.V. Zhou;S. Karunasekera;C. Leckie

  • Graph Neural Networks with Continual Learning for Fake News Detection from Social Media.

    Yi Han;Shanika Karunasekera;Christopher Leckie

  • Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection

    C.V. Zhou;S. Karunasekera;C. Leckie

  • Anomaly detection by clustering ellipsoids in wireless sensor networks

    Masud Moshtaghi;Sutharshan Rajasegarar;Christopher Leckie;Shanika Karunasekera

  • Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

    Zahra Ghafoori;Sarah M. Erfani;Sutharshan Rajasegarar;James C. Bezdek

  • Preparing Software Engineering Graduates for an Industry Career

    S. Karunasekera;K. Bedse

  • Decentralised Resource Discovery Service for Large Scale Federated Grids

    R. Ranjan;Lipo Chan;A. Harwood;S. Karunasekera

  • Cost-efficient dynamic scheduling of big data applications in apache spark on cloud

    Muhammed Tawfiqul Islam;Satish Narayana Srirama;Satish Narayana Srirama;Shanika Karunasekera;Rajkumar Buyya

  • SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator

    Kotagiri Ramamohanarao;Hairuo Xie;Lars Kulik;Shanika Karunasekera

  • Evolving Fuzzy Rules for Anomaly Detection in Data Streams

    Masud Moshtaghi;James C. Bezdek;Christopher Leckie;Shanika Karunasekera

Frequent Co-Authors

Christopher Leckie
Christopher Leckie University of Melbourne
Sutharshan Rajasegarar
Sutharshan Rajasegarar Deakin University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Leon Sterling
Leon Sterling Swinburne University of Technology
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
James C. Bezdek
James C. Bezdek University of Melbourne
Lars Kulik
Lars Kulik University of Melbourne
Rui Zhang
Rui Zhang National University of Singapore
Malin Premaratne
Malin Premaratne Monash University

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