I am the Australian Research Council Discovery Early Career Researcher Award (ARC DECRA) Fellow (2017 round), and the recipient of the Australian Society For Operations Research (ASOR) Rising Star Award. My main research expertise is the development and implementation of optimisation models and techniques for solving challenging real-world problems. My DECRA project is in the domain of operations research and optimisation, and aims to develop innovative mathematical models and optimisation techniques for modelling, solving, and analysing complex and challenging real-world optimisation problems in the areas of scheduling, routing, logistics and transportation, air transport, and healthcare delivery.
I have also conducted several multidisciplinary research projects in the areas of quantitative project management and scheduling, for which I have been internationally recognised through my publications in top tier international journals, and have been nationally recognised by being awarded the prestigious Project Management Achievement Award by the Australian Institute of Project Management (AIPM) in 2016, and mathematical finance, for which I have published my work in top journals of the field, and have won the "Silver Bullet" award.
I am a member of INFORMS (the Institute for Operations Research and the Management Sciences) and ASOR (Australian Society For Operations Research).
I am a member of the editorial board of the leading International Journal of Project Management published by Elsevier. I am also a regular reviewer for the top tier journals of
- OMEGA - International Journal of Management Science
- Journal of Scheduling
- Computers & Operations Research (outstanding reviewer; within the top 10th percentile of reviewers)
- Annals of Operations research
- International Journal of Production Research
International Journal of Project Management (outstanding reviewer; within the top 10th
percentile of reviewers)
- Construction Management and Economics
- International Journal of Manufacturing Technology and Management
- Scientia Iranica Journal
Can supervise: YES
Operations research; Combinatorial optimisation; Integer programming; Scheduling; Routing, transportation and logistics; Healthcare operation management; Portfolio optimisation and quantitative finance; Data science
Honours and Masters students:
- Ao Zhou (2017 - 2018)
- Reza Khanbabaei (Thesis: Efficient solution strategies for the aircraft landing problem, 2015 - 2016)
- Mohammad Mahdi Ahmadian (UTS International Research Scholarship (IRS) and UTS Faculty of Science Scholarship, 2018-)
- Mostafa Khatami (UTS International Research Scholarship (IRS) and UTS President's Scholarship (UTSP), 2018-)
- Ao Zhou (2018-)
- Mobina Mashkani (Australian government International Research Training Program (IRTP) Scholarship, 2018-)
- Honours, Masters, and PhD research projects are available. If you are interested in working with me, and have a research experience, please email me your CV.
- Honours Seminar 1–Scheduling Theory Fundamentals (37481)
- Honours Seminar 2–Python Programming for Operations Research (37482)
- Operations Research 1 & 2
- Engineering Statistics
- Discrete-Event System Simulation
- Engineering Economics
- Transportation Planning
- Project Scheduling Techniques
Noorosana, R, Salehipour, A & Saghaei, A 2005, What is Six Sigma?, 10, THQ, Tehran.
Aini, A, Eshghi, K & Salehipour, A 2020, 'A NEW APPROACH FOR SENSITIVITY ANALYSIS IN NETWORK FLOW PROBLEMS', INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, vol. 27, no. 1, pp. 72-87.
Khatami, M, Salehipour, A & Cheng, TCE 2020, 'Coupled task scheduling with exact delays: Literature review and models', European Journal of Operational Research, vol. 282, no. 1, pp. 19-39.View/Download from: Publisher's site
© 2019 Elsevier B.V. The coupled task scheduling problem concerns scheduling a set of jobs, each with at least two tasks and there is an exact delay period between two consecutive tasks, on a set of machines to optimize a performance criterion. While research on the problem dates back to the 1980s, interests in the computational complexity of variants of the problem and solution methodologies have been evolving in the past few years. This motivates us to present an up-to-date and comprehensive literature review on the topic. Aiming to provide a complete road map for future research on the coupled task scheduling problem, we discuss all the relevant studies and potential research opportunities. In addition, we propose several sets of benchmark instances for the problem in various settings and provide a detailed evaluation of all the available mathematical models with a view to facilitating future research on the solution methods.
© 2019 International Association for Mathematics and Computers in Simulation (IMACS) The aircraft landing problem (ALP) is the problem of allocating an airport's runways to arriving aircraft as well as scheduling the landing time of aircraft, with the objective of minimizing the total deviation from the target landing times. We propose a simple heuristic to solve ALP. The distinguishing factor of the proposed algorithm includes decomposing the problem into a chain of smaller and easier-to-solve problems. We show that utilizing this strategy is very effective in solving the problem in a short time. Our work is motivated by the dynamic nature of the problem, i.e., due to the continuous changes in the number of arriving flights and a short window for determining the landing schedule, the air traffic controller needs to solve the problem on a regular basis and update the landing schedule, and fast and effective algorithms are therefore paramount. By solving two sets of 124 benchmark instances we demonstrate that we fulfill this aim and that the proposed algorithm obtains satisfactory solutions in a short amount of time.
