Projects

Through my work at UIUC and SoTeRiA, I have contributed to and helped coordinate multiple DOE-, NRC-, NSF-, and industry-sponsored projects on topics including AI/ML and automation trustworthiness and transparency, fire risk analysis, common-cause failure analysis, simulation-informed dependency treatment, and risk-informed regulatory and operational strategies. Current and recent projects mapped to the four research themes.

Find supporting publications or contact me to discuss collaboration.

Theme 1: Advancing PRA for Operating and Advanced Nuclear Power Plants

Simulation-Informed Dependency Treatment for Operational Flexibility

Year range: 2024–2026 · Sponsor/collaborators: DOE-NE (industry cost-shared) · Role: Co-PI

Develops simulation-informed dependency treatment to avoid production loss while maintaining safety for operating plants and advanced reactors.

Related research theme · Related publication

I-PRA Decision-Making Platform for New Technology Deployment

Year range: 2019–2022 · Sponsor/collaborators: DOE NEUP · Role: Researcher & Project Coordinator

Developed computational support for risk-informed deployment of new technologies with explicit treatment of uncertainty and safety implications.

Related research theme · Related output

Theme 2: Spatiotemporal Modeling of Coupled Human-Physics-Digital Technologies

Socio-Technical Risk Analysis of Complex Systems

Year range: 2024–2027 · Sponsor/collaborators: NSF MCA · Role: Researcher

Analyzes interactions among human performance, physical failure mechanisms, and organizational factors to support safety-critical decisionmaking.

Related research theme · Related publication

Integrated Human-Hardware-Software Modeling in Digital Twins

Year range: 2022–2025 · Sponsor/collaborators: NRC · Role: Researcher

Investigates integrated modeling of human and technology interactions for digital-twin-assisted risk analysis in nuclear applications.

Related research theme · Related output

Theme 3: Validation and Uncertainty Quantification with Sparse Data

Simulation Validation with Sparse Data

Year range: 2021–2024 · Sponsor/collaborators: NRC · Role: Researcher

Builds probabilistic validation methodology to support validation of simulation models used in nuclear power plant contexts under the challenge of limited validation data.

Related research theme · Related publications: Probabilistic Validation: Theoretical Foundation and Methodological Platform (2023); Probabilistic Validation: Computational Platform and Application to Fire Probabilistic Risk Assessment of Nuclear Power Plants (2024); Uncertainty-Based Validation of Maintenance-Physical Degradation Coupled Models in the Absence of Maintenance Performance Data (2026)

AI-driven Automation Trustworthiness and Transparency

Year range: 2021–2024 · Sponsor/collaborators: DOE NEUP · Role: Researcher & Project Coordinator

Develops probabilistic, risk-informed methods to evaluate AI-driven automation trustworthiness and transparency for safety-critical nuclear power plant operations.

Related research theme · Related publications: Automation Transparency: A Literature Review, Methodology Development, and Application to an AI-Driven Anomaly Detection System in Nuclear Power Plants (2026); Probabilistic Validation and Risk Importance Ranking Methodology for Automation Trustworthiness and Transparency in Nuclear Power Plants (2025)

Theme 4: Risk-Informed Decisionmaking and Regulation