Dr Ali Eshragh

Dr Ali Eshragh

Lecturer

School of Mathematical and Physical Sciences

Career Summary

Biography

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 offered a lecturing position in the School of Mathematical Sciences, the University of Adelaide.

In 2014, I was appointed as a Lecturer in Statistics in the School of Mathematical and Physical Sciences, the University of Newcastle.

For more information please go to http://www.alieshragh.info/ .

Research Expertise
Please go to http://www.alieshragh.info/research/ .

Teaching Expertise
Please go to http://www.alieshragh.info/teaching/ .

Administrative Expertise
I am currently a member of the School RHD Committee-Statistics discipline. 

Qualifications

  • Doctor of Philosophy, University of South Australia
  • Bachelor of Science, Sharif University of Technology - Iran

Keywords

  • Combinatorial Optimisation
  • Discrete-Event Simulation
  • Markov Decision Processes
  • Optimisation
  • Probabilistic Operations Research
  • Random Walks and Mixing Times
  • Statistics
  • Stochastic Processes

Languages

  • Persian (excluding Dari) (Fluent)
  • English (Fluent)

Fields of Research

Code Description Percentage
010406 Stochastic Analysis and Modelling 50
010206 Operations Research 20
010405 Statistical Theory 30

Professional Experience

UON Appointment

Title Organisation / Department
Lecturer University of Newcastle
School of Mathematical and Physical Sciences
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (11 outputs)

Year Citation Altmetrics Link
2016 Fahimnia B, Davarzani H, Eshragh A, 'Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms', Computers and Operations Research, (2016)

© 2015 Elsevier Ltd. Businesses have more complex supply chains than ever before. Many supply chain planning efforts result in sizable and often nonlinear optimization problems t... [more]

© 2015 Elsevier Ltd. Businesses have more complex supply chains than ever before. Many supply chain planning efforts result in sizable and often nonlinear optimization problems that are difficult to solve using standard solution methods. Meta-heuristic and heuristic solution methods have been developed and applied to tackle such modeling complexities. This paper aims to compare and analyze the performance of three meta-heuristic algorithms in solving a nonlinear green supply chain planning problem. A tactical planning model is presented that aims to balance the economic and emissions performance of the supply chain. Utilizing data from an Australian clothing manufacturer, three meta-heuristic algorithms including Genetic Algorithm, Simulated Annealing and Cross-Entropy are adopted to find solutions to this problem. Discussions on the key characteristics of these algorithms and comparative analysis of the numerical results provide some modeling insights and practical implications. In particular, we find that (1) a Cross-Entropy method outperforms the two popular meta-heuristic algorithms in both computation time and solution quality, and (2) Simulated Annealing may produce better results in a time-restricted comparison due to its rapid initial convergence speed.

DOI 10.1016/j.cor.2015.10.008
2016 Avrachenkov K, Eshragh A, Filar JA, 'On transition matrices of Markov chains corresponding to Hamiltonian cycles', Annals of Operations Research, 243 19-35 (2016) [C1]

© 2014, Springer Science+Business Media New York. In this paper, we present some algebraic properties of a particular class of probability transition matrices, namely, Hamiltonia... [more]

© 2014, Springer Science+Business Media New York. In this paper, we present some algebraic properties of a particular class of probability transition matrices, namely, Hamiltonian transition matrices. Each matrix P in this class corresponds to a Hamiltonian cycle in a given graph G on n nodes and to an irreducible, periodic, Markov chain. We show that a number of important matrices traditionally associated with Markov chains, namely, the stationary, fundamental, deviation and the hitting time matrix all have elegant expansions in the first n- 1 powers of P, whose coefficients can be explicitly derived. We also consider the resolvent-like matrices associated with any given Hamiltonian cycle and its reverse cycle and prove an identity about the product of these matrices. As an illustration of these analytical results, we exploit them to develop a new heuristic algorithm to determine a non-Hamiltonicity of a given graph.

