Sara Masoud

Sara Masoud

Wayne State University

H-index: 9

North America-United States

About Sara Masoud

Sara Masoud, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Wayne State University, specializes in the field of Data Driven Decision Making, Simulation, Simulation-based Optimization, Applied Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Impact of autonomous vehicles on the car-following behavior of human drivers

A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection

Human-robot interactions in manufacturing: A survey of human behavior modeling

Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach

Identifying indicators influencing emergency department performance during a medical surge: a consensus-based modified fuzzy Delphi approach

A comparison of univariate and multivariate forecasting models predicting emergency department patient arrivals during the COVID-19 pandemic

Acute coronary syndrome prediction in emergency care: A machine learning approach

Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes

Sara Masoud Information

University

Position

Assistant Professor of Industrial and Systems Engineering

Citations(all)

237

Citations(since 2020)

234

Cited By

28

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Sara Masoud Skills & Research Interests

Data Driven Decision Making

Simulation

Simulation-based Optimization

Applied Machine Learning

Top articles of Sara Masoud

Impact of autonomous vehicles on the car-following behavior of human drivers

Journal of transportation engineering, Part A: Systems

2023/3/1

A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection

Expert Systems with Applications

2023/6/5

Maryam Eghbali-Zarch
Maryam Eghbali-Zarch

H-Index: 6

Sara Masoud
Sara Masoud

H-Index: 2

Human-robot interactions in manufacturing: A survey of human behavior modeling

2022/12/1

Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach

IEEE Access

2022/4/18

Identifying indicators influencing emergency department performance during a medical surge: a consensus-based modified fuzzy Delphi approach

PLoS One

2022/4/21

A comparison of univariate and multivariate forecasting models predicting emergency department patient arrivals during the COVID-19 pandemic

Healthcare

2022/6/16

Acute coronary syndrome prediction in emergency care: A machine learning approach

Computer methods and programs in biomedicine

2022/10/1

Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes

Medical & Biological Engineering & Computing

2022/8

Multiple streams with recurrence-based, counter-based, and splittable random number generators

2021/12/12

Buiding a digital twin for robot workcell prognostics and health management

2021/12/12

A Sensor-Based Data Driven Framework to Investigate PM2.5 in the Greater Detroit Area

IEEE Sensors Journal

2021/4/27

Neural predictive intervals for simulation metamodeling

2021/12/12

A RESTful persistent DEVS-based interaction model for the Componentized WEAP and LEAP RESTful frameworks

2021/12/12

A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system

International Journal of Sensor Networks

2020

Sara Masoud
Sara Masoud

H-Index: 2

Mitigating the risk of hazardous materials transportation: A hierarchical approach

Computers & Industrial Engineering

2020/10/1

Sara Masoud
Sara Masoud

H-Index: 2

Sojung Kim
Sojung Kim

H-Index: 1

See List of Professors in Sara Masoud University(Wayne State University)

Co-Authors

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