Laleh Tafakori

Dr. Laleh Tafakori

Senior Lecturer, Statistics and Analytics

Details

Open to

  • Masters Research or PhD student supervision

Supervisor projects

  • Analysis of extreme precipitation events using machine learning approach and time series techniques
  • 8 Nov 2023
  • Identifying Influential Nodes in Complex Networks
  • 27 Sep 2023
  • Modelling complex time series using machine learning and time series probabilistic models
  • 14 Sep 2023
  • Predicting the development of type 2 diabetes (T2D) and identifying its key potential risk factors in Saudi Arabia
  • 7 Sep 2023
  • Efficient Offloading in Multi-Access Edge Computing Systems
  • 17 Jul 2023
  • Modelling temporal evolution in spatial ecology with dynamical point processes
  • 7 Jul 2023
  • Maternal and neonatal mortality in Oman: predictive models
  • 22 Jun 2023
  • Multi-sided fair recommendation using multilayered complex networks
  • 25 May 2023
  • Graph Learning based Recommender System in Heterogeneous networks
  • 18 Apr 2023
  • Non-Parametric Estimation Techniques in High-Dimensional Dependence Modeling Using Factor Copula Models
  • 14 Apr 2023
  • Machine learning based influential maximisation in complex networks
  • 21 Mar 2023
  • Probabilistic weather forecasting: Application in electricity market planning
  • 10 Mar 2023
  • An Optimized Comparative Analysis of Energy Forecasting Models through Metaheuristic Algorithms
  • 1 Feb 2023
  • Integrating Niches Interactions & Dispersal in Species Distribution Model
  • 22 Dec 2022
  • Credit portfolio management using Machine Learning algorithms
  • 21 Nov 2022
  • Reducing prevalence of obesity in children in Saudi Arabia by identifying and modelling its key performance indicators and developing profile optimization techniques
  • 4 Oct 2022
  • Understanding social difficulty and clinical conditions using machine learning
  • 3 Mar 2022
  • The Application of Machine Learning in Developing Next-generation Fintech Solutions
  • 19 Jul 2019
  • Reducing Type 1 Childhood Diabetes in Saudi Arabia by Identifying and Modelling Its Key Performance Indicators
  • 9 Apr 2019

Teaching interests

Applied analytics, Introduction to Statistics, Statistical inference, Time Series,
Mathematical Statistics, Stochastic Processes  and  Probability.

Research interests

Extreme value theory, Dependence modelling via copulas, Time series, Machine learning, Financial econometrics, Stochastic processes, Mathematical statistics, Applied probability.

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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.