Teaching

My teaching connects structural engineering, probabilistic modeling, infrastructure resilience, and computational methods, with an emphasis on real-world engineering applications.

Current Courses at UC Berkeley

CE 120 — Structural Engineering

This course introduces the fundamentals of structural analysis and design through real engineering systems. The course emphasizes how structural behavior, load paths, and modeling assumptions influence engineering decisions.

CE 193/293A — Probability and Risk Analysis for Civil Engineers

This course develops the probabilistic and inferential foundations used in infrastructure reliability, performance-based engineering, and risk analysis. Students learn to represent, propagate, and update uncertainty using probability theory, Bayesian inference, Monte Carlo simulation, and modern data-driven methods, with applications across civil and environmental engineering.

CE 294 — Disaster Risk Analysis of Urban Systems

CE 294 introduces probabilistic methods for analyzing disaster risk and infrastructure resilience. Students study hazards, uncertainty, infrastructure networks, recovery, and decision-making using real-world examples from earthquakes, hurricanes, floods, and other extreme events.

Teaching Innovation

I integrate computational tools, real-world case studies, and AI-enabled assignments into engineering education. I also contribute to broader efforts in Civil and Environmental Engineering to develop practical approaches for teaching students how to use and critically evaluate AI tools in engineering workflows.

Previous Courses

Structural Analysis — NYU

Introduced students to the analysis of statically determinate and indeterminate structures, with emphasis on structural behavior, internal forces, deflections, and modeling assumptions.

Disaster Risk Analysis and Resilience of Urban Systems — NYU

Introduced probabilistic and systems-based methods for analyzing how extreme events affect urban infrastructure, with emphasis on risk, interdependencies, resilience, and recovery.