Khatami, M, Salehipour, A & Hwang, FJ 2019, 'Makespan minimization for the m-machine ordered flow shop scheduling problem', Computers & Operations Research, vol. 111, pp. 400-414.View/Download from: Publisher's site
Bailey, DH, Borwein, JM, Salehipour, A & López de Prado, M 2018, 'Evaluation and ranking of market forecasters', Journal of Investment Management, vol. 16, no. 2, pp. 47-64.
Many investors rely on market experts and forecasters when making investment decisions, such as when to buy or sell securities. Ranking and grading market forecasters provides investors with metrics on which they may choose forecasters with the best record of accuracy for their particular market exposure. This study develops a novel ranking methodology to rank the market forecaster. In particular, we distinguish forecasts by their specificity, rather than considering all predictions and forecasts equally important, and we also analyze the impact of the number of forecasts made by a particular forecaster.We have applied our methodology on a dataset including 6627 forecasts made by 68 forecasters.
Nazari, S, Fallah, M, Kazemipoor, H & Salehipour, A 2018, 'A fuzzy inference- fuzzy analytic hierarchy process-based clinical decision support system for diagnosis of heart diseases', Expert Systems with Applications, vol. 95, pp. 261-271.View/Download from: Publisher's site
© 2017 Elsevier Ltd Many organizations and institutions are implementing accurate and practical tools to accelerate decision-making process. In this regard, hospitals and healthcare centers are not exceptions, in particular, because they directly impact the health and well-being of the community. When it comes to disease diagnosis, practitioners may have different opinions, which lead to different decisions and actions. On the other hand, the amount of available information, even in a case of a typical disease is so vast that rapid and accurate decision-making may be difficult. For example, practitioners may prescribe several expensive tests in order to diagnose a heart disease whereas many of those tests might not even be required. Accordingly, a Clinical Decision Support System (CDSS) can be very helpful here. In particular, such a CDSS can be developed as an expert system for those patients who have a high likelihood of developing heart diseases. This study develops an expert system based on Fuzzy Analytic Hierarchy Process (AHP) and Fuzzy Inference System in order to evaluate the condition of patients who are being examined for heart diseases. The Fuzzy AHP is used to calculate weights for different criteria that impact developing heart diseases, and the Fuzzy Inference System is used to assess and evaluate the likelihood of developing heart diseases in a patient. The developed system has been implemented in a hospital in Tehran. The outcomes show efficiency and accuracy of the developed approach.
David H. Bailey, Borwein, JM, Salehipour, A, López de Prado, M & Zhu, QJ 2016, 'Backtest overfitting in financial markets', Automated Trader, vol. 39, no. 2, pp. 52-57.
Salehipour, A, Moslemi Naeni, L, Khanbabaei, R & Javaheri, A 2016, 'Lessons Learned from Applying the Individuals Control Charts to Monitoring Autocorrelated Project Performance Data', Journal of Construction Engineering and Management, vol. 142, no. 5.View/Download from: Publisher's site
The well-known earned value technique measures and evaluates project performance. It uncovers schedule and cost deviations from the baseline plan. However, it is not established to determine acceptable levels of deviations from the baseline. This study applies the Shewhart individuals control charts to overcome this limitation; the charts monitor trends in the project performance behavior and allow them to be detected before the project deviates much from the baseline plan. The study statistically monitors several well-known earned value indexes of a construction project, where the data are autocorrelated and nonnormally distributed. The investigated case showed that the individuals control charts enhance capability of the earned value technique. The authors concluded that implementing the developed tool together with the traditional tools noticeably improves the project controlling scheme and provides more information on project progress. The study extends a previous study in which only independent data were investigated.
