Mojtaba Heydar | ARC Centre of Excellence for Mathematical and Statistical Frontiers

Curtin University

Mojtaba is a postdoctoral research fellow in stochastic modelling of healtcare systems at the University of Tasmania. He received his Ph.D. in Industrial Engineering from University of Wisconsin-Milwaukee in 2014.

Research Interests:

Markov decision process

Mixed Integer Programming

Operations Research

Stochastic modelling

Stochastic optimisation

Qualifications:

PhD, University of Wisconsin-Milwaukee 2014

Publications

Book Chapters

2018

Paam, P.., Berretta R.., & Heydar M. (2018). An Integrated Loss-Based Optimization Model for Apple Supply Chain. (N., K., J. E., & R. B., Ed.).Operations Research Proceedings 2017. 663 - 669. doi: 10.1007/978-3-319-89920-6_88

Journal Articles

2016

Petering, M. E. H., Heydar M., & Bergmann D. R. (2016). Mixed-Integer Programming for Railway Capacity Analysis and Cyclic, Combined Train Timetabling and Platforming. Transportation Science. 50(3), 892 - 909. doi: 10.1287/trsc.2015.0652

Heydar, M., Yu J., Liu Y., & Petering M. E. H. (2016). Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution. Journal of Advanced Transportation. 50(7), 1314 - 1335. doi: 10.1002/atr.1403

Nezami, F. Ghazi, & Heydar M. (2016). Energy-aware Economic Production Quantity model with variable energy pricing. Operational Research. doi: 10.1007/s12351-016-0284-3

Welcome to the ACEMS Reportal

All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).

Dr Mojtaba Heydar

Publications

2018

2016

Research links

Links

ARC Centre of Excellence for Mathematical & Statistical Frontiers

Welcome to the ACEMS Reportal

All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).

Dr Mojtaba Heydar

2018

2016

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Links

ARC Centre of Excellence for Mathematical & Statistical Frontiers