UROP Research Mentor Project Submission Portal: Submission #1195
Submission information
Submission Number: 1195
Submission ID: 20571
Submission UUID: 4aecc8de-b07b-426f-8b95-c2898d4d84eb
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=UKy1mMXYXj10wK5EHQQc176vaTDntqjJVVDwl1ewT4A
Created: Sun, 08/17/2025 - 11:45 AM
Completed: Sun, 08/17/2025 - 11:45 AM
Changed: Mon, 08/25/2025 - 12:57 PM
Remote IP address: 144.174.214.38
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Raghav Gnanasambandam
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Faculty
FAMU-FSU College of Engineering
Industrial and Manufacturing Engineering
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Additional Research Mentor(s)
Overall Project Details
Physics Informed Neural Networks on Amazon Web Services
Coding; Computation; Machine Learning;
Yes
1
Open to all majors
FAMU-FSU College of Engineering/Online
Yes
Partially Remote
6 hrs
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
This research aims to implement Physics-Informed Neural Networks (PINNs) on the cloud computing server Amazon Web Services (AWS). AWS offers a variety of cloud computing services, and the goal is to understand and implement Python code on the AWS servers. The results of the implementation will include performance comparisons, with application in 3D printing simulations. You will be trained on using AWS and PINNs by your supervisor.
1. Get familiar with AWS.
2. Get familiar with PINNs.
3. Implement Python code for PINNs on AWS
4. Performance comparisons on 3D printing simulations.
2. Get familiar with PINNs.
3. Implement Python code for PINNs on AWS
4. Performance comparisons on 3D printing simulations.
Some knowledge of calculus (required)
Some familiarity with coding (recommended).
Some familiarity with coding (recommended).
Problem-based learning: Real-world problems are complex and multidisciplinary. The problem-based learning approach gives the students a problem they are excited about so that they develop the skills, often interdisciplinary, to solve it.
Growth Mindset: A growth mindset encourages embracing challenges, learning from failures, and viewing effort as a path to mastery. This perspective fosters resilience and a love for learning, making it a powerful driver for personal and academic growth.
Growth Mindset: A growth mindset encourages embracing challenges, learning from failures, and viewing effort as a path to mastery. This perspective fosters resilience and a love for learning, making it a powerful driver for personal and academic growth.
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UROP Program Elements
Yes
Yes
Yes
Yes
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=UKy1mMXYXj10wK5EHQQc176vaTDntqjJVVDwl1ewT4A