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: Wed, 10/29/2025 - 03:51 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; 
  
  
  
  
      
  
  
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  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
      
  
  
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  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=UKy1mMXYXj10wK5EHQQc176vaTDntqjJVVDwl1ewT4A