Professor Babak Abbasi
Deputy Dean, Research & Innovation
Details
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College: Accounting, Info Sys & Supply Chain
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Department: Accounting, Info Sys & Supply Chain
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Campus: City Campus Australia
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babak.abbasi@rmit.edu.au
Open to
- Masters Research or PhD student supervision
- Media enquiries
About
Professor Babak Abbasi's research focuses on industry‐motivated quantitative modeling and decision making under uncertainty applied to health care delivery improvement, supply chain coordination, resources allocation, service operations management, and manufacturing.
He was the recipient of RMIT Research Impact Award (Enterprise) in 2016 and RMIT Award for Excellence – Industry Engagement in Graduate Research in 2020.
Professor Babak's teaching and research is in the area of Business Analytics, Decision Sciences, Operations Research, Machine Learning, Operations Management and Optimisation.
His research investigates leveraging the broader context in mathematical modelling, machine learning and stochastic optimisation to improve decisions making in the businesses and not-for-profit organisations. He has advanced optimisation models and solution algorithms for practical problems such as inventory decisions in blood management, resource allocation in hospital including intensive care units (ICUs) and emergency departments, inventory transshipment decisions, resource allocation for emergency responses, allocation and scheduling of caregivers for home healthcare systems, and donor communication decisions in charities and not-for-profit organisations.
Professor Babak's research has been published in reputable journals such as Decision Sciences, European Journal of Operational Research and INFORMS Journal of Applied Analytics. He is currently an associate editor for the Decision Sciences journal.
Professor Babak has been involved in software development including:
- SPSA-FSR (spFSR package in R): Feature Selection and Ranking by Simultaneous Perturbation Stochastic Approximation (https://cran.r-project.org/web/packages/spFSR/index.html). Developed by: Vural Aksakalli, Babak Abbasi, Yong KaiWong, Zeren D. Yenice- Date 2018 - It had over 8600 downloads till Sept 2020.
- Teaching Game - Empty Container Relocation Problem. Developed by Babak Abbasi and Jaehyun Shin.
Industry Experience
The nature of Professor Babak's research is industry‐motivated and data-driven. He has worked with several industry partners including Australian Red Cross Blood Life, KPMG, The City of Melbourne, Geoscience Australia, Fonterra, and The Florey Institute of Neuroscience and Mental Health.
Awards
2020 RMIT Award for Excellence; Industry Engagement in Graduate Research
Award date: 2020
Recipients: Babak Abassi
RMIT University Research Impact Award (Enterprise)
Award date: 2016
Recipients: Babak Abassi
Endeavour Fellowship Award
Award date: 2009
Recipients: Babak Abassi
Public and media engagements
2020
We modelled how a COVID vaccine roll-out would work. Heres what we found, The Conversation, 30th Nov 2020.
Viewed more than 95k.
2020
Planning may cut late evacuation bushfire death toll. Australian Forests and Timber, 1st Nov 2016.
He was the recipient of RMIT Research Impact Award (Enterprise) in 2016 and RMIT Award for Excellence – Industry Engagement in Graduate Research in 2020.
Professor Babak's teaching and research is in the area of Business Analytics, Decision Sciences, Operations Research, Machine Learning, Operations Management and Optimisation.
His research investigates leveraging the broader context in mathematical modelling, machine learning and stochastic optimisation to improve decisions making in the businesses and not-for-profit organisations. He has advanced optimisation models and solution algorithms for practical problems such as inventory decisions in blood management, resource allocation in hospital including intensive care units (ICUs) and emergency departments, inventory transshipment decisions, resource allocation for emergency responses, allocation and scheduling of caregivers for home healthcare systems, and donor communication decisions in charities and not-for-profit organisations.
Professor Babak's research has been published in reputable journals such as Decision Sciences, European Journal of Operational Research and INFORMS Journal of Applied Analytics. He is currently an associate editor for the Decision Sciences journal.
Professor Babak has been involved in software development including:
- SPSA-FSR (spFSR package in R): Feature Selection and Ranking by Simultaneous Perturbation Stochastic Approximation (https://cran.r-project.org/web/packages/spFSR/index.html). Developed by: Vural Aksakalli, Babak Abbasi, Yong KaiWong, Zeren D. Yenice- Date 2018 - It had over 8600 downloads till Sept 2020.
- Teaching Game - Empty Container Relocation Problem. Developed by Babak Abbasi and Jaehyun Shin.
Industry Experience
The nature of Professor Babak's research is industry‐motivated and data-driven. He has worked with several industry partners including Australian Red Cross Blood Life, KPMG, The City of Melbourne, Geoscience Australia, Fonterra, and The Florey Institute of Neuroscience and Mental Health.
