| Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty M Zhalechian, R Tavakkoli-Moghaddam, B Zahiri, M Mohammadi Transportation Research Part E: Logistics and Transportation Review 89, 182-214, 2016 | 447 | 2016 |
| Hub-and-spoke network design under operational and disruption risks M Zhalechian, SA Torabi, M Mohammadi Transportation Research Part E: Logistics and Transportation Review 109, 20-43, 2018 | 130 | 2018 |
| A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility M Zhalechian, R Tavakkoli-Moghaddam, Y Rahimi Engineering Applications of Artificial Intelligence 62, 1-16, 2017 | 94 | 2017 |
| An interactive possibilistic programming approach for a multi-objective hub location problem: Economic and environmental design M Zhalechian, R Tavakkoli-Moghaddam, Y Rahimi, F Jolai Applied Soft Computing 52, 699-713, 2017 | 79 | 2017 |
| Operating room scheduling by considering the decision-making styles of surgical team members: a comprehensive approach M Hamid, MM Nasiri, F Werner, F Sheikhahmadi, M Zhalechian Computers & Operations Research 108, 166-181, 2019 | 76 | 2019 |
| A robust possibilistic programming approach to multiperiod hospital evacuation planning problem under uncertainty M Rabbani, M Zhalechian, A Farshbaf‐Geranmayeh International Transactions in Operational Research 25 (1), 157-189, 2018 | 63 | 2018 |
| Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making E Keyvanshokooh, M Zhalechian, C Shi, MP Van Oyen, P Kazemian Available at SSRN 3501316, 2019 | 14* | 2019 |
| Online resource allocation with personalized learning M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen Operations Research 70 (4), 2138-2161, 2022 | 13 | 2022 |
| Data-Driven Hospital Admission Control: A Learning Approach M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen Operations Research, 2023 | 10 | 2023 |
| Data-Driven Hospital Admission Control: A Learning Approach M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen Available at SSRN, 2020 | 6* | 2020 |
| Augmenting Kalman Filter Machine Learning Models with Data from OCT to Predict Future Visual Field Loss: An Analysis Using Data from the African Descent and Glaucoma Evaluation … M Zhalechian, MP Van Oyen, MS Lavieri, CG De Moraes, CA Girkin, ... Ophthalmology Science 2 (1), 100097, 2022 | 3 | 2022 |
| A bi-objective p-hub location problem with a queue system and transportation modes M Zhalechian, R Tavakkoli-Moghaddam, Y Rahimi Proceedings of the 45 International Conference on Computers and Industrial …, 2015 | 3 | 2015 |
| Dynamic Care Unit Placements Under Unknown Demand with Learning A Dean, M Zhalechian, MPV Oyen Available on SSRN, 2022 | 1 | 2022 |
| Learning Bundle Pricing of Reusable Resources A Dean, M Zhalechian, C Shi Available at SSRN, 2024 | | 2024 |
| Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy M Zhalechian, S Saghafian, O Robles Available at SSRN 4863134, 2024 | | 2024 |
| Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma--Enhancing Existing Models Using Data from Optical Coherence … M Zhalechian, MP Van Oyen, MS Lavieri, CG De Moraes, CA Girkin, ... Investigative Ophthalmology & Visual Science 61 (7), 1986-1986, 2020 | | 2020 |
| Online Resource Allocation with Personalized Learning M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen Available at SSRN, 2020 | | 2020 |
