Dr Shahrooz Shahparvari is a leading decision making and business optimisation modelling academic in practical industry‐motivated and data-driven problems.
Dr Shahparvari is a senior lecturer in Supply Chain and Logistics at the School of Accounting, Information Systems, and Supply Chain at RMIT University. He was previously as Pro-Vice-Chancellor's Postdoctoral research fellow in Supply Chain and Logistics in which he has developed and led several large-scale research projects.
Dr Shahparvari's research and teaching focus on technological transformations in supply chain and logistics and their implications to improve decisions making in businesses and not-for-profit organisations. His works focus as much on humanity as on developing cutting-edge technical and analytical practical robust solutions as resilient decision support systems to solve pressing contemporary supply chain problems.
He has published in top-tier Operations Research analytics journals including the international journal of management science (OMEGA), Transportation research part A, part D, E, Computers & operations research, Fire safety, Journal of disaster risk reduction, Australasian journal of information system, and various others. His research interests include decision support systems using advanced analytics, mathematical optimisation modelling, and statistical analysis in practical business planning procedures.
Awards:
2020
College of Business and Law Early Career Research Excellence Award - RMIT University
Dean's Early Career Research Excellence Award - RMIT University
2016
Deputy Pro Vice-Chancellor High-Quality Publication Award - RMIT University
2015
Best Paper Award - IEEE-IEEM Conference
Academic positions
DPVC Postdoctoral fellow (Supply Chain and Logistics)
RMIT University
Melbourne, Australia
2017 – 2020
Supervisor projects
Big Data Analytics to Achieve Lean Performance in Fresh-Agri-Food Cold Chain
16 Aug 2024
Designing a Multi-Agent Humanitarian Supply Chain for Suppression and Evacuation Planning to Mitigate Natural Disasters in Australia: An Approximate Dynamic Programming Approach.
27 Nov 2023
Configurations of Organisational Resilience Capabilities to Enhance Maritime Service Quality.
7 Sep 2023
Modelling the Factors Affecting Port Lapse Time
15 Apr 2019
Teaching interests
Supervisor interest areas:
Problem-based analytics
Supply chain and logistics modelling
Machine learning algorithms
City logistics and urban planning
Disaster management
Urban waste management
Stochastic optimisation
Supply chain disruption
Transport network planning
Operations research
Supervisor projects
Modelling the Factors Affecting Port Lapse Time
Program:
MC198 - Master of Supply Chain and Logistics (https://www.rmit.edu.au/study-with-us/business/supply-chain-and-logistics)
Research interests
Dr Shahparvari's primary research areas are as follows:
Supply chain risk management as developing and implementing risk mitigation strategies to improve supply chain resilience/agility
Developing and implementing analytics and methodologies for integrated and collaborative decision making
Developing frameworks and decision-support tools to quantify and tackle environmental and social sustainability risks
Research keywords:
Optimisation, Business Analytics, Modelling, Optimal Decision Making, Emergency Management Analytics, Simulation
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.