21 citations · 65 across the 21 of their papers we have counts for
21 papers
A Nationwide Multi-Location Multi-Resource Stochastic Programming Based Energy Planning Framework
Razan A. H. Al-Lawati, Tasnim Ibn Faiz, Md. Noor-E-Alam
The global increase in energy consumption and demand has forced many countries to transition into including more diverse energy sources in their electricity market. To efficiently…
A Robust Optimization Framework for Two-Echelon Vehicle and UAV Routing for Post-Disaster Humanitarian Logistics Operations
Tasnim Ibn Faiz, Chrysafis Vogiatzis, Md. Noor-E-Alam
Providing first aid and other supplies (e.g., epi-pens, medical supplies, dry food, water) during and after a disaster is always challenging. The complexity of these operations inc…
Optimizing Return and Secure Disposal of Prescription Opioids to Reduce the Diversion to Secondary Users and Black Market
Md Mahmudul Hasan, Tasnim Ibn Faiz, Alicia Sasser Modestino +2
Opioid Use Disorder (OUD) has reached an epidemic level in the US. Diversion of unused prescription opioids to secondary users and black market significantly contributes to the abu…
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
Md Saiful Islam, Sahil Shikalgar, Md. Noor-E-Alam
A Randomized Control Trial (RCT) is considered as the gold standard for evaluating the effect of any intervention or treatment. However, its feasibility is often hindered by ethica…
Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum
Md Sarowar Morshed, Sabbir Ahmad, Md Noor-E-Alam
Recently proposed adaptive Sketch & Project (SP) methods connect several well-known projection methods such as Randomized Kaczmarz (RK), Randomized Block Kaczmarz (RBK), Motzkin Re…
Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum
Md Sarowar Morshed, Md. Noor-E-Alam
We develop two greedy sampling rules for the Sketch & Project method for solving linear feasibility problems. The proposed greedy sampling rules generalize the existing max-distanc…