Scholar

Sutharshan Rajasegarar

Google Scholar ID: C16XP2gAAAAJ

Associate Professor, School of Information Technology, Deakin University

Anomaly detectionMachine learningArtificial Intelligence (AI)Quantum Machine LearningIoT

Google Scholar↗

Citations & Impact

All-time

Citations

5,057

H-index

i10-index

Publications

Co-authors

list available

Publications

7 items

A Resource Estimation Model for the Hardware-Software Co-Design of Distributed Quantum Architectures

2026

Cited

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis

2026

Cited

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks

2026

Cited

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection

2026

Cited

Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing

2026

Cited

Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection

2025

Cited

Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey

2025

Cited

Co-authors

8 total

Christopher Leckie

Professor, Computing and Information Systems, The University of Melbourne

M. Palaniswami

Professor of Electrical Engineering, University of Melbourne, Australia

Shanika Karunasekera

Professor, School of Computing and Information Systems, University of Melbourne

Timothy C. Havens

Michigan Technological University

Jeffrey Chan

School of Computing Technologies, RMIT University

James M Keller

Professor of Electrical and Computer Engineering

Laurence A. F. Park

School of Computer, Data and Mathematical Sciences, Western Sydney University

James Bailey

Professor, School of Computing and Information Systems, University of Melbourne