Md. Noor-E.-Alam

发表

A column generation algorithm for vehicle scheduling and routing problems

Md. Noor-E-Alam, Tasnim Ibn Faiz, Chrysafis Vogiatzis, 2018, Comput. Ind. Eng..

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

Md Saiful Islam, Md Mahmudul Hasan, Xiaoyi Wang, 2018, Healthcare.

Long-term patient outcomes following buprenorphine/naloxone treatment for opioid use disorder: a retrospective analysis in a commercially insured population

Md. Noor-E-Alam, M. Hasan, Gary Young, 2022, The American journal of drug and alcohol abuse.

A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market

Md. Noor-E-Alam, Jose A. Martinez-Lorenzo, E. Diaz-Dorado, 2018, Applied Energy.

Optimizing return and secure disposal of prescription opioids to reduce the diversion to secondary users and black market

Tasnim Ibn Faiz, A. Modestino, Md. Noor-E-Alam, 2022, Socio-Economic Planning Sciences.

Sampling Kaczmarz-Motzkin method for linear feasibility problems: generalization and acceleration

Md Sarowar Morshed, Md. Noor-E-Alam, Md Saiful Islam, 2020, Mathematical Programming.

Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum pdf

Md Noor-E-Alam, Md Sarowar Morshed, Sabbir Ahmad, 2020, ArXiv.

Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem

Md Sarowar Morshed, Md. Noor-E-Alam, Md Saiful Islam, 2019, Journal of Global Optimization.

Two-stage stochastic optimization frameworks to aid in decision-making under uncertainty for variable resource generators participating in a sequential energy market

Md. Noor-E-Alam, Tasnim Ibn Faiz, Xin Fang, 2021 .

A machine learning framework to predict the risk of opioid use disorder

L. Sanchez, A. Modestino, Md. Noor-E-Alam, 2021, Machine Learning with Applications.

A Robust Approach to Quantifying Uncertainty in Matching Problems of Causal Inference

C. Rudin, Md. Noor-E-Alam, Marco Morucci, 2018, INFORMS Journal on Data Science.

Hypothesis Tests That Are Robust to Choice of Matching Method

Md. Noor-E-Alam, Cynthia Rudin, Marco Morucci, 2018 .

Robust Nonparametric Testing for Causal Inference in Observational Studies

Md. Noor-E-Alam, Md. Noor-E.-Alam, 2015 .

Robust Testing for Causal Inference in Observational Studies

Md. Noor-E-Alam, Cynthia Rudin, C. Rudin, 2015 .

Resilient supplier selection in logistics 4.0 with heterogeneous information

Md. Noor-E-Alam, Md Mahmudul Hasan, A. M. M. Sharif Ullah, 2019, Expert Syst. Appl..

Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs)

Md. Noor-E-Alam, S. Fattahi, A. M. M. S. Ura, 2022, Big Data Cogn. Comput..

Relax-and-fix decomposition technique for solving large scale grid-based location problems

Md. Noor-E-Alam, John Doucette, J. Doucette, 2012, Comput. Ind. Eng..

ILP Model and Relaxation-Based Decomposition Approach for Incremental Topology Optimization in p-Cycle Networks

Md. Noor-E-Alam, John Doucette, Ahmed Zaky Kasem, 2012, J. Comput. Networks Commun..

Resilient Supplier Selection in Logistic 4.0: An integrated approach of Fuzzy Multi-Attribute Decision Making (F-MADM) and Multi-choice Goal Programming (MCGP) with Heterogeneous pdf

Md. Noor-E-Alam, A. M. M. Sharif Ullah, Md Mahmudul Hassan, 2019, ArXiv.

A Possibility Distribution Based Multi-Criteria Decision Algorithm for Resilient Supplier Selection Problems pdf

Md. Noor-E-Alam, Tasnim Ibn Faiz, Md Mahmudul Hassan, 2018, Journal of Multi-Criteria Decision Analysis.

