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
Research area keywords
- Time Series Analysis
- Machine Learning
- Anomaly Detection
- Deep Learning
- Multidimensional/non-linear learning
- Outlier Detection
- Spatio-Temporal Data Analysis
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2021
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
Yonder: Industry workforce Risk & Activity Planner System
Salehi, M., Haffari, R. & Webb, G.
2/01/19 → 30/03/19
Project: Research
Temporal Outlier Detection in Massively Multi-Dimensional EEG of Human Brain for Distraction Detection
1/02/18 → 31/01/19
Project: Research
Research Output 2008 2018
A survey on anomaly detection in evolving data [with application to forest fire risk prediction]
Salehi, M. & Rashidi, L., Jun 2018, In : SIGKDD Explorations. 20, 1, p. 13-23 11 p.Research output: Contribution to journal › Article › Research
Density biased sampling with locality sensitive hashing for outlier detection
Zhang, X., Salehi, M., Leckie, C., Luo, Y., He, Q., Zhou, R. & Kotagiri, R., 2018, Web Information Systems Engineering – WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12–15, 2018 Proceedings, Part II . Hacid, H., Cellary, W., Wang, H., Paik, H-Y. & Zhou, R. (eds.). Cham Switzerland: Springer, p. 269-284 16 p. (Lecture Notes in Computer Science ; vol. 11234 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Extremely fast decision tree
Manapragada, C., Webb, G. I. & Salehi, M., 2018, KDD' 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 19-23, 2018, London, United Kingdom . Lin, C-J. & Xiong, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1953-1962 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Online clustering for evolving data streams with online anomaly detection
Chenaghlou, M., Moshtaghi, M., Leckie, C. & Salehi, M., 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 - Proceedings, Part II. Phung, D., Webb, G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham Switzerland: Springer, p. 508-521 14 p. (Lecture Notes in Artificial Intelligence; vol. 10938).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
A large-scale spatio-temporal data analytics system for wildfire risk management
Wang, Z., Vo, H. T., Salehi, M., Rusu, L. I., Reeves, C. & Phan, A., 2017, GeoRich - Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data: In Conjunction with SIGMOD 2017, May 14th 2017. Bouros, P. & Sarwat, M. (eds.). New York NY USA : Association for Computing Machinery (ACM), p. 19-24 6 p. 4Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Prizes
Australian Microsoft Imagine Cup Final
Mahsa Salehi (Recipient), Hon Weng Chong (Recipient), Andrew Lin (Recipient) & Karthik Rajah (Recipient), 2012
Prize: Prize (including medals and awards)
Activities 2015 2018
SIAM International Conference on Data Mining 2018
Mahsa Salehi (Member of programme committee)Activity: Participating in or organising an event types › Contribution to conference
Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018
Mahsa Salehi (Member of programme committee)Activity: Participating in or organising an event types › Contribution to conference
Pattern Recognition (Journal)
Mahsa Salehi (Peer reviewer)Activity: Publication peer-review and editorial work types › Peer review responsibility
SIAM International Conference on Data Mining 2017
Mahsa Salehi (Member of programme committee)Activity: Participating in or organising an event types › Contribution to conference
Knowledge and Information Systems (Journal)
Mahsa Salehi (Peer reviewer)Activity: Publication peer-review and editorial work types › Peer review responsibility