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Research interests

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

  • Multi-dimensional time series analysis
  • Anomaly detection
  • Time series classification
  • Learning from non-stationary distributions
  • Brain-inspired machine learning


Mahsa is a Senior Lecturer in the Department of Data Science and AI, 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. 


  • 2022-2024, Emotiv Research, AU$30K
  • 2021, Monash Data Futures, AU$49K
  • 2019-2021, ARENA Grant, AU$246K
  • 2018, Sector Growth - Future Industries Grant, AU$25K
  • 2018, FIT Industry Seed Grant, AU$60K (including $30K from Emotiv Research)
  • 2018, FIT Multidisciplinary Seed Grant, AU$24K
  • 2018, Advancing Women’s Research Success Grant, AU$11K
  • 2012-2014 Microsoft, Microsoft Imagine Cup Grant, US$75K


  • ICDM 2022 best paper runner-up award (top 0.2%)

  • 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), 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


Monash teaching commitment

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

  • FIT1043 Introduction to Data Science 
  • FIT2082 Computer Science Project
  • FIT5145 Introduction to Data Sicnece

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Computer Science, Doctor of Philosophy, University of Melbourne

Award Date: 3 Aug 2016

Software Engineering, Master of Science, Amirkabir University of Technology

Award Date: 31 Aug 2009

Information Technology, Bachelor of Science, Amirkabir University of Technology

Award Date: 31 Aug 2008

Computer Engineering, Bachelor of Science, Amirkabir University of Technology

Award Date: 31 Aug 2006

Research area keywords

  • Time Series Analysis
  • Machine Learning
  • Anomaly Detection
  • Deep Learning
  • Multidimensional/non-linear learning
  • Spatio-Temporal Data Analysis

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or