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Research Areas
Biography and Research Information
OverviewAI-generated summary
Alok Madamanchi's research focuses on the application of machine learning techniques to address challenges within the oil and gas industry, specifically concerning corrosion prediction. Their recent publication, "A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry," published in 2024, details this area of study. Madamanchi has a current h-index of 1, with one total publication and three citations. Their work has involved collaboration with Alexandr M. Sokolov and Fazla Rabbi, both affiliated with Arkansas State University, with whom they share one publication.
Metrics
- h-index: 1
- Publications: 1
- Citations: 3
Selected Publications
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A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024)
Collaboration Network
Top Collaborators
Fazla Rabbi
Arkansas State University
1 shared publication
In database
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
Alexandr M. Sokolov
Arkansas State University
1 shared publication
In database
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
Niamat Ullah Ibne Hossain
Arkansas State University (US)
1 shared publication
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
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