TY - JOUR A1 - Nohadani, Omid A1 - Sharma, Kartikey T1 - Optimization under Connected Uncertainty JF - INFORMS Journal on Optimization N2 - Robust optimization methods have shown practical advantages in a wide range of decision-making applications under uncertainty. Recently, their efficacy has been extended to multiperiod settings. Current approaches model uncertainty either independent of the past or in an implicit fashion by budgeting the aggregate uncertainty. In many applications, however, past realizations directly influence future uncertainties. For this class of problems, we develop a modeling framework that explicitly incorporates this dependence via connected uncertainty sets, whose parameters at each period depend on previous uncertainty realizations. To find optimal here-and-now solutions, we reformulate robust and distributionally robust constraints for popular set structures and demonstrate this modeling framework numerically on broadly applicable knapsack and portfolio-optimization problems. Y1 - 2022 U6 - https://doi.org/10.1287/ijoo.2021.0067 VL - 4 IS - 3 SP - 326 EP - 346 ER - TY - JOUR A1 - Kruser, Jacqueline M. A1 - Sharma, Kartikey A1 - Holl, Jane L. A1 - Nohadani, Omid T1 - Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study JF - Critical Care Explorations Y1 - 2023 U6 - https://doi.org/10.1097/CCE.0000000000000984 VL - 5 IS - 10 SP - p e0984 ER -