Naeni, LM, Shadrokh, S & Salehipour, A 2014, 'A fuzzy approach for the earned value management (vol 29, pg 764, 2011)', INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, vol. 32, no. 4, pp. 709-716.View/Download from: Publisher's site
Naeni, LM, Shadrokh, S & Salehipour, A 2014, 'Erratum to 'A fuzzy approach for the earned value management' [Int. J. Proj. Manag. 29 (2011) 764-772]', International Journal of Project Management, vol. 32, no. 4, p. 717.View/Download from: Publisher's site
Salehipour, A & Sepehri, MM 2014, 'Optimal location of workstations in tandem automated-guided vehicle systems', INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol. 72, no. 9-12, pp. 1429-1438.View/Download from: Publisher's site
Aliverdi, R, Naeni, LM & Salehipour, A 2013, 'Monitoring project duration and cost in a construction project by applying statistical quality control charts', INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, vol. 31, no. 3, pp. 411-423.View/Download from: Publisher's site
Salehipour, A, Modarres, M & Naeni, LM 2013, 'An efficient hybrid meta-heuristic for aircraft landing problem', COMPUTERS & OPERATIONS RESEARCH, vol. 40, no. 1, pp. 207-213.View/Download from: Publisher's site
Aini, A & Salehipour, A 2012, 'Speeding up the Floyd-Warshall algorithm for the cycled shortest path problem', APPLIED MATHEMATICS LETTERS, vol. 25, no. 1, pp. 1-5.View/Download from: Publisher's site
Akbari, AA & Salehipour, A 2012, 'Statistical control of project cost and schedule Indexes', Journal of Industrial Management Studies, vol. 10, no. 27, pp. 139-139.
Nabovati, H & Salehipour, A 2012, 'Monitoring preventive maintenance performance in automobile industry', ournal of Management Studies in Development and Evolution, vol. 21, no. 68, pp. 135-135.
Salehipour, A & Modarres, M 2012, 'A variable neighborhood descent metaheuristic for aircraft landing problem', Sharif Journal of Industrial Engineering and Management, vol. 28, no. 2, pp. 27-32.
Salehipour, A & Sepehri, MM 2012, 'A new mathematical formulation for the traveling repairman problem based on the mixed integer programming formulation', nternational Journal of Industrial Engineering and Production Management, vol. 23, no. 3, pp. 283-292.
Salehipour, A & Sepehri, MM 2012, 'Exact and heuristic solutions to minimize total waiting time in the blood products distribution problem', Advances in Operations Research, vol. 2012.View/Download from: Publisher's site
This paper presents a novel application of operations research to support decision making in blood distribution management. The rapid and dynamic increasing demand, criticality of the product, storage, handling, and distribution requirements, and the different geographical locations of hospitals and medical centers have made blood distribution a complex and important problem. In this study, a real blood distribution problem containing 24 hospitals was tackled by the authors, and an exact approach was presented. The objective of the problem is to distribute blood and its products among hospitals and medical centers such that the total waiting time of those requiring the product is minimized. Following the exact solution, a hybrid heuristic algorithm is proposed. Computational experiments showed the optimal solutions could be obtained for medium size instances, while for larger instances the proposed hybrid heuristic is very competitive. Copyright © 2012 Amir Salehipour and Mohammad Mehdi Sepehri.
Aini, A & Salehipour, A 2011, 'An algorithm for the cycled shortest path problem', ournal of Industrial Management Studies, vol. 8, no. 21, pp. 167-167.
Naeni, LM & Salehipour, A 2011, 'Evaluating fuzzy earned value indices and estimates by applying alpha cuts', EXPERT SYSTEMS WITH APPLICATIONS, vol. 38, no. 7, pp. 8193-8198.View/Download from: Publisher's site
Naeni, LM, Shadrokh, S & Salehipour, A 2011, 'A fuzzy approach for the earned value management', INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, vol. 29, no. 6, pp. 764-772.View/Download from: Publisher's site
Salehipour A, Kazemipoor H & Moslemi Naeni, L 2011, 'Locating workstations in tandem automated guided vehicle systems', The International Journal of Advanced Manufacturing Technology.View/Download from: Publisher's site
This paper presents a new solution framework to locate the workstations in the tandem automated guided vehicle (AGV) systems. So far, the research has focused on minimizing the total flow or minimizing the total AGV transitions in each zone. In this paper, we focus on minimizing total cumulative flow among workstations. This objective allocates workstations to an AGV route such that total waiting time of workstations to be supplied by the AGV is minimized. We develop a property which simplifies the available mathematical formulation of the problem. We also develop a heuristic algorithm for the problem. Computational results show that our heuristic could yield very high-quality solutions and in many cases optimal solutions.
