Curriculum Vitae

MSc in Earthquake Engineering with a research focus on computer vision and machine learning for seismic damage assessment and structural health monitoring. The thesis investigated the estimation of lateral strength and stiffness loss in seismically damaged reinforced concrete columns using graph theory, image processing, and machine learning.

BSc in Civil Engineering with a broad foundation in structural analysis, mechanics of materials, reinforced concrete and steel design, soil mechanics, and numerical methods. The program established the analytical and computational foundation for subsequent work in structural and earthquake engineering.

Research output spanning structural health monitoring, machine learning, computer vision, digital twins, and performance-based seismic engineering. Published work includes a comprehensive review of signal processing methods for bridge structural health monitoring. Ongoing research includes machine-learning-aided seismic design of reinforced concrete moment frames and graph-based approaches for automated post-earthquake damage assessment and multi-criteria evaluation of reinforced concrete columns. Additional work explores digital twin-enabled seismic resilience, predictive modeling, and lifecycle decision support for civil infrastructure.

Conducted graduate research in earthquake engineering with a focus on computer vision-based seismic damage assessment and structural health monitoring of reinforced concrete components. Developed graph-based representations of crack patterns and applied image processing and machine learning to estimate structural damage and changes in residual lateral strength and stiffness. Developed computational tools and research workflows using Python and C#, with applications in image processing, graph-based analysis, and structural simulation.

Supported the instruction of a graduate-level Structural Dynamics course by assisting with course delivery, grading assignments, and providing academic support through office hours. Helped students develop a stronger understanding of fundamental concepts in structural vibration and dynamic analysis.

Supported the delivery of an undergraduate course in the fundamentals of earthquake engineering by assisting with course instruction, grading coursework, and conducting review sessions. Helped students reinforce key concepts related to earthquake effects, structural response, and seismic engineering principles.

Supported an undergraduate Differential Equations course by grading problem sets and conducting tutorial sessions. Assisted students in developing their understanding of analytical methods and mathematical techniques used to solve differential equations.