DOI 10.1007/s10479-014-1642-2
Citations Scopus - 1
2016 Bean NG, Eshragh A, Ross JV, 'Fisher Information for a partially observable simple birth process', Communications in Statistics - Theory and Methods, 45 7161-7183 (2016) [C1]

© 2016 Taylor & Francis Group, LLC. In this paper, we study the Fisher Information for the birth rate of a partially observable simple birth process involving n observation... [more]

© 2016 Taylor & Francis Group, LLC. In this paper, we study the Fisher Information for the birth rate of a partially observable simple birth process involving n observations. We suppose that at each observation time, each individual in the population can be observed independently with known fixed probability p. Finding an analytical form of the Fisher Information in general appears intractable. Nonetheless, we find a very good approximation for the Fisher Information by exploiting the probabilistic properties of the underlying stochastic process. Both numerical and theoretical results strongly support the latter approximation and confirm its high level of accuracy.

DOI 10.1080/03610926.2014.978024
2015 Fahimnia B, Sarkis J, Choudhary A, Eshragh A, 'Tactical supply chain planning under a carbon tax policy scheme: A case study', International Journal of Production Economics, 164 206-215 (2015) [C1]

© 2014 Elsevier B.V. All rights reserved. Greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global cli... [more]

© 2014 Elsevier B.V. All rights reserved. Greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change. Industry and their supply chains represent a major source of these emissions. This paper presents a tactical supply chain planning model that integrates economic and carbon emission objectives under a carbon tax policy scheme. A modified Cross-Entropy solution method is adopted to solve the proposed nonlinear supply chain planning model. Numerical experiments are completed utilizing data from an actual organization in Australia where a carbon tax is in operation. The analyses of the numerical results provide important organizational and policy insights on (1) the financial and emissions reduction impacts of a carbon tax at the tactical planning level, (2) the use of cost/emission tradeoff analysis for making informed decisions on investments, (3) the way to price carbon for maximum environmental returns per dollar increase in supply chain cost.

DOI 10.1016/j.ijpe.2014.12.015
Citations Scopus - 18Web of Science - 17
2015 Bean N, Elliott R, Eshragh A, Ross J, 'On Binomial Observation of Continuous-Time Markovian Population Models', Journal of Applied Probability, 52 457-472 (2015) [C1]
DOI 10.1017/S0021900200012572
Citations Web of Science - 1
2015 Fahimnia B, Sarkis J, Eshragh A, 'A Tradeoff Model for Green Supply Chain Planning: A Leanness-versus-Greenness Analysis', OMEGA International Journal of Management Science, 1-28 (2015) [C1]
Citations Scopus - 31Web of Science - 18
2011 Eshragh A, Filar J, Nazar A, 'A Projection-Adapted Cross Entropy (PACE) method for transmission network planning', Energy Systems, 2 189-208 (2011) [C1]

In this paper, we propose an adaptation of the Cross Entropy (CE) method called Projection-Adapted CE (PACE) to solve a transmission expansion problem that arises in management of... [more]

In this paper, we propose an adaptation of the Cross Entropy (CE) method called Projection-Adapted CE (PACE) to solve a transmission expansion problem that arises in management of national and provincial electricity grids. The aim of the problem is to find an expansion policy that is both economical and operational from the technical perspective. Often, the transmission network expansion problem is mathematically formulated as a mixed integer nonlinear program that is very challenging algorithmically. The challenge originates from the fact that a global optimum should be found despite the presence, of possibly a huge number, of local optima. The PACE method shows promise in solving global optimization problems regardless of continuity or other assumptions. In our approach, we sample the integer variables using the CE mechanism, and solve LPs to obtain matching continuous variables. Numerical results, on selected test systems, demonstrate the potential of this approach. © 2011 Springer-Verlag.

