The Department of Civil and Systems Engineering
and
Advisor Kimia Ghobadi, Assistant Professor
Announce the Thesis Defense of
Farzin Ahmadi
Tuesday, January 14
1:30 pm
In person: Maryland Hall, Rm 202
Virtual: Contact Elena Shichkova for connection information
“INVERSE OPTIMIZATION METHODS FOR PERSONALIZED MEDICAL DECISION-MAKING AND TREATMENT PLANNING”
This dissertation presents a comprehensive exploration of inverse optimization methods, emphasizing their theoretical advancements and practical applications in healthcare, particularly in precision nutrition and radiation therapy. Inverse optimization has emerged as a powerful framework for learning underlying decision-making processes from observed data, but challenges such as handling noisy observations, balancing expert-driven constraints, and addressing diverse problem settings remain unresolved. This work addresses these gaps by introducing novel methodologies that bridge theoretical innovation with practical utility.