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Sevvandi Kandanaarachchi

Senior Research Scientist

CSIRO's Data61

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Research themes

Anomalies and Algorithms

New algorithms for anomaly detection

Cyber Security

Detecting intrusions in computer networks

Sensor data

Are the sensors telling us something different?

Publications

Comparison of new computational methods for spatial modelling of malaria

Malaria Journal, 2023.
PDF

Comparison of tiling artifact removal methods in secondary ion mass spectrometry images

Analytical Chemistry, 2023.
PDF

The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft

International Journal of Impact Engineering, 2023.
PDF

Singularities of axially symmetric volume preserving mean curvature flow

Communications in Analysis and Geometry, 2023.
PDF

Comprehensive algorithm portfolio evaluation using Item Response Theory

Journal of Machine Learning Research, 2023.
PDF
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Preprints

Forecasting the structure of dynamic graphs
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund
Detecting inner-LAN anomalies using hierarchical forecasting
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao
Anomaly detection in dynamic networks
Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J Hyndman
Outliers in Compositional Time Series Data
Sevvandi Kandanaarachchi, Patricia Menendez, Ruben Loaiza-Maya, Ursula Laa
Event detection in spatio-temporal data using a Bayesian segmented ARMA change-point model
Farhana Sadia, Sevvandi Kandanaarachchi, Kate Smith-Miles, Jonathan Keith
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Recent & Upcoming Talks

Algorithm Evaluation using Item Response Theory - GECCO 2024 Tutorial

Jul 15, 2024 1:00 PM GECCO 2024, MCEC, Melbourne
Slides Video

Predicting Dynamic Networks

Jul 11, 2024 1:00 PM OPTIMA-CON 2024, MCEC, Melbourne
Slides

The painful removal of tiling artefacts in hyperspectral data

Dec 15, 2023 9:00 AM Deakin Downtown, Melbourne, Australia
Slides

Explainable insights on algorithm performance

Dec 7, 2023 9:00 AM Adelaide, Australia
Slides

The painful removal of tiling artefacts in ToF-SIMS data

Nov 21, 2023 9:00 AM Clayton, Australia
Slides
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Software

netseer

Predicting the structure of dynamic graphs - an R package.

stxplore

Tools for spatio-temporal data exploration - an R package.

oddnet

Network anomaly detection - an R package.

outlierensembles

A collection of ensembles for outlier detection - an R package.

lookout

Leave-one-out kernel density estimates for outlier detection - an R package.

composits

Outliers in univariate, multivariate and compositional time series - an R package.

airt

Algorithmic IRT - an R package.

eventstream

Event detection and early classification for streaming data - an R package.

dobin

Dimension reduction for outlier detection - an R package.

Blog posts

Anomaly Detection Ensembles

What is an anomaly detection ensemble? It is a bunch of anomaly detection methods put together to get a final anomaly score/prediction. …
Last updated on Oct 22, 2022 10 min read

Testing an Outlier Detection Method

Suppose you have developed an outlier detection method. What are the ways to test it? You can generate some random data and add a …
Last updated on Feb 6, 2021 4 min read

Anomaly detection data repositories

In this post we will look at data repositories available for anomaly detection. So, can you use a standard classification dataset for …
Last updated on Jan 23, 2021 2 min read

Which nonlinear dimension reduction methods preserve outliers inside a sphere?

In this post we will look at how well nonlinear dimension reduction techniques preserve outliers that are placed inside a sphere, when …
Last updated on Aug 30, 2020 3 min read

Anomaly detection dilemmas

Finding anomalies/outliers in data is a task that is increasingly getting more attention mainly due to the variety of applications …
Last updated on Jul 19, 2020 3 min read
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Podcasts

Forecasting Impact podcasts

In 2023 I conducted a couple of episodes for the Forecasting Impact podcast with with Mahdi Abolghasemi. Prof George Athanasopoulos on …
Last updated on Jan 6, 2024

Random Sample podcasts in 2023

Industry PhDs I did two more podcasts in 2023 for the Random Sample. One podcast was on industry PhDs. Industry PhDs give a lot more …
Last updated on Jan 6, 2024
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