Mahsa Salehi  Mahsa Salehi photo       

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Postdoctoral Researcher
Melbourne Research Laboratory, Melbourne, Australia

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Professional Associations:  ACM  |  IEEE   |  IEEE Women in Engineering

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I joined IBM Melbourne Research Laboratory in 2015 working on developing novel algorithms for Spatio-Temporal Big Data Analysis and I have published a number of papers in top data mining conferences. I finished my PhD in computer science in the department of Computing and Information Systems, the University of Melbourne (2012-2015). My PhD topic was addressing the challenges of anomaly detection in data streams. During my PhD, I was also a member of Machine Learning research group in NICTA Victoria Research Laboratory, Australia. I received my BSc double degrees in Software Engineering and Information Technology in 2006 and 2008, and a Master’s degree in Software Engineering in 2009 all from Amirkabir University of Technology (Tehran Polytechnique), Iran.

I spent 8 months as a part-time Research Scientist at Emotiv Research, Australia working on a driver distraction detection project using EEG signals of human brain. In 2016, I was selected as the "Top 200 Most Quali ed Young Researchers in Computer Science and Mathematics" by the Scienti c Committee of the Heidelberg Laureate Forum Foundation (HLFF). I am also the winner of the "Australian  2012  Microsoft  Imagine  Cup" Final in 2012 and won the "Excellence in Teaching" award from the CIS department and the “Sessional Staff Award for Teaching Excellence” from Melbourne School of Engineering, University of Melbourne in 2014. My research interests include machine learning, spatio-tempral data mining, data stream analytics, anomaly (outlier) detection, and unsupervised learning.