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  • Sajjad Raeisi

Sajjad Raeisi

Indianapolis has most everything that a major city would have. Indeed, it is a major city with almost all the benefits of a small town.   

Ph.D. in Mechanical Engineering

Why did you choose graduate school at IUPUI?

I chose IUPUI because of two compelling reasons. First, my advisor is one the best in the design optimization field and doing research under his supervision is a marvelous opportunity for me. Second, the Ph.D. degree offered directly by Purdue University as a highly respected school was my other motivation to join IUPUI.

What has been your favorite academic accomplishment since you’ve been here?

I have been working on a project funded by General Motors since 2016. Last year, General Motors offered us to continue working on the project, and they extended their financial support due to their great satisfaction.

What do you enjoy most about life in Indianapolis?

Indianapolis has most everything that a major city would have. Indeed, it is a major city with almost all the benefits of a small town. The accessibility of the city makes it a place that you can get out and enjoy it multiple times a week. You'll always have great options for American and International cuisine. Finally, if you dig the Midwest mentality, Indy is a great place to hang your hat!

Please provide some details about your work/research as a graduate student and/or any activities you are involved in.

From the beginning of my Ph.D. carrier, I had been working on the development of a non-linear topology optimization algorithm. As I said, my research has been financially supported by the largest automotive industry in the United States, General Motors. The overall objective of this research is to develop the optimization methods and computational tools to concurrently optimize the material distribution in the vehicle structure and even any other structural component under dynamic loading. In contrast to linear implicit methods and partially nonlinear implicit methods for topology optimization, my research goal is the development of a truly nonlinear algorithm for multi-material topology optimization.

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