Research Associate
Dr Ali Najmi
Engineering
Rsrch Ctr Transport Innovation
Dr. Ali Najmi is a research associate at the Research Centre for Integrated Transport Innovation (rCITI), Civil and Environmental Engineering Department, UNSW. He received his Ph.D. from the University of New South Wales, Australia. His research contributions are linked to several fields including travel demand modelling, designing transport networks, developing activity-based models, modelling transport market, and choice modelling. Ali has established a strong performance in his academic life demonstrated by publications, conference proceedings and awards he has received.
Phone
(+61 2) 9385 0396
E-mail
Location
Civil Engineering Building (H20)
Level 1, Room TBA
Kensington Campus
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
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2023 |
Awarded Swiss Government Excellence Postdoctoral Scholarship, Switzerland Government |
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2020 |
Awarded Eric Pas Award – Honorable Mention, IATBR |
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2019 |
Awarded Faculty Postdoctoral Writing Fellowship, The University of New South Wales |
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2018 |
Awarded Pyke Johnson Award in recognition of the outstanding paper in the area of planning and environment - 98th Annual meeting of Transportation Research Board |
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2017 |
Outstanding Paper – Information and Communications Technologies Committee, Transportation Research Board Analytics Contest, 2017OUtreach |
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2009 |
Ranked 1st among M.Sc. students at industrial engineering department at IUST |
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2008 |
Awarded Excellent Student Honor, IUST |
Published papers
Najmi, A., T. Waller, M. Memarpour, D. Nair, and T. H. Rashidi (2023). ‘A human behaviour model and its implications in the transport context’. Transportation Research Interdisciplinary Perspectives, 18, 100800
Najmi, A., T. H. Rashidi, and T. Waller (2023). ‘A multimodal multi-provider market equilibrium model: a game-theoretic approach’. Transportation Research Part C: Emerging Technologies, 146, e103959.
Najmi, A., F. Safarighouzhdi, E. J. Miller, R. MacIntyre, and T. H. Rashidi (2022). ‘Easing or tightening control strategies: Determination of COVID-19 parameters for an agent-based model’. Transportation, 49 (5), 1265-1293.
Najmi, A., S. Nazari, F. Safarighouzhdi, R. MacIntyre, E. J. Miller, and T. H. Rashidi (2021). ‘Facemask and social distancing, pillars of opening up economies’. PLOS ONE, 16(4): e0249677.
Najmi, A., Z. Gu, M. Bostanara, and T. H. Rashidi (2021). ‘On-street parking management and pricing policies: An evaluation from a system enhancement perspective’. Transportation Research Part A: Policy and Practice, 146, 128-151.s
Najmi, A., D. Rey, T. H. Rashidi, and S. T. Waller (2020). ‘Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models’. Transportation Research Part C: Emerging Technologies, 121.
Gu, Z., A. Najmi, W. Liu, M. Saberi, and T. H. Rashidi (2020). ‘Macroscopic parking modeling and optimal real-time pricing considering cruising-for-parking’. Transportation Research Part C: Emerging Technologies. 118, 9.
Rashidi, T. H., A. Najmi, A. Haider, and C. Wang (2020). ’What We Know and do not Know About Connected and Autonomous Vehicles’. Transportmetrica A: Transport Science, 16(3), 987-1029.
Hassan, M. N., A. Najmi, and T. H. Rashidi (2019). A Two-Stage Recreational Destination Choice Study Incorporating Fuzzy Logic in Discrete Choice Modelling. Transportation Research Part F: Psychology and Behaviour. 67, 123-141.
Najmi, A., T. H. Rashidi, J. Vaughan and E. J. Miller (2020). ‘Calibration of large-scale transportation planning models: a structured approach’. Transportation (Amst), 47, 1867–1905.
Najmi, A., T. H. Rashidi and E. J. Miller (2019). ‘A novel approach for systematically calibrating transport planning model systems’. Transportation. 46(5), 1915–1950.