DOI 10.1007/s12667-011-0033-x
Citations Scopus - 13
2011 Eshragh A, Filar JA, Haythorpe M, 'A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem', ANNALS OF OPERATIONS RESEARCH, 189 103-125 (2011) [C1]
DOI 10.1007/s10479-009-0565-9
Citations Scopus - 8Web of Science - 4
2011 Eshragh A, Filar J, 'Hamiltonian Cycles, Random Walks, and Discounted Occupational Measures', MATHEMATICS OF OPERATIONS RESEARCH, 36 258-270 (2011) [C1]
DOI 10.1287/moor.1110.0492
Citations Scopus - 1
2009 Eshragh A, Modarres M, 'A New Approach to Distribution Fitting: Decision on Beliefs', Journal of Industrial and Systems Engineering, 3 56-71 (2009)
2008 Eshragh A, Mahlooji, Abouee Mehrizi, Izady, 'Uniform Fractional Part: A Simple Fast Method for Generating Continuous Random Variates', Scientia Iranica: international journal of science and technology, 15 613-622 (2008)
Show 8 more journal articles

Conference (3 outputs)

Year Citation Altmetrics Link
2017 Eshragh A, Esmaeilbeigi R, Garcia-Flores R, Heydar M, 'Whey Reverse Logistics Network Design: A Stochastic Hierarchical Facility Location Model', To Appear in the Proceedings of the 22nd International Congress on Modelling and Simulation (MODSIM2017) (2017)
2015 Eshragh A, 'Fisher Information, Stochastic Processes and Generating Functions', Proceedings of the 21st International Congress on Modelling and Simulation (MODSIM2015) (2015)
2011 Avrachenkov K, Eshragh A, Filar JA, 'Hamiltonian transition matrices', VALUETOOLS 2011 - 5th International ICST Conference on Performance Evaluation Methodologies and Tools (2011) [E1]
DOI 10.4108/icst.valuetools.2011.245841
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Grants and Funding

Summary

Number of grants 9
Total funding $1,944,821

Click on a grant title below to expand the full details for that specific grant.


20161 grants / $161,151

Building statistical literacy for success in higher education$161,151

Funding body: Department of Education

Funding body Department of Education
Project Team Associate Professor Peter Howley, Doctor Elena Prieto-Rodriguez, Doctor Ali Eshragh, Doctor Elizabeth Stojanovski, Associate Professor Erica Southgate, Professor Michael Martin, Associate Professor Peter Dunn, Professor Kathryn Holmes
Scheme Higher Education Participation and Partnerships Programme
Role Investigator
Funding Start 2016
Funding Finish 2016
GNo G1600141
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

20148 grants / $1,783,670

Food & Beverage Supply Chain Optimisation Industrial Transformation Training Centre$1,243,927

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Rick Middleton, Professor Regina Berretta, Associate Professor Michael Bowyer, Doctor Ali Eshragh, Associate Professor Behnam Fahimnia, Professor Mathieu Savelsbergh, Professor Natashia Boland, Dr Costas Stathopoulos, Professor John Bartholdi, Doctor Simon Dunstall, Mrs Carlee McGowan, Mr Robert McMahon, Mr Tim Norris, Mr Robert Scoines, Associate Professor Christopher Scarlett, Doctor Quan Vuong
Scheme Industrial Transformation Training Centres
Role Investigator
Funding Start 2014
Funding Finish 2016
GNo G1301004
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

ARC ITTC MATHS subaccount$347,743

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Doctor Ali Eshragh
Scheme Industrial Transformation Training Centres
Role Lead
Funding Start 2014
Funding Finish 2016
GNo GS150005
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Food & Beverage Supply Chain Optimisation Industrial Transformation Training Centre$90,000

Funding body: Coca Cola Amatil (Australia)

Funding body Coca Cola Amatil (Australia)
Project Team Professor Rick Middleton, Professor Regina Berretta, Associate Professor Michael Bowyer, Doctor Ali Eshragh, Associate Professor Christopher Scarlett, Doctor Masoud Talebian, Associate Professor Behnam Fahimnia, Professor Mathieu Savelsbergh, Professor Natashia Boland, Dr Costas Stathopoulos, Professor John Bartholdi, Doctor Simon Dunstall, Mrs Carlee McGowan, Mr Robert McMahon, Mr Robert Scoines, Mr Tim Norris
Scheme Industrial Transformation Training Centres Partner Funding
Role Investigator
Funding Start 2014
Funding Finish 2016
GNo G1301129
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Food & Beverage Supply Chain Optimisation Industrial Transformation Training Centre$30,000

