AEM Seminar with Maria Chierichetti

Machine learning applications to structural dynamics and transportation policy

Machine learning techniques have the ability to automatically generate a model using data from past experiences. The number of applications is extensive, ranging from the automotive industry to house price estimations. In this talk, Dr. Chierichetti will present her research on applications of machine learning to transient stress predictions, as well as sensor placement for vibration testing. She will also present her experience with policy analysis in transportation, in which machine learning can be successfully used to understand citizens sentiment with respect to potential new laws, as well as to determine the effectiveness of existing policies in the transportation industry.

About Maria Chierichetti
Maria Chierichetti is an Associate Professor in Aerospace Engineering at San Jose' State University (CA). She received her MS and PhD in Aerospace Engineering from Georgia Institute of Technology, and BS and MS from Politecnico di Milano (Italy). She is an Amelia Earhart Fellow - Zonta International Foundation. Dr. Chierichetti's research focuses on the application of machine learning to structural dynamics, as well as on the analysis of the safety of transportation systems from a policy perspective, both on the ground and in the airspace. She is currently a research associate for the Mineta Transportation Institute. She has also been involved in several activities that promote students' success: she has researched how students learning and experience are affected by external factors, such as COVID-19 pandemic and community service. She has experience mentoring fellow engineering faculty on active learning, successful state-of-the-art teaching strategies pedagogies. Before joining SJSU, she worked as a faculty member at Worcester Polytechnic Institute and at the University of Cincinnati.