75 citations · 209 across the 9 of their papers we have counts for
10 papers
Optimization under Connected Uncertainty
Omid Nohadani, Kartikey Sharma
Robust optimization methods have shown practical advantages in a wide range of decision-making applications under uncertainty. Recently, their efficacy has been extended to multi-p…
Uncertain Data Envelopment Analysis: Box Uncertainty
Emma Stubington, Matthias Ehrgott, Omid Nohadani
Data Envelopment Analysis (DEA) is a nonparametric, data driven technique used to perform relative performance analysis among a group of comparable decision making units (DMUs). Ef…
From predictions to prescriptions: A data-driven response to COVID-19
Dimitris Bertsimas, Léonard Boussioux, Ryan Cory Wright +18
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a d…
Sustainable Inventory with Robust Periodic-Affine Policies and Application to Medical Supply Chains
Chaithanya Bandi, Eojin Han, Omid Nohadani
We introduce a new class of adaptive policies called periodic-affine policies, that allows a decision maker to optimally manage and control large-scale newsvendor networks in the p…
Optimization under Decision-Dependent Uncertainty
Omid Nohadani, Kartikey Sharma
The efficacy of robust optimization spans a variety of settings with uncertainties bounded in predetermined sets. In many applications, uncertainties are affected by decisions and…
Magnetic Bose glass phases of coupled antiferromagnetic dimers with site dilution
Rong Yu, Omid Nohadani, Stephan Haas +1
We numerically investigate the phase diagram of two-dimensional site-diluted coupled dimer systems in an external magnetic field. We show that this phase diagram is characterized b…