Dr Ali Najmi
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), the Civil and Environmental Engineering Department, UNSW. He received his Ph.D. from the University of New South Wales, Australia. Ali’s focus of research is on the development of shared mobility system as well as activity-based model systems. Also, he is experienced in mathematical programming and model calibration. Ali has published his research in several peer-reviewed journals. He is the recipient of Pyke Johnson Award in 98th Annual meeting of Transportation Research Board, 2018 and the Faculty Postdoctoral Writing Fellowship from the University of New South Wales in 2019. In 2017, he was also the winner of Transportation Research Board Analytics Contest, 2017OUtreach. 

 

Phone
(+61 2) 9385 0396
Location
Civil Engineering Building (H20) Level 1, Room TBA Kensington Campus
  • Journal articles | 2022
    Najmi A; Nazari S; Safarighouzhdi F; Miller EJ; MacIntyre R; Rashidi TH, 2022, 'Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model', Transportation, vol. 49, pp. 1265 - 1293, http://dx.doi.org/10.1007/s11116-021-10210-7
    Journal articles | 2020
    Najmi A; Rey D; Waller ST; Rashidi TH, 2020, 'Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models', Transportation Research Part C: Emerging Technologies, vol. 121, http://dx.doi.org/10.1016/j.trc.2020.102853
    Journal articles | 2017
    Najmi A; Rashidi TH; Abbasi A; Waller ST, 2017, 'Reviewing the transport domain: an evolutionary bibliometrics and network analysis', Scientometrics, vol. 110, pp. 843 - 865, http://dx.doi.org/10.1007/s11192-016-2171-3
  • Preprints | 2020
    Najmi A; Safarighouzhdi F; Miller EJ; MacIntyre R; Rashidi TH, 2020, Determination of COVID-19 parameters for an agent-based model: Easing or tightening control strategies, http://dx.doi.org/10.1101/2020.06.20.20135186
    Conference Papers | 2018
    Najmi AN; Duell MD; Ghasrikhouzani MG; Hossein Rashidi THR; Waller STW, 2018, 'How should travel demand and supply models be jointly calibrated?', in Transportation Research Record, Washington DC, United States, presented at Transportation Research Board 97th Annual Meeting, Washington DC, United States, 08 January 2018 - 12 January 2018, http://dx.doi.org/10.1177/0361198118772954

2019

Awarded Faculty Postdoctoral Writing Fellowship, The University of New South Wales

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

2017

Outstanding Paper – Information and Communications Technologies Committee, Transportation Research Board Analytics Contest, 2017OUtreach

2009

Ranked 1st among M.Sc. students at industrial engineering department at IUST

2008

Awarded Excellent Student Honor, IUST

2007

Ranked 17th among 6434 test takers for M.Sc. in Industrial Engineering, Iran

 

Under Review

Najmi, A., S. Nazari, and T. H. Rashidi. ‘Agent-based Models for Disease Spread Simulation: Applications and Obstacles’. Under review in Transportation Letters: The International Journal of Transportation Research.

Najmi, A., T. H. Rashidi, and W. Liu. ‘Ridesharing Systems as Activity Travel Pattern Generators: A Rolling Horizon-based Approach’. Under review in Transportation Research Part C: Emerging Technologies.

Najmi, A., F. Safarighouzhdi, E. J. Miller, R. MacIntyre, and T. H. Rashidi. ‘Easing or tightening control strategies: Determination of COVID-19 parameters for an agent-based model’. Second round of review in PLOS ONE.

Najmi, A., F. Safarighouzhdi, R. MacIntyre, E. J. Miller, and T. H. Rashidi. ‘Facemask and social distancing, pillars of opening up economies’. Under review in PLOS ONE.

Accepted/Published

Najmi, A., Z. Gu, M. Bostanara, and T. H. Rashidi. ‘On-street parking management and pricing policies: An evaluation from a system enhancement perspective’. Transportation Research Part A: Policy and Practice, In press.

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’. Under review in 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 (2019). ‘Calibration of large-scale transportation planning models: a structured approach’. Transportation (Amst), In press.

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., 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.