Muru Raj Odiathevar
Thesis Title: Anomaly Detection in Dynamic and Distributed Scenarios
Supervisor: Prof Winston Seah, A/Prof Marcus Frean
Research InterestsMy current research is on anomaly detection in networked systems using various methods such as probabilistic machine learning, deep learning and statistical modelling. I am also researching on expanding existing methods for different scenarios such as in Edge AI. I also have a wider interest in AIOps, automation, engineering and technology. More details on LinkedIn: https://www.linkedin.com/in/muru-raj-76a231105/ Publications
Murugaraj Odiathevar, Winston KG Seah, and Marcus Frean. "A hybrid online offline system for network anomaly detection." 2019 28th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2019.
Murugaraj Odiathevar, Winston KG Seah, Marcus Frean and Alvin Valera. "An Online Offline Framework for Anomaly Scoring and Detecting New Traffic in Network Streams." IEEE Transactions on Knowledge & Data Engineering 01 (2021): 1-1.
- Murugaraj Odiathevar, Duncan Cameron, Winston KG Seah, Marcus Frean and Alvin Valera. "Humans learning from Machines: Data Science meets Network Management." 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE, 2021.
- Hybrid Machine Learning System and Method : AU 2019900788