Chathurika S. Wickramasinghe

Orcid: 0000-0002-3333-5101

According to our database1, Chathurika S. Wickramasinghe authored at least 24 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data.
IEEE Trans. Intell. Transp. Syst., December, 2023

Editorial: Explainable artificial intelligence.
Frontiers Comput. Sci., 2023

Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Anomaly Detection for In-Vehicle Communication Using Transformers.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers.
CoRR, 2022

Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey.
Proceedings of the IECON 2022, 2022

2021
ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation.
IEEE Access, 2021

Explainable Unsupervised Machine Learning for Cyber-Physical Systems.
IEEE Access, 2021

Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring.
IEEE Access, 2021

The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study.
IEEE Access, 2021

Deep Embedded Clustering with ResNets.
Proceedings of the 14th International Conference on Human System Interaction, 2021

2020
Trustworthy AI Development Guidelines for Human System Interaction.
Proceedings of the 13th International Conference on Human System Interaction, 2020

AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation.
Proceedings of the 13th International Conference on Human System Interaction, 2020

2019
Deep Self-Organizing Maps for Unsupervised Image Classification.
IEEE Trans. Ind. Informatics, 2019

Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions.
Proceedings of the IECON 2019, 2019

Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data.
Proceedings of the 12th International Conference on Human System Interaction, 2019

Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets.
Proceedings of the 12th International Conference on Human System Interaction, 2019

Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG.
Proceedings of the 12th International Conference on Human System Interaction, 2019

2018
Generalization of Deep Learning for Cyber-Physical System Security: A Survey.
Proceedings of the IECON 2018, 2018

An Adversarial Approach for Explainable AI in Intrusion Detection Systems.
Proceedings of the IECON 2018, 2018

Deep Self-Organizing Maps for Visual Data Mining.
Proceedings of the 11th International Conference on Human System Interaction, 2018

2017
Parallalizable deep self-organizing maps for image classification.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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