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Date/Time
Date(s) - 09/17/19
6:00 pm - 8:00 pm

Location
Grand Stafford Theater

Categories No Categories


Dr. Stephanie Paal :: Augmenting existing civil engineering practices with artificial intelligence: bringing forth the next generation of “physics-based models

A fundamental understanding of the knowledge that can be gained from artificial intelligence when applied within the realm of civil engineering will have a translational impact on the analysis, design, maintenance, and construction of civil infrastructure. With models firmly grounded in real-world data, material and structural properties and behavior can be precisely predicted from each other without computationally expensive analytical or empirical evaluations. Moreover, by integrating artificial intelligence and physics-based models, transformative insights into the behavior of materials and structures and their relation to one another can be discovered, actuating next-generation modeling approaches, experimental methods, empirical relations, designs, and construction methods. In this presentation, a general framework for AI-based understanding of structural performance will be demonstrated and novel AI models aimed at predicting the seismic performance of reinforced concrete components, even when large amounts of data are not available will be introduced. A comprehensive comparison of the novel AI-based approaches with traditional empirical and modeling approaches popularly used in the field will also be presented, and integration with more advanced emerging technologies such as UAS will be discussed.

Dr. Paal is a tenure-track Assistant Professor in the Zachry Department of Civil Engineering at
Texas A&M University. She joined the faculty at Texas A&M in the Fall of 2016 after completing
a three year post-doctoral fellowship in the School of Architecture, Civil and Environmental
Engineering at the Ecole Polytechnique Federale de Lausanne (EPFL). She received her Master’s
and Doctoral degrees in Civil Engineering from the Georgia Institute of Technology in Atlanta,
Georga in 2011 and 2013, respectively. Additionally, she received a B.S. in Architectural
Engineering from the University of Texas at Austin in 2011.
Dr. Paal has extensive background knowledge and expertise in machine vision and machine
learning and applications of these technologies in infrastructure and structural condition
assessments and other infrastructure-related practices.

Dmitriy Shatalov :: Optimizing public school’s tech budget while creating jobs in our community.

The goal is to present a business model that will save public schools and other educational facilities money on buying, maintaining and upgrading computer equipment. While doing so, the business will provide jobs (and internships in the summer) in the Bryan/College Station area.

In conjunction with the business model, we will also discuss the Right to Self-repair movement (https://repair.org/stand-up ) and I will provide some (mostly unknown) household tips and tricks about maintaining and repairing you own computer at home.

Dmitriy Shatalov graduated from Texas A&M University with a degree in Mathematics and Physics. He previously worked as a Programmer and Manager at M4C (Texas A&M), Technical Support Representative in Wifi Networks (ViaSat) and High School Teacher. Dmitriy currently works as a Project Coordinator at AdventGX and Technical Advisor at the Fronds in Zanzibar Resort project.