S Mohammad Hosseinian
Assistant Professor
- Phone: 919.515.5194
- Email: hosseinian@ncsu.edu
- Office: Fitts-Woolard Hall 4111
- Website: https://smhosseinian.github.io/
S. Mohammad Hosseinian is an assistant professor in the Edward P. Fitts Department of Industrial and Systems Engineering. He earned his Ph.D. in Industrial Engineering from Texas A&M University in 2021. Following his doctoral studies, he worked as a postdoctoral researcher in the Department of Computational Applied Mathematics and Operations Research at Rice University, with a concurrent appointment in the Department of Radiation Oncology at MD Anderson Cancer Center. Before joining NC State, he was an Assistant Professor of Industrial and Systems Engineering at the University of Cincinnati, where he was also an Associate Research Member of the University of Cincinnati Cancer Center.
Research Interests
Hosseinian’s primary research interests include the theory and computational aspects of optimization methodologies and their applications in healthcare/medical decision-making.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Industrial Engineering | Texas A&M University | |
| MS | Civil Engineering | Amirkabir University of Technology | |
| BS | Civil Engineering | Amirkabir University of Technology |
Awards and Honors
- 2022 | 2nd Place, Pritsker Doctoral Dissertation Award, Institute of Industrial and Systems Engineers
- 2021 | Outstanding Engineering Doctoral Student Award, Texas A&M University
- 2019 | College of Engineering Teaching Fellowship Award, Texas A&M University
Personal Website
Publications
- Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
- Hosseinian, S., Hemmati, M., Dede, C., Salzillo, T. C., Dijk, L. V., Mohamed, A. S. R., … Fuller, C. D. (2024), International Journal of Radiation Oncology*Biology*Physics. https://doi.org/10.1016/j.ijrobp.2024.02.021
- Cost-Effectiveness of Personalized Policies for Implementing Organ-at-Risk Sparing Adaptive Radiation Therapy in Head and Neck Cancer: A Markov Decision Process Approach
- Hosseinian, S., Suarez-Aguirre, D., Dede, C., Garcia, R., McCullum, L., Hemmati, M., … Schaefer, A. J. (2024, November 5). , . https://doi.org/10.1101/2024.11.05.24316767
- Markov models for clinical decision‐making in radiation oncology: A systematic review
- McCullum, L. B., Karagoz, A., Dede, C., Garcia, R., Nosrat, F., Hemmati, M., … Fuller, C. D. (2024), Journal of Medical Imaging and Radiation Oncology. https://doi.org/10.1111/1754-9485.13656
- Strategy investments in zero-sum games
- Garcia, R., Hosseinian, S., Pai, M., & Schaefer, A. J. (2024), Optimization Letters. https://doi.org/10.1007/s11590-024-02130-z
- Variable-Interval Temporal Feathering to Optimize Organ-at-Risk Repair for Head and Neck Adaptive Radiotherapy
- Karagoz, A., Hemmati, M., Nosrat, F., Mavroidis, P., Dede, C., McCullum, L. B., … Fuller, C. D. (2024, November 8). , . https://doi.org/10.1101/2024.11.07.24316948
- Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
- Hosseinian, S., Hemmati, M., Dede, C., Salzillo, T. C., Dijk, L. V., Mohamed, A. S. R., … Fuller, C. D. (2023, March 29). , . https://doi.org/10.1101/2023.03.24.23287710
- Code and Data Repository for Combination Chemotherapy Optimization with Discrete Dosing
- Ajayi, T., Hosseinian, S., Schaefer, A. J., & Fuller, C. D. (2023), INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2022.0207.cd
- Combination Chemotherapy Optimization with Discrete Dosing
- Ajayi, T., Hosseinian, S., Schaefer, A. J., & Fuller, C. D. (2024), INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2022.0207
- An improved approximation for Maximum k-dependent Set on bipartite graphs
- Hosseinian, S., & Butenko, S. (2022), Discrete Applied Mathematics. https://doi.org/10.1016/j.dam.2021.10.015
- Polyhedral properties of the induced cluster subgraphs
- Hosseinian, S., & Butenko, S. (2021), Discrete Applied Mathematics. https://doi.org/10.1016/j.dam.2021.02.040
