title
Developing machine learning models to analyze engineering systems
Mentor
Elnaz Esmailzadeh Seirabi
Department
Civil and environmental engineering
bio sketch
Elnaz Esmaeilzadeh Seylabi is an assistant professor in the Department of Civil and Environmental Engineering at the University of Nevada, Reno. She received her Ph.D. She holds a PhD in Civil Engineering (majoring in Structural Mechanics and a minor in Applied Mathematics) from the University of California, Los Angeles, a Master’s degree in Earthquake Engineering and a Bachelor of Science in Civil Engineering from Sharif Institute of Technology. Her research focuses on risk-based engineering of civil infrastructure and the development of computational methods for efficient performance-based engineering and uncertainty quantification.
project overview
Students work with their supervisors and graduate students to develop various machine learning models to solve differential equations that control the responses of various engineering systems. Throughout the project, students will learn the basics of scientific machine learning and Python programming. This project will help students improve analytical and presentation skills essential for professional development.