Maryam Aghamohammadghasem
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Researcher
Unknown Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Maryam Aghamohammadghasem researches the application of simulation and machine learning techniques to optimize operations and maintenance decisions within inland waterway transportation systems. Her work focuses on developing automated methods for input distribution fitting, utilizing tools like the Kotlin Simulation Library to enhance decision-making processes. She has collaborated with researchers at the University of Arkansas at Fayetteville, including Farid Hashemian and Manuel D. Rossetti, on multiple publications in this area. Aghamohammadghasem's research has resulted in five publications, with an h-index of 1 and a total of 15 citations. Her recent publications, dating from 2023 to 2025, highlight her ongoing activity and focus on advancing simulation and machine learning applications in transportation logistics.
Metrics
- h-index: 1
- Publications: 5
- Citations: 16
Selected Publications
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Automated input distribution fitting based on multiple criteria for the Kotlin Simulation Library (2025)
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Input Distribution Modeling Using the Kotlin Simulation Library (2024)
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System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023)
Collaboration Network
Top Collaborators
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Automated input distribution fitting based on multiple criteria for the Kotlin Simulation Library
- Input Distribution Modeling Using the Kotlin Simulation Library
- Automated input distribution fitting based on multiple criteria for the Kotlin Simulation Library
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Input Distribution Modeling Using the Kotlin Simulation Library
- Input Distribution Modeling Using the Kotlin Simulation Library
- Input Distribution Modeling Using the Kotlin Simulation Library
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