Mali ABDOLLAHIAN

Associate Professor Mali ABDOLLAHIAN

Associate Professor

Details

Open to

  • Masters Research or PhD student supervision

About

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.

Supervisor projects

  • Optimizing Transfer Learning Domain Generalization
  • 2 Dec 2024
  • Satellite-based Extreme Precipitation Estimation Using Machine Learning 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 the Prevalence of Childhood Obesity in Saudi Arabia by Identifying and Modeling 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
 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.

Research interests

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

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Acknowledgement of Country

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.

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