Pattern recognition in streaming data (Anomaly detection, clustering, Internet of Things, Ambient Intellligence, Cybersecurity)
Masud Moshtaghi received his B.Sc. and M.Sc in software engineering (Tehran University) and a Ph.D in computer science (The University of Melbourne). His main area of research is in developing new machine learning techniques to solve emerging challenges in different domains including network security, environmental monitoring and aged care.
2015 - Australian Research Council Discovery Early Career Researcher Award (ARC DECRA) (total funding $330K over 3 years), “Towards transforming data streams into real-time knowledge” 2014 - Co-investigator of the US Airforce Grant AOARD134132 (total funding $225K over 3 years), “A decision-theoretic model of interactions between people and devices” with Prof I. Zukerman, A/Prof R.A. Russell, Dr G. Rees and Ms M. Larizza.