Alexandr M. Sokolov Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director of Engineering Management and Construction Management
Arkansas State University
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Biography and Research Information
OverviewAI-generated summary
Alexandr M. Sokolov's research investigates the application of advanced computational methods and data analysis techniques across various domains. His work includes the development of integrated systems for flood disaster management, utilizing convolutional neural networks and sorting algorithms for image classification. He also explores the use of process mining algorithms for process improvement, with a specific focus on healthcare applications.
Sokolov's research extends to areas such as ground heat flux reconstruction, employing Bayesian uncertainty quantification and surrogate modeling. He has also focused on machine learning-based corrosion level prediction within the oil and gas industry. Additionally, his projects have involved the development of inventory management programs for warehouse storage in continuous chemical manufacturing to prevent production deficiencies and the analysis of supply chain risk management, including a review and bibliometric analysis of the pre and post-COVID era.
His work also addresses practical engineering challenges, such as using Advanced Metering Infrastructure data to detect and improve customer voltage quality issues. Sokolov is the Director of Engineering Management and Construction Management at Arkansas State University. He has an h-index of 4, with 30 total publications and 157 total citations. He has received funding from the National Science Foundation (NSF) for campus cyberinfrastructure modernization.
Metrics
- h-index: 4
- Publications: 30
- Citations: 157
Selected Publications
- Supply chain risk management: a review, bibliometric, and network analysis immediate pre and post COVID era (2025) DOI
- Leveraging Lean Six Sigma to Optimize the U.S. Air Force Safety Reporting Process (2024) DOI
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024) DOI
- Measuring the Systems Engineering Management Skills of Undergraduate Students using a New Valid and Reliable Instrument (2024) DOI
- Using process mining algorithms for process improvement in healthcare (2024) DOI
- Effective Capacity Planning for Operations in a Contract Manufacturing Setting (2023) DOI
- Utilizing DMAIC Process to Identify Successful Completion of SRAD Phases of Waterfall Development (2023) DOI
- The Application of Project Management Principles During the Construction Phase of a Parking Lot Replacement Project (2023) DOI
- An Economic Analysis for Residential Rooftop Solar Photovoltaic Panels in the State of Texas (2023) DOI
- Enhancing Math Comprehension Skills at the Elementary School Level: An Empirical Approach (2023) DOI
- Integrating Performance Indicators to Track the Production Development of Manufacturing Lines (2023) DOI
- Development of an Inventory Management Program for Warehouse Storage of Raw Materials in a Continuous Chemical Manufacturing System to Prevent Production Deficiencies (2023) DOI
- Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues (2023) DOI
- Analyzing Sense and Avoid Requirements to Integrate Unmanned Aircraft Systems into Controlled Airspace (2023) DOI
- Implementing the Overall Equipment Effectiveness Metric in an Industrial Manufacturing Environment (2023) DOI
Federal Grants 1 $99,906 total
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