Sherif Gaweesh

Assistant Professor

North Dakota State University

United States

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Sherif Gaweesh is an Assistant Professor at the University of North Dakota, USA. His research focuses on the analysis of autonomous vehicle technologies, shared mobility, and transportation safety, evident from his recent publications on large language models, crash severity assessment, and safety performance metrics for commercial trucks. Professor Gaweesh employs advanced statistical and computational techniques to address critical transportation issues and promote sustainable practices in mobility.

Articles (11)

Year:

2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

Year:

2020

Collaborators (2)

Mohamed Ahmed

Professor, and Director of the CEAS Transportation Center

University of Cincinnati

UNITED STATES

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Md Nasim Khan

Texas State University

UNITED STATES

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Sherif Gaweesh

Research Interests

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Articles (11)

Assessing the efficacy of pre-trained large language models in analyzing autonomous vehicle field test disengagements

Assessment of Shared Mobility Acceptability for Sustainable Transportation in Amman

Forward-Thinking for Sustainable Shared Mobility Solutions in Amman

Assessment of Large Trucks Crash Severity on a Rural Interstate Road in Wyoming Using Decision Trees and Structural Equation Model

Analysis Framework to Assess Crash Severity for Large Trucks on Rural Interstate Roads Utilizing the Latent Class and Random Parameter Model

Developing Statewide Safety Performance Functions for Commercial Trucks Transporting Hazardous Materials on Interstate Rural Roads in Wyoming

Assessing the Effectiveness of Centerline Rumble Strips Accounting for Winter Maintenance Operational Levels on Wyoming Highways Using Before–After Empirical Bayes

Causes and Effects of Autonomous Vehicle Field Test Crashes and Disengagements Using Exploratory Factor Analysis, Binary Logistic Regression, and Decision Trees

Safety Performance Assessment of Connected Vehicles in Mitigating the Risk of Secondary Crashes: A Driving Simulator Study

Development of a Novel Framework for Hazardous Materials Placard Recognition System to Conduct Commodity Flow Studies Using Artificial Intelligence AlexNet Convolutional Neural Network

Evaluating the safety effectiveness of a weather-based variable speed limit for a rural mountainous freeway in Wyoming

Collaborators (2)

Mohamed Ahmed

Md Nasim Khan

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