Salehipour, A, Sorensen, K, Goos, P & Braysy, O 2011, 'Efficient GRASP plus VND and GRASP plus VNS metaheuristics for the traveling repairman problem', 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, vol. 9, no. 2, pp. 189-209.View/Download from: Publisher's site
Sheibani, K, Vahedian, A, Salehipour, A & Paydar, MM 2011, 'Evaluation of the quality of postal services using continuous testing of transmission times for postal item: a case study in the post company of IR of Iran', Journal of Management Studies in Development and Evolution, vol. 20, no. 61, pp. 147-165.
Salehipour, A, Moslemi Naeni, L & Kazemipour, H 2009, 'Scheduling aircraft landings by applying a variable neighborhood descent algorithm: Runway-dependent landing time case', International Journal of Applied Operational Research.
Kazemipoor, H, Tavakkoli-Moghaddam, R, Aryanezhad, MB & Salehipour, A 2008, 'A mathematical model for partitioning machines into groups for using in tandem AGVs systems based on balanced flow strategy', Sharif Journal of Industrial Engineering and Management, vol. 24, no. 45, pp. 13-21.
Tavakkoli-Moghaddam, R, Aryanezhad, MB, Kazemipoor, H & Salehipour, A 2008, 'A threshold accepting algorithm for partitioning machines in a tandem automated guided vehicle', IUST International Journal of Engineering Science, vol. 19, no. 1-2, pp. 33-42.
Tavakkoli-Moghaddam, R, Aryanezhad, MB, Kazemipoor, H & Salehipour, A 2008, 'Partitioning machines in tandem AGV systems based on "balanced flow strategy" by simulated annealing', INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol. 38, no. 3-4, pp. 355-366.View/Download from: Publisher's site
Bailey, DH, Borwein, JM, Salehipour, A & López de Prado, M 2020, 'Do financial gurus produce reliable forecasts?', Springer Proceedings in Mathematics and Statistics, pp. 255-274.View/Download from: Publisher's site
© Springer Nature Switzerland AG 2020. Many investors rely on market experts and forecasters when making investment decisions, such as when to buy or sell securities. Ranking and grading market forecasters provide investors with metrics on which they may choose forecasters with the best record of accuracy for their particular market exposure. This study develops a novel ranking methodology to rank the market forecaster. In particular, we distinguish forecasts by their specificity, rather than considering all predictions and forecasts equally important, and we also analyze the impact of the number of forecasts made by a particular forecaster. We have applied our methodology on a dataset including 6,627 forecasts made by 68 forecasters.
Naeni, LM & Salehipour, A 2019, 'A New Mathematical Model for the Traveling Repairman Problem', IEEE International Conference on Industrial Engineering and Engineering Management, IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, Macao, Macao, pp. 1384-1387.View/Download from: Publisher's site
© 2019 IEEE. We propose a new mixed-integer program for the traveling repairman problem (TRP). The model benefits from the position-based variables. We aim to utilize only available solvers for optimizing the model. We test the proposed model by solving 70 randomly generated instances, ranging from 10 to 50 vertices, from the literature by CPLEX, and comparing its solutions with those of available models from the literature. We show that our model delivers the largest number of best solutions and that in a shorter time.
Naeni, LM & Salehipour, A 2019, 'Investigating a Breast Cancer Gene Expression Data Using a Novel Clustering Approach', IEEE International Conference on Industrial Engineering and Engineering Management, IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, Macao, Macao, pp. 1038-1042.View/Download from: Publisher's site
© 2019 IEEE. Historically, breast cancer has been perceived as a disease with varying histological and clinical features. Breast cancer tumor classification is important in disease prognosis and prediction because different breast tumors respond differently to different treatments and have different survival rates. Gene expression profiling studies have increasingly been motivated in the past decades to develop a good classification of breast cancer in molecular subtypes, which can improve the standard clinical assessments by providing extra prognostic information. In this research, one of the most comprehensive breast cancer gene expression datasets is analyzed by applying a novel clustering approach to predict the breast cancer subtypes. The novel unsupervised clustering approach initially model the gene expression data as a network and employ a community detection method to identify network clusters. This method utilizes an efficient problem specific metaheuristic algorithm to optimize the modularity value and identify clusters of breast cancer samples with similar characteristics that presents different subtypes of breast cancer. To assess the significant of the newly defined breast cancer subtypes, we compared our findings with three breast cancer subtyping methods.
