Mr Ashwani Kumar
The University of Melbourne
My current research includes classifying surgical patients into lower variability resource user groups and developing a resource allocation scheme to improve the efficiency of the healthcare system. Apart from this, I am interested in scheduling and stochastic optimisation of real life systems.
Master of Science (Mathematics and Statistics)
Graduate Diploma in Science (Mathematics and Statistics)
Bachelor of Technology (Engineering)
Invited talks, refereed proceedings and other conference outputs
Kumar, A. (2017). Optimising Patient Flow and Throughput. Australian and New Zealand Industrial and Applied Mathematics Conference 2017.
Kumar, A. (2017). A Sequential Stochastic Mixed Integer Programming Model For Elective Surgery Scheduling. AMSI optimise.
Kumar, A. (2017). Classifying patients into lower variability length of stay groups. Applied Probability @ The Rock.
Kumar, A., & Anjomshoa H. (2019). A Two-Stage Model to Predict Surgical Patients' Lengths of Stay from an Electronic Patient Database. IEEE Journal of Biomedical and Health Informatics. 23(2), 848-856. doi: 10.1109/JBHI.2018.2819646
Kumar, A., Costa A. M., Fackrell M., & Taylor P. (2018). A sequential stochastic mixed integer programming model for tactical masters surgery scheduling. European Journal of Operational Research. 270(2), 734-746. doi: 10.1016/j.ejor.2018.04.007