19 citations · 20 across the 6 of their papers we have counts for
6 papers
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
Inverse optimization seeks to recover unknown objective parameters from observed decisions, yet fundamental questions about when recovery is possible have received limited formal t…
Improving Observed Decisions Quality using Inverse Optimization: A Radiation Therapy Treatment Planning Application
Farzin Ahmadi, Todd R. McNutt, Kimia Ghobadi
In many applied optimization settings, parameters that define the constraints may not guarantee the best possible solution, and superior solutions might exist that are infeasible f…
You Are What You Eat: A Preference-Aware Inverse Optimization Approach
Farzin Ahmadi, Tinglong Dai, Kimia Ghobadi
A key challenge in the emerging field of precision nutrition entails providing diet recommendations that reflect both the (often unknown) dietary preferences of different patient g…
Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19
Felix Parker, Hamilton Sawczuk, Fardin Ganjkhanloo +2
When facing an extreme stressor, such as the COVID-19 pandemic, healthcare systems typically respond reactively by creating surge capacity at facilities that are at or approaching…
Inverse Learning: Solving Partially Known Models Using Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
We consider the problem of learning optimal solutions of a partially known linear optimization problem and recovering its underlying cost function where a set of past decisions and…
An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
Linear constrained optimization techniques have been applied to many real-world settings. In recent years, inferring the unknown parameters and functions inside an optimization mod…