Awards
2020 RMIT Award for Excellence; Industry Engagement in Graduate Research
Award date: 2020
Recipients: Babak Abassi
RMIT University Research Impact Award (Enterprise)
Award date: 2016
Recipients: Babak Abassi
Endeavour Fellowship Award
Award date: 2009
Recipients: Babak Abassi
Public and media engagements
2020
We modelled how a COVID vaccine roll-out would work. Heres what we found, The Conversation, 30th Nov 2020.
Viewed more than 95k.
2020
Planning may cut late evacuation bushfire death toll. Australian Forests and Timber, 1st Nov 2016.
Supervisor projects
- Application of IOTs within the Australian Construction Industry
- 3 Jun 2024
- Developing an equitable and efficient supply chain network for post-disaster recovery phase
- 9 Feb 2024
- Data analytics-enabled innovation and port performance improvement in Australia
- 22 Nov 2023
- Blood Supply Chain
- 15 Mar 2023
- Reinforcement Learning in Food Supply Chain- Multi Products with Different Shelf Life
- 29 Jul 2022
- An Optimisation of Multimodal Transportation for Green Cold Chain Logistics in Perishable Food Products.
- 14 Feb 2022
- Optimizing the container vessel time delay realized due to disruptions in the maritime port network focusing South Asian Regional Port Network
- 14 Jan 2022
- Factors Influencing Customer Loyalty in Mobile Telecommunications Products and Services in Australia
- 21 Feb 2020
- Mathematical Modelling and Solution Approaches to Tackle Challenges in Real-life Routing Problems
- 17 Jul 2019
- Platform Evolution Metrics (PEM); Examining platform and complementor attributes on Digital Platform Durability (DPD): a platform network view
- 9 Jul 2019
- A Blockchain-Based Last-Mile Delivery Deployment Model
- 3 Dec 2018
- An Analytical Study on Farmland Allocation in The Conversion From Conventional to Organic Farming
- 24 Sep 2018
- An Empirical Investigation of the Effectiveness of eLearning Strategies in Higher Education: A Rasch model for Saudi Arabia
- 4 Jun 2018
- Optimisation Approaches For an Orienteering Problem with Applications to Wildfire Management.
- 3 May 2018
- Capital Structure Optimization- Dynamic-Stochastic Programming Approach
- 9 Apr 2018
- Towards More Sustainable Logistics: Antecedents and Outcomes of Environmental Performance for Transport and Logistics Companies
- 13 Feb 2018
- Modelling the Factors Affecting Urban Residential Fires - A Case Study of Melbourne
- 28 Mar 2017
- Optimal Capacity Decisions of Airlines under Supply-Demand Equilibrium
- 2 Sep 2016
- Scheduling and Staffing of Multiskilling of Workforce in the Context of Off-side Construction
- 27 Jul 2016
- Optimising Financial Performance Measures in a Supply Chain Network Redesign
- 22 Feb 2016
- Transshipment in Supply Chain Networks with Perishable Items
- 2 Mar 2015
- Ensuring Blood is Available when it is Needed Most
- 3 Mar 2014
Teaching interests
Supervisor interest areas:
Data-Driven Optimization
Supply Chain Optimisation
Healthcare Analytics
Blood Supply Chain Management
Intersection of Machine Learning and Optimisation
Operations Research
Disaster Management
Stochastic Optimisation
Service Level Agreements
Supply Chain Disruption
Supervisor projects:
Intersection of Machine Learning in Optimisation for Decision Making (improving practical decision making by embedding machine learning in optimisation framework)
Enhancing the data-driven robust optimisation
Blood Supply Chain Improvement
Data-Driven Optimization
Supply Chain Optimisation
Healthcare Analytics
Blood Supply Chain Management
Intersection of Machine Learning and Optimisation
Operations Research
Disaster Management
Stochastic Optimisation
Service Level Agreements
Supply Chain Disruption
Supervisor projects:
Intersection of Machine Learning in Optimisation for Decision Making (improving practical decision making by embedding machine learning in optimisation framework)
Enhancing the data-driven robust optimisation
Blood Supply Chain Improvement
Research interests
Professor Babak's current research focus is intersection of machine learning and optimisation to better capture uncertainty and ambiguity in business decision-making.
He has strong research collaboration networks and has been working with academics form other institutions including Yale University, University of Washington, Cornell University, Hong Kong Polytechnic University, University of Melbourne, University of Barcelona, University of Virginia and Michigan State University. He is a member the national committee for the Australian Society for Operations Research’s and was the co-chair of the ASOR scientific committee of the Australian Society of Operations Research 2018 conference.
He has strong research collaboration networks and has been working with academics form other institutions including Yale University, University of Washington, Cornell University, Hong Kong Polytechnic University, University of Melbourne, University of Barcelona, University of Virginia and Michigan State University. He is a member the national committee for the Australian Society for Operations Research’s and was the co-chair of the ASOR scientific committee of the Australian Society of Operations Research 2018 conference.
