| Application of IoT technology for enhancing the consumer willingness to return E-waste for achieving circular economy: A Lagrangian relaxation approach K Govindan, F Asgari, FSN Fard, H Mina Journal of Cleaner Production 459, 142421, 2024 | 4 | 2024 |
| Financial Hedging and Risk Compression, A journey from linear regression to neural network A Shirazi, FSN Fard arXiv preprint arXiv:2305.04801, 2023 | 2 | 2023 |
| Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network F Fard, F Sadeghi Naieni Fard Remote Sensing 16 (2), 367, 2024 | 1 | 2024 |
| Production Scheduling and Customer Orders Assignment in a Three‐Level Supply Chain F Sadeghi Naieni Fard, B Naderi, AA Akbari International Scholarly Research Notices 2014 (1), 163637, 2014 | 1 | 2014 |
| A Bi-Objective Location-Routing Model for the Healthcare Waste Management in the Era of Logistics 4.0 under Uncertainty K Govindan, FSN Fard, F Asgari, S Sorooshian, H Mina International Journal of Production Economics, 109342, 2024 | | 2024 |
| Designing a resilient reverse network to manage the infectious healthcare waste under uncertainty: A stochastic optimization approach K Govindan, FSN Fard, F Asgari, S Sorooshian, H Mina Computers & Industrial Engineering, 110390, 2024 | | 2024 |
| A comprehensive bi-objective optimization model to design circular supply chain networks for sustainable electric vehicle batteries. A Meraj, T Shoa, FSN Fard, H Mina AIMS Environmental Science 11 (2), 2024 | | 2024 |
