Abdollah Shafieezadeh
Decision Sciences · The Ohio State University
Publications
154
Citations
3,884
Est. group size
~5
Recurring co-author estimate
Active years
19
Publishing since 2007
This researcher works on assessing and improving the resilience and safety of infrastructure systems—such as power grids, utility poles, pipelines, levees, and wind turbines—especially under extreme events like hurricanes and climate change. Much of the work combines engineering risk analysis with modern machine learning and AI tools (e.g., deep learning, physics-informed neural networks, reinforcement learning) to predict failures, quantify uncertainty, and support decision-making. A recurring focus is on equity and disparities in how infrastructure disruptions affect different communities.
Publication output rose steadily from 2017 to a peak around 2021, then declined through 2023-2024, with a slight uptick in 2025, suggesting a slowing but still active recent pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Socioeconomic disparities in hurricane-induced power outages: Insights from multi-hurricane data in Florida using XGBoost
Sustainable Cities and Society · 2025
- Robust wind turbine monitoring for digital twin integration: A physics-informed covariance-preserving deep learning approach
Renewable Energy · 2025
- System outage fragility for power systems: A robust data-driven framework for disparity analysis using multiple hurricane events
International Journal of Disaster Risk Reduction · 2025
- Integrated Framework for Resilient and Environmentally Sustainable Utility Pole Management in Power Distribution Systems
2025
- Robust treatment assignment with uncertainty-aware causal forests: Joint optimization of accuracy and estimation uncertainty
Expert Systems with Applications · 2025
- Cholesky-KalmanNet: Model-Based Deep Learning With Positive Definite Error Covariance Structure
IEEE Signal Processing Letters · 2024
- Life-Cycle Risk-Based Decision-Making in a Changing Climate
American Society of Civil Engineers eBooks · 2024
- Regional Variability of Grid Resilience under Climate Change Effects: A Study on the IEEE-33 Grid System
2024
- Nested physics-informed neural network for analysis of transient flows in natural gas pipelines
Engineering Applications of Artificial Intelligence · 2023
- Age-dependent failure probabilities of corroding concrete sewer pipes under traffic loads
Structures · 2023
- PDP-CNN: A Deep Learning Model for Post-Hurricane Reconnaissance of Electricity Infrastructure on Resource-Constrained Embedded Systems at the Edge
IEEE Transactions on Instrumentation and Measurement · 2023
- Toward equitable grid resilience: operationalizing climate adaptation strategies to mitigate flooding impacts
Environmental Research Infrastructure and Sustainability · 2023
- Memory-Augmented Lyapunov-Based Safe Reinforcement Learning: End-to-End Safety Under Uncertainty
IEEE Transactions on Artificial Intelligence · 2023
- Advances in Data-Driven Risk-Based Performance Assessment of Structures and Infrastructure Systems
Journal of Structural Engineering · 2023
- Multistate Overflow Fragility Models for Homogenous Inland Levees with Noncohesive Sediments
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · 2023
- Reliability Engineering & System Safety×10
- Engineering Structures×8
- Bulletin of Earthquake Engineering×6
- Seoul National University Open Repository (Seoul National University)×6
- Structure and Infrastructure Engineering×5
- Chi Zhang
Decision Sciences · The Ohio State University
- Dongbin Xiu
Decision Sciences · The Ohio State University
- Jianhua Yin
Decision Sciences · Purdue University West Lafayette
- Hao Wu
Decision Sciences · Purdue University West Lafayette
- Mrinal Kumar
Decision Sciences · The Ohio State University
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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