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Tasnim Ibn Faiz (Assoc)
Professional Research Experience Program (PREP) Postdoctoral Associate
Dr. Tasnim Ibn Faiz is a Professional Research Experience Program (PREP) Postdoctoral Associate in the Community Resilience group working on the ‘Development of a First-Generation Community-Resilience Systems Model’ project. He also works on the infrastructure recovery project of the NIST Hurricane Maria Research Investigation.
Dr. Faiz’s research focuses on developing decision-making frameworks for mitigation and recovery planning to improve community resilience against hazards. Utilizing systems engineering and operations research approaches, Dr. Faiz constructs mathematical models to translate the interdependencies among a community’s built environment and social system components and frame the hazard mitigation and recovery planning challenges as optimization problems to achieve competing and often conflicting resilience goals. The models form the underlying foundation of the NIST ARC, a decision-support tool for community resilience planning. His research interests also include uncertainty quantification, risk modeling, stochastic and robust optimization, decomposition algorithms, and climate resilience.
Dr. Faiz earned his Ph.D. in Industrial Engineering from Northeastern University. He received an M.S. in Industrial Engineering from Louisiana State University and a B.S. in Industrial Engineering from Bangladesh University of Engineering and Technology.
selected publications
Faiz, T. I., & Harrison, K. W. (2024). A Risk-Averse Stochastic Optimization Model for Community Resilience Planning. Socio-Economic Planning Sciences (accepted for publication).
Faiz, T. I., Vogiatzis, C., & Noor-E-Alam, M. (2024). Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations. Expert Systems with Applications, 237, 121473.
Hasan, M. M., Faiz, T. I., Modestino, A. S., Young, G. J., & Noor-E-Alam, M. (2023). Optimizing return and secure disposal of prescription opioids to reduce the diversion to secondary users and black market. Socio-Economic Planning Sciences, 86, 101457.
Al-Lawati, R. A., Crespo-Vazquez, J. L., Faiz, T. I., Fang, X., & Noor-E-Alam, M. (2021). Two-stage stochastic optimization frameworks to aid in decision-making under uncertainty for variable resource generators participating in a sequential energy market. Applied Energy, 292, 116882.
Jiang, D., Hasan, M. M., Faiz, T. I., & Noor‐E‐Alam, M. (2020). A possibility distribution‐based multicriteria decision algorithm for resilient supplier selection problems. Journal of Multi‐Criteria Decision Analysis, 27(3-4), 203-223.
Ouyang, R., Faiz, T. I., & Noor-E-Alam, M. (2020). Location-allocation models for healthcare facilities with long-term demand. International Journal of Operational Research, 38(3), 295-320.
Faiz, T. I., Vogiatzis, C., & Noor-E-Alam, M. (2019). A column generation algorithm for vehicle scheduling and routing problems. Computers & Industrial Engineering, 130, 222-236.
Faiz, T. I., & Noor-E-Alam, M. (2019). Data center supply chain configuration design: a two-stage decision approach. Socio-Economic Planning Sciences, 66, 119-135.
Sarker, B. R., & Faiz, T. I. (2017). Minimizing transportation and installation costs for turbines in offshore wind farms. Renewable Energy, 101, 667-679.
Sarker, B. R., & Faiz, T. I. (2016). Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy. Renewable energy, 85, 104-113.