21 citations · 65 across the 21 of their papers we have counts for
13 papers · 1 filter
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…
Two-Stage Stochastic Optimization Frameworks to Aid in Decision-Making Under Uncertainty for Variable Resource Generators Participating in a Sequential Energy Market
Razan A. H. Al-Lawati, Jose L. Crespo-Vazquez, Tasnim Ibn Faiz +2
Decisions for a variable renewable resource generators commitment in the energy market are typically made in advance when little information is obtainable about wind availability a…
A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference
Md Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam
Identifying cause-effect relations among variables is a key step in the decision-making process. While causal inference requires randomized experiments, researchers and policymaker…
Heavy Ball Momentum Induced Sampling Kaczmarz Motzkin Methods for Linear Feasibility Problems
Md Sarowar Morshed, Md. Noor-E-Alam
The recently proposed Sampling Kaczmarz Motzkin (SKM) algorithm performs well in comparison with the state-of-the-art methods in solving large-scale Linear Feasibility (LF) problem…
Sampling Kaczmarz Motzkin Method for Linear Feasibility Problems: Generalization & Acceleration
Md Sarowar Morshed, Md Saiful Islam, Md. Noor-E-Alam
Randomized Kaczmarz (RK), Motzkin Method (MM) and Sampling Kaczmarz Motzkin (SKM) algorithms are commonly used iterative techniques for solving a system of linear inequalities (i.e…
Computational Approaches for Solving Two-Echelon Vehicle and UAV Routing Problems for Post-Disaster Humanitarian Operations
Tasnim Ibn Faiz, Chrysafis Vogiatzis, Md. Noor-E-Alam
Humanitarian logistics service providers have two major responsibilities immediately after a disaster: locating trapped people and routing aid to them. These difficult operations a…
Accelerated Sampling Kaczmarz Motzkin Algorithm for The Linear Feasibility Problem
Md Sarowar Morshed, Md Saiful Islam, Md. Noor-E-Alam
The Sampling Kaczmarz Motzkin (SKM) algorithm is a generalized method for solving large scale linear systems of inequalities. Having its root in the relaxation method of Agmon, Sch…
A Distance Measuring Algorithm for Location Analysis
Ruilin Ouyang, Dinghao Ma, M. S. Morshed +1
Approximating distance is one of the key challenge in a facility location problem. Several algorithms have been proposed, however, none of them focused on estimating distance betwe…
A Column Generation Algorithm for Vehicle Scheduling and Routing Problems
Tasnim Ibn Faiz, Chrysafis Vogiatzis, Md. Noor-E-Alam
During natural or anthropogenic disasters, humanitarian organizations face a series of time-sensitive tasks. One of the tasks involves picking up critical resources (e.g., first ai…
A Primal-Dual Interior Point Method for a Novel Type-2 Second Order Cone Optimization Problem
Md Sarowar Morshed, Chrysafis Vogiatzis, Md. Noor-E-Alam
In this paper, we define a new, special second order cone as a type- second order cone. We focus on the case of , which can be viewed as SOCO with an additional {\em compli…
Generalized Affine Scaling Algorithms for Linear Programming Problems
Md Sarowar Morshed, Md. Noor-E-Alam
Interior Point Methods are widely used to solve Linear Programming problems. In this work, we present two primal affine scaling algorithms to achieve faster convergence in solving…