S Mohammad Hosseinian

Assistant Professor

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

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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

https://smhosseinian.github.io/

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
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
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
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
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
A Lagrangian Bound on the Clique Number and an Exact Algorithm for the Maximum Edge Weight Clique Problem
Hosseinian, S., Fontes, D. B. M. M., & Butenko, S. (2020), INFORMS Journal on Computing, 32(3), 747–762. https://doi.org/10.1287/ijoc.2019.0898
Algorithms for the generalized independent set problem based on a quadratic optimization approach
Hosseinian, S., & Butenko, S. (2019), Optimization Letters, 13(6), 1211–1222. https://doi.org/10.1007/s11590-019-01418-9
A nonconvex quadratic optimization approach to the maximum edge weight clique problem
Hosseinian, S., Fontes, D. B. M. M., & Butenko, S. (2018), Journal of Global Optimization, 72(2), 219–240. https://doi.org/10.1007/s10898-018-0630-5

View all publications via NC State Libraries

S Mohammad Hosseinian