Sevvandi did her PhD in Geometric Analysis, which is a branch of Pure Mathematics at Monash in 2011. After a stint of teaching in Singapore, she got interested in statistical analysis and pursued a Graduate Certificate in Data Mining and Applications from Stanford. While in Singapore, she collaborated with Prof. Kate Smith-Miles and Dr. Shannon Ryan of the DST Group, on a research project which was on the regular bombardment of space debris on space vehicles. After returning to Melbourne, she started working on an industry project under the direction of Prof. Smith-Miles, which has applications related to defence. She is currently working with Prof. Rob Hyndman on anomaly detection and related research areas. As an inter-disciplinary researcher, she also likes to apply her knowledge to real world problems.
Time Series Analysis
PhD in Mathematics
Graduate Certificate in Data Mining and Applications
Anomalies can be the main carriers of significant and often critical information, and the identification of anomalies is a key task in many fields such as cyber security, intrusion detection, water quality monitoring, system health monitoring, environmental monitoring. ACEMS researchers, led by Priyanga Dilini Talagala, have proposed a framework that provides early detection of anomalous series within a large collection of streaming time-series data.
There are about 50,000 bushfires every year in Australia, according to a 2009 report by the Australian Institute of Criminology.
For many Australians, this number is probably not that surprising. What is more surprising, though, is that mathematicians may have a key role to play in fighting these fires.
One of these fire-fighting mathematicians is Dr Sevvandi Kandanaarachchi – a postdoctoral fellow and Associate Investigator at ACEMS. She works closely with Professor Kate Smith- Miles, one of ACEMS’ Chief Investigators.
Invited talks, refereed proceedings and other conference outputs