Business process automation and analytics

We address problems in the following two areas:



Projects in the area of Business process automation (RPA)
Projects in the area of Business Process Analytics



Recent papers


  1. M. Santiputri, A. K. Ghose, and H. Dam. “Mining task post-conditions: Automating the acquisition of process semantics”, Data and Knowledge Engineering, Volume 109, May 2017, Elsevier

  2. M. Santiputri, A. K. Ghose, H. K. Dam and S. Roy. Goal Orchestrations: Modelling and Mining Flexible Business Processes. In Proceedings of the 36th International Conference on Conceptual Modeling (ER-17), Lecture Notes in Computer Science, Springer, (acceptance rate: 18,3% for full papers). (Best Paper Award)

  3. Gou Y., A. K. Ghose, and H. K. Dam, Leveraging Game-tree Search for Robust Process Enactment. In Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAISE-17), Springer Lecture Notes in Computer Science, Volume 10253 (2017).

  4. R. Sindhgatta, A. K. Ghose, and H. Dam. Context-Aware Analysis of Process Executions to Aid Resource Allocation Decisions. In Proceedings of the 28th International Conference on Advanced Information Systems Engineering (CAISE-2016), Lecture Notes in Computer Science, Volume 9694 (2016), pages 575-589, Springer K. Ponnalagu, A. K. Ghose, N. C. Narendra, H. Dam. Goal-aligned categorization of instance variants in knowledge-intensive processes. In Proceedings of the 13th International Conference on Business Process Management (BPM-15), Lecture Notes in Computer Science, Volume 9253 (2015), pages 350-364, Springer.