161 citations · 324 across the 6 of their papers we have counts for
7 papers
Multi-stage Resilience Management of Smart Power Distribution Systems: A Stochastic Robust Optimization Model
Nariman L. Dehghani, Abdollah Shafieezadeh
Significant outages from weather and climate extremes have highlighted the critical need for resilience-centered risk management of the grid. This paper proposes a multi-stage stoc…
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
Zeyu Wang, Abdollah Shafieezadeh, Xiong Xiao +2
The maturity of structural health monitoring technology brings ever-increasing opportunities for geotechnical structures and underground infrastructure systems to track the risk of…
Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
Chi Zhang, Chaolin Song, Abdollah Shafieezadeh
In many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the…
Adaptive network reliability analysis: Methodology and applications to power grid
Nariman L. Dehghani, Soroush Zamanian, Abdollah Shafieezadeh
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks. However…
Lyapunov-based uncertainty-aware safe reinforcement learning
Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh
Reinforcement learning (RL) has shown a promising performance in learning optimal policies for a variety of sequential decision-making tasks. However, in many real-world RL problem…
Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
Chi Zhang, Zeyu Wang, Abdollah Shafieezadeh
Large uncertainties in many phenomena have challenged decision making. Collecting additional information to better characterize reducible uncertainties is among decision alternativ…