Mahsa Salehi
Scholar

Mahsa Salehi

Google Scholar ID: tTxJ1owAAAAJ
Senior Lecturer, Monash University
Anomaly DetectionTime Series AnalysisMachine LearningBrain EEG Analysis
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Citations & Impact
All-time
Citations
1,785
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
11
list available
Contact
Emailmyresearch@monash.eduCVOpen ↗TwitterOpen ↗LinkedInOpen ↗
Publications
6 items
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
2025
Cited
0
EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG
2025
Cited
0
MONSTER: Monash Scalable Time Series Evaluation Repository
2025
Cited
0
GenIAS: Generator for Instantiating Anomalies in time Series
2025
Cited
0
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
IEEE Transactions on Knowledge and Data Engineering · 2024
Cited
0
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
International Conference on Learning Representations · 2023
Cited
3
Resume (English only)
Academic Achievements
  • - SIG KDD 2025 Audience Appreciation Award
  • - ICDM 2022 Best Paper Runner-Up Award (top 0.2%)
  • - 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 (1st in Australia and among the top 20 in the World), 2012
  • - 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
  • - Multiple research outputs and projects over the years
Research Experience
  • - Senior Lecturer in the Department of Data Science and AI, Faculty of Information Technology, Monash University
  • - Postdoctoral Researcher at IBM Research Australia
  • - Teaching experience: Chief Examiner and Lecturer for FIT1043 Introduction to Data Science, FIT2082 Computer Science Project, FIT5145 Introduction to Data Science
Education
  • - Ph.D. in Computer Science, University of Melbourne, awarded on August 3, 2016
  • - M.Sc. in Software Engineering, Amirkabir University of Technology, awarded on August 31, 2009
  • - B.Sc. in Information Technology, Amirkabir University of Technology, awarded on August 31, 2008
  • - B.Sc. in Computer Engineering, Amirkabir University of Technology, awarded on August 31, 2006
Background
  • - Research Interests: 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
  • - Professional Field: Data Science and AI
  • - Biography: Senior Lecturer in the Department of Data Science and AI, Faculty of Information Technology, Monash University. Before joining Monash, she was a postdoctoral researcher at IBM Research Australia.
Miscellany
  • - Personal interests not specified
Co-authors
11 total
Geoff Webb
Geoff Webb
Professor, Department of Data Science and Artificial Intelligence, Monash University
Christopher Leckie
Christopher Leckie
Professor, Computing and Information Systems, The University of Melbourne
ChangWei Tan
ChangWei Tan
Applied Scientist Oracle
Shirui Pan
Shirui Pan
Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University
Charu Aggarwal
Charu Aggarwal
Distinguished Research Staff Member, IBM T. J. Watson Research Center
Ariel Liebman
Ariel Liebman
Professor (Sustainable Energy Systems), Faculty of Information Technology, Monash University
Carsten Rudolph
Carsten Rudolph
Monash University, Melbourne, Australia
Co-author 8
Co-author 8