S. Mohammad Hosseinian

S. Mohammad Hosseinian is an Assistant Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. He earned his Ph.D. in Industrial Engineering from Texas A&M University (2021) and held postdoctoral and faculty positions at Rice University, MD Anderson Cancer Center, and the University of Cincinnati.

• Education:
  • Ph.D., Industrial Engineering, Texas A&M University (2021)
  • M.S., Civil Engineering, Amirkabir University of Technology
  • B.S., Civil Engineering, Amirkabir University of Technology

Hosseinian's research focuses on optimization methodologies and their applications in medical decision-making, particularly for cancer treatment. His work bridges operations research, radiation oncology, and machine learning to develop computational models that improve clinical outcomes.

Recent publications highlight his contributions to adaptive radiation therapy, toxicity prediction via unsupervised machine learning, and strategic resource allocation in healthcare. Articles span journals like Physics & Imaging in Radiation Oncology and Medical Physics.

• Scientific Awards:
  • 2nd Place, Pritsker Doctoral Dissertation Award (2022)
  • Outstanding Engineering Doctoral Student Award, Texas A&M University (2021)
  • Teaching Fellowship Award, Texas A&M University (2019)

He previously served as an Assistant Professor at the University of Cincinnati, where he contributed to the University of Cincinnati Cancer Center. His research integrates mathematical modeling with clinical applications to address real-world healthcare challenges.