Associate Professor Mali Abdollahian is an academic in the School of Science.
Mali received her Master's in Applied Mathematics and Astronomy and PhD in Statistical Quality Control from the University College Cardiff in the UK. Her research interests are mainly in the area of univariate and multivariate statistical quality control, performance analysis, quality assurance, and statistical modelling, but also include the design of sampling strategies for compliance testing and benchmarking, and performance analysis and quality-control monitoring of public health and environment trends.
Much of Mali's research has involved developing optimal quality-control and quality-assurance procedures for monitoring and improving the quality of products and services in a cost-effective manner. In the last 10 years, she has been developing quality control and performance analysis procedures to monitor and design intervention strategies to reduce the maternal and newborn mortality rates, childhood type I diabetes, childhood obesity, and Type II diabetes. She has been extensively involved in consulting projects and the delivery of short courses to different industries. The refereed publications in the area of her research are listed on Google Scholar.
Quality Control and Sampling Theory
- Mathematics and Statistics for Engineering
- Mathematics and Statistics for Science
- Statistics for Quality and Productivity in Industry
- Mathematics and Statistics for Industrial Engineering
- Questionnaire and Research Design
Key Activities
Associate Professor
Program Manager, Master of Analytics and Master of Statistics and Operations Research, Member of the System Modelling and Optimisation discipline
Supervisor's interest areas:
Application of Statistical quality control and Performance analysis in public health, manufacturing industry, air pollution, software quality, univariate and multivariate processes, and the finance and banking system.
Statistical modeling, univariate and multivariate statistical quality control, performance analysis, quality assurance, and statistical modelling, the design of sampling strategies for compliance testing and benchmarking, and performance analysis and quality-control monitoring of public health and environment trends.
Current research projects
Application of Multivariate quality control and performance analysis to monitor and design intervention strategies to reduce the maternal and newborn mortality rates, childhood type I diabetes, childhood obesity, and Type II diabetes.
Performance Analysis/Process Capability estimation for Clinical data.
Performance Analysis/Process Capability estimation for linear and non-linear profiles.
Performance Analysis/Process Capability estimation for multivariate non-normal processes.
Statistical process control for multistream processes monitoring variability.
Developing multivariate process control models for air pollution monitoring.
Developing multivariate performance control models for cancer prevention.
Developing multivariate process control models for medical data.
Past research projects
Statistical Quality Assurance for Air Monitoring Data.
Statistical Quality Control for Food Manufacturing.
Application of Statistical Quality Control in banking system and steel industry.
Modelling water pollution.
Developing statistical Forecasting models for air pollution and Ozone control.
Application of Multivariate quality control in clinical area.
Optimal Statistical Models for Forecasting Pollution Ozone Modelling and Forecasting.
Improved Output Control.
Cost-Effective Sampling Plans.
New Ways of Learning–Teaching and Assessment in large classes.
Building Leadership Capacity in the use of Student Feedback to Enhance Student Learning and Teaching Practices in Large Classes.
Developing univariate and multivariate time series models for forecasting ground level Ozone
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.
More information