Dr. Shahrooz Shahparvari
Details
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Department: Accounting, Info Sys & Supply Chain
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Campus: City Campus Australia
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shahrooz.shahparvari@rmit.edu.au
Open to
- Masters Research or PhD student supervision
About
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 decision-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:
2023
Dean’s Teaching Excellence Award; RMIT University
2022
Dean’s Research Excellence Award; RMIT University
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
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
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
