Hasuni Shahrbabak M.S., Khedmati M., Fathi M. (2023). Multi support vector machine and image processing for diagnosis of coronary artery disease. Scientia Iranica E, DOI: 10.24200/SCI.2022.57312.5173.

Babaei A., Khedmati M., Akbari Jokar M.R. (2023). Efficient hierarchical hybrid delivery in the last mile logistics. European Journal of Industrial Engineering, DOI: 10.1504/EJIE.2023.10050962.

Miri A., Khedmati M. (2023). Development of an algorithm for Persian handwriting digits recognition based on MLP and PNN classifiers and using cluster centers. Sharif Journal of Industrial Engineering & Management, DOI: 10.24200/J65.2022.58031.2220.

Babaei A., Khedmati M., Akbari Jokar M.R., Tirkolaee E.B. (2023). An integrated decision support system to achieve sustainable development in transportation routes with traffic flow. Environmental Science and Pollution Research, 30: 60367-60382.

Babaei A., Khedmati M., Akbari Jokar M.R., Tirkolaee, E.B. (2023). Sustainable transportation planning considering traffic congestion and uncertain conditions. Expert Systems with Applications, 227: 119792.

Babaei A., Khedmati M., Akbari Jokar M.R., Tirkolaee E.B. (2023). Designing an integrated blockchain-enabled supply chain network under uncertainty. Scientific Reports, 13: 3928.

Mohammadpour S.I., Khedmati M., Hassan Zada M.J. (2023). Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data. PLOS ONE, 18(3): e0281901.

Yaseliani M., Khedmati M. (2023). Prediction of heart diseases using logistic regression and likelihood ratios. International Journal of Industrial Engineering & Production Research, 34(1): 1-15.

Babaei A., Khedmati M., Akbari Jokar M.R. (2023). A new branch and efficiency algorithm for an optimal design of the supply chain network in view of resilience, inequity and traffic congestion. Annals of Operations Research, 321: 49-78.

Babaei A., Khedmati M., Akbari Jokar M.R. (2023). A branch and efficiency algorithm to design a sustainable two-echelon supply chain network considering traffic congestion and uncertainty. Environmental Science and Pollution Research, 30: 28274-28304.

Babaei A., Khedmati M., Akbari Jokar M.R. (2023). A novel algorithm for evaluating the configurations of omni-channel distribution network considering transparency and consensus formation. International Journal of Shipping and Transport Logistics, 16(1/2): 170-193.

Babaei A., Khedmati M., Akbari Jokar M.R., Tirkolaee, E.B. (2022). Performance evaluation of omni-channel distribution network configurations considering green and transparent criteria under uncertainty. Sustainability, 14(19): 12607.

Babaei A., Khedmati M., Akbari Jokar M.R. (2022). A new model for evaluation of the passenger and freight transportation planning based on the sustainability and safety dimensions: A case study. Process Integration and Optimization for Sustainability, 6: 1201-1229.

Babaei A., Khedmati M., Akbari Jokar M.R. (2022). Evaluation of supply chain routes based on control engineering and DEA considering traffic congestion and uncertainty. International Journal of Business Performance and Supply Chain Modelling, 13(2): 139-166.

Shavandi A., Khedmati M. (2022). A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets. Expert systems with Applications, 208: 118124.

Khedmati M., Niaki S.T.A. (2022). Phase-I robust parameter estimation of simple linear profiles in multistage processes. Communications in Statistics – Simulation and Computation, 51(2): 460-485.

Sadrmomtaz N., Khedmati M., Babaei A. (2022). Evaluation of the performance of world countries' health systems in the face of covid-19 in respect of vaccination role, (in Farsi). Depiction of Health, 13(1): 33-47.

Darzi M.R.K., Khedmati M., Niaki S.T.A. (2021). Correlation Augment Naïve Bayes (CAN) algorithm: a novel Bayesian method adjusted for direct marketing. Applied Artificial Intelligence, 35(15): 2013-2036.

