Projects per year
Personal profile
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
Biography
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.
Grants:
- 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
Awards:
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ICDM 2022 best paper runner-up award (top 0.2%)
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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):
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
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CSIRO Next Generation Graduates Program: Privacy-Preserving Machine Learning: Technology Development and Adoption
Yuan, X. (Primary Chief Investigator (PCI)), Liu, J. (Chief Investigator (CI)), Ge, Z. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Yang, R. (Chief Investigator (CI)), Yi, X. (Chief Investigator (CI)), Sakzad, A. (Associate Investigator (AI)), Fang, Y. (Associate Investigator (AI)), Cui, S. (Associate Investigator (AI)), Baiao Dowsley, R. (Associate Investigator (AI)), Du, X. (Associate Investigator (AI)), Salehi, M. (Associate Investigator (AI)), Han, F. (Associate Investigator (AI)), Wakefield, R. (Associate Investigator (AI)), Abuadbba, S. (Associate Investigator (AI)), Wu, T. (Associate Investigator (AI)) & Liu, X. (Associate Investigator (AI))
1/01/23 → 31/12/27
Project: Research
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AI for Clean Energy and Sustainability
Wang, H. (Primary Chief Investigator (PCI)), Jalili, M. (Chief Investigator (CI)), Strengers, Y. (Chief Investigator (CI)), Hill, D. (Chief Investigator (CI)), Razzaghi, R. (Chief Investigator (CI)), Goodwin, S. (Chief Investigator (CI)), Liebman, A. (Associate Investigator (AI)), Pink, S. (Associate Investigator (AI)), Le Bodic, P. (Associate Investigator (AI)), Salehi, M. (Associate Investigator (AI)), Wang, T. (Associate Investigator (AI)), Vered, M. (Associate Investigator (AI)), Rong, J. (Associate Investigator (AI)), George, Y. (Associate Investigator (AI)), Song, H. (Associate Investigator (AI)), Tafakori, L. (Associate Investigator (AI)), Sajjadi, S. (Associate Investigator (AI)), Pourkhanali, A. (Associate Investigator (AI)), Moradiamani, A. (Associate Investigator (AI)) & Kamoona, A. (Associate Investigator (AI))
1/01/23 → 31/12/27
Project: Research
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PhD top up scholarship: Deep learning for brain EEG data analysis
Mohammadi Foumani, N. (Primary Chief Investigator (PCI)) & Salehi, M. (Supervisor)
8/07/22 → 31/10/25
Project: Research
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Natural language: Natural language listening corpus with wearable EEG
Salehi, M. (Primary Chief Investigator (PCI)) & Haffari, R. (Chief Investigator (CI))
Emotiv Research Pty Ltd, Monash University – Internal Faculty Contribution
1/07/24 → 1/02/25
Project: Research
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Virtual Power Plant Optimisation Project - Stage 1
Liebman, A. (Primary Chief Investigator (PCI)), Stuckey, P. (Partner Investigator (PI)), de Nijs, F. (Partner Investigator (PI)), Salehi, M. (Project Manager) & Bergmeir, C. (Project Manager)
1/08/20 → 30/06/21
Project: Research
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CARLA: Self-supervised contrastive representation learning for time series anomaly detection
Darban, Z. Z., Webb, G. I., Pan, S., Aggarwal, C. C. & Salehi, M., Jan 2025, In: Pattern Recognition. 157, 13 p., 110874.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile16 Citations (Scopus) -
Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors
Ge, Y., Salehi, M., Vered, M. & Zukerman, I., 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023 Turin, Italy, September 18–22, 2023 Revised Selected Papers, Part IV. Meo, R. & Silvestri, F. (eds.). Cham Switzerland: Springer, p. 336-344 9 p. (Communications in Computer and Information Science; vol. 2136).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Deep Learning for Time Series Anomaly Detection: A Survey
Zamanzadeh Darban, Z., Webb, G. I., Pan, S., Aggarwal, C. C. & Salehi, M., 7 Oct 2024, In: ACM Computing Surveys. 57, 1, 42 p., 15.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile58 Citations (Scopus) -
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Foumani, N. M., Miller, L., Tan, C. W., Webb, G. I., Forestier, G. & Salehi, M., 25 Apr 2024, In: ACM Computing Surveys. 56, 9, 45 p., 217.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile60 Citations (Scopus) -
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
Mohammadi Foumani, N., Mackellar, G., Ghane, S., Irtza, S., Nguyen, N. & Salehi, M., 25 Aug 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Jiang, Z., Li, J. & Zhou, D. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 5544-5555 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile
Prizes
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Australian Microsoft Imagine Cup Final
Salehi, M. (Recipient), Chong, H. W. (Recipient), Lin, A. (Recipient) & Rajah, K. (Recipient), 2012
Prize: Prize (including medals and awards)
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ICDM-2022 Best Paper Runner-up Award winner
Manapragada, C. (Recipient), Salehi, M. (Recipient) & Webb, G. (Recipient), 2022
Prize: Prize (including medals and awards)
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SIGKDD Audience Appreciation Award
Salehi, Mahsa (Recipient), 2024
Prize: Prize (including medals and awards)
Activities
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ACM Transactions on Knowledge Discovery from Data (Journal)
Salehi, M. (Associate editor)
2023 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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IBM - International Business Machines Corporation (United States of America) (External organisation)
Baldauf, J. (Inventor), Jalali, F. (Inventor), Mashford, B. S. (Inventor) & Salehi, M. (Inventor)
16 Jun 2020Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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IBM - International Business Machines Corporation (United States of America) (External organisation)
Chen, S. A. (Inventor), Jalali, F. (Inventor), Salehi, M. (Inventor) & Vishwanath, A. (Inventor)
4 Aug 2020Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018
Mahsa Salehi (Member of programme committee)
2018Activity: Participating in or organising an event types › Contribution to conference
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IBM - International Business Machines Corporation (United States of America) (External organisation)
Baldauf, J. (Inventor), Ghahremanlou, L. (Inventor), Jalali, F. (Inventor) & Salehi, M. (Inventor)
1 Mar 2018Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent