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Personal profile

Biography

Mahsa Salehi is a Lecturer in Machine Learning the Faculty of Information Technology, Monash University. Her main research areas are:

  • Multi-dimensional time series analysis
  • Online learning
  • Learning from non-stationary distributions

Grants:

  • 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

Biography:

Mahsa was a postdoctoral researcher at IBM Research Australia before she joined Monash University. 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 (2012-2016). She received her BSc double degree in Software Engineering and Information Technology in 2006 and 2008, and her Master’s degree in Software Engineering in 2009, all of which were completed at Tehran Polytechnique University, Iran. 

Monash teaching commitment

Mahsa has experience as the Lecturer for the following unit in the Faculty of IT:

  • FIT1043 Introduction to Data Science (Chief Examiner + Lecturer)
  • FIT5145 Introduction to Data Sicnece (Lecturer)

Research interests

My current research interests include multi dimensional time series analysis, learning from non-stationary distributions and deep learning.

Supervision interests

Current PhD students:

  • Milad Chenaghlou: Anomaly detection in data streams

                  October 2015 → present

  • Chaitanya Manapragada: Learning from non-stationary distributions

                  July 2017 → present

  • Thusitha Dayaratne: Anomaly detection in smart grid

                  November 2017 → present

Current Master student:

  • Mohammed AL-Kaf: Anomaly detection in non-stationary distributions

                  July 2017 → present

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 2019

Research Output 2008 2018

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 proceedingConference PaperResearch

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., 14 May 2017, GeoRich 2017 - 4th International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, in Conjunction with SIGMOD 2017. p. 19-24 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

An efficient method for anomaly detection in non-stationary data streams

Chenaghlou, M., Moshtaghi, M., Leckie, C. & Salehi, M., 2017, 2017 IEEE Global Communications Conference (GLOBECOM) - Proceedings: Singapore, 4-8 December 2017. Liang, Y-C., Lim, T. J. & Xiao, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Fast memory efficient local outlier detection in data streams

Salehi, M., Leckie, C., Bezdek, J. C., Vaithianathan, T. & Zhang, X., 16 May 2017, Proceedings of the 2017 IEEE 33rd International Conference on Data Engineering (ICDE 2017): San Diego, California, USA, 19-22 April 2017. Papakonstantinou, Y. & Diao, Y. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 51-52 2 p. 7929928

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Data-driven prediction and visualisation of dynamic bushfire risks

Rusu, L. I., Vo, H. T., Wang, Z., Salehi, M. & Phan, A., 2016, Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings. Springer-Verlag London Ltd., Vol. 9877 LNCS. p. 457-461 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9877 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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

  • 4 Contribution to conference
  • 3 Peer review responsibility

Pattern Recognition (Journal)

Mahsa Salehi (Peer reviewer)
2018 → …

Activity: Publication peer-review and editorial work typesPeer review responsibility

Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018

Mahsa Salehi (Member of programme committee)
2018

Activity: Participating in or organising an event typesContribution to conference

SIAM International Conference on Data Mining 2018

Mahsa Salehi (Member of programme committee)
2018

Activity: Participating in or organising an event typesContribution to conference

SIAM International Conference on Data Mining 2017

Mahsa Salehi (Member of programme committee)
2017

Activity: Participating in or organising an event typesContribution to conference

ACM International Conference on Knowledge Discovery and Data Mining 2016

Mahsa Salehi (Member of programme committee)
2016

Activity: Participating in or organising an event typesContribution to conference