Babaei A., Khedmati M., Akbari Jokar M.R. (2021). Proposing a new method for transportation planning considering traffic congestion. Journal of Advances in Industrial Engineering, 55(1): 27-46.

Bahrami H., Niaki S.T.A., Khedmati M. (2021). Monitoring multivariate profiles in multistage processes. Communications in Statistics – Simulation and Computation, 50(11): 3436-3464.

Delaram J., Khedmati M. (2021). Forecasting ambient air pollutants by univariate Box-Jenkins stochastic models in Tehran. Scientia Iranica E, 28(6): 3551-3568.

Khedmati M., Babaei A. (2021). A new DEA model for ranking association rules considering the risk, resilience and decongestion factors. European Journal of Industrial Engineering, 15(4): 463-486.

Fili M., Khedmati M. (2020). Town travel time forecasting based on data mining techniques. Journal of Industrial Engineering International, 16(1): 1-13.

Khedmati M., Seifi F., Azizi M.J. (2020). Time series forecasting of Bitcoin price based on ARIMA and machine learning approaches. International Journal of Engineering, Transactions A: Basics, 33(7): 1293-1303.

Khedmati M., Azin P. (2020). An online portfolio selection algorithm using clustering approaches and considering transaction costs. Expert systems with Applications, 159: 113546.

Moazeni M., Behbahani M., Khedmati M., Niaki S.T.A. (2020). Single-replicate longitudinal data analysis in the presence of multiple instrumental measurement errors. Computers & Industrial Engineering, 141: 106301.

Darzi M.R.K., Niaki S.T.A., Khedmati M. (2019). Binary classification of imbalanced datasets: The case of COIL challenge 2000. Expert systems with Applications, 128: 169-186.

Khedmati M., Ghalebsaz-Jeddi B. (2018). Three approaches to time series forecasting of petroleum demand in OECD countries. Journal of Optimization in Industrial Engineering, 11(2): 15-22.

Khedmati M., Niaki S.T.A. (2017). Phase I monitoring of general linear profiles in multistage processes. Communications in Statistics-Simulation and Computation, 46(6): 4465-4489.

Khedmati M., Niaki S.T.A. (2016). Monitoring simple linear profiles in multistage processes by a MaxEWMA control chart. Computers & Industrial Engineering, 98: 125-143.

Khedmati M., Niaki S.T.A. (2016). A new control scheme for phase II monitoring of simple linear profiles in multistage processes. Quality and Reliability Engineering International, 32(7): 2559–2571.

Khedmati M., Niaki S.T.A. (2016). Phase II monitoring of general linear profiles in the presence of between profile autocorrelation. Quality and Reliability Engineering International, 32(2): 443-452.

Niaki S.T.A., Khedmati M., Soleymanian M.E. (2015). Statistical monitoring of autocorrelated simple linear profiles based on principal components analysis. Communications in Statistics-Theory and Methods, 44: 4454-4475.

Khedmati M., Niaki S.T.A. (2015). Identifying the time of a step change in AR(1) autocorrelated simple linear profiles. Journal of Industrial Engineering International, 11(4): 473-484.

Shavandi H., Valizadeh-Khaki S., Khedmati M. (2015). Parallel importation and price competition in a duopoly supply chain. International Journal of Production Research, 53(10): 3104-3119.

Niaki S.T.A., Khedmati M. (2014). Change point estimation of high-yield processes experiencing monotonic disturbances. Computers & Industrial Engineering, 67: 82-92.

Niaki S.T.A., Khedmati M. (2014). Monotonic change point estimation of multivariate Poisson processes using a multi-attribute control chart and MLE. International Journal of Production Research, 52(10): 2954-2982.

Niaki S.T.A., Khedmati M. (2014). Step change-point estimation of multivariate binomial processes. International Journal of Quality & Reliability Management, 31(5): 566-587.

Niaki S.T.A., Khedmati M. (2013). Change point estimation of high-yield processes with a linear trend disturbance. International Journal of Advanced Manufacturing Technology, 69(1-4): 491-497.

