Alexandr M. Sokolov
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director of Engineering Management and Construction Management
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Alexandr M. Sokolov's research focuses on the application of computational methods and advanced algorithms to address challenges in various industrial and healthcare sectors. He investigates the use of machine learning, including convolutional neural networks and process mining algorithms, for tasks such as image classification in disaster management, process improvement in healthcare, and corrosion level prediction in the oil and gas industry. His work also extends to developing inventory management programs for manufacturing systems and exploring the technology of manufacturing products using electric heat treatment.
Sokolov is also involved in research related to supply chain risk management, conducting reviews and bibliometric analyses, particularly in the context of the COVID-19 pandemic. Additionally, he has explored the application of Lean Six Sigma principles to optimize safety reporting processes within the U.S. Air Force. He is a Co-Principal Investigator on a National Science Foundation grant for Campus - Cyberinfrastructure Modernization at Arkansas State University.
His scholarly output includes publications on these diverse topics, contributing to fields ranging from disaster management and healthcare to manufacturing and supply chain logistics. Sokolov's academic contributions are reflected in his h-index of 4, with 30 publications and 165 citations.
Metrics
- h-index: 4
- Publications: 30
- Citations: 165
Selected Publications
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Evaluating the Selection Process for Optical Sensor System Configurations Used in Surface Metrology Applications (2026)
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Supply chain risk management: a review, bibliometric, and network analysis immediate pre and post COVID era (2025)
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Leveraging Lean Six Sigma to Optimize the U.S. Air Force Safety Reporting Process (2024)
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A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024)
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Measuring the Systems Engineering Management Skills of Undergraduate Students using a New Valid and Reliable Instrument (2024)
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Using process mining algorithms for process improvement in healthcare (2024)
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Effective Capacity Planning for Operations in a Contract Manufacturing Setting (2023)
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Utilizing DMAIC Process to Identify Successful Completion of SRAD Phases of Waterfall Development (2023)
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The Application of Project Management Principles During the Construction Phase of a Parking Lot Replacement Project (2023)
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An Economic Analysis for Residential Rooftop Solar Photovoltaic Panels in the State of Texas (2023)
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Enhancing Math Comprehension Skills at the Elementary School Level: An Empirical Approach (2023)
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Integrating Performance Indicators to Track the Production Development of Manufacturing Lines (2023)
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Development of an Inventory Management Program for Warehouse Storage of Raw Materials in a Continuous Chemical Manufacturing System to Prevent Production Deficiencies (2023)
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Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues (2023)
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Analyzing Sense and Avoid Requirements to Integrate Unmanned Aircraft Systems into Controlled Airspace (2023)
Federal Grants 1 $99,906 total
CC* Strategy: Campus - Cyberinfrastructure Modernization at Arkansas State University
Collaboration Network
Top Collaborators
- An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
- Using process mining algorithms for process improvement in healthcare
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
- Development of an Inventory Management Program for Warehouse Storage of Raw Materials in a Continuous Chemical Manufacturing System to Prevent Production Deficiencies
- Implementing the Overall Equipment Effectiveness Metric in an Industrial Manufacturing Environment
Showing 5 of 16 shared publications
- Development of an Inventory Management Program for Warehouse Storage of Raw Materials in a Continuous Chemical Manufacturing System to Prevent Production Deficiencies
- Analyzing Sense and Avoid Requirements to Integrate Unmanned Aircraft Systems into Controlled Airspace
- An Economic Analysis for Residential Rooftop Solar Photovoltaic Panels in the State of Texas
- The Application of Project Management Principles During the Construction Phase of a Parking Lot Replacement Project
- Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues
- Utilizing DMAIC Process to Identify Successful Completion of SRAD Phases of Waterfall Development
- Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues
- Utilizing DMAIC Process to Identify Successful Completion of SRAD Phases of Waterfall Development
- Leveraging Lean Six Sigma to Optimize the U.S. Air Force Safety Reporting Process
- Supply chain risk management: a review, bibliometric, and network analysis immediate pre and post COVID era
- An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
- An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
- An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
- Implementing the Overall Equipment Effectiveness Metric in an Industrial Manufacturing Environment
- Implementing the Overall Equipment Effectiveness Metric in an Industrial Manufacturing Environment
- Analyzing Sense and Avoid Requirements to Integrate Unmanned Aircraft Systems into Controlled Airspace
- Development of an Inventory Management Program for Warehouse Storage of Raw Materials in a Continuous Chemical Manufacturing System to Prevent Production Deficiencies
- Integrating Performance Indicators to Track the Production Development of Manufacturing Lines
- Integrating Performance Indicators to Track the Production Development of Manufacturing Lines
- Enhancing Math Comprehension Skills at the Elementary School Level: An Empirical Approach
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