Mahsa Salehi

Mahsa's current research interests are in Data mining and Machine learning, specifically:

• Multi-dimensional time series analysis
• Online learning
• Learning from non-stationary distributions
• Deep learning
• Anomaly detection with applications in cybersecurity

Mahsa is a Lecturer in Machine Learning, Faculty of Information Technology, Monash University. She was a postdoctoral researcher at IBM Research Australia before joining Monash. She received her PhD in Computer Science from the Department of Computing and Information Systems at the University of Melbourne in collaboration with the Machine Learning research group in NICTA. 

Grants:

• 2019-2021, ARENA Grant, AU$220,000
• 2018, Sector Growth - Future Industries Grant, AU$50,000
• 2018, FIT Industry Seed Grant, AU$60,000 (including $30,000 from Emotiv Research)
• 2018, FIT Multidisciplinary Seed Grant, AU$24,000
• 2018, Advancing Women’s Research Success Grant, AU$11,000
• 2012-2014 Microsoft, Microsoft Imagine Cup Grant, US$75,000

Awards:

• Selected amongst the “Top 200 Most Qualified Young Researchers in Computer Science and Mathematics” by the Scientific Committee of the Heidelberg Laureate Forum Foundation (HLFF) to participate in the 4th Heidelberg Laureate Forum, 2016
• IBM Manager’s Choice Award, IBM Research Australia, 2016
• Winner of Australian 2012 Microsoft Imagine Cup Final (our team placed the 1st in Australia and among the top 20 in the World), 2012
• Melbourne School of Engineering (MSE) Teaching Excellence Award, University of Melbourne, 2014
• Excellence in Tutoring Award in the Department of Computing and Information Systems, University of Melbourne, 2014
• Emotiv Founders Scholarship, Emotiv Research, 2014

Mahsa has experience as the Chief Examiner and Lecturer for the following units in the Faculty of IT:

• FIT1043 Introduction to Data Science 
• FIT5145 Introduction to Data Sicnece