Omid Nohadani

Omid Nohadani is an Associate Professor at Northwestern University in the Department of Industrial Engineering and Management Sciences and holds a joint appointment in Radiation Oncology. He also serves as an Associate Professor in the Technological Institute. Previously, he was an Assistant Professor at Purdue University and held academic roles at Harvard Medical School and MIT. His research focuses on robust optimization techniques applied to healthcare systems, supply chain management, medical physics, and engineering design. He completed his Ph.D. in Physics at the University of Southern California and a postdoctoral fellowship in Operations Research at MIT.

Education:

• Ph.D. in Physics, University of Southern California (2005)
• Postdoctoral Research, Operations Research Center, MIT (2006–2010)
• Diploma in Physics, University of Bonn, Germany (2000)

Research Interests: Robust optimization methods, dynamic decision-making under uncertainty, applications in radiation therapy planning, medical supply chains, and high-performance computing. His work bridges theoretical optimization, computational methods, and real-world engineering challenges in healthcare and manufacturing.

Advising & Grants: Supervises current PhD students including Kartikey Sharma and Nastaran Shojaei. Former advisees include Arka Roy (now Assistant Professor at UT San Antonio) and Andrew Zheng (PhD student at MIT). His grants and projects focus on optimizing treatment plans in radiation oncology and robust supply chain systems.

Labs & Teams: Active in interdisciplinary teams at Northwestern’s Technological Institute and collaborates with medical institutions on healthcare optimization projects. His research group specializes in developing algorithms for medical physics and industrial engineering applications.