Najmi, A., M. Duell, M. Ghasri, T.H. Rashidi and S.T. Waller (2018). ‘How Should Travel Demand and Supply Models Be Jointly Calibrated?’ Transportation Research Record: Journal of the Transportation Research Board. 2672(47), 114–124. This paper received the Pyke Johnson Award by TRB.
Najmi, A., D. Rey and T. H. Rashidi (2017). ‘Novel dynamic formulations for real-time ride-sharing systems’. Transportation Research Part E: Logistics and Transportation Review, 108, 122–140.
Najmi, A., T. H. Rashidi, A. Abbasi and S. T. Waller (2017). ‘Reviewing the transport domain: an evolutionary bibliometrics and network analysis’. Scientometrics, 110(2), 843-865.
Najmi, A., H. Shakouri G., S. Nazari, (2017). ‘An integrated supply chain: A large scale complementarity model for the biofuel markets’, Biomass and Bioenergy, 86, 88-104.
Najmi, A., H. Shakouri G., A. Keramati, (2014). ‘Energy Consumption in the Residential Sector: A Study on Critical Factors’, International Journal of Sustainable Energy, 35(7), 645-663.
Najmi, A., A. Makui, M.R. Gholamian, (2013). ‘Supply chain performance models: A literature review on approaches, techniques, and criteria’, Journal of Operations and Supply Chain Management, 6 (2), 94-113.
Najmi, A., A. Makui, (2012). ‘A conceptual model for measuring supply chain’s performance’, Production planning & control: The Management of Operations, 23(9), 694-706.
Najmi, A., A. Makui, (2010), ‘Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies’, International Journal of Industrial Engineering Computations, 1 (2), 199-212.
Akhavan, P., M. R. Zahedi, A. Najmi, (2011). ‘Critical success factors of knowledge management in supply chains of Iran automotive industries’, Management in Future, 26, 77-100, in Persian
Published Books
Razmi, J., M. Nasrollahi, A. Najmi, ‘Green supply chain: Designing, Planning, Implementation and Evaluation’, Qazvin Islamic Azad University, Tehran, 2013.
Peer-Reviewed Conference Proceedings
Najmi, A., T. H. Rashidi, and S. T. Waller (2023). ‘A Multimodal Multi-Provider Market Equilibrium Model’, In: 102th Annual meeting of Transportation Research Board, Washington D.C.
Najmi, A., W. Liu, and T. H. Rashidi (2022). ‘A complementarity formulation for modelling a multimodal transport system’, In: International Association for Travel Behaviour Research, Santiago, Chile.
Najmi, A., E. J. Miller, R. MacIntyre, and T. H. Rashidi (2022). ‘Easing or tightening control strategies: the Case of Sydney’, In: 101th Annual meeting of Transportation Research Board, Washington D.C.
Najmi, A., D. Rey, T. H. Rashidi, and S. T. Waller (2020). ‘A proper formulation for integrating demand and supply of transport into a Supernetwork’, In: 99th Annual meeting of Transportation Research Board, Washington D.C.
Najmi, A., T. H. Rashidi, J. Vaughan and E. J. Miller (2019). ‘A novel multi-objective approach for calibration of large-scale transportation planning models’, In: 98th Annual meeting of Transportation Research Board, Washington D.C.
Najmi A., M. Duell, M. Ghasri, T.H. Rashidi, S. T. Waller (2018). 'How should travel demand and supply models be jointly calibrated?', In: 97th Annual meeting of Transportation Research Board, Washington D.C.
Hassan, M. N., A. Najmi, and T. H. Rashidi (2017). ‘Recreational destination choice modeling incorporating fuzzy logic in discrete choice modeling’, In: 96th Annual meeting of Transportation Research Board, Washington D.C.
Najmi, A., P. Akhavan, S. Nazari, (2011). ‘Identification of knowledge key factors in Iranian automotive companies supply chains progress towards knowledge management’, Presented at 3rd Knowledge Management Conference, Tehran, Iran, February 8-9.
M. Yahyaabadi, A. Najmi, A. Samadi, A. Alimohammadi, (2011). ‘Identification of the factors affecting the implementation of the knowledge management and providing the regression model’, Presented at 3rd Knowledge Management Conference, Tehran, Iran, February 8-9.