Keramatpour M., Niaki S.T.A., Khedmati M., Soleymanian M.E. (2013). Monitoring and change point estimation of AR (1) autocorrelated polynomial profiles. International Journal of Engineering, Transactions C: Aspects, 26(9): 933-942.

Soleymanian M.E., Khedmati M., Mahlooji H. (2013). Phase II monitoring of binary response profiles. Scientia Iranica E, 20(6): 2238-2246.

Niaki S.T.A., Khedmati M. (2013). Identifying the change time of multivariate binomial processes for step changes and drifts. Journal of Industrial Engineering International, 9(3): 1-11.

Niaki S.T.A., Khedmati M. (2013). Estimating the change point of the parameter vector of multivariate Poisson processes monitored by a multi-attribute T2 control chart. International Journal of Advanced Manufacturing Technology, 64(9-12): 1625-1642.

Niaki S.T.A., Khedmati M. (2012). Detecting and estimating the time of a step-change in multivariate Poisson processes. Scientia Iranica E, 19(3): 862-871.

Mohammadpour S.I., Khedmati M. (2021). Forecasting the road traffic fatality rate in US based on autoregressive integrated moving average models. 14th International Conference of Iranian Operations Research Society, Mashhad, Iran.

Babaei A., Khedmati M., Akbari Jokar M.R. (2021). Development of a multi-objective data-oriented approach for evaluating the sustainabiliity of road transportation (Case staudy: European Union member states). 18th International Conference on Industrial Engineering, Tehran, Iran.

Babaei A., Hatamimarbini A., Khedmati M., Akbari Jokar M.R. (2021). Cooperation among supply chain agents ‒ A novel use of inventory models in DEA. 12th (virtual) North American Productivity Workshop, Miami, USA.

Mohammadi H., Khedmati M., Moazeni M. (2021). Bitcoin world price forecasting: time series analysis and machine learning approach. International Conference on Industrial Engineering and Operations Management, Rome, Italy.

Bakhoda A., Rafiee M., Khedmati M. (2021). Predicting the winning team in football matches using data mining techniques. 6th International Conference on Sustainable Development Techniques in Industrial Management and Engineering with the Approach of Recognizing Permanent Challenges, Tehran, Iran.

Miri A., Khedmati M. (2021). Evaluating improvement in the recognition rate of Persian handwriting digits by deterministic and non-deterministic clustering approaches. 2nd International Conference on Challenges and New Solutions in Industrial Engineering, Management and Accounting, Damghan, Iran.

Hasuni Shahrbabak M.S., Khedmati M., Forouzan Nia K. (2019). Prognosis and diagnosis of coronary artery disease by multi support vector machine. The 1st International Conference on Data Analysis: New Trends in Logistics and Supply Chain, Qazvin, Iran.

Parhizkari A., Khedmati M. (2019). Investigating and analyzing the performance of time series forecasting models. National Conference on Industrial Engineering and Management, Isfahan, Iran.

Fili M., Farhad Khani M., Khedmati M., Rafiee M. (2018). Estimating the wind speed in diferent time spans by ARIMA model. 5th Iran Wind Energy Conference, Tehran, Iran.

Khedmati M., Azizi M.J., Niaki S.T.A. (2017). Phase I monitoring of simple linear profiles in multistage processes in the presence of outliers. 14th international industrial engineering conference, Tehran, Iran.

Niaki S.T.A., Khedmati M. (2016). Sample size effect recognition in phase-I simple linear profile monitoring. In Proceedings of the 12th International Industrial Engineering Conference, Kharazmi University, Tehran, Iran.

Noorossana R., Khedmati M. (2012). Improving copper output in Sar-cheshmeh copper mine by simulation. The First International Quality Engineering Conference, Tehran, Iran.

Niaki S.T.A., Khedmati M. (2011). Change point estimation in multi-attribute processes. In Proceedings of the IEEE International Conference of Quality and Reliability, Bangkok, Thailand.

Haddad H.R., Khedmati M., Babaei M.H. (2009). Proposing a heuristic for minimizing the makespan based on simulated annealing. 5th International Project Management Conference, Tehran, Iran.