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I am a PhD candidate at the University of Virginia working at the intersection of machine learning, probabilistic modeling, and large-scale networked systems. My research develops graph neural networks, reinforcement learning, and uncertainty-aware optimization methods for reliability, risk analysis, and resilient energy systems.

My work spans power grid reliability, infrastructure resilience under extreme events, and long-term energy system planning. I build scalable learning frameworks for high-dimensional physical systems, with applications in power system operation, post-disaster recovery, and decarbonization planning.


Research Focus

  • Graph Neural Networks and temporal modeling for complex infrastructure systems
  • Reinforcement learning for sequential decision-making under uncertainty
  • Reliability and risk analysis of critical infrastructure
  • Multi-fidelity modeling and uncertainty quantification
  • Energy system modeling and long-term planning

Selected Contributions

  • Developed multi-fidelity GNN frameworks for probabilistic power flow and hybrid chance-constrained optimal power flow under renewable uncertainty.
  • Designed GNN-based multi-agent reinforcement learning models for power distribution restoration after hurricanes (under review, Reliability Engineering & System Safety).
  • Led uncertainty quantification studies on energy transitions, including a Puerto Rico case study published in Nature Communications.
  • Quantified interactions between data center load growth and electrification pathways using large-scale capacity expansion modeling.
  • Built temporal GNN models for failure and cause prediction in power grids in collaboration with industry partners.

Education

Ph.D., University of Virginia (2022–2026 expected)
Focus: Uncertainty-aware power system operation and planning with machine-learning surrogates

M.Sc., Sharif University of Technology
Probabilistic modeling of water infrastructure and resilience


Technical Areas

Machine Learning
Graph Neural Networks, Reinforcement Learning, Deep Learning, Temporal Modeling

Modeling & Optimization
Probabilistic Modeling, Uncertainty Quantification, Multi-fidelity Modeling, Numerical Optimization

Energy & Infrastructure Systems
Power System Analysis, Reliability & Risk Analysis, Energy System Modeling, Infrastructure Resilience


For collaboration or professional inquiries, please feel free to contact me.