Md. Noor-E-Alam

Northeastern University

United States

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Articles (10)

Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations

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Year:

2024

Treatment Experiences for Patients Receiving Buprenorphine/Naloxone for Opioid Use Disorder: A Qualitative Study of Patients’ Perceptions and Attitudes

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Year:

2023

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

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Year:

2023

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

A primal–dual interior point method for a novel type-2 second order cone optimization

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Year:

2021

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

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Year:

2021

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

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Year:

2021

Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem

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Year:

2020

Collaborators (5)

Chrysafis Vogiatzis

University of Illinois at Urbana-Champaign

UNITED STATES

Md Sarowar Morshed

Northeastern University

UNITED STATES

Cynthia Rudin

Duke University

UNITED STATES

Leon Sanchez

Beth Israel Deaconess Medical Center

UNITED STATES

Tasnim Ibn Faiz

Professional Research Experience Program (PREP) Postdoctoral Associate

National Institute of Standards and Technology

UNITED STATES

Md. Noor-E-Alam

Research Interests

Explore related searches

Contact this professor

Articles (10)

Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations

Treatment Experiences for Patients Receiving Buprenorphine/Naloxone for Opioid Use Disorder: A Qualitative Study of Patients’ Perceptions and Attitudes

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

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

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

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

A primal–dual interior point method for a novel type-2 second order cone optimization

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

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

Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem

Collaborators (5)

Chrysafis Vogiatzis

Md Sarowar Morshed

Cynthia Rudin

Leon Sanchez

Tasnim Ibn Faiz

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