Xiaoxu Diao
Decision Sciences · The Ohio State University
Publications
45
Citations
183
Est. group size
~5
Recurring co-author estimate
Active years
19
Publishing since 2008
Xiaoxu Diao works on risk and reliability analysis for complex safety-critical systems, particularly nuclear power plants and electric grids. Their work covers topics like software and instrumentation reliability, cybersecurity risk modeling, fault detection, and human reliability under physical security threats, often combining computational modeling with experimental validation. Much of the research aims to help predict, detect, and analyze failures in engineered systems before they cause real-world harm.
Publication output has grown fairly steadily over the last decade, rising from about 1 paper per year in 2017 to roughly 7 per year in 2023-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Experimental Validation of the Instrumentation and Control Design Evaluation Method for Predicting and Estimating Common Cause Failures in Software Development
2025
- A Modular Dynamic Probabilistic Risk Assessment Framework for Electric Grid Cybersecurity
Engineering Reports · 2025
- Author response for "A Modular Dynamic Probabilistic Risk Assessment Framework for Electric Grid Cybersecurity"
2025
- Author response for "A Modular Dynamic Probabilistic Risk Assessment Framework for Electric Grid Cybersecurity"
2025
- System design and analysis of thermal power dispatch systems for boiling water reactors
Annals of Nuclear Energy · 2024
- Human Reliability Under Physical Security Threats: Modeling and Experimental Design
2024
- The Development of the Integrated System Failure Analysis and Its Applications
Risk, reliability and safety engineering · 2024
- Design and Implementation of a Virtual Reality Environment for Human Reliability Assessment Under Physical Security Threats
2024
- Integrated system failure analysis software toolchain (IS-FAST)
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023
- An Evaluation Approach to Common Cause Failures for Instrumentation and Control Systems Design
2023
- Fault Tree Analysis of an Innovative Thermal Power Dispatch System for Nuclear Power Plants
Transactions of the American Nuclear Society · 2023
- An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage
Artificial intelligence for engineering design analysis and manufacturing · 2022
- A requirements inspection method based on scenarios generated by model mutation and the experimental validation
Empirical Software Engineering · 2021
- A Model-Based Symbolic Inference for Sensor Deployment Optimization for Fault Detection of the EBR-II Reactor
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021) · 2021
- An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas
Energy · 2020
- SpringerBriefs in computer science×4
- Artificial intelligence for engineering design analysis and manufacturing×3
- Reliability Engineering & System Safety×2
- Nuclear Technology×2
- Annals of Nuclear Energy×2
- Yunfei Zhao
Decision Sciences · The Ohio State University
- Tunc Aldemir
Decision Sciences · The Ohio State University
- Richard Denning
Decision Sciences · The Ohio State University
- Karen Marais
Decision Sciences · Purdue University West Lafayette
- Souvik Das
Decision Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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