Big data driven graphical information based fuzzy multi criteria decision making

A. M. M. Sharif Ullah, Muhammad Noor-E-Alam, Md. Noor-E-Alam, 2018, Appl. Soft Comput..

Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)

A. M. M. Sharif Ullah, Tahmina Ferdousi Lipi, Md. Ahsan Akhtar Hasin, 2011, Knowl. Based Syst..

Robust Two Echelon Vehicle and Drone Routing for Post Disaster Humanitarian Operations

Md. Noor-E-Alam, Tasnim Ibn Faiz, Chrysafis Vogiatzis, 2020 .

A Novel Big Data Analytics Framework to Predict the Risk of Opioid Use Disorder pdf

Md. Noor-E-Alam, Md Mahmudul Hasan, Gary Young, 2019, ArXiv.

A Novel Big Data Analytics Framework to Predict the Risk of Opioid Dependency

Md. Noor-E-Alam, M. Hasan, Mehul Rakeshkumar Patel, 2019 .

Reliability Centered Multi Objective Hybrid Flow Shop Scheduling

Tahmina Ferdousi Lipi, Md. Ahsan Akhtar Hasin, Muhammad Noor-E-Alam, 2009, Asia Pac. J. Oper. Res..

Solving large-scale fixed cost integer linear programming models for grid-based location problems with heuristic techniques

J. Doucette, Md. Noor-E-Alam, Md. Noor-E.-Alam, 2015 .

A machine learning based two-stage clinical decision support system for predicting patients’ discontinuation from opioid use disorder treatment: retrospective observational study

S. Weiner, Md. Noor-E-Alam, M. Hasan, 2021, BMC Medical Informatics and Decision Making.

Patterns of patient discontinuation from buprenorphine/naloxone treatment for opioid use disorder: A study of a commercially insured population in Massachusetts.

A. Modestino, Md. Noor-E-Alam, Alyssa M. Peckham, 2021, Journal of substance abuse treatment.

Generalized affine scaling algorithms for linear programming problems

Md. Noor-E.-Alam, M. Morshed, 2018, Comput. Oper. Res..

An application of infinite horizon stochastic dynamic programming in multi-stage project investment decision-making

J. Doucette, Md. Noor-E-Alam, Md. Noor-E.-Alam, 2012 .

Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum pdf

Md. Noor-E-Alam, Md Sarowar Morshed, Md. Noor-E-Alam, 2020, ArXiv.

Heavy Ball Momentum Induced Sampling Kaczmarz Motzkin Methods for Linear Feasibility Problems

Md Sarowar Morshed, Md. Noor-E-Alam, Md. Noor-E.-Alam, 2020, 2009.08251.

On Generalization and Acceleration of Randomized Projection Methods for Linear Feasibility Problems

Sarowar Morshed, Saiful Islam, Md. Noor-E.-Alam, 2020 .

Integer linear programming models for grid-based light post location problem

Md. Noor-E-Alam, John Doucette, Andrew Mah, 2012, Eur. J. Oper. Res..

Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem

Md Saiful Islam, Md. Noor-E.-Alam, M. Morshed, 2019, Journal of Global Optimization.

A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference

Md Sarowar Morshed, Md. Noor-E-Alam, Md Saiful Islam, 2020, INFORMS J. Comput..

Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference pdf

Md. Noor-E-Alam, Md Saiful Islam, Md Sarowar Morshed, 2020, ArXiv.

Robust policy evaluation from large-scale observational studies

Md Saiful Islam, Md Noor-E-Alam, Md Sarowar Morshed, 2019, PloS one.

A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data

Md. Noor-E.-Alam, Md. Saiful Islam, Sahil Shikalgar, 2021, 2111.13800.

An Explainable Machine Learning Framework for Predicting the Risk of Buprenorphine Treatment Discontinuation for Opioid Use Disorder

Jabed Al Faysal, A. Goodin, M. Hasan, 2023, medRxiv.