© Springer Nature Switzerland AG 2020. The set k-cover problem (SkCP) is an extension of the classical set cover problem (SCP), in which each row needs to be covered by at least k columns while the coverage cost is minimized. The case of k = 1 refers to the classical SCP. SkCP has many applications including in computational biology. We develop a simple and effective heuristic for both weighted and unweighted SkCP. In the weighted SkCP, there is a cost associated with a column and in the unweighted variant, all columns have the identical cost. The proposed heuristic first generates a lower bound and then builds a feasible solution from the lower bound. We improve the feasible solution through several procedures including a removal local search. We consider three different values for k and test the heuristic on 45 benchmark instances of SCP from OR library. Therefore, we solve 135 instances. Over the solved instances, we show that our proposed heuristic obtains quality solutions.
Salehipour, A & Oron, D 2018, 'Efficient and simple heuristics for the Aircraft Landing Problem', Matheuristic 2018, Tours, France.
Zhou, A, Salehipour, A & Hwang, FJ 2018, 'Robust single machine scheduling with uncertain interval processing times for minimising weighted completion time', The 29th European Conference on Operational Research, Valencia.
Single-machine scheduling is a classical combinatorial optimisation problem that has been widely addressed in literature. Considering the minimisation of the total weighted completion time with deterministic job processing times, the WSPT dispatching priority rule can simply yield the optimal solution. This study copes with the case of uncertain job processing times bound by the preassigned intervals, of which the processing time of each job could take any value between its corresponding lower and upper bounds. The objective is to minimise the maximum regret for any scenario generated within an instance. Given a set of jobs, an instance refers to the generation of the intervals of processing times and weights for jobs, whilst a scenario stands for the realisation of the job processing times generated within the intervals. Four heuristic algorithms utilising the lower and upper bounds are proposed in this paper. We develop the first heuristic with a pessimistic sense by considering only the upper bound, whilst the second one takes the optimistic approach using only the lower bound. The interval length is taken into account in the third heuristic, and the fourth one considers the position of the midpoint in relation to the mean of the midpoint of other jobs. We generated the instances by utilising an instance generation method available in the literature. The performance comparisons of the proposed algorithms in terms of the effectiveness and efficiency are then provided.
Salehipour, A 2017, 'A heuristic algorithm for the Aircraft Landing Problem', MODSIM2017, 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2017, 22nd International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), Hobart, Tasmania.
Salehipour, A 2016, 'An optimization approach towards selecting features in biological datasets', 24th National Conference of the Australian Society for Operations Research, Canberra.
Salehipour, A 2016, 'Tight lower bounds and a hybrid heuristic for a problem of selecting features', EURO 2016 International Conference, Poznan,.
Salehipour, A, Boland, N, Savelsbergh, M & Ernst, A 2015, 'Dynamic blend optimization', ASOR Recent Advances 2015.
Salehipour, A & Nabovatti, H 2012, 'Benefiting from control charts in monitoring performance indexes: A case study in construction projects', National Conference on Industrial Engineering, Tehran.
Salehipour, A & Nabovatti, H 2012, 'Monitoring preventive maintenance indices', 7th National Conference on Maintenance, Tehran.
Salehipour, A, Shahnazari, P & Kazemipoor, H 2009, 'Studying the deployment of project management office in project-based organizations', 5th International Conference on Project Management, Tehran.
Dullaert, W, Bräysy, O & Salehipour, A 2007, 'Estimating the cost-to-serve of customers in vehicle routing problems', EuroGen, Jyväskylä.
Dullaert, W, Bräysy, O & Salehipour, A 2007, 'The cost of scheduling customers in routing problems', NECTAR., Lund.
Salehipour, A, Goos, P & Sorensen, K 2007, 'A heuristic algorithm for the traveling repairman problem', ORBEL 21, Luxembourg.
Salehipour, A, Goos, P, Sorensen, K & Braysy, O 2007, 'A hybrid heuristic for the traveling repairman problem', EuroGen 2007, Jyvaskala, Finland.
Jabal Ameli, MS & Salehipour, A 2004, 'The interaction model of value engineering and bench marking', 3rd International Conference on Industrial Engineering, Tehran.
Salehipour, A 2004, 'The synergy and interaction between six sigma, lean and value methodology', 33rd International Conference on Computer and Industrial Engineering, Jeju.
- Business School, UTS
- Business School, The University of Sydney, Sydney
- College of Business, RMIT University, Melbourne
- Department of Mathematical Information Technology, University of Jyväskylä, Finland
- Department of Engineering Management, University of Antwerp, Belgium
- Department of Management and Economics, Sharif University of Technology
- Department of Industrial Engineering, Sharif University of Technology
- School of Industrial & Systems Engineering, Tarbiat Modares University
- Department of Industrial Engineering, Azad University
- Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, USA
- Department of Computer Science, University of California, Davis, USA
- Department of Engineering and Computer Science, Virginia State University, USA