‪Amin Aria, PhD‬ - ‪Google Scholar‬

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Cited by

	All	Since 2019
Citations	35	35
h-index	2	2
i10-index	1	1

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12

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202020212022202320243 8 12 10 2

Co-authors

Mohammad ModarresProfessor of Mechanical Engineering, University of MarylandVerified email at umd.edu
Shapour AzarmProfessor of Mechanical Engineering, University of MarylandVerified email at umd.edu
Enrique Lopez DroguettUniversity of California, Los AngelesVerified email at ucla.edu

Amin Aria, PhD

Amin Aria, PhD

Reliability Engineering, University of Maryland

Verified email at umd.edu

Artificial Intelligence Machine/Deep learning Big Data Operations research Prognostics and Health Management


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion A Aria, E Lopez Droguett, S Azarm, M Modarres Structural Health Monitoring 19 (5), 1542-1559, 2020	29	2020
Layout optimization of multi-type sensors and human inspection tools with probabilistic detection of localized damages for pipelines A Aria, S Azarm, M Modarres IEEE Access 8, 90598-90614, 2020	5	2020
On a case study in optimization-based layout design of sensors for a pipeline using synthetic localized corrosion data A Aria, S Azarm, M Modarres Research and Development Petroleum Conference and Exhibition 2018 2018 (1 …, 2018	1	2018

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