Mahsa Salehi

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:

Awards:

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. 

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)

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

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