Abdollah Shafieezadeh

Orcid: 0000-0001-6768-8522

According to our database1, Abdollah Shafieezadeh authored at least 21 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Memory-Augmented Lyapunov-Based Safe Reinforcement Learning: End-to-End Safety Under Uncertainty.
IEEE Trans. Artif. Intell., December, 2023

PDP-CNN: A Deep Learning Model for Post-Hurricane Reconnaissance of Electricity Infrastructure on Resource-Constrained Embedded Systems at the Edge.
IEEE Trans. Instrum. Meas., 2023

Bayesian updating with adaptive, uncertainty-informed subset simulations: High-fidelity updating with multiple observations.
Reliab. Eng. Syst. Saf., 2023

Nested physics-informed neural network for analysis of transient flows in natural gas pipelines.
Eng. Appl. Artif. Intell., 2023

2022
Multi-Stage Resilience Management of Smart Power Distribution Systems: A Stochastic Robust Optimization Model.
IEEE Trans. Smart Grid, 2022

Simulation-free reliability analysis with active learning and Physics-Informed Neural Network.
Reliab. Eng. Syst. Saf., 2022

Optimal monitoring location for tracking evolving risks to infrastructure systems: Theory and application to tunneling excavation risk.
Reliab. Eng. Syst. Saf., 2022

Value of information analysis in non-stationary stochastic decision environments: A reliability-assisted POMDP approach.
Reliab. Eng. Syst. Saf., 2022

How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning.
CoRR, 2022

2021
Error Quantification and Control for Adaptive Kriging-Based Reliability Updating with Equality Information.
Reliab. Eng. Syst. Saf., 2021

Adaptive network reliability analysis: Methodology and applications to power grid.
Reliab. Eng. Syst. Saf., 2021

Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy.
CoRR, 2021

Lyapunov-based uncertainty-aware safe reinforcement learning.
CoRR, 2021

A Physics-Informed Graph Attention-based Approach for Power Flow Analysis.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
On confidence intervals for failure probability estimates in Kriging-based reliability analysis.
Reliab. Eng. Syst. Saf., 2020

Real-time high-fidelity reliability updating with equality information using adaptive Kriging.
Reliab. Eng. Syst. Saf., 2020

Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging.
IEEE Access, 2020

Optimal Life-Cycle Resilience Enhancement of Aging Power Distribution Systems: A MINLP-Based Preventive Maintenance Planning.
IEEE Access, 2020

2019
REAK: Reliability analysis through Error rate-based Adaptive Kriging.
Reliab. Eng. Syst. Saf., 2019

2015
A Probabilistic Framework for Prioritizing Wood Pole Inspections Given Pole Geospatial Data.
IEEE Trans. Smart Grid, 2015

2014
Scenario-based resilience assessment framework for critical infrastructure systems: Case study for seismic resilience of seaports.
Reliab. Eng. Syst. Saf., 2014


  Loading...