Alexandr M. Sokolov Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director of Engineering Management and Construction Management
faculty
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Biography and Research Information
OverviewAI-generated summary
Alexandr M. Sokolov's research interests encompass the application of advanced computational methods and machine learning to address challenges in diverse fields, including disaster management, healthcare, and industrial processes. His work on flood disaster management involves the integration of convolutional neural networks and sorting algorithms for efficient image classification. In the healthcare sector, Sokolov has investigated the use of process mining algorithms for process improvement.
His research also extends to energy and infrastructure, with studies on ground heat flux reconstruction using Bayesian uncertainty quantification and surrogate modeling, as well as an analytical model of active layer depth under changing ground heat flux. In the oil and gas industry, he has developed machine learning-based approaches for corrosion level prediction. Sokolov has also focused on optimizing industrial operations, including the development of an inventory management program for warehouse storage in chemical manufacturing systems to prevent production deficiencies.
Furthermore, his work addresses supply chain risk management, with a review and bibliometric analysis of pre and post-COVID eras. He has also explored the use of Advanced Metering Infrastructure data to detect and improve customer voltage quality issues. Sokolov is a Co-PI on a National Science Foundation grant focused on Campus - Cyberinfrastructure Modernization at Arkansas State University. His scholarly contributions include 30 publications, 160 citations, and an h-index of 4.
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
- SPECIFIC FEATURES OF THE ORGANIZATION OF LOW-BATCH PRODUCTION OF REINFORCED CONCRETE PRODUCTS USING THEIR ELECTROTHERMAL PROCESSING BY INCREASED FREQUENCY CURRENTS
- Indicators of the Technology of Manufacturing Products from Arbolite with the Use of Electric Heat Treatment
- 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
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
- An Analytical Model of Active Layer Depth Under Changing Ground Heat Flux
- Supply chain risk management: a review, bibliometric, and network analysis immediate pre and post COVID era
- Leveraging Lean Six Sigma to Optimize the U.S. Air Force Safety Reporting Process
- Integrated methodology to calculate nonsinusoidal AC systems of high frequency
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