Funding body: Sanitarium Health and Wellbeing Company

Funding body Sanitarium Health and Wellbeing Company
Project Team Professor Rick Middleton, Professor Regina Berretta, Associate Professor Michael Bowyer, Doctor Ali Eshragh, Associate Professor Christopher Scarlett, Doctor Masoud Talebian, Associate Professor Behnam Fahimnia, Professor Mathieu Savelsbergh, Professor Natashia Boland, Dr Costas Stathopoulos, Professor John Bartholdi, Doctor Simon Dunstall, Mrs Carlee McGowan, Mr Robert McMahon, Mr Robert Scoines, Mr Tim Norris
Scheme Industrial Transformation Training Centres Partner Funding
Role Investigator
Funding Start 2014
Funding Finish 2016
GNo G1301130
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Food & Beverage Supply Chain Optimisation Industrial Transformation Training Centre$30,000

Funding body: Sunrice

Funding body Sunrice
Project Team Professor Rick Middleton, Professor Regina Berretta, Associate Professor Michael Bowyer, Doctor Ali Eshragh, Associate Professor Christopher Scarlett, Doctor Masoud Talebian, Associate Professor Behnam Fahimnia, Professor Mathieu Savelsbergh, Professor Natashia Boland, Dr Costas Stathopoulos, Professor John Bartholdi, Doctor Simon Dunstall, Mrs Carlee McGowan, Mr Robert McMahon, Mr Robert Scoines, Mr Tim Norris
Scheme Industrial Transformation Training Centres Partner Funding
Role Investigator
Funding Start 2014
Funding Finish 2016
GNo G1301131
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Research$30,000

This is a small research grant over three years 2014-2016 granted by Laureate Professor Jon Borwein.

Funding body: Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA), The University of Newcastle

Funding body Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA), The University of Newcastle
Scheme Research Purposes
Role Lead
Funding Start 2014
Funding Finish 2016
GNo
Type Of Funding Internal
Category INTE
UON N

New Staff Grant$10,000

The PVC of the University of Newcastle offered an AU$10K start up grant in 2014. This provided me with the opportunity to visit A./Prof. Catherine Greenhill at the University of New South Wales in May 2014 and Prof. Martin Dyer at the University of Leeds in September-October 2014 to elaborate my research findings in detail and secure their participation in a Discovery Project. In 2015, we submitted a DP-proposal including myself as the lead-CI, Catherine as the co-CI and Martin as the PI.

Funding body: Faculty of Science and Information Technology,The University of Newcastle

Funding body Faculty of Science and Information Technology,The University of Newcastle
Scheme Faculty PVC Conference Funding
Role Lead
Funding Start 2014
Funding Finish 2014
GNo
Type Of Funding Internal
Category INTE
UON N

Faculty PVC Conference Assistance Grant 2014$2,000

Funding body: University of Newcastle - Faculty of Science & IT

Funding body University of Newcastle - Faculty of Science & IT
Project Team Doctor Ali Eshragh
Scheme PVC Conference Assistance Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1401187
Type Of Funding Internal
Category INTE
UON Y
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Research Supervision

Number of supervisions

Completed1
Current4

Total current UON EFTSL

PhD1.9

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2017 Honours Exploration of flu-tracking approaches using time series methods Statistics, The University of Newcastle Principal Supervisor
2017 PhD Supply Food Optimisation PhD (Statistics), Faculty of Science, The University of Newcastle Principal Supervisor
2016 PhD Hamilton Cycles, Polytopes and Markov Chains PhD (Statistics), Faculty of Science, The University of Newcastle Principal Supervisor
2015 PhD Hierarchical Location-Routing Problems PhD (Mathematics), Faculty of Science, The University of Newcastle Principal Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2017 Honours Optimal observation times, the Fisher Information and generating functions Statistics, The University of Newcastle Sole Supervisor
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Dr Ali Eshragh

Position

Lecturer
School of Mathematical and Physical Sciences
Faculty of Science

Contact Details

Email ali.eshragh@newcastle.edu.au
Phone (02) 4921 5127

Office

Room V239
Building Mathematics Building
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