Dr Ali Eshragh
Senior Lecturer in Statistics & Optimisation
School of Mathematical and Physical Sciences
The University of Newcastle
Callaghan NSW 2308
(+61) (2) 4921 5127
(+61) (2) 4921 6898
In 2001, I finished my Bachelor degree in industrial engineering at Sharif University of Technology as the top ranked student. I continued my graduate studies at Sharif University and completed my Master degree majoring in 'Statistical Modelling and Stochastic Optimization' in 2004.
In 2008, I was awarded an Endeavour International Postgraduate Research Scholarship to start my PhD in Applied Mathematics majoring in 'Probabilistic Operations Research' at the University of South Australia. Because of the nature of my PhD research, I have been exposed to a very broad range of concepts and techniques spanning not only optimization, applied probability and statistical modelling, but also graph theory, complexity theory and polyhedral theory.
In 2011, following submission of my PhD thesis, I was appointed as a Postdoctoral Research Associate at The University of Adelaide. I worked on an ARC-funded research project in which we developed new stochastic models and optimization algorithms to find an optimal experimental design of a growing population with incomplete information.
In 2013, after successfully completing my Postdoc research project, I was appointed as a Lecturer in Operations Research in the School of Mathematical Sciences, the University of Adelaide.
In 2014, I was offered a continuing lecturing position in the School of Mathematical and Physical Sciences, the University of Newcastle. In 2017, I was promoted to senior lecturer (equivalent to associate professor). Currently, I am a senior lecturer in Statistics and Optimisation at the University of Newcastle.
To receive my latest CV, please send me an email.
News: In December 2017, I was awarded the Australian Society for Operations Research - Rising Start Award in 2017 at the International Congress on Modelling and Simulation Conference’s Gala Dinner in Hobart.
New submission: Our joint work on developing a new methodology to select the best regression model is now available on arXiv.