19 citations · 20 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…