Project 28:
The far-reaching effects of AI and ML in our daily lives are becoming more and more evident. Additionally, with the increasing availability of large datasets for physical systems, AI and ML are entirely replacing the traditional methods of physics employed to describe the behavior of such systems. In this project, we will investigate the use of generative AI and physics-based ML for describing space structures and the design of their components. We will also compare the advantageous effects of AI and ML in engineering with data from real-world examples, such as the international space station and so on.
The student will learn to use AI and ML codes developed at the lab to perform the computation and, finally, how to use data from real-world space structures. They will also write reports and prepare presentations based on their research. The students will participate in research group meetings and present their findings at regular intervals, improving their scientific communication skills. This training will help the student acquire the necessary skill sets early in their academic journey that will provide them with a competitive edge in their future career. The project requires an estimated 6 hours per week over two semesters.
At the conclusion of the project, a presentation and a final report will be prepared by the student, along with the possibility of a conference paper.