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
- Online learning
- Learning from non-stationary distributions
- Deep learning
- Anomaly detection with applications in cybersecurity
Biography
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
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
- 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
- Outlier Detection
- Spatio-Temporal Data Analysis
Network
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CSIRO Data61 Next Generation Graduates Programs: Privacy-Preserving Machine Learning: Technology Development and Adoption
Yuan, X., Liu, J., Ge, Z., Haffari, R., Yang, R., Yi, X., Sakzad, A., Fang, Y., Cui, S., Baiao Dowsley, R., Du, X., Salehi, M., Han, F., Wakefield, R., Abuadbba, S., Wu, T. & Liu, X.
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. & Salehi, M.
8/07/22 → 31/10/25
Project: Research
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Virtual Power Plant Optimisation Project - Stage 1
Liebman, A., Stuckey, P., de Nijs, F., Salehi, M. & Bergmeir, C.
1/08/20 → 30/06/21
Project: Research
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Advisian Digital, Proof of Concept for Application of Advanced Short Term Power Generation Forecasting Technology for Wind and Solar Farms
Nitchov, T., Marshment, D., Bergmeir, C., Brown, S., Danka, G., Vahid-Araghi, F., Miller, B., Hyndman, R., Ben Taieb, S., Salehi, M. & Khalilpour, K.
28/05/19 → 6/01/21
Project: Research
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Yonder: Industry workforce Risk & Activity Planner System
Salehi, M., Haffari, R. & Webb, G.
2/01/19 → 30/03/19
Project: Research
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A fully unsupervised and efficient anomaly detection approach with drift detection capability
Tan, C. H., Lee, V. C., Salehi, M., Marusic, S., Jayawardena, S. & Lucke, D., 2022, Proceedings - 21st IEEE International Conference on Data Mining Workshops, ICDMW 2021. Xue, B., Pechenizkiy, M. & Koh, Y. S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 312-321 10 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2021-December).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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An eager splitting strategy for online decision trees in ensembles
Manapragada, C., Gomes, H. M., Salehi, M., Bifet, A. & Webb, G. I., Mar 2022, In: Data Mining and Knowledge Discovery. 36, p. 566–619 54 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection
Wang, Q., Salehi, M., Low, J. S., Buntine, W. & Leckie, C., 2022, 26th Pacific-Asia Conference, PAKDD 2022 Chengdu, China, May 16–19, 2022 Proceedings, Part II. Gama, J., Li, T., Yu, Y., Chen, E., Zheng, Y. & Teng, F. (eds.). Cham Switzerland: Springer, p. 17-29 13 p. (Lecture Notes in Computer Science; vol. 13281).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Extremely Fast Hoeffding Adaptive Tree
Manapragada, C., Salehi, M. & Webb, G. I., 2022, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 319-328 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2022-November).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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False data injection attack detection for secure distributed demand response in smart grids
Dayaratne, T., Salehi, M., Rudolph, C. & Liebman, A., 2022, Proceedings - 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2022. Mokhtar, S. & Liu, P. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 367-380 14 p. (Proceedings - 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus)
Prizes
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Australian Microsoft Imagine Cup Final
Salehi, Mahsa (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, Mahsa (Recipient) & Webb, Geoff (Recipient), 2022
Prize: Prize (including medals and awards)
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IBM - International Business Machines Corporation (United States) (External organisation)
Julia Baldauf (Inventor), Fatemeh Jalali (Inventor), Benjamin Scott Mashford (Inventor) & Mahsa Salehi (Inventor)
16 Jun 2020Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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IBM - International Business Machines Corporation (United States) (External organisation)
Sue Ann Chen (Inventor), Fatemeh Jalali (Inventor), Mahsa Salehi (Inventor) & Arun Vishwanath (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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SIAM International Conference on 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) (External organisation)
Julia Baldauf (Inventor), Lida Ghahremanlou (Inventor), Fatemeh Jalali (Inventor) & Mahsa Salehi (Inventor)
1 Mar 2018Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent