Research Interests
Dr. Mirbagheri's research interests include data mining, knowledge discovery in databases, data science, and applied machine learning. His current research focuses on developing novel approaches to address real-world application problems in temporal datasets, particularly problems related to event sequences.
  • Paper accepted at the Data & Knowledge Engineering journal: "Mining High Utility Patterns in Interval-based Event Sequences". September 2021
  • In the news: "New U of R SGI partnership to enrich study of data science in Saskatchewan" [link]. April 2021
  • The paper "High Utility Interval-Based Sequences" received the Best Paper Award at DaWaK. September 2020