Associate Professor Mali ABDOLLAHIAN
Associate Professor
Details
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College: School of Science
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Department: School of Science
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Campus: City Campus Australia
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mali.abdollahian@rmit.edu.au
Open to
- Masters Research or PhD student supervision
About
Dr Mali Abdollahian is an academic in the School of Science. Her research interests are mainly in the areas of statistical quality control and quality assurance and statistical modelling.
Mali received her Master in Applied Mathematics and Astronomy and PhD in Statistical Quality Control from University College Cardiff in the UK. Her research interests are mainly in the area of univariate and multivariate statistical quality control and quality assurance and statistical modelling, but also include the design of sampling strategy for compliance testing and benchmarking, and performance analysis and quality-control monitoring of 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. She has been extensively involved in consulting projects and delivery of short courses to different industries. The refereed publications in the area of her research are listed on Google Scholar.
Mali received her Master in Applied Mathematics and Astronomy and PhD in Statistical Quality Control from University College Cardiff in the UK. Her research interests are mainly in the area of univariate and multivariate statistical quality control and quality assurance and statistical modelling, but also include the design of sampling strategy for compliance testing and benchmarking, and performance analysis and quality-control monitoring of 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. She has been extensively involved in consulting projects and delivery of short courses to different industries. The refereed publications in the area of her research are listed on Google Scholar.
Supervisor projects
- Analysis of extreme precipitation events using machine learning approach and time series techniques
- 8 Nov 2023
- Clusterwise Linear Regression: Prediction Methods and Applications
- 10 Oct 2023
- Predicting the development of type 2 diabetes (T2D) and identifying its key potential risk factors in Saudi Arabia
- 13 Sep 2023
- Maternal and neonatal mortality in Oman: predictive models
- 23 Jun 2023
- Optimizing Transfer Learning Domain Generalization
- 27 Mar 2023
- Optimisation Approaches for Planning and Operation of Relief Efforts during Flood
- 1 Feb 2022
- Optimal algorithms for credit risk; Model selection, performance and monitoring
- 22 Nov 2021
- Utilising Machine Learning Approaches to Develop Price Optimisation and Demand Prediction Models for Multiple Products with Demand Correlation
- 28 Jun 2021
- Reducing prevalence of obesity in children in Saudi Arabia by identifying and modelling its key performance indicators and developing profile optimization techniques
- 10 Jan 2020
- Reducing Type 1 Childhood Diabetes in Saudi Arabia by Identifying and Modelling Its Key Performance Indicators
- 9 Apr 2019
- Development and Application of Process Capability Analysis
- 22 Jul 2016
- Development of multivariate quality control and quality assurance models for antenatal care service in Indonesia
- 2 Mar 2015
- Modelling and monitoring maternal mortality rate(MMR) in South Sudan
- 22 Jan 2015
- Multivariate process variability monitoring for higher dimensional data
- 3 Feb 2014
Teaching interests
- 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
Senior Lecturer
Member of System Modelling and Optimisation discipline
Supervisor interest areas:
Statistical quality control and its applications in: manufacturing industry, air pollution control, software quality, univariate and multivariate processes, health industry and the banking system.
- 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
Senior Lecturer
Member of System Modelling and Optimisation discipline
Supervisor interest areas:
Statistical quality control and its applications in: manufacturing industry, air pollution control, software quality, univariate and multivariate processes, health industry and the banking system.
Research interests
Statistics, Applied Mathematics, Manufacturing Engineering, Numerical and Computational Mathematics, Other Mathematical Sciences, Information Systems
Current research projects
Application of Multivariate quality control in clinical area.
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
Current research projects
Application of Multivariate quality control in clinical area.
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
